Ange Tato

24 papers A* 3A 2B 12Misc 2Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Can LLMs Generate Accurate Bayesian Networks to Enhance Knowledge Tracing ?
AIED (3)
Ange Tato, Roger Nkambou
2025 — conf
Leveraging LLMs for Bayesian and Deep Knowledge Tracing in the Logic-Muse Intelligent Tutoring System.
ITS (1)
Ange Tato, Roger Nkambou
2025 — conf
Towards Predicting Complex Carpooling Trajectories with Context-Augmented BERT-LLM in Chaotic Environments.
IEA/AIE (1)
Daril Kengne, Roger Nkambou, Ange Tato, Clara Lacourarie
2023 B conf
Automatic Execution of the Ontological Piloting Procedures.
ITS
Marc-Antoine Courtemanche, Ange Tato, Roger Nkambou
2023 B conf
Automatic Learning of Piloting Behavior from Flight Data.
ITS
Ange Tato, Roger Nkambou, Gabrielle Joyce Nana Tato
2023 B conf
Introduction to Neural Networks and Uses in EDM.
EDM
Agathe Merceron, Ange Tato
2023 A* conf
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling.
AAAI
Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert
2023 — conf
Towards Extracting Adaptation Rules from Neural Networks.
AIED (Posters/Late Breaking Results/...)
Ange Tato, Roger Nkambou
2023 Misc conf
Towards a multi-modal Deep Learning Architecture for User Modeling.
FLAIRS
Ange Tato, Roger Nkambou
2022 B conf
Deep Knowledge Tracing on Skills with Small Datasets.
ITS
Ange Tato, Roger Nkambou
2022 J jnl
Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments.
Frontiers Artif. Intell.
Ange Tato, Roger Nkambou
2022 B conf
Ontological Reference Model for Piloting Procedures.
ITS
Marc-Antoine Courtemanche, Ange Tato, Roger Nkambou
2022 B conf
Towards Adaptive Coaching in Piloting Tasks: Learning Pilots' Behavioral Profiles from Flight Data.
ITS
Ange Tato, Roger Nkambou, Gabrielle Joyce Nana Tato
2021 B conf
Learning Logical Reasoning : Improving the Student Model with a Data Driven Approach.
ITS
Roger Nkambou, Janie Brisson, Serge Robert, Ange Tato
2020 A* conf
Improving First-Order Optimization Algorithms (Student Abstract).
AAAI
Ange Tato, Roger Nkambou
2020 A* conf
Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development.
AAAI
Ange Tato, Roger Nkambou, Aude Dufresne
2019 B conf
Some Improvements of Deep Knowledge Tracing.
ICTAI
Ange Tato, Roger Nkambou
2019 B conf
Towards Predicting Attention and Workload During Math Problem Solving.
ITS
Ange Tato, Roger Nkambou, Ramla Ghali
2019 Misc conf
Using EEG Features and Machine Learning to Predict Gifted Children.
FLAIRS
Ramla Ghali, Ange Tato, Roger Nkambou
2018 A conf
Predicting Emotions From Multimodal Users' Data.
UMAP
Ange Tato, Roger Nkambou, Claude Frasson
2018 B conf
Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments.
IJCNN
Ange Tato, Roger Nkambou, Aude Dufresne, Claude Frasson
2017 A conf
Predicting Learner's Deductive Reasoning Skills Using a Bayesian Network.
AIED
Ange Tato, Roger Nkambou, Janie Brisson, Serge Robert
2016 B conf
A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning.
EC-TEL
Ange Tato, Roger Nkambou, Janie Brisson, Clauvice Kenfack, Serge Robert, Pamela Kissok
2015 B conf
Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts.
EC-TEL
Roger Nkambou, Janie Brisson, Clauvice Kenfack, Serge Robert, Pamela Kissok, Ange Tato