Computational Collective Intelligence (eBook, PDF)

17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12-15, 2025, Proceedings, Part II
Redaktion: Nguyen, Ngoc Thanh; Vossen, Gottfried; Treur, Jan; Núñez, Manuel; Nguyen van, Sinh; Kozierkiewicz, Adrianna; Dinh Duc Anh, Vu

• Format: PDF

Produktbeschreibung

This two-set volume LNAI 16138-16139 constitutes the refereed proceedings of the 17th International Conference on Computational Collective Intelligence, ICCCI 2025, held in Ho Chi Minh City, Vietnam, during November 12-15, 2025.

The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections:

Part I: Collective Intelligence and Collective Decision-Making; Co-operative Strategies for Decision-Making & Optimisation; Natural Language Processing; Knowledge Engineering & Industry 4.0 Applications; Data Mining & Machine Learning.

Part II: Social Networks and Intelligent Systems; Cyber-Security, Blockchain & IoT; Computational Intelligence in Medical Applications; Computational Intelligence for Digital Content Understanding.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 513
• Erscheinungstermin: 7. November 2025
• Englisch
• ISBN-13: 9783032093219
• Artikelnr.: 75845588

Inhaltsangabe

.
Social Networks & Intelligent Systems:From Relevance to Discovery: Trends in Overcoming Information Bubbles.
Enhanced Link Prediction in Social Networks Leveraging Reinforcement Learning and Similarity Algorithms.
Outdoor air quality and health impact: the PANORAMA knowledge graph based approach.
An Integrative Network Modeling Approach for the Interplay of Emotion Contagion, Empathic Responding, and Interpersonal Emotion Regulation for an AI Coach.
A Formal Model for Determining the Influence Between Users in Social Media Using Directed and Weighted Graphs.
Query
Aware Temporal Knowledge Graph Reasoning with Multi
Source Knowledge Based Generation.
Self
Attention based Sequential Recommendation Systems improved with Reviews Topic Modeling in e
Commerce Transactions.
Cyber
Security, Blockchain & IoT:Enhancing Phishing URL Detection with Graph Neural Networks: A Combination of URL and HTML Features.
Enhancing DevSecOps Through Large Language Model Integration: A Pipeline
Centric Approach.
Lightweight Activity Recognition Model Based on Tiny Machine Learning for Embedded Devices.
BeDFL: A Blockchain
enabled Decentralized Federated Learning in a Non
trusted Environment.
A Dual
Layer Defense Mechanism for Dropout Attack in Wireless Link Estimation.
Black
box Two
phase Adversarial Attack: Finding Important Regions and Reducing L2
loss.
Computational Intelligence in Medical Applications:Retinal Blood Vessels Segmentation for ROP Plus Form Diagnosis.
Data imputation for noisy time
series data in healthcare.
Leukemia Detection Based on YOLOv11 with Global and Local Contexts Interaction.
MOSL: Integrating multi
omics and machine learning to predict synthetic lethality in cancer cell lines.
The New Method for Detection of Alzheimer’s Disease.
Enhanced CT Image Reconstruction Using VMD
Based Quaternion Bilateral Filtering.
Computational Intelligence for Digital Content Understanding: Automated Image Recognition Framework.
FaR: Enhancing Multi
Concept Text
to
Image Diffusion via Concept Fusion and Localized Refinement.
LTDAD
Talker: Landmark
guided Talking Face Generation with Temporal Consistency and Detail
Aware Discriminator.
Semi
Supervised Video Action Detection Using a UNet
like Architecture.
Enhancing Tracking
by
Transformer by using State Transition Prediction.
Temporal Interpolation of Variable
sized LIDAR Point Clouds.
WSS
CL: Weight Saliency Soft
Guided Contrastive Learning for Efficient Machine Unlearning Image Classification.
CLM: Momentum and Torque Conservation for Robust Continual Learning.
Learning action strategies in the Wumpus World with DQN.
Can Frequency Filtering Approximate CNNs for Enhancing Segment Anything?.
R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation.
Deep Learning
Based Source Printer Identification from Microscopic Ink Dots Using Morphology
Based Augmentation.
An algorithm to remove motion
based artifacts in MRI data based on deep learning methods.
Imbalanced Data Problem in INTERCO Detection.
Collaborative Multimodal Learning for Human
Human Interaction Recognition in Videos.