Computational Collective Intelligence [electronic resource] : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part II / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz.

Colaborador(es): Nguyen, Ngoc Thanh [editor.] | Franczyk, Bogdan [editor.] | Ludwig, André [editor.] | Núñez, Manuel [editor.] | Treur, Jan [editor.] | Vossen, Gottfried [editor.] | Kozierkiewicz, Adrianna [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Artificial Intelligence ; 14811Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XXVIII, 395 p. 172 illus., 111 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031708190Tema(s): Artificial intelligence | Computer engineering | Computer networks  | Data structures (Computer science) | Information theory | Computer science | Artificial Intelligence | Computer Engineering and Networks | Computer Communication Networks | Data Structures and Information Theory | Theory of ComputationFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto
Contenidos:
-- Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur´an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer's disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes.
En: Springer Nature eBookResumen: 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. 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 .
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-- Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur´an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer's disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes.

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. 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 .

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