Ange Tato

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Expert Knowledge

Logical Reasoning

Top Venues

Publications

Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling. AAAI (2023)
Ange Tato, Roger Nkambou, Gabrielle Joyce Nana Tato
Automatic Learning of Piloting Behavior from Flight Data. ITS (2023)
Marc-Antoine Courtemanche, Ange Tato, Roger Nkambou
Automatic Execution of the Ontological Piloting Procedures. ITS (2023)
Ange Tato, Roger Nkambou
Towards a multi-modal Deep Learning Architecture for User Modeling. FLAIRS (2023)
Ange Tato, Roger Nkambou
Towards Extracting Adaptation Rules from Neural Networks. AIED (Posters/Late Breaking Results/...) (2023)
Agathe Merceron, Ange Tato
Introduction to Neural Networks and Uses in EDM. EDM (2023)
Ange Tato, Roger Nkambou
Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments. Frontiers Artif. Intell. 5 (2022)
Ange Tato, Roger Nkambou
Deep Knowledge Tracing on Skills with Small Datasets. ITS (2022)
Ange Tato, Roger Nkambou, Gabrielle Joyce Nana Tato
Towards Adaptive Coaching in Piloting Tasks: Learning Pilots' Behavioral Profiles from Flight Data. ITS (2022)
Marc-Antoine Courtemanche, Ange Tato, Roger Nkambou
Ontological Reference Model for Piloting Procedures. ITS (2022)
Roger Nkambou, Janie Brisson, Serge Robert, Ange Tato
Learning Logical Reasoning : Improving the Student Model with a Data Driven Approach. ITS (2021)
Ange Tato, Roger Nkambou, Aude Dufresne
Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development. AAAI (2020)
Ange Tato, Roger Nkambou
Improving First-Order Optimization Algorithms (Student Abstract). AAAI (2020)
Ange Tato, Roger Nkambou
Some Improvements of Deep Knowledge Tracing. ICTAI (2019)
Ramla Ghali, Ange Tato, Roger Nkambou
Using EEG Features and Machine Learning to Predict Gifted Children. FLAIRS Conference (2019)
Ange Tato, Roger Nkambou, Ramla Ghali
Towards Predicting Attention and Workload During Math Problem Solving. ITS (2019)
Ange Tato, Roger Nkambou, Aude Dufresne, Claude Frasson
Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments. IJCNN (2018)
Ange Tato, Roger Nkambou, Claude Frasson
Predicting Emotions From Multimodal Users' Data. UMAP (2018)
Ange Tato, Roger Nkambou, Janie Brisson, Serge Robert
Predicting Learner's Deductive Reasoning Skills Using a Bayesian Network. AIED (2017)
Ange Tato, Roger Nkambou, Janie Brisson, Clauvice Kenfack, Serge Robert, Pamela Kissok
A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning. EC-TEL (2016)
Roger Nkambou, Janie Brisson, Clauvice Kenfack, Serge Robert, Pamela Kissok, Ange Tato
Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts. EC-TEL (2015)