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Liste des publications de "Nyamen Tato, Ange Adrienne"Nombre de documents archivés : 30. 2023
Courtemanche, Marc-Antoine, Tato, Ange et Nkambou, Roger.
2023.
« Automatic execution of the ontological piloting procedures ».
In Augmented Intelligence and Intelligent Tutoring Systems : 19th International Conference, ITS 2023 : Proceedings (Corfu, Greece, June 02-05, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13891.
pp. 29-41.
Corfu, Greece : Springer Science and Business Media.
Nkambou, Roger, Brisson, Janie, Tato, Ange et Robert, Serge.
2023.
« Learning logical reasoning using an intelligent tutoring system: A hybrid approach to student modeling ».
[Article de conférence]. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, nº 13.
pp. 15930-15937.
Tato, Ange et Nkambou, Roger.
2023.
« Towards a multi-modal deep learning architecture for user modeling ».
In International Florida Artificial Intelligence Research Society Conference, FLAIRS (Clearwater Beach, FL, USA, May 14-17, 2023)
Coll. « Proceedings of FLAIRS », vol. 36.
LibraryPress@UF.
Tato, Ange et Nkambou, Roger.
2023.
« Towards extracting adaptation rules from neural networks ».
In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky : 24th International Conference, AIED : Proceedings (Tokyo, Japan, July 03-07, 2023)
Coll. « Communications in Computer and Information Science », vol. 1831.
pp. 543-548.
Springer.
Tato, Ange, Nkambou, Roger et Tato, Gabrielle.
2023.
« Automatic learning of piloting behavior from flight data ».
In Augmented Intelligence and Intelligent Tutoring Systems: 19th International Conference, ITS : Proceedings (Corfu Island, Greece, June 02-05, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13891.
pp. 541-552.
Springer.
Tchio, Guy Carlos Tamkodjou, Courtemanche, Marc-Antoine, Tato, Ange Adrienne Nyamen, Nkambou, Roger et Psyché, Valéry.
2023.
« Integrating an ontological reference model of piloting procedures in ACT-R cognitive architecture to simulate piloting tasks ».
In Augmented Intelligence and Intelligent Tutoring Systems: 19th International Conference, ITS : Proceedings (Corfu Island, Greece, June 02-05, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13891.
pp. 183-194.
Springer. 2022
Courtemanche, Marc-Antoine, Tato, Ange et Nkambou, Roger.
2022.
« Ontological reference model for piloting procedures ».
In Intelligent Tutoring Systems: 18th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13284.
pp. 95-104.
Springer.
Tato, Ange et Nkambou, Roger.
2022.
« Deep knowledge tracing on skills with small datasets ».
In Intelligent Tutoring Systems: 18th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13284.
pp. 123-135.
Springer.
Tato, Ange et Nkambou, Roger.
2022.
« Infusing expert knowledge into a deep neural network using attention mechanism for personalized learning environments ».
Frontiers in Artificial Intelligence, vol. 5.
Tato, Ange, Nkambou, Roger et Nana Tato, Gabrielle Joyce.
2022.
« Towards adaptive coaching in piloting tasks: Learning pilots’ behavioral profiles from flight data ».
In Intelligent Tutoring Systems: 18th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13284.
pp. 105-114.
Springer. 2021
Nkambou, Roger, Brisson, Janie, Robert, Serge et Tato, Ange.
2021.
« Learning logical reasoning : Improving the student model with a data driven approach ».
In Intelligent Tutoring Systems: 17th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022)
Coll. « Lecture Notes in Computer Science », vol. 12677.
pp. 60-67.
Springer.
Zarglayoun, H., Laurendeau-Martin, J., Tato, A., Vera-Estay, E., Blondin, A., Lamy-Brunelle, A., Chaieb, S., Morasse, F., Dufresne, A., Nkambou, R. et Beauchamp, M. H..
2021.
« Assessing and optimizing socio-moral reasoning skills: Findings from the MorALERT serious video game ».
Frontiers in Psychology, vol. 12.
2020
Nkambou, Roger, Tato, Ange, Brisson, Janie, Robert, Serge et Sainte-Marie, Maxime.
2020.
« Une approche hybride à la modélisation de l’apprenant dans un STI pour l’apprentissage du raisonnement logique ».
[Article de conférence]. Sticef, vol. 27, nº 2.
pp. 63-102.
Tato, Ange et Nkambou, Roger.
2020.
« Improving first-order optimization algorithms (student abstract) ».
[Résumé d'une communication à une conférence]. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, nº 10.
pp. 13935-13936.
Tato, Ange, Nkambou, Roger et Dufresne, Aude.
2020.
« Using AI techniques in a serious game for socio-moral reasoning development ».
[Article de conférence]. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, nº 9.
pp. 13477-13484. 2019
Ghali, Ramla, Tato, Ange et Nkambou, Roger.
2019.
« Using EEG features and machine learning to predict gifted children ».
In 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS (Sarasota, FL, USA, May 19-22, 2019)
pp. 120-123.
AAAI Press.
