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 blind hyperspectral 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-Bones Particle 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 DC Programming 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 Genetic Algorithm
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 Hybrid Software-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 and reactive 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 a specialized balancing algorithm and the Adaboost technique
Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks.