Travaux publiés

Publications

Articles de revue, communications de conférence et chapitres de livre signés par les chercheurs et les étudiants du laboratoire.

436 publications

  • 2026
    Guité-Vinet, J., Massé, A. B., Beaudry, É. (2026) A Lightweight Multi-View Approach to Short-Term Load Forecasting. Open MIND.
  • 2026
    Massoua, A. B., Bouguessa, M., Diallo, A. B. (2026) A Unified Framework for Reliable Survival Analysis. IEEE Transactions on Artificial Intelligence, 1-15. Institute of Electrical and Electronics Engineers.
  • 2026
    Amar, M. M., Mrabah, N., Bouguessa, M., Diallo, A. B. (2026) A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions. IEEE Transactions on Knowledge and Data Engineering, 4076-4092. IEEE Computer Society.
  • 2026
    Mohamed, M., Beaudry, É., Brenneis, D., Hebert, J., Westover, L. (2026) Analyzing the Sensitivity, Reliability, and Classification Accuracy of Vibration-Based Metrics for Stability Assessment of Percutaneous Osseointegrated Transfemoral Implants. Journal of Medical Devices, 1-41. ASM International.
  • 2026
    Tato, A., Nkambou, R. (2026) Constrained Multimodal Neural Networks for Interpretable Adaptation Rule Extraction in Game-Based Learning. Zenodo (CERN European Organization for Nuclear Research). European Organization for Nuclear Research.
  • 2026
    Toure, F. G., Diallo, A. B., Boukadoum, M. (2026) Farm-Scale Autonomous Welfare Monitoring in Smart Livestock Farming: A Systematic Review of Robotics and Multimodal AI With an Emphasis on the Lab-to-Farm Deployment Gap. IEEE Transactions on AgriFood Electronics, 1-10. Institute of Electrical and Electronics Engineers.
  • 2026
    Abdous, K., Mrabah, N., Bouguessa, M. (2026) Modeling heterophily in multiplex graphs: An adaptive approach for node classification. Expert Systems with Applications, 132374-132374. Elsevier BV.
  • 2026
    Ansari, S., Boukadoum, M., Sadat, F. (2026) Multi-modal Neural Machine Translation for Low-Resource Classical Persian Poetry: A Culture-Aware Evaluation.
  • 2026
    Nkambou, R., Nfor, E., Kengne, D. (2026) PedRAG: Do LLM Tutors Practice What They Preach? Preventing Behavioral Hallucinations through Theory-Grounded Runtime Control. Zenodo (CERN European Organization for Nuclear Research). European Organization for Nuclear Research.
  • 2026
    Soucy, M., Lounis, H., Robert, S. (2026) Public Debt Management: A New Perspective.
  • 2026
    Benabderrahmane, S., Valtchev, P., Cheney, J., Rahwan, T. (2026) Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space. Open MIND.
  • 2026
    Nicol, M., St-Denis, A., Belbahar, R. M., Maure, F., Gascon-Afriat, A., Messier, C. et al. (2026) SylvCiT – An AI-based support to urban forest resilience. PLoS ONE, e0339173-e0339173. Public Library of Science.
  • 2026
    Kengne, D., Mankejeu, V., Nkambou, R., Tato, A. (2026) Towards a Neurosymbolic Cognitive Digital Twin for Aircraft Pilots: An Ontology-Driven ACT-R Architecture for Procedural Behavior Modeling. Lecture notes in computer science, 299-318. Springer Science+Business Media.
  • 2026
    Haddad, M., Bouguessa, M. (2026) TrackGAE: Tracking Dynamic Community Evolution with Graph Autoencoders. Lecture notes in computer science, 193-202. Springer Science+Business Media.
  • 2025
    Naghashi, V., Boukadoum, M., Diallo, A. B. (2025) A bi-directional cross-channel RNN model for time-series forecasting of dairy production. Scientific Reports, 44967-44967. Nature Portfolio.
  • 2025
    Naghashi, V., Boukadoum, M., Diallo, A. B. (2025) A multiscale model for multivariate time series forecasting. Scientific Reports, 1565-1565. Nature Portfolio.
  • 2025
    Courtemanche, M. A., Nkambou, R., Valéry, P. (2025) A Unified Ontological Approach for Modeling Domain Theory and Procedures: Applications, Issues and Prospects. Lecture notes in computer science, 270-280. Springer Science+Business Media.
  • 2025
    Benabderrahmane, S., Valtchev, P., Cheney, J., Rahwan, T. (2025) APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models.
  • 2025
    Tato, A., Nkambou, R. (2025) Can LLMs Generate Accurate Bayesian Networks to Enhance Knowledge Tracing ?. Lecture notes in computer science, 319-332. Springer Science+Business Media.
  • 2025
    Maison, L., Soulas, T., Meurs, M. (2025) CEREALES : a new dataset of Quebec French accented speech with applications to speech recognition.
  • 2025
    Chakour, H., Sadat, F. (2025) Disability Bias Detection in Electra-based Masked Language Model. ScholarSpace (University of Hawaii at Manoa). University of Hawaiʻi at Mānoa.
  • 2025
    Besrour, M., Lavoie, J. M., Omrani, T., Ménard, J., Ranjbar-Koleibi, E., Martin-Hardy, G. et al. (2025) Energy-efficient spiking neural network implementation for a retinal prosthesis. Neuroelectronics..
  • 2025
    Minn, S., Nkambou, R. (2025) Enhanced Interpretable Knowledge Tracing for Students’ Performance Prediction with Human-understandable Feature Space. Lecture notes in computer science, 423-430. Springer Science+Business Media.
  • 2025
    Tchio, G. C. T., Nkambou, R., Psyché, V., Tato, A. (2025) Enhancing Pilot Training and Decision-Making Using Ontologies: A Cognitive Assistance Approach. Lecture notes in computer science, 59-73. Springer Science+Business Media.
  • 2025
    Rehouma, H., Boukadoum, M. (2025) Fall Detection by Bimodal Sensing with Late Fusion.
  • 2025
    Rehouma, H., Boukadoum, M. (2025) Fall Detection by Deep Learning-Based Bimodal Movement and Pose Sensing with Late Fusion. Sensors, 6035-6035. Multidisciplinary Digital Publishing Institute.
  • 2025
    Tato, A., Nkambou, R. (2025) Leveraging LLMs for Bayesian and Deep Knowledge Tracing in the Logic-Muse Intelligent Tutoring System. Lecture notes in computer science, 182-191. Springer Science+Business Media.
  • 2025
    Amar, M. M., Bouguessa, M., Diallo, A. B. (2025) MLCDG: Multi-Level Contrastive Graph Clustering in Dynamic Graphs. Lecture notes in computer science, 197-210. Springer Science+Business Media.
  • 2025
    Lazli, L., Chériet, F., Boukadoum, M. (2025) Multiclass prediction of Alzheimer’s disease using balanced multimodal data and deep ensemble learning. Biomedical Signal Processing and Control, 109026-109026. Elsevier BV.
  • 2025
    Lazli, L., Boukadoum, M., Chériet, F. (2025) Places365-CNNs for 4-Way Classification of Alzheimer’s Disease Using MRI Images. Communications in computer and information science, 14-25. Springer Science+Business Media.
  • 2025
    Benmoussa, A., Kientega, T., Morel, S., Cardin, G. B., Bérard, S., Wajnberg, M. et al. (2025) Poor Diet Quality is Associated with Premature Senescence of the Immune System in Survivors of Childhood Acute Lymphoblastic Leukaemia. Nutrition and Cancer, 490-505. Routledge.
  • 2025
    Mrabah, N., Bouguessa, M., Sami, S. (2025) Scalable Deep Subspace Clustering Network.
  • 2025
    Naghashi, V., Boukadoum, M., Diallo, A. B. (2025) Should We Reconsider RNNs for Time-Series Forecasting?. AI, 90-90. Multidisciplinary Digital Publishing Institute.
  • 2025
    Bouguessa, M., Mrabah, N., Amdouni, Y. (2025) Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels.
  • 2025
    Massoua, A. B., Bouguessa, M., Diallo, A. B. (2025) Survival Structured Probabilistic Coding: Uncertainty-Aware Representation Learning for Time-to-Event Prediction.
  • 2025
    Kengne, D., Nkambou, R., Tato, A., Lacourarie, C. (2025) Towards Predicting Complex Carpooling Trajectories with Context-Augmented BERT-LLM in Chaotic Environments. Lecture notes in computer science, 419-431. Springer Science+Business Media.
  • 2025
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2025) Towards Topologically Diverse Probabilistic Planning Benchmarks: Synthetic Domain Generation for Markov Decision Processes. Studies in classification, data analysis, and knowledge organization, 61-69. Springer Nature.
  • 2025
    Mijiyawa, A., Sadat, F. (2025) Visual Question Answering Using Multimodal Data Augmentation for Hausa.
  • 2024
    Abdous, K., Mrabah, N., Bouguessa, M. (2024) A Geometric Perspective for High-Dimensional Multiplex Graphs.
  • 2024
    Samadi, A., Harous, A., Mohamed, O. A., Boukadoum, M. (2024) Advanced SEU and MBU Vulnerability Assessment of Deep Neural Networks in Air-to-Air Collision Avoidance Systems via SAT-Based Techniques.
  • 2024
    Oukaira, A., Savaria, Y., Boukadoum, M., Lakhssassi, A. (2024) Advanced Simulation and Design Methodology of Josephson Traveling-Wave Parametric Amplifiers (JTWPA) for Quantum Electronics Applications.
  • 2024
    Kenmogne, E. B., Tetakouchom, I., Djamegni, C. T., Nkambou, R., Cabrel, T. F. L. (2024) An Improved Algorithm for Extracting Frequent Gradual Patterns. Informatica, 577-600. IOS Press.
  • 2024
    Lachance, G., Gauvreau, D., Boisselier, É., Boukadoum, M., Miled, A. (2024) Breaking Barriers: Exploring Neurotransmitters through In Vivo vs. In Vitro Rivalry. Sensors, 647-647. Multidisciplinary Digital Publishing Institute.
  • 2024
    Dekhili, G., Le, T. N., Sadat, F. (2024) Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference. George A. Smathers Libraries.
  • 2024
    Drizi, H. K., Boukadoum, M. (2024) CNN Model with Transfer learning and Data Augmentation for Obstacle Detection in Rail Systems.
  • 2024
    Lachance, G., Boisselier, É., Boukadoum, M., Miled, A. (2024) Compact Grism-Based High-resolution Colorimetric Sensing System for Liquid Samples.
  • 2024
    Lachance, G., Chamelot, G., Morin, J., Boisselier, É., Boukadoum, M., Miled, A. (2024) Compact Poly/Monochromatic Colorimetric Sensing System With Integrated Microfluidic Sampler. IEEE Sensors Journal, 37666-37677. IEEE Sensors Council.
  • 2024
    Gareau, J. C., Lavoie, M. A., Gosset, G., Beaudry, É. (2024) Cooperative Electric Vehicles Planning.
  • 2024
    Ouali, M. A., Bouguessa, M., Ksantini, R. (2024) DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks.
  • 2024
    Le, N. T., Sadat, F. (2024) Enhancing Neural Machine Translation of Indigenous Languages through Gender Debiasing and Named Entity Recognition.
