E-grāmata: Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023, Proceedings

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 Alzheimers 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.