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François JACQUENET

François Jacquenet obtained his PhD degree from the University of Besançon in 1988 before joining the European Project ALF at the University of Nancy, France, as a young researcher, and the University of Dijon as an associate professor in 1989. He worked as a researcher for IBM's Almaden research Centre in the United States in 1999 and 2000. He got his tenure as a Professor in Computer Science at Jean Monnet University upon his return to France. He has been teaching and doing research at Hubert Curien Laboratory ever since.



TEACHING
  • Databases Fundamentals
  • Compiling Techniques
  • Natural Language Processing
  • Introduction to Artificial Intelligence
  • Software Engineering



PUBLICATIONS

  • Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Dual Sequential Variational Autoencoders for Fraud Detection, Proceedings of the 18th International Symposium on Intelligent Data Analysis, LNCS 12080, pp. 14-26, Springer, 2020.
  • Tu My Doan, François Jacquenet, Christine Largeron, Marc Bernard, A Study of Text Summarization Techniques for Generating Meeting Minutes, Proceedings of the 14th International Conference Research Challenges in Information Science, pp. 522-528, 2020.
  • Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Wissam Siblini, Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection, Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, pp. 1351-1355, 2019.