About Event

The 1st International Conference on Optimization Techniques for Learning (ICOTL 2023) is a major international conference to bring together researchers, engineers, and scientists from academia and industry working in Machine Learning and Data Science and their applications in different scientific, technical, and social optimization problems. Researchers will meet for discussion, exchanging ideas, opinions, and most importantly to present their latest works and research results. Special sessions on various subjects related to artificial intelligence, soft-computing, intelligent systems, perception, cognitive science, psychology, data analysis, IoT are welcome.

Events

Conference

Paper presentation

PPT Topics

Statistical and Machine Learning Algorithms: Classification and Regression Algorithms, Optimization of objective functions – algorithms and efficacies

Neural Networks and Support Vector Machines: Shallow and Deep Networks, Auto-coders

Pattern recognition, Object Detection and Image analysis

Stochastic Search Algorithms for Optimum Solutions: Constrained and unconstrained problems, Evolutionary programming and its variants

Type I and Type II Fuzzy algorithms, Granular computing and rough set

Optimization in Sustainable and Strategic Problems, Personal and Social problems

Social and Scale Free Networks: Clustering and Centrality, Applications in Recommender System, Bioinformatics, Disease control, Social Welfare, etc.

Text mining: Semantics Analysis, Topic Modeling, Sentiment Analysis, Web Mining, Transformer and BERT

Cognitive Neuroscience: Neuro-computing, Perception, Cognition

Optimization in Finance and Business Management

Contact Details

Dr. R . Nidhya,

Professor,

Department of Computer Science & Engineering,

Madanapalle Institute of Technology & Science,

Andhra Pradesh.

India.

Mail - icotl-info@mits.ac.in

Last Dates for Registration

Important Dates:

Proposal Submission Deadline: July 15, 2023

Notification of Acceptance: July 22, 2023

Full Paper Submission Deadline: August 7, 2023

Conference Dates: December 7-8, 2023