  • 2024
    Mohamed, M., Beaudry, É., Shehata, A. W., Raboud, D. W., Hebert, J. S., Westover, L. (2024) Evaluation of the Transfemoral Bone–Implant Interface Properties Using Vibration Analysis. Annals of Biomedical Engineering, 2987-3008. Springer Science+Business Media.
  • 2024
    Lahmiri, S., Boukadoum, M., Di Ieva, A. (2024) Fractals in Neuroimaging. Advances in neurobiology, 429-444. Springer International Publishing.
  • 2024
    Benabderrahmane, S., Hoang, N. T., Valtchev, P., Cheney, J., Rahwan, T. (2024) Hack me if you can: Aggregating autoencoders for countering persistent access threats within highly imbalanced data. Future Generation Computer Systems, 926-941. Elsevier BV.
  • 2024
    Tchio, G. C. T., Nkambou, R., Nyamen, A. A. T., Psyché, V. (2024) Handling of Abnormal Aircraft Takeoff Procedures: Cognitive Modeling of an ACT-R Synthetic Pilot Integrating an Ontological Reference Model. Lecture notes in networks and systems, 448-461. Springer International Publishing.
  • 2024
    Souaker, F., Boukadoum, M. (2024) Light Siamese Neural Network Architecture for Image Comparison.
  • 2024
    Cadotte, A., André, N., Sadat, F. (2024) Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models?.
  • 2024
    Homte, J. S. K., Batchakui, B., Nkambou, R. (2024) Optimization of Information Retrieval Systems for Learning Contexts. International Journal of Artificial Intelligence in Education, 65-95. Springer Science+Business Media.
  • 2024
    Saleh, L., Boukadoum, M., Mili, H. (2024) Sorting Through ML Algorithms: A Call for Community Contributions.
  • 2024
    Buteau, É., Gagné, G., Bonilla, W., Boukadoum, M., Fortier, P., Gosselin, B. (2024) TinyML for Real-Time Embedded HD-EMG Hand Gesture Recognition with On-Device Fine-Tuning.
  • 2024
    Guité-Vinet, J., Massé, A. B., Sadat, F. (2024) Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 23508-23509. Association for the Advancement of Artificial Intelligence.
  • 2024
    Tchio, G. C. T., Nkambou, R., Tato, A., Psyché, V. (2024) Towards Cognitive Coaching in Aircraft Piloting Tasks: Building an ACT-R Synthetic Pilot Integrating an Ontological Reference Model to Assist the Pilot and Manage Deviations. Lecture notes in computer science, 202-216. Springer Science+Business Media.
  • 2024
    Diab, N., Sadat, F., Semmar, N. (2024) Towards Guided Back-translation for Low-resource languages- A Case Study on Kabyle-French.
  • 2024
    Massoua, A. B., Diallo, A. B., Bouguessa, M. (2024) Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model.
  • 2023
    Mrabah, N., Bouguessa, M., Ksantini, R. (2023) A contrastive variational graph auto-encoder for node clustering. Pattern Recognition, 110209-110209. Elsevier BV.
  • 2023
    Batchakui, B., Nkambou, R., Tawamba, E. (2023) A Hybrid Approach to Ontology Modularization. SN Computer Science. Springer Nature.
  • 2023
    Choudhry, A., Khatri, I., Gupta, P., Gupta, A., Nicol, M., Meurs, M. et al. (2023) Adversarial Adaptation for French Named Entity Recognition. Lecture notes in computer science, 386-395. Springer Science+Business Media.
  • 2023
    St‐Denis, A., Maure, F., Belbahar, R. M., Delagrange, S., Handa, I. T., Kneeshaw, D. et al. (2023) An Urban Forest Diversification Software to Improve Resilience to Global Change. Arboriculture & Urban Forestry, 76-91.
  • 2023
    Beaulieu, P. O., Dumesnil, E., Nabki, F., Boukadoum, M. (2023) Analog RF Circuit Sizing by a Cascade of Shallow Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 4391-4401. Institute of Electrical and Electronics Engineers.
  • 2023
    Courtemanche, M. A., Tato, A., Nkambou, R. (2023) Automatic Execution of the Ontological Piloting Procedures. Lecture notes in computer science, 29-41. Springer Science+Business Media.
  • 2023
    Tato, A., Nkambou, R., Tato, G. J. N. (2023) Automatic Learning of Piloting Behavior from Flight Data. Lecture notes in computer science, 541-552. Springer Science+Business Media.
  • 2023
    Cissé, T. I., Sadat, F. (2023) Automatic Spell Checker and Correction for Under-represented Spoken Languages: Case Study on Wolof.
  • 2023
    Mrabah, N., Bouguessa, M., Ksantini, R. (2023) Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. Society for Industrial and Applied Mathematics eBooks, 100-108. Society for Industrial and Applied Mathematics.
  • 2023
    Li, Y., Beaudry, É., Besada, N., Chan, R., Westover, L. (2023) Biomechanical Comparison of Distal Radioulnar Joint Reconstruction Graft Preparation Techniques. Journal of Wrist Surgery, 038-043. Thieme Medical Publishers (Germany).
  • 2023
    Gareau, J. C., Gosset, G., Beaudry, É., Makarenkov, V. (2023) Cache-Efficient Dynamic Programming MDP Solver. Frontiers in artificial intelligence and applications.
  • 2023
    Niyonambaza, S. D., Lachance, G., Boisselier, É., Boukadoum, M., Miled, A. (2023) Concept of a Crossed Czerny–Turner Spectrometer With an Integrated Automatic Sampling System for Biodetection Using Ultrastable Gold Nanoparticles. IEEE Sensors Journal, 14819-14825. IEEE Sensors Council.
  • 2023
    Zazoua, E. H., Ajib, W., Boukadoum, M. (2023) Deep Learning-Based Receiver Energy Prediction in Energy Harvesting Wireless Sensor Network.
  • 2023
    Mili, H., Benzarti, I., Elkharraz, A., Boussaidi, G. E., Guéhéneuc, Y., Valtchev, P. (2023) Discovering Reusable Functional Features in Legacy Object-Oriented Systems. IEEE Transactions on Software Engineering, 3827-3856. IEEE Computer Society.
  • 2023
    Chamberland, F., Buteau, É., Tam, S., Fortier, P., Boukadoum, M., Campeau‐Lecours, A. et al. (2023) EMaGer: A Wearable Full-Circumference HD-EMG Sensor and Data Augmentation Method for Robust Hand Gesture Recognition.
  • 2023
    Mrabah, N., Amar, M. M., Bouguessa, M., Diallo, A. B. (2023) Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. Proceedings of the AAAI Conference on Artificial Intelligence, 9235-9242. Association for the Advancement of Artificial Intelligence.
  • 2023
    Arulmohan, S., Meurs, M., Mosser, S. (2023) Extracting Domain Models from Textual Requirements in the Era of Large Language Models.
  • 2023
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2023) Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function. Frontiers in Robotics and AI, 1076897-1076897. Frontiers Media.
  • 2023
    Abdous, K., Mrabah, N., Bouguessa, M. (2023) Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Transactions on Knowledge and Data Engineering, 1624-1637. IEEE Computer Society.
  • 2023
    Tchio, G. C. T., Courtemanche, M. A., Tato, A., Nkambou, R., Psyché, V. (2023) Integrating an Ontological Reference Model of Piloting Procedures in ACT-R Cognitive Architecture to Simulate Piloting Tasks. Lecture notes in computer science, 183-194. Springer Science+Business Media.
  • 2023
    Rancourt, F., Vondrlik, P., Maupomé, D., Meurs, M. (2023) Investigating Self-Rationalizing Models for Commonsense Reasoning. Stats, 907-919. Multidisciplinary Digital Publishing Institute.
  • 2023
    Nkambou, R., Brisson, J., Tato, A., Robert, S. (2023) Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling. Proceedings of the AAAI Conference on Artificial Intelligence, 15930-15937. Association for the Advancement of Artificial Intelligence.
  • 2023
    Isabel, X., Labbé, T., Chamberland, F., Buteau, É., Campbell, E., Côté‐Allard, U. et al. (2023) Live Demonstration: A fully embedded adaptive real-time hand gesture classifier leveraging HD-sEMG and deep learning.
  • 2023
    Université du Québec à Montréal, Montréal, Québec, Canada, Cadotte, A., Thernish, A. C., Cégep de Sept-Îles, Sept-Îles, Québec, Canada, Uashat Mak Mani-Utenam Community, Canada, Sadat, F. et al. (2023) Lost in Innu-Aimun Translation – Re-dening Neural Machine Translation for Indigenous Interpreters and Translators Needs.
  • 2023
    Martin, T., Valtchev, P., Roux, L. R. (2023) Mining frequent generators and closures in data streams with FGC-Stream. Knowledge and Information Systems, 3295-3335. Springer Science+Business Media.
  • 2023
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2023) Modeling Regime Shifts in Multiple Time Series. ACM Transactions on Knowledge Discovery from Data, 1-31. Association for Computing Machinery.
  • 2023
    Tajeuna, E. G., Fahmy, A. F. M., Bouguessa, M. (2023) Modeling Time-Varying User Attitudes in Social Media.
  • 2023
    Baghdadi, M., Benamrane, N., Boukadoum, M., Saïs, L. (2023) Multi-object 3D segmentation of brain structures using a geometric deformable model with a priori knowledge. The Imaging Science Journal, 1169-1190. Taylor & Francis.
  • 2023
    Maupomé, D., Meurs, M. (2023) Multiplicative Models for Recurrent Language Modeling. Lecture notes in computer science, 332-341. Springer Science+Business Media.
  • 2023
    Pajot, N., Boukadoum, M. (2023) Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study. Journal of Engineering Research and Sciences, 1-14.
  • 2023
    Chamberland, F., Buteau, É., Tam, S., Campbell, E., Mortazavi, A., Scheme, E. et al. (2023) Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning. IEEE Transactions on Biomedical Circuits and Systems, 968-984. Institute of Electrical and Electronics Engineers.
  • 2023
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2023) PcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains. Studies in classification, data analysis, and knowledge organization, 101-109. Springer Nature.
  • 2023
    Besrour, M., Bouchard, S., Mohanty, R., Lavoie, J. M., Omrani, T., Gouin-Ferland, B. et al. (2023) Quantized Spiking Neural Networks on FPGA: An Application to Retinal Prosthetics.
  • 2023
    Mrabah, N., Bouguessa, M., Touati, M. F., Ksantini, R. (2023) Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract).
  • 2023
    Mrabah, N., Amar, M. M., Bouguessa, M., Diallo, A. B. (2023) Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.
  • 2023
    Tato, A., Nkambou, R. (2023) Towards a multi-modal Deep Learning Architecture for User Modeling. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference. George A. Smathers Libraries.
  • 2023
    Tato, A., Nkambou, R. (2023) Towards Extracting Adaptation Rules from Neural Networks. Communications in computer and information science, 543-548. Springer Science+Business Media.
  • 2023
    Le, N. T., Kasdi, S., Sadat, F. (2023) Towards the First Named Entity Recognition of Inuktitut for an Improved Machine Translation.