Mercier, Julien, Chalfoun, Pierre, Martin, Matthew, Tato, Ange Adrienne et Rivas, Daniel.
2019.
« Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence ».
In Intelligent Tutoring Systems : 15th International Conference, ITS : Proceedings (Kingston, Jamaica, June 03-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11528.
pp. 174-179.
Springer.
Tato, Ange et Nkambou, Roger.
2019.
« Some improvements of deep knowledge tracing ».
In IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Portland, OR, USA, Nov. 04-06, 2019)
pp. 1520-1524.
IEEE Computer Society.
Tato, Ange, Nkambou, Roger et Dufresne, Aude.
2019.
« Hybrid deep neural networks to predict socio-moral reasoning skills ».
In Proceedings of the 12th International Conference on Educational Data Mining (EDM) (Montreal, QC, Canada, July 02-05, 2019)
pp. 623-626.
International Educational Data Mining Society.
Tato, Ange, Nkambou, Roger et Ghali, Ramla.
2019.
« Towards predicting attention and workload during math problem solving ».
In Intelligent Tutoring Systems : 15th International Conference, ITS : Proceedings (Kingston, Jamaica, June 03-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11528.
pp. 224-229.
Springer. 2018
Tato, Ange, Dufresne, Aude, Nkambou, Roger, Morasse, Frédérick et Beauchamp, Miriam H..
2018.
« Preliminary evaluation of a serious game for socio-moral reasoning ».
In 14th International Conference on Intelligent Tutoring Systems, ITS Proceedings (Montreal, QC, Canada, June 11-15, 2018)
Coll. « Lecture Notes in Computer Science », vol. 10858.
pp. 473-475.
Springer.
Tato, Ange, Nkambou, Roger, Dufresne, Aude et Frasson, Claude.
2018.
« Semi-supervised multimodal deep learning model for polarity detection in arguments ».
In International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018)
Institute of Electrical and Electronics Engineers Inc..
Tato, Ange, Nkambou, Roger et Frasson, Claude.
2018.
« Predicting emotions from multimodal users' data ».
In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP) (Singapore, Singapore, July 08-11, 2018)
pp. 369-370.
Association for Computing Machinery, Inc. 2017
Tato, Ange, Nkambou, Roger, Brisson, Janie et Robert, Serge.
2017.
« Predicting learner’s deductive reasoning skills using a bayesian network ».
In Artificial Intelligence in Education : 18th International Conference, AIED : Proceedings (Wuhan, China, June 28-July 01, 2017)
Coll. « Lecture Notes in Computer Science », vol. 10331.
pp. 381-392.
Springer.
Tato, Ange, Nkambou, Roger, Dufresne, Aude et Beauchamp, Miriam H..
2017.
« Convolutional neural network for automatic detection of sociomoral reasoning level ».
In Proceedings of the 10th International Conference on Educational Data Mining (EDM) (Wuhan, China, June 25-28, 2017)
pp. 284-289.
International Educational Data Mining Society. 2016
Kenfack, Clauvice, Nkambou, Roger, Robert, Serge, Nyamen Tato, Ange Adrienne, Brisson, Janie et Kissok, Pamela.
2016.
« A brief overview of logic-muse, an intelligent tutoring system for logical reasoning skills ».
In 13th International Conference on Intelligent Tutoring Systems, ITS : Proceedings (Zagreb, Croatia, June 07-10, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9684.
pp. 511-513.
Springer.
Nkambou, Roger, Nyamen Tato, Ange Adrienne, Brisson, Janie, Kenfack, Clauvice, Robert, Serge et Kissok, Pamela.
2016.
« On the evaluation of the expert and the learner models of logic-muse tutoring system ».
In 13th International Conference on Intelligent Tutoring Systems, ITS : Proceedings (Zagreb, Croatia, June 07-10, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9684.
pp. 506-508.
Springer.
Tato, Ange, Nkambou, Roger, Brisson, Janie, Kenfack, Clauvice, Robert, Serge et Kissok, Pamela.
2016.
« A Bayesian network for the cognitive diagnosis of deductive reasoning ».
In Adaptive and Adaptable Learning : 11th European Conference on Technology Enhanced Learning, EC-TEL : Proceedings (Lyon, France, Sept. 13-16, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9891.
pp. 627-631.
Springer. 2015
Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P. et Tato, A..
2015.
« The participatory design of logic-muse, an intelligent tutoring system for logical reasoning in multiple contexts ».
In EdMedia: World Conference on Educational Media and Technology (Montreal, QC, Canada, June 22, 2015)
pp. 1710-1719.
Montreal, Quebec, Canada : Association for the Advancement of Computing in Education (AACE).
Nkambou, Roger, Brisson, Janie, Kenfack, Clauvice, Robert, Serge, Kissok, Pamela et Tato, Ange.
2015.
« Towards an intelligent tutoring system for logical reasoning in multiple contexts ».
In Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL : Proceedings (Toledo, Spain, Sept. 15-18, 2015)
Coll. « Lecture Notes in Computer Science », vol. 9307.
pp. 460-466.
Springer. |
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