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16th ICCCI 2024: Leipzig, Germany - Part I
- Ngoc Thanh Nguyen
, Bogdan Franczyk
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
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
Parallelized Population-Based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. 55-67 - Zakia Zouaghia
A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Learning Model. 68-80
Deep Learning Techniques
- Jihen Frikha Elleuch
Melanoma Detection Using CBR Approach Within a Possibilistic Framework. 83-94 - Hung Bui
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
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
A Hybrid Approach Using 2D CNN and Attention-Based LSTM for Parkinson's Disease Detection from Video. 146-156 - Piotr Stefanski
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
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
Abstract Generation with Hybrid Model Supported by Relevance Matrix. 211-223 - Khai T. Phan, Tung Le
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
Refining Natural Language Inferences Using Cross-Document Structure Theory. 263-276
Data Mining and Machine Learning
- Farah Farid Babar, Faisal Jamil
Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. 279-291 - Mouna Dammak, Achraf Makhloufi
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
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
A Heterogeneous Ensemble of Classifiers for Sports Betting: Based on the English Premier League. 359-371 - Bartosz Brejna
The New K-Means Initialization Method. 372-381 - Trinh D. D. Nguyen
Efficiently Discover Multi-level Maximal High-Utility Patterns from Hierarchical Databases. 382-393
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