  • 2023
    Fahmy, A. F. M., Tajeuna, E. G., Bouguessa, M. (2023) Tracking User Sentiment Changes on Social Networks.
  • 2023
    Choudhry, A., Gupta, P., Khatri, I., Gupta, A., Nicol, M., Meurs, M. et al. (2023) Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 16196-16197. Association for the Advancement of Artificial Intelligence.
  • 2022
    Beaulieu, P. O., Nabki, F., Boukadoum, M. (2022) 8-bit Partial Magnitude Comparator for Spike Generation in the Leaky Integrate-and-Fire Neuron Model using Gate-Diffusion-Input Logic Gates. 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 1-4.
  • 2022
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2022) A Longitudinal Study of Customer Electricity Load Profiles. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 289-294.
  • 2022
    Tajeuna, E. G., Bouguessa, M. (2022) A Time-Dependent-Based Approach to Enhance Self-Harm Prediction.
  • 2022
    Abidine, M. B., Oussalah, M., Fergani, B., Lounis, H. (2022) Activity recognition on smartphones using an AKNN based support vectors. Sensor Review, 384-401. Emerald Publishing Limited.
  • 2022
    Besrour, M., Zitoun, S., Lavoie, J. M., Omrani, T., Koua, K., Benhouria, M. et al. (2022) Analog Spiking Neuron in 28 nm CMOS. 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 148-152.
  • 2022
    Zarglayoun, H., Laurendeau-Martin, J., Tato, A., Vera-Estay, E., Blondin, A., Lamy-Brunelle, A. et al. (2022) Assessing and Optimizing Socio-Moral Reasoning Skills: Findings From the MorALERT Serious Video Game. Frontiers in Psychology, 767596-767596. Frontiers Media.
  • 2022
    Dandurand, G., Lussier-Lejeune, F., Letendre, D., Meurs, M. (2022) Attentes et promesses technoscientifiques. Les Presses de l'Université de Montréal eBooks. Presses de l'Université de Montréal.
  • 2022
    Bomgni, A. B., Fotseu, E. B. F., Wambo, D. R. K., Sani, R. K., Lushbough, C., Gnimpiéba, E. Z. (2022) Attention model-based and multi-organism driven gene recognition from text: application to a microbial biofilm organism set. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3596-3598.
  • 2022
    Ghaderi, M., Courtemanche, M. A., Ben Abdessalem, H., Nkambou, R., Frasson, C. (2022) Attentional Tasks Model: A Focus Group Approach. Lecture notes in networks and systems, 297-307. Springer International Publishing.
  • 2022
    Maupomé, D., Armstrong, M. D., Belbahar, R. M., Alezot, J., Balassiano, R., Rancourt, F. et al. (2022) Automatically Estimating the Severity of Multiple Symptoms Associated with Depression. Studies in computational intelligence, 247-261. Springer Nature.
  • 2022
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2022) Cache-Efficient Memory Representation of Markov Decision Processes.
  • 2022
    Cadotte, A., Le Ngoc, T., Boivin, M., Sadat, F. (2022) Challenges and Perspectives for Innu-Aimun within Indigenous Language Technologies.
  • 2022
    Maupomé, D., Meurs, M. (2022) Contextualizer: Connecting the Dots of Context with Second-Order Attention. Information, 290-290. Multidisciplinary Digital Publishing Institute.
  • 2022
    Queudot, M., Marceau, L., Belbahar, R. M., Charton, É., Meurs, M. (2022) Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems.
  • 2022
    Tato, A., Nkambou, R. (2022) Deep Knowledge Tracing on Skills with Small Datasets. Lecture notes in computer science, 123-135. Springer Science+Business Media.
  • 2022
    Bensalem, R., Shovan, A. S., Trudel, J. M., Tawfik, H. H., Allidina, K., Elsayed, M. Y. et al. (2022) Design of an Integrated Micro-Viscometer for Monitoring Engine Oil. Sensors, 5157-5157. Multidisciplinary Digital Publishing Institute.
  • 2022
    Tajeuna, E. G., Bouguessa, M. (2022) Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. 2022 International Joint Conference on Neural Networks (IJCNN), 1-10.
  • 2022
    Kenmogne, E. B., Djamegni, C. T., Nkambou, R., Cabrel, T. F. L., Tadmon, C. (2022) Efficient mining of intra-periodic frequent sequences. Array, 100263-100263. Elsevier BV.
  • 2022
    Naoum, H., Benslimane, S. M., Boukadoum, M. (2022) Encompassing Chaos in Brain-inspired Neural Network Models for Substance Identification and Breast Cancer Detection. Advances in Science Technology and Engineering Systems Journal, 32-43. Advances in Science, Technology and Engineering Systems Journal (ASTESJ).
  • 2022
    Mrabah, N., Bouguessa, M., Ksantini, R. (2022) Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering.
  • 2022
    Martin, T., Frías, V. G. F., Valtchev, P., Diallo, A. B., Lacroix, R. (2022) Generalized graph pattern discovery in linked data with data properties and a domain ontology. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1890-1899.
  • 2022
    Nkambou, R., Frasson, M. C., Frasson, C. (2022) Generating Courses in an Intelligent Tutoring System. Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 261-266.
  • 2022
    Ouali, M. A., Bouguessa, M., Ksantini, R. (2022) Graph Attention Network for Camera Relocalization on Dynamic Scenes. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 1-10.
  • 2022
    Hansal, O., Le, N. T., Sadat, F. (2022) Indigenous Language Revitalization and the Dilemma of Gender Bias.
  • 2022
    Tato, A., Nkambou, R. (2022) Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments. Frontiers in Artificial Intelligence, 921476-921476. Frontiers Media.
  • 2022
    Dandurand, G., Lussier-Lejeune, F., Claveau, F., Letendre, D., Meurs, M. (2022) Introduction. Les Presses de l'Université de Montréal eBooks, 7-23. Presses de l'Université de Montréal.
  • 2022
    Menhour, I., Abidine, M. B., Fergani, B., Lounis, H. (2022) KDA-Based WKNN-SVM Method for Activity Recognition System From Smartphone Data. International Journal of Software Innovation, 67-87. IGI Global.
  • 2022
    Dandurand, G., Lussier-Lejeune, F., Letendre, D., Meurs, M. (2022) Liste des tableaux et figures. Les Presses de l'Université de Montréal eBooks, 275-275. Presses de l'Université de Montréal.
  • 2022
    Lachance, G., Boisselier, É., Boukadoum, M., Miled, A. (2022) Molecular sensing system based on multi-technologies architecture.
  • 2022
    Belainine, B., Sadat, F., Boukadoum, M. (2022) Multi-Dimension Attention for Multi-Turn Dialog Generation (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 12909-12910. Association for the Advancement of Artificial Intelligence.
  • 2022
    Abdelmadjid, M. A., Boukadoum, M. (2022) Neural Network-Based Signal Translation with Application to the ECG. 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 542-546.
  • 2022
    Bergeron, A., Meurs, M., Valiquette-Labonté, R., Swenson, K. M. (2022) On the Comparison of Bacteriophage Populations. Lecture notes in computer science, 3-20. Springer Science+Business Media.
  • 2022
    Rancourt, F., Maupomé, D., Meurs, M. (2022) On the Influence of Annotation Quality in Suicidal Risk Assessment from Text.
  • 2022
    Courtemanche, M. A., Tato, A., Nkambou, R. (2022) Ontological Reference Model for Piloting Procedures. Lecture notes in computer science, 95-104. Springer Science+Business Media.
  • 2022
    Kameni, J. S. H., Batchakui, B., Nkambou, R. (2022) Optimization of Search Environments for Learning Contexts. International Journal on Advanced Science Engineering and Information Technology, 521-529. Insight Society.
  • 2022
    Mrabah, N., Bouguessa, M., Touati, M. F., Ksantini, R. (2022) Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Transactions on Knowledge and Data Engineering, 9037-9053. IEEE Computer Society.
  • 2022
    Soulard, G., Lachance, G., Boisselier, É., Boukadoum, M., Miled, A. (2022) RISC-V Based Processor Architecture for an Embedded Visible Light Spectrophotometer.
  • 2022
    Homte, J. S. K., Batchakui, B., Nkambou, R. (2022) Search Engines in Learning Contexts: A Literature Review. International Journal of Emerging Technologies in Learning (iJET), 254-272. kassel university press.
  • 2022
    Miled, A., Landari, H., Boukadoum, M., Messaddeq, Y. (2022) Sensing and Sampling Probes for Bioapplications.
  • 2022
    Dammak, C., Mohamed, O. A., Boukadoum, M. (2022) SEU Reliability Assessment Framework for COTS Many-core Processors.
  • 2022
    Tam, S., Boukadoum, M., Campeau‐Lecours, A., Gosselin, B. (2022) Siamese Convolutional Neural Network and Few-Shot Learning for Embedded Gesture Recognition. 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 114-118.
  • 2022
    Amache, A., Ajib, W., Boukadoum, M. (2022) Support Vector-Based Unsupervised Learning Approaches for Radio Frequency Interference Detection. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 1-5.
  • 2022
    Tato, A., Nkambou, R., Tato, G. J. N. (2022) Towards Adaptive Coaching in Piloting Tasks: Learning Pilots’ Behavioral Profiles from Flight Data. Lecture notes in computer science, 105-114. Springer Science+Business Media.
  • 2022
    Lachance, G., Boisselier, É., Boukadoum, M., Miled, A. (2022) Towards an advanced neurotechnological system: colorimetric sensing with a novel grism-based spectrometer, functionalized gold nanoparticles and a heterogeneous embedded system. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 20210016-20210016. Royal Society.
  • 2021
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2021) A Fast Electric Vehicle Planner Using Clustering. Studies in classification, data analysis, and knowledge organization, 17-25. Springer Nature.
  • 2021
    Benabderrahmane, S., Berrada, G., Cheney, J., Valtchev, P. (2021) A Rule Mining-based Advanced Persistent Threats Detection System.
  • 2021
    Elimam, S., Bouguessa, M. (2021) An Evaluation Dataset for Depression Detection in Arabic Social Media. International Journal of Knowledge Engineering and Data Mining, 1-1.
  • 2021
    Lachance, G., Boisselier, É., Boukadoum, M., Miled, A. (2021) Assessment of a Grism-based spectrometer design for neurotransmitter detection: preliminary results.
  • 2021
    Chebli, A., Djebbar, A., Merouani, H. F., Lounis, H. (2021) Case-Base Maintenance: An Approach Based on Active Semi-Supervised Learning. International Journal of Pattern Recognition and Artificial Intelligence, 2151011-2151011. World Scientific.
  • 2021
    Naoum, H., Benslimane, S. M., Boukadoum, M. (2021) Classical and Brain-inspired Neural Networks for Substance Identification and Breast Cancer Detection: The Chaos Challenge.
  • 2021
    Lachance, G., Soulard, G., Bouffard, L., Boisselier, É., Boukadoum, M., Miled, A. (2021) Colorimetric Sensing System for Neurotransmitter Detection Based on Multi-technologies Architecture. 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 1-4.
  • 2021
    Batchakui, B., Tawamba, E., Nkambou, R. (2021) COMET: An Ontology Extraction Tool based on a Hybrid Modularization Approach. KEOD, 74-83.
