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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.