TY  - BOOK
AU  - Nguyen,Ngoc Thanh
AU  - Franczyk,Bogdan
AU  - Ludwig,André
AU  - Núñez,Manuel
AU  - Treur,Jan
AU  - Vossen,Gottfried
AU  - Kozierkiewicz,Adrianna
ED  - SpringerLink (Online service)
TI  - Computational Collective Intelligence: 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part I 
T2  - Lecture Notes in Artificial Intelligence,
SN  - 9783031708169
AV  - Q334-342 
U1  - 006.3 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Artificial intelligence
KW  - Computer engineering
KW  - Computer networks 
KW  - Data structures (Computer science)
KW  - Information theory
KW  - Computer science
KW  - Artificial Intelligence
KW  - Computer Engineering and Networks
KW  - Computer Communication Networks
KW  - Data Structures and Information Theory
KW  - Theory of Computation
N1  -  -- 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
N2  - 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 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.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-70816-9
ER  -