  • 2021
    Ben Slimane, F., Bouguessa, M. (2021) Context Matters: Self-Attention for Sign Language Recognition.
  • 2021
    Bashir, E., Bouguessa, M. (2021) Data Mining for Cyberbullying and Harassment Detection in Arabic Texts. International Journal of Information Technology and Computer Science, 41-50.
  • 2021
    Maupomé, D., Armstrong, M. D., Rancourt, F., Soulas, T., Meurs, M. (2021) Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks.. CLEF (Working Notes), 1031-1045.
  • 2021
    Massardi, J., Gravel, M., Beaudry, É. (2021) Error-Tolerant Anytime Approach to Plan Recognition Using a Particle Filter. Proceedings of the International Conference on Automated Planning and Scheduling, 284-291.
  • 2021
    Haddad, M., Bouguessa, M. (2021) Exploring the representational power of graph autoencoder. Neurocomputing, 225-241. Elsevier BV.
  • 2021
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2021) Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem. Lecture notes in computer science, 87-96. Springer Science+Business Media.
  • 2021
    Martin, T., Valtchev, P., Roux, L. R. (2021) FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streams.
  • 2021
    Gauvreau, D., Lachance, G., Landari, H., Boisselier, É., Boukadoum, M., Messaddeq, Y. et al. (2021) Finite Element Simulation of a Microdroplet Generation System for an Implantable Liquid Sampling Probe. 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), 01-04.
  • 2021
    Martin, T., Frías, V. G. F., Valtchev, P., Diallo, A. B., Lacroix, R., Boukadoum, M. et al. (2021) Graph pattern mining on top of a domain ontology – preliminary results from a dairy production application. Procedia Computer Science, 1227-1236. Elsevier BV.
  • 2021
    Tam, S., Boukadoum, M., Campeau‐Lecours, A., Gosselin, B. (2021) Intuitive real-time control strategy for high-density myoelectric hand prosthesis using deep and transfer learning. Scientific Reports, 11275-11275. Nature Portfolio.
  • 2021
    Wajnberg, M., Valtchev, P., Lezoche, M., Blondin-Massé, A., Panetto, H. (2021) La FCA est devenue (multi-)relationnelle, mais cela fait-il une différence ?. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2021
    Nkambou, R., Brisson, J., Robert, S., Tato, A. (2021) Learning Logical Reasoning : Improving the Student Model with a Data Driven Approach. Lecture notes in computer science, 60-67. Springer Science+Business Media.
  • 2021
    Maupomé, D., Armstrong, M. D., Rancourt, F., Meurs, M. (2021) Leveraging Textual Similarity to Predict Beck Depression Inventory Answers.
  • 2021
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2021) Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting. ACM Transactions on Intelligent Systems and Technology, 1-26. Association for Computing Machinery.
  • 2021
    Le, N. T., Sadat, F. (2021) Multilingual Automatic Term Extraction in Low-Resource Domains. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference. George A. Smathers Libraries.
  • 2021
    Meftah, S., Semmar, N., Tamaazousti, Y., Essafi, H., Sadat, F. (2021) On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets. HAL (Le Centre pour la Communication Scientifique Directe), 140-145. Centre National de la Recherche Scientifique.
  • 2021
    Landari, H., Boukadoum, M., Messaddeq, Y., Miled, A. (2021) Optical Detection Techniques for Bioanalysis.
  • 2021
    Maupomé, D., Fancourt, F., Armstrong, M. D., Meurs, M. (2021) Position Encoding Schemes for Linear Aggregation of Word Sequences.
  • 2021
    Le Ngoc, T., Sadat, F. (2021) Revitalisation des langues autochtones via le prétraitement et la traduction automatique neuronale: le cas de l’inuktitut (Revitalization and Preservation of Indigenous Languages through Natural Language Processing )..
  • 2021
    Gérançon, B., Trudel, S., Nkambou, R., Robert, S. (2021) Software Functional Sizing Automation from Requirements Written as Triplets. International Conference on Software Engineering Advances, 23-29.
  • 2021
    Pajot, N., Boukadoum, M. (2021) Synchrony-Based State Representation for Classification by Liquid State Machines.
  • 2021
    Armstrong, M. D., Maupomé, D., Meurs, M. (2021) Topic Modeling in Embedding Spaces for Depression Assessment.
  • 2021
    Armstrong, M. D., Maupomé, D., Meurs, M. (2021) Topic Models for Assessment of Mental Health Issues.
  • 2021
    Sodoké, K., Nkambou, R., Tanoubi, I., Dufresne, A. (2021) Toward a Webcam Based ITS to Enhance Novice Clinician Visual Situational Awareness. Lecture notes in computer science, 239-243. Springer Science+Business Media.
  • 2021
    Le, N. T., Sadat, F. (2021) Towards a First Automatic Unsupervised Morphological Segmentation for Inuinnaqtun.
  • 2021
    Martin, T., Frías, V. G. F., Valtchev, P., Diallo, A. B., Lacroix, R., Leduc, M. et al. (2021) Towards Mining Generalized Patterns from RDF Data and a Domain Ontology. Communications in computer and information science, 268-278. Springer Science+Business Media.
  • 2020
    Abdellatif, M., Tighilt, R., Belkhir, A., Moha, N., Guéhéneuc, Y., Beaudry, É. (2020) A multi-dimensional study on the state of the practice of REST APIs usage in Android apps. Automated Software Engineering, 187-228. Springer Science+Business Media.
  • 2020
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2020) A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion. Applied Sciences, 1894-1894. Multidisciplinary Digital Publishing Institute.
  • 2020
    Mrabah, N., Bouguessa, M., Ksantini, R. (2020) Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Transactions on Knowledge and Data Engineering, 1603-1617. IEEE Computer Society.
  • 2020
    Fotso, J. E. M., Batchakui, B., Nkambou, R., Okereke, G. (2020) Algorithms for the Development of Deep Learning Models for Classification and Prediction of Behaviour in MOOCS. LWMOOCS, 180-184.
  • 2020
    Milot, J., Gareau, J. C., Beaudry, É. (2020) An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction. Lecture notes in computer science, 408-419. Springer Science+Business Media.
  • 2020
    Niyonambaza, S. D., Koudrina, A., DeRosa, M. C., Boukadoum, M., Miled, A., Boisselier, É. (2020) Aptamer-Modified Ultrastable Gold Nanoparticles for Dopamine Detection. IEEE Sensors Journal, 2517-2525. IEEE Sensors Council.
  • 2020
    Lachance, G., Bouffard, L., Boisselier, É., Miled, A., Boukadoum, M. (2020) Assessment of a Grism- Based Spectrometer Design for Neurotransmitter Detection.
  • 2020
    Bouguessa, M., Nouri, K. (2020) BiNeTClus. ACM Transactions on Intelligent Systems and Technology, 1-26. Association for Computing Machinery.
  • 2020
    van Tuyl, L., Batenburg, R., Keuper, J., Meurs, M., Friele, R. (2020) Blijvende veranderingen vanwege de coronapandemie voor huisartsenpraktijken. Organisatie van zorg op afstand in coronatijd..
  • 2020
    Martin, T., Diallo, A. B., Valtchev, P., Lacroix, R. (2020) Bridging the gap between an ontology and deep neural models by pattern mining.. JOWO.
  • 2020
    Mohammadi, E., Naji, N., Marceau, L., Queudot, M., Charton, É., Kosseim, L. et al. (2020) Classification of Rare Recipes Requires Linguistic Features as Special Ingredients. Lecture notes in computer science, 426-437. Springer Science+Business Media.
  • 2020
    Belainine, B., Sadat, F., Lounis, H. (2020) Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 13755-13756. Association for the Advancement of Artificial Intelligence.
  • 2020
    Mohammadi, E., Naji, N., Marceau, L., Queudot, M., Charton, É., Kosseim, L. et al. (2020) Cooking Up a Neural-based Model for Recipe Classification. Language Resources and Evaluation, 5000-5009. Springer Science+Business Media.
  • 2020
    Lachance, G., Niyonambaza, S. D., Boisselier, É., Boukadoum, M., Miled, A. (2020) Critical Comparison of Sequential and Non-sequential Modes Usage for the Design of a Czerny-Turner Spectrometer.
  • 2020
    Mohammadi, E., Marceau, L., Charton, É., Kosseim, L., Nerima, L., Meurs, M. (2020) Du bon usage d’ingrédients linguistiques spéciaux pour classer des recettes exceptionnelles. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2020
    Maupomé, D., Armstrong, M. D., Belbahar, R. M., Alezot, J., Balassiano, R., Queudot, M. et al. (2020) Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models.. CLEF (Working Notes).
  • 2020
    Tam, S., Boukadoum, M., Campeau‐Lecours, A., Gosselin, B. (2020) Forearm High-Density Electromyography Data Visualization and Classification with Machine Learning for Hand Prosthesis Control.
  • 2020
    Dekhili, G., Sadat, F. (2020) Hybrid Statistical and Attentive Deep Neural Approach for Named Entity Recognition in Historical Newspapers.. CLEF (Working Notes).
  • 2020
    Queudot, M., Charton, É., Meurs, M. (2020) Improving Access to Justice with Legal Chatbots. Stats, 356-375. Multidisciplinary Digital Publishing Institute.
  • 2020
    Ange, T., Nkambou, R. (2020) Improving First-Order Optimization Algorithms (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 13935-13936. Association for the Advancement of Artificial Intelligence.
  • 2020
    Maupomé, D., Meurs, M. (2020) Language Modeling with a General Second-Order RNN.. Language Resources and Evaluation, 4749-4753. Springer Science+Business Media.
  • 2020
    Martin, T., Valtchev, P., Diallo, A. B. (2020) Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data.. Conference on Information and Knowledge Management.
  • 2020
    Le, N. T., Sadat, F. (2020) Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut. Conference of the Association for Machine Translation in the Americas, 165-172.
  • 2020
    Wajnberg, M., Valtchev, P., Massé, A. B., Benmoussa, A., Krajinović, M., Laverdière, C. et al. (2020) Mining Heterogeneous Associations from Pediatric Cancer Data by Relational Concept Analysis.
  • 2020
    Belainine, B., Sadat, F., Lounis, H. (2020) Modelling a Conversational Agent with Complex Emotional Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 13710-13711. Association for the Advancement of Artificial Intelligence.
  • 2020
    Meftah, S., Semmar, N., Tahiri, M. A., Tamaazousti, Y., Essafi, H., Sadat, F. (2020) Multi-Task Supervised Pretraining for Neural Domain Adaptation.
  • 2020
    Madaan, P., Sadat, F. (2020) Multilingual Neural Machine Translation involving Indian Languages.
  • 2020
    Meurs, M., Sankatsing, V., Batenburg, R., Keuper, J., de Jong, J., van Tuyl, L. (2020) Nederlandse bevolking overwegend positief gestemd over het gebruik van digitale toepassingen in de zorg. Organisatie van zorg op afstand in coronatijd..
  • 2020
    Massardi, J., Gravel, M., Beaudry, É. (2020) PARC: A Plan and Activity Recognition Component for Assistive Robots.
  • 2020
    Askia, K. M., Meurs, M. (2020) Personalized Student Attribute Inference. Lecture notes in computer science, 553-557. Springer Science+Business Media.
