Computational Collective Intelligence

15th International Conference, ICCCI 2023, Budapest, Hungary, September 27¿29, 2023, Proceedings
Herausgegeben:Nguyen, Ngoc Thanh; Botzheim, János; Gulyás, László; Núñez, Manuel; Treur, Jan; Vossen, Gottfried; Kozierkiewicz, Adrianna

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27-29, 2023.
The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; 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; computational intelligence in medical applications; and ensemble models and data fusion.

Produktdetails

• Lecture Notes in Computer Science 14162
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-41455-8
• 1st ed. 2023
• Seitenzahl: 880
• Erscheinungstermin: 14. September 2023
• Englisch
• Abmessung: 235mm x 155mm x 47mm
• Gewicht: 1305g
• ISBN-13: 9783031414558
• ISBN-10: 3031414551
• Artikelnr.: 68393459

Inhaltsangabe

Collective Intelligence and Collective Decision-Making.- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions.- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management.- An Architecture for Enabling Collective Intelligence in IoT Networks.- Self-Organizing Maps for Data Purchase Support in Data Marketplaces.- Agent based model of elementary school group learning - a case study.- Deep Learning Techniques.- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks.- DNGAE: Deep Neighborhood Graph Autoencoder for robust blindhyperspectral unmixing.- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition.- Graph Convolution Collaborative Filtering with Dense Embeddings.- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-BonesParticle Swarm Optimization for Chest X-ray Image Classification.- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection.- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series.- Efficient Sparse Networks from Watts-Strogatz Network Priors.- Natural Language Processing.- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation.- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method.- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology.- Detecting Duplicate Multiple Choice Questions in The Large Question Bank.- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform.- Data Minning and Machine learning.- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach.- Complexity-Based Code Embeddings.- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study.- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation.- Staircase Recognition based on Possibilistic Feature Quality Assessment Method.- Social Networks and Intelligent Systems.- Toward effective link prediction based on local information in organizational social networks.- A new topic modeling method for tweets comparison.- Measuring gender: A machine learning approach to social media demographics and author profiling.- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach.- Educational Videos Recommendation System Based On Topic Modeling.- Cybersecurity, Blockchain Technology and Internet of Things.- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems.- Trust Assessment on Data Stream Imputation in IoT Environments.- Optimizing Merkle Tree Structure for Blockchain transactions by a DCProgramming approach.- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living.- Hyperledger blockchain-enabled cold chain application for flower logistics.- A Fully Decentralized Privacy-Enabled Federated Learning System.- Cooperative Strategies for Decision Making and Optimization.- Two-dimensional Pheromone in Ant Colony Optimization.- Analysis of different reinsertion strategies in Steady State GeneticAlgorithm.- Traffic Optimization by Local Bacterial Memetic Algorithm.- Optimizing Fire Control Monitoring System in Smart Cities.- Computational Intelligence for Digital Content Understanding.- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning.- Speaker Identification Enhancement Using Emotional Features.- Classification of punches in Olympic boxing using static RGB cameras.- Learning Human Postures using Lab-Depth HOG Descriptors.- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis.- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network.- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification.- Intelligent Automated Pancreas Segmentation using U-Net Model Variants.- Knowledge Engineering and Apllication for Industry 4.0.- Energy and Congestion Awareness Traffic Scheduling in HybridSoftware-Defined Network with Flow Splitting.- "Is Proton good enough?" - a performance comparison between gaming on Windows and Linux.- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas.- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas.- Complex layers of ranked prognostic models.- Project Team Members competences configuration: a proactive andreactive approach.- Computational Intelligence in Medical Applications.- Teeth disease recognition based on X-ray images.- Predicting Alzheimer's Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort.- MEP: A Comprehensive Medicines Extraction System on Prescriptions.- New Approaches to Monitoring Respiratory Activity as Part of an Intelligent Model for Stress Assessment.- An Adaptive Network Model for Anorexia Nervosa: Addressing the Effects of Therapy.- ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 chest X-Ray image.- Ensemble Models and Data Fusion.- Credit Risk Scoring Using a Data Fusion Approach.- Goal-oriented Classification of Football Results.- Learning from Imbalanced Data Streams Using Rotation-based Ensemble Classifiers.- DE-Forest - optimized decision tree ensemble.- Mining multiple class imbalanced datasets using aspecialized balancing algorithm and the Adaboost technique.- Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks.