LEADER 06309nam 22007575 450 001 9910886988403321 005 20240906130227.0 010 $a3-031-70816-4 024 7 $a10.1007/978-3-031-70816-9 035 $a(MiAaPQ)EBC31650803 035 $a(Au-PeEL)EBL31650803 035 $a(CKB)34843072800041 035 $a(DE-He213)978-3-031-70816-9 035 $a(EXLCZ)9934843072800041 100 $a20240906d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Collective Intelligence $e16th International Conference, ICCCI 2024, Leipzig, Germany, September 9?11, 2024, Proceedings, Part I /$fedited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (418 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14810 311 $a3-031-70815-6 327 $a -- 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. -- Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features. -- Interpreting results of VGG-16 for COVID-19 diagnosis on CT images. -- A hybrid approach using 2D CNN and attention-based LSTM for Parkinson?s Disease Detection from video. -- Improved CNN Model Stability and Robustness with Video Frame Segmentation. -- Deep Learning for Cardiac Diseases Classification. -- Natural Language Processing. -- BABot: a Framework for the LLM-based Chatbot Supporting Business Analytics in e-Commerce. -- BioBERT for Multiple knowledge-based question expansion and biomedical extractive question answering. -- AMAMP: A Two-Phase Adaptive Multi-hop Attention Message Passing Mechanism For Logical Reasoning Machine Reading Comprehension. -- Enhancing Low-Resource NER via Knowledge Transfer from LLM. -- Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. -- Refining Natural Language Inferences using Cross-Document Structure Theory. -- Data Mining and Machine Learning. -- Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. -- Detection and Classification of olive leaves diseases using machine learning algorithms. -- Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. -- Detection of candidate skills from job offers and comparison with ESCO database. -- Multi-objective and Randomly Distributed Fuzzy Logic-based Unequal Clustering in Heterogeneous Wireless Sensor Networks. -- nMITP-Miner: An efficient method for mining frequent maximal inter-transaction patterns. -- A heterogeneous ensemble of classifiers for sports betting: based on the English Premier League. -- The New K-Means Initialization Method. -- Efficiently discover multi-level maximal high-utility patterns from hierarchical databases. 330 $aThis two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9?11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics: Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning. Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14810 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aData structures (Computer science) 606 $aInformation theory 606 $aComputer science 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputer Communication Networks 606 $aData Structures and Information Theory 606 $aTheory of Computation 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aData structures (Computer science). 615 0$aInformation theory. 615 0$aComputer science. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputer Communication Networks. 615 24$aData Structures and Information Theory. 615 24$aTheory of Computation. 676 $a006.3 700 $aNguyen$b Ngoc Thanh$0601234 701 $aFranczyk$b Bogdan$01768454 701 $aLudwig$b André$01768455 701 $aNúñez$b Manuel$046583 701 $aTreur$b Jan$0753297 701 $aVossen$b Gottfried$01000642 701 $aKozierkiewicz$b Adrianna$01258246 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910886988403321 996 $aComputational Collective Intelligence$94229443 997 $aUNINA