  • 2020
    Le, T. N., Sadat, F. (2020) Revitalization of Indigenous Languages through Pre-processing and Neural Machine Translation: The case of Inuktitut.
  • 2020
    Meftah, S., Semmar, N., Zennaki, O., Sadat, F. (2020) Supervised Transfer Learning for Sequence Tagging of User-Generated-Content in Social Media. Lecture notes in computer science, 43-57. Springer Science+Business Media.
  • 2020
    Wajnberg, M., Poulin, J. M., Massé, A. B., Valtchev, P. (2020) The Dictionary Game: Toward a Characterization of Lexical Primitives Using Graph Theory and Relational Concept Analysis.
  • 2020
    Sodoké, K., Nkambou, R., Dufresne, A., Tanoubi, I. (2020) Toward a deep convolutional LSTM for eye gaze spatiotemporal data sequence classification.. Educational Data Mining.
  • 2020
    Belainine, B., Sadat, F., Boukadoum, M., Lounis, H. (2020) Towards a Multi-Dataset for Complex Emotions Learning Based on Deep Neural Networks.
  • 2020
    Frasco, C., Radmacher, M., Lacroix, R., Cue, R., Valtchev, P., Robert, C. et al. (2020) Towards an Effective Decision-making System based on Cow Profitability using Deep Learning.
  • 2020
    Harish, A. B., Sadat, F. (2020) Trimodal Attention Module for Multimodal Sentiment Analysis (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 13803-13804. Association for the Advancement of Artificial Intelligence.
  • 2020
    Nkambou, R., Tato, A., Brisson, J., Robert, S., Sainte-Marie, M. (2020) Une approche hybride à la modélisation de l’apprenant dans un STI pour l’apprentissage du raisonnement logique. Espace ÉTS (ETS), 63-102. Educational Testing Service.
  • 2020
    Tato, A., Nkambou, R., Dufresne, A. (2020) Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development. Proceedings of the AAAI Conference on Artificial Intelligence, 13420-13427. Association for the Advancement of Artificial Intelligence.
  • 2020
    Jeunet, C., N’Kaoua, B., Nkambou, R., Lotte, F. (2020) Why and How to Use Intelligent Tutoring Systems to Adapt MI-BCI Training to Each User.. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2019
    Niyonambaza, S. D., Boisselier, É., Boukadoum, M., Miled, A. (2019) A Compact Visible Light Spectrometer for Molecular Detection with Spherical Gold Nanoparticles.
  • 2019
    Ismaili, Z. E. A., Ajib, W., Gagnon, F., Boukadoum, M. (2019) A Comparison of Frequency Synthesizers Up to 25 GHz for 130 nm CMOS Implementation.
  • 2019
    Tam, S., Boukadoum, M., Campeau‐Lecours, A., Gosselin, B. (2019) A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning. IEEE Transactions on Biomedical Circuits and Systems, 232-243. Institute of Electrical and Electronics Engineers.
  • 2019
    Bouguessa, M. (2019) A Model-Based Approach for Mining Anomalous Nodes in Networks. Lecture notes in social networks, 213-237. Springer Vienna.
  • 2019
    Pillette, L., Jeunet, C., Mansencal, B., Nkambou, R., N’Kaoua, B., Lotte, F. (2019) A physical learning companion for Mental-Imagery BCI User Training. International Journal of Human-Computer Studies, 102380-102380. Elsevier BV.
  • 2019
    Niyonambaza, S. D., Kumar, P., Xing, P., Mathault, J., De Koninck, P., Boisselier, É. et al. (2019) A Review of Neurotransmitters Sensing Methods for Neuro-Engineering Research. Applied Sciences, 4719-4719. Multidisciplinary Digital Publishing Institute.
  • 2019
    Fournier‐Viger, P., Lin, J. C., Truong, T., Nkambou, R. (2019) A Survey of High Utility Itemset Mining. Studies in big data, 1-45. Springer International Publishing.
  • 2019
    Canadian Conference on Artificial Intelligence 2019 Kingston, Ontario, Meurs, M., Rudzicz, F. (2019) Advances in Artificial Intelligence. Lecture notes in computer science. Springer Science+Business Media.
  • 2019
    Gareau, J. C., Beaudry, É., Makarenkov, V. (2019) An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time.
  • 2019
    Belkhir, A., Abdellatif, M., Tighilt, R., Moha, N., Guéhéneuc, Y., Beaudry, É. (2019) An Observational Study on the State of REST API Uses in Android Mobile Applications.
  • 2019
    Sarray, I., Salah, A. (2019) Assisted Composition of Linked Data Queries.
  • 2019
    Dekhili, G., Le, N. T., Sadat, F. (2019) Augmenting Named Entity Recognition with Commonsense Knowledge. Meeting of the Association for Computational Linguistics, 142.
  • 2019
    Bonenfant, M., Meurs, M. (2019) Collaboration Between Social Sciences and Computer Science: Toward a Cross-Disciplinary Methodology for Studying Big Social Data from Online Communities.
  • 2019
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2019) Computer-Aided Diagnosis System of Alzheimer’s Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model. Brain Sciences, 289-289. Multidisciplinary Digital Publishing Institute.
  • 2019
    Wajnberg, M., Valtchev, P., Lezoche, M., Massé, A. B., Panetto, H. (2019) Concept analysis-based association mining from linked data: A case in industrial decision making. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2019
    Anjou, C., Nkambou, R., Mazabraud, Y., Psyché, V., Fennani, W. (2019) Elaboration of a Modeling tool for Context Effect Based Teaching. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2019
    Meftah, S., Semmar, N., Tamaazousti, Y., Essafi, H., Sadat, F. (2019) Exploration de l’apprentissage par transfert pour l’analyse de textes des réseaux sociaux (Exploring neural transfer learning for social media text analysis ).
  • 2019
    Menacer, M. A., González-Gallardo, C. E., Abidi, K., Fohr, D., Jouvet, D., Langlois, D. et al. (2019) Extractive Text-Based Summarization of Arabic Videos: Issues, Approaches and Evaluations. Communications in computer and information science, 65-78. Springer Science+Business Media.
  • 2019
    Atallah, A. A., Hamad, G. B., Mohamed, O. A., Boukadoum, M. (2019) High-Level Availability Analysis of FPGA-Based Time-Sensitive Networks.
  • 2019
    Fournier‐Viger, P., Lin, J. C., Nkambou, R., Vo, B., Tseng, Vincent S. (2019) High-Utility Pattern Mining. Studies in big data. Springer International Publishing.
  • 2019
    Tato, A., Nkambou, R., Dufresne, A. (2019) Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills.. Espace ÉTS (ETS). Educational Testing Service.
  • 2019
    Dekhili, G., Le, N. T., Sadat, F. (2019) Improving Named Entity Recognition with Commonsense Knowledge Pre-training. Lecture notes in computer science, 10-20. Springer Science+Business Media.
  • 2019
    Maupomé, D., Queudot, M., Meurs, M. (2019) Inter and Intra Document Attention for Depression Risk Assessment. Lecture notes in computer science, 333-341. Springer Science+Business Media.
  • 2019
    Meftah, S., Tamaazousti, Y., Semmar, N., Essafi, H., Sadat, F. (2019) Joint learning of pre-trained and random units for domain adaptation in part-of-speech tyagging. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2019
    Le, N. T., Sadat, F., Ménard, L., Đinh, Đ. (2019) Low-Resource Machine Transliteration Using Recurrent Neural Networks. ACM Transactions on Asian and Low-Resource Language Information Processing, 1-14. Association for Computing Machinery.
  • 2019
    Wajnberg, M., Valtchev, P., Lezoche, M., Panetto, H., Massé, A. B. (2019) Mining Process Factor Causality Links with Multi-relational Associations.
  • 2019
    Chouchane, A., Boutemine, O., Bouguessa, M. (2019) On Detecting Multidimensional Communities. Lecture notes in social networks, 45-78. Springer Vienna.
  • 2019
    Nougarou, F., Campeau‐Lecours, A., Massicotte, D., Boukadoum, M., Gosselin, C., Gosselin, B. (2019) Pattern recognition based on HD-sEMG spatial features extraction for an efficient proportional control of a robotic arm. Biomedical Signal Processing and Control, 101550-101550. Elsevier BV.
  • 2019
    Hassan, B., Refaei, A., Fayomi, C., Boukadoum, M. (2019) Perspectives on Non-Invasive Glucose Sensing using Flexible Hybrid-Printed Electronics Systems.
  • 2019
    Lynch, C., Merceron, A., Desmarais, M. C., Nkambou, R. (2019) Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019).. Educational Data Mining.
  • 2019
    Zaiem, S., Sadat, F. (2019) Sequence to Sequence Learning for Query Expansion.
  • 2019
    Rubin, J., Henniche, A. N., Moha, N., Bouguessa, M., Bousbia, N. (2019) Sniffing Android Code Smells: An Association Rules Mining-Based Approach.
  • 2019
    Tato, A., Nkambou, R. (2019) Some Improvements of Deep Knowledge Tracing.
  • 2019
    Tato, A., Nkambou, R., Ghali, R. (2019) Towards Predicting Attention and Workload During Math Problem Solving. Lecture notes in computer science, 224-229. Springer Science+Business Media.
  • 2019
    Ghali, R., Tato, A., Nkambou, R. (2019) Using EEG Features and Machine Learning to Predict Gifted Children.. Espace ÉTS (ETS), 120-123. Educational Testing Service.
  • 2018
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2018) A Network-Based Approach to Enhance Electricity Load Forecasting.
  • 2018
    Bouguessa, M., Chouchane, A. (2018) A Statistical Framework for Handling Network Anomalies.
  • 2018
    Tato, A., Nkambou, R. (2018) Accelerating First-Order Optimization Algorithms.
  • 2018
    Briand, A., Almeida, H., Meurs, M. (2018) Analysis of Social Media Posts for Early Detection of Mental Health Conditions. Lecture notes in computer science, 133-143. Springer Science+Business Media.
  • 2018
    Queudot, M., Meurs, M. (2018) Artificial Intelligence and Predictive Justice: Limitations and Perspectives. Lecture notes in computer science, 889-897. Springer Science+Business Media.
  • 2018
    González-Gallardo, C. E., Pontes, E. L., Sadat, F., Torres‐Moreno, J. (2018) Automated Sentence Boundary Detection in Modern Standard Arabic Transcripts using Deep Neural Networks. Procedia Computer Science, 339-346. Elsevier BV.
  • 2018
    Halioui, A., Valtchev, P., Diallo, A. B. (2018) Bioinformatic Workflow Extraction from Scientific Texts based on Word Sense Disambiguation. IEEE Transactions on Computational Biology and Bioinformatics, 1979-1990. Institute of Electrical and Electronics Engineers.
  • 2018
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2018) Computer-Aided Diagnosis System for Alzheimer’s Disease Using Fuzzy-Possibilistic Tissue Segmentation and SVM Classification.
  • 2018
    Psyché, V., Anjou, C., Fennani, W., Bourdeau, J., Forissier, T., Nkambou, R. et al. (2018) Context Modeling for the design of a context gap calculator. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2018
    Le, N. T., Sadat, F. (2018) Cross-Linguistic Projection for French-Vietnamese Named Entity Translation. Lecture notes in computer science, 407-419. Springer Science+Business Media.
