The 10th International Conference on Fuzzy Systems and Data Mining (FSDM 2024)

Abstract: In this talk analogies and differences between a type of fuzzy transform and a type of autoencoder, both based on a least-squares optimization, will be presented. Such schemes have been recently introduced in the literature in different contexts. As it will be shown, the least-squares fuzzy transform can be regarded as a kind of autoencoder with a lower computational cost.

Biography: Stefania Tomasiello, Ph.D. in computer science (University of Salerno, Italy) is currently a lecturer of Artificial Intelligence with the Institute of Computer Science, University of Tartu, Estonia. Formerly, permanent senior researcher with CO.RI.SA. (Research Consortium on Agent Systems), University of Salerno, Italy and senior research fellow with the Dept. of Management and Innovation Systems (DISA-MIS), University of Salerno. She holds the Italian Scientific Qualification to function as associate professor in computer science and numerical analysis. Workpackage leader in several funded projects and expert evaluator (ex-ante and ex-post) of applied research projects for the Italian Ministry of Economic Development and, formerly, the Italian Ministry of University and Research. TPC member in many international conferences, here included ACM and IEEE sponsored events. Her research interests lie in scientific and soft computing, AI, fuzzy mathematics, nonlinear dynamics. She authored and co-authored numerous papers in the above-mentioned areas. She is managing editor of Evolutionary Intelligence (Springer), associate editor of International Journal of Computer Mathematics (Taylor&Francis), and editorial board member of some journals. ACM, ECMI, EUSFLAT, IEEE, and INNS member.