Ange Tato

Orcid: 0000-0002-9744-055X

Affiliations:
  • University of Quebec at Montreal, Canada


According to our database1, Ange Tato authored at least 27 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Handling of Abnormal Aircraft Takeoff Procedures: Cognitive Modeling of an ACT-R Synthetic Pilot Integrating an Ontological Reference Model.
Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 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.
Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

2023
Integrating an Ontological Reference Model of Piloting Procedures in ACT-R Cognitive Architecture to Simulate Piloting Tasks.
Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Automatic Learning of Piloting Behavior from Flight Data.
Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Automatic Execution of the Ontological Piloting Procedures.
Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Towards a multi-modal Deep Learning Architecture for User Modeling.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Introduction to Neural Networks and Uses in EDM.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Towards Extracting Adaptation Rules from Neural Networks.
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.
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.
Frontiers Artif. Intell., 2022

Towards Adaptive Coaching in Piloting Tasks: Learning Pilots' Behavioral Profiles from Flight Data.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Deep Knowledge Tracing on Skills with Small Datasets.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Ontological Reference Model for Piloting Procedures.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

2021
Learning Logical Reasoning : Improving the Student Model with a Data Driven Approach.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

2020
Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving First-Order Optimization Algorithms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards Predicting Attention and Workload During Math Problem Solving.
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.
Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Some Improvements of Deep Knowledge Tracing.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Using EEG Features and Machine Learning to Predict Gifted Children.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Predicting Emotions From Multimodal Users' Data.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Predicting Learner's Deductive Reasoning Skills Using a Bayesian Network.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning.
Proceedings of the Adaptive and Adaptable Learning, 2016

2015
Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts.
Proceedings of the Design for Teaching and Learning in a Networked World, 2015


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