This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 911, 2024.
The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics:
Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning.
Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0.
.- Collective Intelligence and Collective Decision-Making.
.- Collective Computational Intelligence challenges and opportunities.
.- Reward-based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem.
.- A Novel Multi-Criteria Approach Supporting Strong Sustainability Assessment.
.- Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems through Adaptive Parameter Tuning.
.- Parallelized Population-based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances.
.- A Collective Intelligence To Predict Stock Market Indices Applying An Optimized Hybrid Ensemble Learning Model.
.- Deep Learning Techniques.
.- Melanoma detection using CBR approach within a possibilistic framework.
.- GANet - Learning tabular data using global attention.
.- COVID-19 Detection based on Deep Features and SVM.&llS(