  • 2018
    Lazli, L., Boukadoum, M. (2018) Dealing With Noise and Partial Volume Effects in Alzheimer Disease Brain Tissue Classification by a Fuzzy-Possibilistic Modeling Based on Fuzzy-Genetic Initialization. International Journal of Software Innovation, 119-143. IGI Global.
  • 2018
    Le, N. T., Sadat, F. (2018) Deep Neural Networks for Social Media Word Segmentation of Asian Languages.
  • 2018
    Dumesnil, E., Beaulieu, P. O., Boukadoum, M. (2018) Fully parallel FPGA Implementation of an Artificial Neural Network Tuned by Genetic Algorithm.
  • 2018
    Briand, A., Zacharie, S., Jean‐Louis, L., Meurs, M. (2018) Identification of Sensitive Content in Data Repositories to Support Personal Information Protection. Lecture notes in computer science, 898-910. Springer Science+Business Media.
  • 2018
    Ghali, R., Ben Abdessalem, H., Frasson, C., Nkambou, R. (2018) Identifying Brain Characteristics of Bright Students. Journal of Intelligent Learning Systems and Applications, 93-103. Scientific Research Publishing.
  • 2018
    Lahmiri, S., Boukadoum, M. (2018) Improved Electromyography Signal Modeling for Myopathy Detection.
  • 2018
    Lazli, L., Boukadoum, M. (2018) Improvement of CSF, WM and GM Tissue Segmentation by Hybrid Fuzzy – Possibilistic Clustering Model based on Genetic Optimization Case Study on Brain Tissues of Patients with Alzheimer’s Disease. ˜The œInternational journal of networked and distributed computing, 63-63. Springer Nature.
  • 2018
    Tato, A., Nkambou, R. (2018) Improving Adam Optimizer.
  • 2018
    Le, N. T., Sadat, F. (2018) Improving the neural network-based machine transliteration for low-resourced language pair.. Institutional Repositories DataBase (IRDB), 331-338. National Institute of Informatics.
  • 2018
    Montréal, I. 2., Nkambou, R., Azevedo, R., Vassileva, J. (2018) Intelligent Tutoring Systems. Lecture notes in computer science. Springer Science+Business Media.
  • 2018
    Le, N. T., Sadat, F. (2018) Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages.
  • 2018
    Niyonambaza, S. D., Boisselier, É., Boukadoum, M., Miled, A. (2018) Microfluidic H-filter Cell Modeling for Robust Purification of Gold Nanoparticles.
  • 2018
    Niyonambaza, S. D., Boisselier, É., Boukadoum, M., Miled, A. (2018) Microfluidic Spectrophotometer for Neurotransmitter Detection Based on Gold Nanoparticles: Preliminary Results.
  • 2018
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2018) Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. IEEE Transactions on Knowledge and Data Engineering, 1166-1180. IEEE Computer Society.
  • 2018
    Sharma, R., Le Tan, N., Sadat, F. (2018) Multimodal Sentiment Analysis Using Deep Learning.
  • 2018
    Atoui, W. S., Ajib, W., Boukadoum, M. (2018) Offline and Online Scheduling Algorithms for Energy Harvesting RSUs in VANETs. IEEE Transactions on Vehicular Technology, 6370-6382. Institute of Electrical and Electronics Engineers.
  • 2018
    Glauner, P., State, R., Valtchev, P., Duarte, D. (2018) On the reduction of biases in big data sets for the detection of irregular power usage. Data Science and Knowledge Engineering for Sensing Decision Support, 439-445.
  • 2018
    Psyché, V., Anjou, C., Fenani, W., Bourdeau, J., Forissier, T., Nkambou, R. (2018) Ontology-Based Context Modelling for Designing a Context-Aware Calculator. R-libre (Université Téluq), 13-22. Université TÉLUQ.
  • 2018
    Mili, H., Valtchev, P., Szathmáry, L., Boubaker, A., Leshob, A., Charif, Y. et al. (2018) Ontology‐based model‐driven development of a destination management portal: Experience and lessons learned. Software Practice and Experience, 1438-1460. Wiley.
  • 2018
    Tato, A., Nkambou, R., Frasson, C. (2018) Predicting Emotions From Multimodal Users’ Data.
  • 2018
    Torres‐Espín, A., Beaudry, É., Fenrich, K. K., Fouad, K. (2018) Rehabilitative Training in Animal Models of Spinal Cord Injury. Journal of Neurotrauma, 1970-1985. Mary Ann Liebert, Inc..
  • 2018
    Fonseca, A., Sadat, F., Lareau, F. (2018) Retrieving Information from the French Lexical Network in RDF/OWL Format.
  • 2018
    Ange, T., Nkambou, R., Dufresne, A., Frasson, C. (2018) Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments.
  • 2018
    Lazli, L., Boukadoum, M. (2018) Tissue segmentation by fuzzy clustering technique: case study on Alzheimer’s disease.
  • 2018
    Pillette, L., Jeunet, C., Nkambou, R., N’Kaoua, B., Lotte, F. (2018) Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces. INRIA a CCSD electronic archive server.
  • 2018
    Meftah, S., Semmar, N., Sadat, F., Raaijmakers, S. (2018) Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets. HAL (Le Centre pour la Communication Scientifique Directe), 235-243. Centre National de la Recherche Scientifique.
  • 2018
    Maupomé, D., Meurs, M. (2018) Using Topic Extraction on Social Media Content for the Early Detection of Depression.. CLEF (Working Notes).
  • 2018
    Ngatchui, A., Batchakui, B., Nkambou, R., Lancieri, L. (2018) Utilisation des arbres de décision pour la modélisation du comportement collectif d’apprenantsen situation d’apprentissage au sein d’un EIAH. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2017
    He, Z., Tajeuna, E. G., Wang, S., Bouguessa, M. (2017) A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks.
  • 2017
    Lahmiri, S., Boukadoum, M. (2017) A comparison of four PDE-spatial denoising systems for molecular images.
  • 2017
    Kenmogne, E. B., Nkambou, R., Calvin, T., Nguifo, E. M. (2017) A heuristic to predict the optimal pattern-growth direction for the pattern growth-based sequential pattern mining approach. Journal of Advanced Computer Science & Technology, 20-20.
  • 2017
    Gisiger, T., Boukadoum, M. (2017) A loop-based neural architecture for structured behavior encoding and decoding. Neural Networks, 318-336. Elsevier BV.
  • 2017
    Belise, K. E., Calvin, T., Nkambou, R. (2017) A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan. ICST Transactions on Scalable Information Systems, 152103-152103. European Alliance for Innovation.
  • 2017
    Munroe, P., Milot, J., Beaudry, É., Moha, N., Grondin, F. (2017) A quadtree replication method to optimize web and mobile applications dealing with large sets of objects on a map.
  • 2017
    Lahmiri, S., Boukadoum, M. (2017) An accurate automatic system for distinguishing neuropathy and healthy electromyography signals.
  • 2017
    Mondragon, A. L., Dufresne, A., Nkambou, R., Poirier, P. (2017) An Affective Intelligent Tutoring System In The Special Education Of Individuals With Autism. EDULEARN proceedings, 4114-4122. International Academy of Technology, Education and Development.
  • 2017
    Almeida, H., Jean‐Louis, L., Meurs, M. (2017) An open source and modular search engine for biomedical literature retrieval. Computational Intelligence, 200-218. Wiley.
  • 2017
    Mallek, F., Belainine, B., Sadat, F. (2017) Arabic Social Media Analysis and Translation. Procedia Computer Science, 298-303. Elsevier BV.
  • 2017
    Guellil, I., Azouaou, F., Abbas, M., Sadat, F. (2017) Arabizi transliteration of Algerian Arabic dialect into Modern Standard Arabic. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2017
    Ghazzawi, N., Robichaud, B., Drouin, P., Sadat, F. (2017) Automatic extraction of specialized verbal units. Terminology International Journal of Theoretical and Applied Issues in Specialized Communication, 207-237. John Benjamins Publishing Company.
  • 2017
    Mallek, F., Le, N. T., Sadat, F. (2017) Automatic Machine Translation for Arabic Tweets. Studies in computational intelligence, 101-119. Springer Nature.
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Brain tissue classification of alzheimer disease using partial volume possibilistic modeling: Application to ADNI phantom images.
  • 2017
    Lazli, L., Boukadoum, M. (2017) Brain Tissues Volumes Assessment by Fuzzy Genetic Optimization Based Possibilistic Clustering: Application to Alzheimer Patients Images.
  • 2017
    Sellami, R., Sadat, F., Beluith, L. H. (2017) Building and Exploiting Domain-Specific Comparable Corpora for Statistical Machine Translation. Studies in computational intelligence, 659-676. Springer Nature.
  • 2017
    Fonseca, A., Sadat, F., Lareau, F. (2017) Combining Dependency Parsing and a Lexical Network Based on Lexical Functions for the Identification of Collocations. Lecture notes in computer science, 447-461. Springer Science+Business Media.
  • 2017
    Wajnberg, M., Lezoche, M., Massé, B. A., Valtchev, P., Panetto, H. (2017) Complex System Tacit Knowledge Extraction Through A Formal Method. Insight, 23-26. Wiley.
  • 2017
    Tato, A., Nkambou, R., Dufresne, A., Beauchamp, M. H. (2017) Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level.. Espace ÉTS (ETS). Educational Testing Service.
  • 2017
    Almeida, H., Briand, A., Meurs, M. (2017) Detecting Early Risk of Depression from Social Media User-generated Content.. CLEF (Working Notes).
  • 2017
    Chartrand, L., Cheung, J. C. K., Bouguessa, M. (2017) Detecting Large Concept Extensions for Conceptual Analysis. Lecture notes in computer science, 78-90. Springer Science+Business Media.
  • 2017
    Lazli, L., Boukadoum, M., Laskri, M., Mohamed, O. A. (2017) Diagnosis of Auditory Pathologies with Hidden Markov Models. Lecture notes in computer science, 118-133. Springer Science+Business Media.
  • 2017
    Meira, J. A., Glauner, P., State, R., Valtchev, P., Dolberg, L., Bettinger, F. et al. (2017) Distilling provider-independent data for general detection of non-technical losses.
  • 2017
    Boubekri, A., Ajib, W., Boukadoum, M. (2017) EAM: Energy Aware Mobility over wireless sensor networks.
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A., Laskri, M. (2017) Efficient Feature Vector Clustering for Automatic Speech Recognition Systems.
  • 2017
    Anjou, C., Forissier, T., Bourdeau, J., Mazabraud, Y., Nkambou, R., Fournier, F. (2017) Elaborating the Context Calculator: A Design Experiment in Geothermy. Lecture notes in computer science, 513-526. Springer Science+Business Media.
  • 2017
    Oumaziz, M. A., Belkhir, A., Vacher, T., Beaudry, É., Blanc, X., Falleri, J. et al. (2017) Empirical Study on REST APIs Usage in Android Mobile Applications. Lecture notes in computer science, 614-622. Springer Science+Business Media.
  • 2017
    Camino, R. D., State, R., Montero, L., Valtchev, P. (2017) Finding Suspicious Activities in Financial Transactions and Distributed Ledgers.
