Ange Tato

According to our database, Ange Tato authored at least 25 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Integrating an Ontological Reference Model of Piloting Procedures in ACT-R Cognitive Architecture to Simulate Piloting Tasks.

Guy Carlos Tamkodjou Tchio, Marc-Antoine Courtemanche, Ange Adrienne Nyamen Tato, Roger Nkambou, Valéry Psyché

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Automatic Learning of Piloting Behavior from Flight Data.

Ange Tato, Roger Nkambou, Gabrielle Joyce Nana Tato

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Automatic Execution of the Ontological Piloting Procedures.

Marc-Antoine Courtemanche, Ange Tato, Roger Nkambou

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Towards a multi-modal Deep Learning Architecture for User Modeling.

Ange Tato, Roger Nkambou

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Introduction to Neural Networks and Uses in EDM.

Agathe Merceron, Ange Tato

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Towards Extracting Adaptation Rules from Neural Networks.

Ange Tato, Roger Nkambou

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling.

Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments.

Ange Tato, Roger Nkambou

Frontiers Artif. Intell., 2022

Towards Adaptive Coaching in Piloting Tasks: Learning Pilots' Behavioral Profiles from Flight Data.

Ange Tato, Roger Nkambou, Gabrielle Joyce Nana Tato

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Deep Knowledge Tracing on Skills with Small Datasets.

Ange Tato, Roger Nkambou

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Ontological Reference Model for Piloting Procedures.

Marc-Antoine Courtemanche, Ange Tato, Roger Nkambou

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

2021

Learning Logical Reasoning : Improving the Student Model with a Data Driven Approach.

Roger Nkambou, Janie Brisson, Serge Robert, Ange Tato

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

2020

Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development.

Ange Tato, Roger Nkambou, Aude Dufresne

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving First-Order Optimization Algorithms (Student Abstract).

Ange Tato, Roger Nkambou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards Predicting Attention and Workload During Math Problem Solving.

Ange Tato, Roger Nkambou, Ramla Ghali

Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Predicting Subjective Enjoyment of Aspects of a Videogame from Psychophysiological Measures of Arousal and Valence.

Julien Mercier, Pierre Chalfoun, Matthew Martin, Ange Adrienne Nyamen Tato, Daniel Rivas

Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Some Improvements of Deep Knowledge Tracing.

Ange Tato, Roger Nkambou

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Using EEG Features and Machine Learning to Predict Gifted Children.

Ramla Ghali, Ange Tato, Roger Nkambou

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills.

Ange Adrienne Nyamen Tato, Roger Nkambou, Aude Dufresne

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Predicting Emotions From Multimodal Users' Data.

Ange Tato, Roger Nkambou, Claude Frasson

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments.

Ange Tato, Roger Nkambou, Aude Dufresne, Claude Frasson

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level.

Ange Adrienne Nyamen Tato, Roger Nkambou, Aude Dufresne

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Predicting Learner's Deductive Reasoning Skills Using a Bayesian Network.

Ange Tato, Roger Nkambou, Janie Brisson, Serge Robert

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning.

Ange Tato, Roger Nkambou, Janie Brisson, Clauvice Kenfack, Serge Robert, Pamela Kissok

Proceedings of the Adaptive and Adaptable Learning, 2016

2015

Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts.

Roger Nkambou, Janie Brisson, Clauvice Kenfack, Serge Robert, Pamela Kissok, Ange Tato

Proceedings of the Design for Teaching and Learning in a Networked World, 2015