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ORCID16th ICCCI 2024: Leipzig, Germany - Part I
- Ngoc Thanh Nguyen
, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz:
Computational Collective Intelligence - 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14810, Springer 2024, ISBN 978-3-031-70815-2
Collective Intelligence and Collective Decision-Making
- Piotr Jedrzejowicz:
Collective Computational Intelligence Challenges and Opportunities. 3-15 - Kamil Pieper, Bartosz Roczniok, Ireneusz Czarnowski:
Reward-Based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem. 16-27 - Aleksandra Baczkiewicz, Jaroslaw Watróbski, Robert Król:
A Novel Multi-criteria Approach Supporting Strong Sustainability Assessment. 28-40 - Rafal Skinderowicz:
Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems Through Adaptive Parameter Tuning. 41-54 - Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
Parallelized Population-Based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. 55-67 - Zakia Zouaghia, Zahra Kodia, Lamjed Ben Said:
A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Learning Model. 68-80
Deep Learning Techniques
- Jihen Frikha Elleuch, Wiem Abbes, Dorra Sellami:
Melanoma Detection Using CBR Approach Within a Possibilistic Framework. 83-94 - Hung Bui, Bac Le:
GANet - Learning Tabular Data Using Global Attention. 95-106 - Mohamed Elamine Khoudour, Ismaïl Biskri, Nadia Ghazzali:
COVID-19 Detection Based on Deep Features and SVM. 107-119 - Javokhir Musaev, Abdulaziz Anorboev, Sarvinoz Anorboeva, Yeong-Seok Seo, Ngoc Thanh Nguyen, Dosam Hwang:
Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features. 120-132 - Thanh-Hai Nguyen, Tuyet Ngoc Huynh, Tai Tan Phan, Hoang Thanh Huynh, Kha Van Nguyen, Ngoc Huynh Pham:
Interpreting Results of VGG-16 for COVID-19 Diagnosis on CT Images. 133-145 - Emna Krichene, Islem Jarraya, Thameur Dhieb, Zohra Mahfouf, Mohamed Neji, Nouha Farhat, Emna Smaoui, Tarek M. Hamdani, Mariem Damak, Chokri Mhiri, Habib Chabchoub, Khmaies Ouahada, Adel M. Alimi:
A Hybrid Approach Using 2D CNN and Attention-Based LSTM for Parkinson's Disease Detection from Video. 146-156 - Piotr Stefanski, Tomasz Jach:
Improved CNN Model Stability and Robustness with Video Frame Segmentation. 157-169 - Hend Karoui, Sihem Hamza, Yassine Ben Ayed:
Deep Learning for Cardiac Diseases Classification. 170-182
Natural Language Processing
- Gia Thinh Ngo Tran, Thang Le Dinh, Cuong Pham-Nguyen:
BABot: A Framework for the LLM-Based Chatbot Supporting Business Analytics in e-Commerce. 185-198 - Imen Gabsi, Hager Kammoun, Asma Wederni, Ikram Amous:
BioBERT for Multiple Knowledge-Based Question Expansion and Biomedical Extractive Question Answering. 199-210 - Dushan Kumarasinghe, Nisansa de Silva:
Abstract Generation with Hybrid Model Supported by Relevance Matrix. 211-223 - Khai T. Phan, Tung Le, Nhi-Thao Tran:
AMAMP: A Two-Phase Adaptive Multi-hop Attention Message Passing Mechanism for Logical Reasoning Machine Reading Comprehension. 224-237 - Gulmira Tolegen, Alymzhan Toleu, Rustam Mussabayev:
Enhancing Low-Resource NER via Knowledge Transfer from LLM. 238-248 - Marcin Pietron, Rafal Olszowski, Jakub Gomulka:
Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. 249-262 - Arkadiusz Janz, Dominik Kurowski, Joanna Baran, Julia Moska, Tomasz Bernas, Marcin Oleksy:
Refining Natural Language Inferences Using Cross-Document Structure Theory. 263-276
Data Mining and Machine Learning
- Farah Farid Babar, Faisal Jamil, Faiza Fareed Babar:
Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. 279-291 - Mouna Dammak, Achraf Makhloufi, Badii Louati, Abdelaziz Kallel:
Detection and Classification of Olive Leaves Diseases Using Machine Learning Algorithms. 292-304 - Quang-Dieu Nguyen, Tu Anh Hoang Nguyen, Nguyen Tien Dat Pham, Trung Kien Nguyen, Phu Pham, Ngoc-Thanh Nguyen, Loan T. T. Nguyen:
Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. 305-317 - Grzegorz Dziczkowski, Barbara Probierz, Grzegorz Madyda:
Detection of Candidate Skills from Job Offers and Comparison with ESCO Database. 318-331 - Mohd Adnan, Tazeem Ahmad, Saima Rafi, Abdullah, Anudeep Vurity:
Multi-objective and Randomly Distributed Fuzzy Logic-Based Unequal Clustering in Heterogeneous Wireless Sensor Networks. 332-345 - Thanh-Ngo Nguyen:
nMITP-Miner: An Efficient Method for Mining Frequent Maximal Inter-transaction Patterns. 346-358 - Szymon Glowania, Jan Kozak, Przemyslaw Juszczuk:
A Heterogeneous Ensemble of Classifiers for Sports Betting: Based on the English Premier League. 359-371 - Bartosz Brejna, Marcin Pietranik, Adrianna Kozierkiewicz:
The New K-Means Initialization Method. 372-381 - Trinh D. D. Nguyen, N. T. Tung, Loan T. T. Nguyen, Bay Vo:
Efficiently Discover Multi-level Maximal High-Utility Patterns from Hierarchical Databases. 382-393
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