  • 2017
    Sarfati, M., Queudot, M., Mancel, C., Meurs, M. (2017) Formulation relaxée de la séparation équilibrée d’un graphe. HAL (Le Centre pour la Communication Scientifique Directe). Centre National de la Recherche Scientifique.
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Fuzzy clustering optimized with genetic algorithms: Application for hybrid speech recognition system.
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) HMM/MLP speech recognition system using a novel data clustering approach.
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Hybrid possibilistic-genetic technique for assessment of brain tissues volume: Case study for Alzheimer patients images clustering.
  • 2017
    Chouchane, A., Bouguessa, M. (2017) Identifying Anomalous Nodes in Multidimensional Networks.
  • 2017
    Glauner, P., Dahringer, N., Puhachov, O., Meira, J. A., Valtchev, P., State, R. et al. (2017) Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations.
  • 2017
    Glauner, P., Migliosi, A., Meira, J. A., Valtchev, P., State, R., Bettinger, F. (2017) Is big data sufficient for a reliable detection of non-technical losses?.
  • 2017
    Sarfati, M., Queudot, M., Mancel, C., Meurs, M. (2017) Knowledge Discovery in Graphs Through Vertex Separation. Lecture notes in computer science, 203-214. Springer Science+Business Media.
  • 2017
    Callies, S., Gravel, M., Beaudry, É., Basque, J. (2017) Logs Analysis of Adapted Pedagogical Scenarios Generated by a Simulation Serious Game Architecture. International Journal of Game-Based Learning, 1-19. IGI Global.
  • 2017
    Ghodsevali, E., Morneau-Gamache, S., Mathault, J., Landari, H., Boisselier, É., Boukadoum, M. et al. (2017) Miniaturized FDDA and CMOS Based Potentiostat for Bio-Applications. Sensors, 810-810. Multidisciplinary Digital Publishing Institute.
  • 2017
    Boutemine, O., Bouguessa, M. (2017) Mining Community Structures in Multidimensional Networks. ACM Transactions on Knowledge Discovery from Data, 1-36. Association for Computing Machinery.
  • 2017
    Mehri, R., Valtchev, P. (2017) Mining Schema Knowledge from Linked Data on the Web. Lecture notes in computer science, 261-273. Springer Science+Business Media.
  • 2017
    Halioui, A., Martin, T., Valtchev, P., Diallo, A. B. (2017) Ontology-based workflow pattern mining.
  • 2017
    Hommes, S., Valtchev, P., Blaiech, K., Hamadi, S., Cherkaoui, O., State, R. (2017) Optimising packet forwarding in multi-tenant networks using rule compilation.
  • 2017
    Tato, A., Nkambou, R., Brisson, J., Robert, S. (2017) Predicting Learner’s Deductive Reasoning Skills Using a Bayesian Network. Lecture notes in computer science, 381-392. Springer Science+Business Media.
  • 2017
    Assoudi, H., Lounis, H. (2017) Reflex-SMAS, a Complex Adaptive System: An Empirical Evaluation. Lecture notes in business information processing, 300-318. Springer Science+Business Media.
  • 2017
    Blaiech, K., Hamadi, S., Hommes, S., Valtchev, P., Cherkaoui, O., State, R. (2017) Rule Compilation in Multi-Tenant Networks.
  • 2017
    Belainine, B., Fonseca, A., Sadat, F., Lounis, H. (2017) Semi-supervised learning and social media text analysis towards multi-labeling categorization.
  • 2017
    Dumesnil, E., Beaulieu, P. O., Boukadoum, M. (2017) Single SNN Architecture for Classical and Operant Conditioning using Reinforcement Learning. International Journal of Cognitive Informatics and Natural Intelligence, 1-24. IGI Global.
  • 2017
    Almeida, H., Queudot, M., Kosseim, L., Meurs, M. (2017) Supervised Methods to Support Online Scientific Data Triage. Lecture notes in business information processing, 213-221. Springer Science+Business Media.
  • 2017
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2017) Survival analysis for modeling critical events that communities may undergo in dynamic social networks.
  • 2017
    Halioui, A., Valtchev, P., Diallo, A. B. (2017) T-GOWler: Discovering Generalized Process Models Within Texts. Journal of Computational Biology, 799-808. Mary Ann Liebert, Inc..
  • 2017
    Glauner, P., Meira, J. A., Valtchev, P., State, R., Bettinger, F. (2017) The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 760-760. Springer Nature.
  • 2017
    Le, N. T., Sadat, F., Ménard, L. (2017) Translittération automatique pour une paire de langues peu dotée ()..
  • 2017
    Brini, O., Boukadoum, M. (2017) Virtualization of the LTE physical layer symbol processing with GPUs.
  • 2016
    Tato, A., Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P. (2016) A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning. Lecture notes in computer science, 627-631. Springer Science+Business Media.
  • 2016
    Kenfack, C., Nkambou, R., Robert, S., Tato, A. A. N., Brisson, J., & Kissok, P (2016) A Brief Overview of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning Skills. Intelligent Tutoring Systems (ITS) 2016. LNCS 9684, (pp. 511–513). (p. 511). Springer International Publishing.
  • 2016
    Ngoupé, É. L., Parisot, C., Stoesel, S., Valtchev, P., Villemaire, R., Cherkaoui, O. et al. (2016) A Declarative Approach to Network Device Configuration Correctness. Journal of Network and Systems Management, 180-209. Springer Science+Business Media.
  • 2016
    Fonseca, A., Lareau, F. S. E. F. (2016) A Lexical Ontology to Represent Lexical Functions. Proceedings of the 2nd Workshop on Language and Ontology (LangOnto2, LREC-2016), pp. 69-73, Portoroz, Slovenia, May 23rd 2016.
  • 2016
    AvakhKisomi, A., Miled, A., Boukadoum, M., Morissette, M., Lellouche, F., Gosselin, B. (2016) A novel wireless ring-shaped multi-site pulse oximeter.
  • 2016
    Ghodsevali, E., Landari, H., Boukadoum, M., Gosselin, B., Miled, A. (2016) A wide range and high sensitivity four-channel compact electrochemical biosensor for neurotransmitter detection on a microfluidic platform.
  • 2016
    Saidi, K., Ajib, W., Boukadoum, M. (2016) Adaptive transmitter load size using receiver harvested energy prediction by Kalman filter.
  • 2016
    Almeida, H., Queudot, M., Meurs, M. (2016) Automatic Triage of Mental Health Online Forum Posts: CLPsych 2016 System Description.
  • 2016
    Amirsoleimani, A., Ahmadi, M., Ahmadi, A., Boukadoum, M. (2016) Brain-inspired pattern classification with memristive neural network using the Hodgkin-Huxley neuron.
  • 2016
    Lahmiri, S., Boukadoum, M. (2016) Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation.
  • 2016
    Hamadi, S., Blaiech, K., Valtchev, P., Cherkaoui, O., State, R. (2016) Compiling packet forwarding rules for switch pipelined architecture.
  • 2016
    Mili, H., Benzarti, I., Meurs, M., Obaid, A., González‐Huerta, J., Haj‐Salem, N. et al. (2016) Context Aware Customer Experience Management: A Development Framework Based on Ontologies and Computational Intelligence. Studies in computational intelligence, 273-311. Springer Nature.
  • 2016
    Almeida, H., Meurs, M., Kosseim, L., Tsang, A. (2016) Data Sampling and Supervised Learning for HIV Literature Screening. IEEE Transactions on NanoBioscience, 354-361. Institute of Electrical and Electronics Engineers.
  • 2016
    Belainine, B., Fonseca, A., Sadat, F. (2016) Efficient natural language pre-processing for analyzing large data sets. Proc. of Big Data and Natural Language Processing workshop, IEEE Big Data 2016. Washington D.C., USA, Dec. 5-8, 2016, 3864-3871.
  • 2016
    Mondragon, A. L., Nkambou, R., Poirier, P. (2016) Evaluating the Effectiveness of an Affective Tutoring Agent in Specialized Education. Lecture notes in computer science, 446-452. Springer Science+Business Media.
  • 2016
    Dumesnil, E., Beaulieu, P. O., Boukadoum, M. (2016) FPGA minimal components SKAN model for classical and operant conditioning.
  • 2016
    Dougnon, R. Y., Fournier‐Viger, P., Lin, J. C., Nkambou, R. (2016) Inferring social network user profiles using a partial social graph. Journal of Intelligent Information Systems, 313-344. Springer Science+Business Media.
  • 2016
    Fonseca, A., Sadat, F., Lareau, F. (2016) Lexfom: a lexical functions ontology model. International Conference on Computational Linguistics, 145-155.
  • 2016
    Amja, A. M., Obaid, A., Mili, H., Valtchev, P. (2016) Linking relational concept analysis and variability model within context modeling of context-aware applications.
  • 2016
    Milot, J., Munroe, P., Beaudry, É., Grondin, F., Bourdeau, G. (2016) Lookupia.
  • 2016
    Ghodsevali, E., Boukadoum, M., Gosselin, B., Miled, A. (2016) Low-power and low-noise fully differential difference amplifier for sub-nanoampere on-chip potentiostat.
  • 2016
    Almeida, H., Jean‐Louis, L., Meurs, M. (2016) Mining Biomedical Literature: An Open Source and Modular Approach. Lecture notes in computer science, 168-179. Springer Science+Business Media.
  • 2016
    Belainine, B., Fonseca, A., Sadat, F. (2016) Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets. International Conference on Computational Linguistics, 102-111.
  • 2016
    Nkambou, R., Tato, A. A. N., Brisson, J., Kenfack, C., Robert, S., & Kissok, P (2016) On the Evaluation of the Expert and the Learner Models of Logic-Muse Tutoring System. Intelligent Tutoring Systems (ITS) 2016 LNCS 9684, (pp. 506–508) (p. 506). Springer International Publishing.
  • 2016
    Charton, É., Ghoula, N., Meurs, M. (2016) Open Data for Local Search.
  • 2016
    Brini, O., Boukadoum, M. (2016) Real-time CPU-GPU demodulator for the LTE physical layer.
  • 2016
    Dumesnil, E., Beaulieu, P. O., Boukadoum, M. (2016) Robotic implementation of classical and Operant Conditioning as a single STDP learning process.
  • 2016
    Dumesnil, E., Beaulieu, P. O., Boukadoum, M. (2016) Robotic implementation of classical and operant conditioning within a single SNN architecture.
  • 2016
    Atoui, W. S., Salahuddin, M. A., Ajib, W., Boukadoum, M. (2016) Scheduling Energy Harvesting Roadside Units in Vehicular Ad Hoc Networks.
  • 2016
    Meurs, M., Almeida, H., Jean‐Louis, L., Charton, É. (2016) SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking.
  • 2016
    Luccioni, A. S., Nkambou, R., Massardi, J., Bourdeau, J., Coulombe, C. (2016) STI-DICO.
  • 2016
    Luccioni, A. S., Bourdeau, J., Massardi, J., Nkambou, R. (2016) STI-DICO: A Web-Based ITS for Fostering Dictionary Skills and Knowledge. Lecture notes in computer science, 416-421. Springer Science+Business Media.
