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

Abstract: Digital images introduced big changes in the world. Besides using digital images in everyday life, they became an irreplaceable part of numerous scientific areas such as medicine, security, agriculture, etc. One of the usual tasks in applications with digital images is digital image classification. Great progress in solving this task was made in recent years by convolutional neural networks. Convolutional neural networks represent a special class of deep neural networks that take a spatial correlation of input data into consideration. The results achieved by CNN are significantly better in comparison with the other classification methods. To use a CNN for a specific classification problem it is necessary to find the optimal network architecture and set various hyperparameters such as the number of different layers, number of neurons in each layer, optimization algorithm, activation functions, kernel size, optimization algorithm, etc. Frequently, CNN’s configuration is based on some previous experience or knowledge or set by guessing and estimating (guestimating) better values for the hyperparameters. Recent studies achieved promising results when using swarm intelligence algorithms for CNN’s hyperparameters tuning. A few examples of using swarm intelligence algorithms for convolutional neural network hyperparameter tuning will be presented.

Biography: Milan Tuba is the Vice Rector for International Relations, Singidunum University, Belgrade, Serbia and was the Head of the Department for Mathematical Sciences at State University of Novi Pazar and the Dean of the Graduate School of Computer Science at John Naisbitt University. He received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph. D. in Computer Science from University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A. first at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University and later as Assistant Professor of Electrical Engineering at Cooper Union School of Engineering, New York. During that time he was the founder and director of Microprocessor Lab and VLSI Lab, leader of scientific projects and theses supervisor. From 1994 he was Assistant Professor of Computer Science and Director of Computer Center at University of Belgrade, from 2001 Associate Professor, Faculty of Mathematics, University of Belgrade, from 2004 also a Professor of Computer Science and Dean of the College of Computer Science, Megatrend University Belgrade. He was teaching more than 20 graduate and undergraduate courses, from VLSI Design and Computer Architecture to Computer Networks, Operating Systems, Image Processing, Calculus and Queuing Theory. His research interest includes nature-inspired optimizations applied to computer networks, image processing and combinatorial problems. Prof. Tuba is the author or coauthor of more than 200 scientific papers and coeditor or member of the editorial board or scientific committee of number of scientific journals and conferences. He was invited and delivered around 60 keynote and plenary lectures at international conferences. He has been member of the ACM, IEEE, AMS, SIAM, IFNA.