Before creating Emotia, our members made significant scientific contributions. We present a selection of previous works that have supported our current approach, aimed at endowing AI with a nuanced understanding of emotional, psychological, and contextual aspects. These works span the domains of Decision Support and Constraint Optimization, Psychology and Human Behavior, Environment, and Recommendation Systems.

Decision Support and Constraint Optimization

• Bessiere, Christian, Remi Coletta, and Thierry Petit. “Learning Implied Global Constraints.” In IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007, edited by Manuela M. Veloso, 44–49, 2007. [PDF]

• Cortial, Kevin, and Arnault Pachot. “Sodinokibi Intrusion Detection Based on Logs Clustering and Random Forest.” In 2021 2nd International Conference on Artificial Intelligence and Information Systems, 1–4. Chongqing China: ACM, 2021. Accessed February 15, 2022. [DOI] [PDF]

• Derrien, Alban, and Thierry Petit. “A New Characterization of Relevant Intervals for Energetic Reasoning.” In Principles and Practice of Constraint Programming - 20th International Conference, CP 2014, Lyon, France, September 8-12, 2014. Proceedings, edited by Barry O’Sullivan, 8656:289–297. Lecture Notes in Computer Science. Springer, 2014. [DOI]

• Pachot, Arnault, Adélaïde Albouy-Kissi, Benjamin Albouy-Kissi, and Frédéric Chausse. “Decision Support System for Distributed Manufacturing Based on Input-Output Analysis and Economic Complexity.” arXiv:2201.00694 (December 23, 2021). Accessed February 15, 2022. [DOI] [PDF]

• Petit, Thierry. “On Constraint Linear Decompositions Using Mathematical Variables.” In 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA, November 6-8, 2017, 123–130. Best paper award. IEEE Computer Society, 2017. [DOI]

• Petit, Thierry, and Andrew C. Trapp. “Enriching Solutions to Combinatorial Problems via Solution Engineering.” INFORMS Journal of Computing 31, no. 3 (2019): 429–444. [DOI][Preprint PDF]

• Verdier, Claire, Stephane Perriot, and Arnault Pachot. “Weighted Cross-Entropy to Tackle Overlapping in Fraud Detection.” In 15th International Conference on Machine Learning and Computing. Zhuhai, China, 2023. [PDF]

Ethics and the environment

• Pachot, Arnault, and Céline Patissier. “Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues.” Green and Low-Carbon Economy (February 2023): 1–10. [DOI] [PDF]

Recommendation Systems

• Pachot, Arnault, Adelaide Albouy-Kissi, Benjamin Albouy-Kissi, and Frederic Chausse. “Production2Vec: A Hybrid Recommender System Combining Semantic and Product Complexity Approach to Improve Industrial Resiliency.” In 2021 2nd International Conference on Artificial Intelligence and Information Systems, 1–6. Chongqing China: ACM, 2021. Accessed December 13, 2022. [DOI] [PDF]

• Pachot, Arnault, Adelaide Albouy-Kissi, Benjamin Albouy-Kissi, and Frédéric Chausse. “Multiobjective Recommendation for Sustainable Production Systems.” In Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) Co-Located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021, edited by Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, and Babak Loni. Vol. 2959. CEUR Workshop Proceedings. CEUR-WS.org, 2021. [DOI] [PDF]