  • 2016
    Héon, M., Nkambou, R., Langheit, C. (2016) Toward G-OWL.
  • 2016
    Kisomi, A. A., Landari, H., Boukadoum, M., Miled, A., Gosselin, B. (2016) Towards a multi-wavelength spectroscopy platform for blood characterization and analysis.
  • 2016
    Mondragon, A. L., Nkambou, R., Poirier, P. (2016) Towards an Effective Affective Tutoring Agent in Specialized Education. Lecture notes in computer science, 402-408. Springer Science+Business Media.
  • 2016
    AskariHemmat, M., Mohamed, O. A., Boukadoum, M. (2016) Towards code generation for ARM Cortex-M MCUs from SysML activity diagrams.
  • 2016
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2016) Tracking Communities over Time in Dynamic Social Network. Lecture notes in computer science, 341-345. Springer Science+Business Media.
  • 2016
    Le, N. T., Mallek, F., Sadat, F. (2016) UQAM-NTL: Named entity recognition in Twitter messages.. International Conference on Computational Linguistics, 197-202.
  • 2016
    Khosravifar, B., Bouguessa, M. (2016) Using Support Vector Machines for Intelligent Service Agents Decision Making. Lecture notes in computer science, 73-87. Springer Science+Business Media.
  • 2016
    Belainine, B., Alexsandro, F., Sadat, F. (2016) 大データセットを解析するための効率的な自然言語前処理【Powered by NICT】. IEEE Conference Proceedings, 3871.
  • 2015
    Ngoupé, É. L., Stoesel, S., Parisot, C., Hallé, S., Valtchev, P., Cherkaoui, O. et al. (2015) A data model for management of network device configuration heterogeneity.
  • 2015
    Fathaliani, F., Bouguessa, M. (2015) A model-based approach for identifying spammers in social networks.
  • 2015
    Bouguessa, M. (2015) A practical outlier detection approach for mixed-attribute data. Expert Systems with Applications, 8637-8649. Elsevier BV.
  • 2015
    Landry, J. F., Dussault, J., Beaudry, É. (2015) A Straight Approach to Planning for 14.1 Billiards. IEEE Transactions on Computational Intelligence and AI in Games, 203-208. Institute of Electrical and Electronics Engineers.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) A weighted bio-signal denoising approach using empirical mode decomposition. Biomedical Engineering Letters, 131-139. Springer Science+Business Media.
  • 2015
    Dougnon, R. Y., Fournier‐Viger, P., Lin, J. C., Nkambou, R. (2015) Accurate Online Social Network User Profiling. Lecture notes in computer science, 264-270. Springer Science+Business Media.
  • 2015
    Halioui, A., Valtchev, P., Diallo, A. B. (2015) Acquisition of Generic Problem Solving Knowledge through Information Extraction and Pattern Mining.
  • 2015
    Callies, S., Sola, N. P., Beaudry, É., Basque, J. (2015) An empirical evaluation of a serious simulation game architecture for automatic adaptation. R-libre (Université Téluq). Université TÉLUQ.
  • 2015
    Le, N. T., Sadat, F. (2015) Building a Bilingual Vietnamese-French Named Entity Annotated Corpus through Cross-Linguistic Projection..
  • 2015
    Aoun, M. A., Boukadoum, M. (2015) Chaotic Liquid State Machine. International Journal of Cognitive Informatics and Natural Intelligence, 1-20. IGI Global.
  • 2015
    Assoudi, H., Lounis, H. (2015) Coping with Uncertainty in Schema Matching: Bayesian Networks and Agent-Based Modeling Approach. Lecture notes in business information processing, 53-67. Springer Science+Business Media.
  • 2015
    Ghodsevali, E., Gosselin, B., Boukadoum, M., Miled, A. (2015) High accuracy and sensitivity differential potentiostat with amplifier-based error cancellation feedback loop.
  • 2015
    Mohamed, E., & Sadat, F (2015) Hybrid Arabic–French machine translation using syntactic re-ordering and morphological pre-processing. Computer Speech & Language, 32(1), 135-144.
  • 2015
    Bouguessa, M., Romdhane, L. (2015) Identifying Authorities in Online Communities. ACM Transactions on Intelligent Systems and Technology, 1-23. Association for Computing Machinery.
  • 2015
    Sellami, R., Deffaf, F., Sadat, F., Belguith, L. H. (2015) Improved Statistical Machine Translation by Cross-Linguistic Projection of Named Entities Recognition and Translation. Computación y Sistemas. National Polytechnic Institute.
  • 2015
    Landry, J. F., Dussault, J., Beaudry, É. (2015) Improvements to the Linear Optimization Models of Patrol Scheduling for Mobile Targets. Lecture notes in computer science, 30-41. Springer Science+Business Media.
  • 2015
    SELLAMI, R., & SADAT, F (2015) IMPROVING NAMED ENTITY TRANSLATION BY EXPLOITING NOISY PARALLEL CORPORA. Papers in Translation Studies, 179.
  • 2015
    Dougnon, R. Y., Fournier‐Viger, P., Nkambou, R. (2015) Inferring User Profiles in Online Social Networks Using a Partial Social Graph. Lecture notes in computer science, 84-99. Springer Science+Business Media.
  • 2015
    Nkambou, R., Mondragon, A. L. (2015) Integrated specialized learning application (ISLA) to teaching addition to high functioning children with autism spectrum disorder (ASD). EdMedia: World Conference on Educational Media and Technology, 1699-1709.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) Intelligent Ensemble Forecasting System of Stock Market Fluctuations Based on Symetric and Asymetric Wavelet Functions. Fluctuation and Noise Letters, 1550033-1550033. World Scientific.
  • 2015
    Fall, C. L., Turgeon, P., Campeau‐Lecours, A., Maheu, V., Boukadoum, M., Roy, S. et al. (2015) Intuitive wireless control of a robotic arm for people living with an upper body disability.
  • 2015
    Valtchev, P., Mounaouar, O., Cherkaoui, O., Dimitrov, A. (2015) Mining Conceptual Knowledge from Network Traffic Data for Traffic Measurement Optimization. Lecture notes in computer science, 157-169. Springer Science+Business Media.
  • 2015
    Fournier‐Viger, P., Wu, C., Tseng, V. S., Cao, L., Nkambou, R. (2015) Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. IEEE Transactions on Knowledge and Data Engineering, 2203-2216. IEEE Computer Society.
  • 2015
    Yakoub, M. S., Selouani, S., Nkambou, R. (2015) Mobile spoken dialogue system using parser dependencies and ontology. International Journal of Speech Technology, 449-457. Springer Science+Business Media.
  • 2015
    Dougnon, R. Y., Fournier‐Viger, P., Lin, J. C., Nkambou, R. (2015) More Accurate Inference of User Profiles in Online Social Networks. Lecture notes in computer science, 533-546. Springer Science+Business Media.
  • 2015
    Sadat, F. (2015) Multi-Dialect Machine Translation (MuDMat).
  • 2015
    Strasser, K., McDonnell, E., Nyaga, C., Wu, M., Wu, S. Y., Almeida, H. et al. (2015) mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. Database. University of Oxford.
  • 2015
    Fennouh, S., Nkambou, R., Valtchev, P., Rouane-Hacene, M. (2015) On the Assessment of Concept Relevance in FCA-Based Ontology Restructuring. Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on (pp. 566-574), 566-574.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding.
  • 2015
    Guo, L., Li, Q., Valtchev, P., Lin, Y. (2015) Representation of algebraic domains by formal association rule systems. Mathematical Structures in Computer Science, 470-490. Cambridge University Press.
  • 2015
    Dumesnil, E., Nabki, F., Boukadoum, M. (2015) RF-LNA circuit synthesis using an array of artificial neural networks with constrained inputs.
  • 2015
    Assoudi, H., Lounis, H. (2015) Schema Matching as complex adaptive system.
  • 2015
    Almeida, H., Meurs, M., Kosseim, L., Tsang, A. (2015) Supporting HIV literature screening with data sampling and supervised learning.
  • 2015
    Nkambou, R., Kenfack, C., Robert, S., Brisson, J. (2015) The Design Rationale of Logic-Muse, an ITS for Logical Reasoning in Multiple Contexts. Lecture notes in computer science, 738-742. Springer Science+Business Media.
  • 2015
    Nkambou, R., Kenfack, C. (2015) The Participatory Design of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts. Espace ÉTS (ETS), 1710-1719. Educational Testing Service.
  • 2015
    Blaiech, K., Hamadi, S., Valtchev, P., Cherkaoui, O., Béliveau, A. (2015) Toward a semantic-based packet forwarding model for Openflow.
  • 2015
    Mondragon, A. L., Nkambou, R., Poirier, P. (2015) Towards an Integrated Specialized Learning Application (ISLA) to Support High Functioning ASD Children in Mathematics Learning. Lecture notes in computer science, 225-239. Springer Science+Business Media.
  • 2015
    Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P., Tato, A. (2015) Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts. Lecture notes in computer science, 460-466. Springer Science+Business Media.
  • 2015
    Nayrolles, M., Beaudry, É., Moha, N., Valtchev, P., Hamou‐Lhadj, A. (2015) Towards Quality-Driven SOA Systems Refactoring Through Planning. Lecture notes in business information processing, 269-284. Springer Science+Business Media.
  • 2015
    Tajeuna, E. G., Bouguessa, M., Wang, S. (2015) Tracking the evolution of community structures in time-evolving social networks.
  • 2015
    Bourdeau, J., Forissier, T., Mazabraud, Y., Nkambou, R. (2015) Web-Based Context-Aware Science Learning.
  • 2014
    Fonseca, A., & Sadat, F (2014) A Comparative Study of Different Classification Methods for the Identification of Brazilian Portuguese Multiword Expressions. ComAComA 2014, 53.
  • 2014
    Sadat, F., Kazemi, F., & Farzindar, A (2014) Automatic identification of Arabic dialects in social media. Proceedings of the first international workshop on Social media retrieval and analysis (pp. 35-40). ACM.
  • 2014
    Sadat, F., Mallek, F., Sellami, R., Boudabous, M. M., & Farzindar, A (2014) Collaboratively constructed linguistic resources for language vari-ants and their exploitation in nlp applications–the case of tunisian arabic and the social media. Workshop on lexical and grammatical resources for language processing (p. 102).
  • 2014
    Fonseca, A., Sadat, F., & Massé, A. B (2014) Identifying Portuguese Multiword Expressions using Different Classification Algorithms-A Comparative Analysis. COLING 2014, 104.
  • 2014
    Sellami, R., Sadat, F., & Belguith, L. H (2014) Mining Named Entity Translation from Non Parallel Corpora. FLAIRS Conference (pp. 219-224).
  • 2014
    FENNOUH, S., NKAMBOU, R., VALTCHEV, P., & ROUANE-HACENE, MOHAMED (2014) STABILITY-BASED FILTERING FOR ONTOLOGY RESTRUCTURING. Studia Universitatis Babes-Bolyai, Informatica, 59.
  • 2010
    Rouane-Hacene, M., Fennouh, S., Nkambou, R., & Valtchev, P (2010) Refactoring of ontologies: Improving the design of ontological models with concept analysis. Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on (Vol. 2, pp. 167-172). IEEE.