Special Session on Data Generation and Data Pre-processing in Machine Learning
A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory
Multi-Agent Based Manifold Denoising
A Novel Evaluation Metric for Synthetic Data Generation
Data Pre-processing and Data Generation in the Student Flow Case Study
Enhanced Credit Prediction using Artificial Data
Data Generation Using Gene Expression Generator
Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection
Special Session on Optimization and Machine Learning for Industry 4.0
Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search
An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments
Unified Performance Measure for Binary Classification Problems
Data Augmentation for Industrial Prognosis using Generative Adversarial Networks
A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design
Special Session on Practical Applications of Deep Learning
Cloud Type Identification Using Data Fusion and Ensemble Learning
Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports
Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images
Video Semantics Quality Assessment using Deep Learning
A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines
Predicting Recurring Telecommunications Customer Support Problems using Deep Learning
Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study
On Analysing Similarity Knowledge Transfer by Ensembles
Special Session on New trends and challenges on Social Networks Analysis
Social Network Recommender System, a Neural Network Approach
Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems
Special Session on Machine Learning in Automatic Control
Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation
Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California
Wind Turbine Pitch Control First Approach based on Reinforcement Learning
Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines
Special Session on Emerging Trends in Machine Learning
Autoencoder Latent Space Influence on IoT MQTT Attack Classification
A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus
A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms
Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics
Anticipating Maintenance in Telecom Installation Processes
Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine
Stateful Optimization in Federated Learning of Neural Networks
Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent
Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data
Special Session on Machine Learning, Law and Legal Industry
Intellectual Properties of Artificial Creativity: Dismantling Originality in European's Legal Framework
Network Analysis for Fraud Detection in Portuguese Public Procurement
Biased Language Detection in Court Decisions
Special Session on Machine Learning Algorithms for Hard Problems
A One-by-One Method for Community Detection in Attributed Networks
A Hybrid Approach to the Analysis of a Collection of Research Papers
Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images
Special Session on Automated learning for industrial applications
Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing
Quaternion Neural Networks: State-of-the-art and Research Challenges
A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes
A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier
A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects
Improving Performance of Recommendation System Architecture
Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network
Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces
Deep Learning Based Algorithms for Welding Edge Points Detection
Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot
Prediction of Small-Wind Turbine Performance from Time Series Modelling using Intelligent Techniques
Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data
Atmospheric Tomography using Convolutional Neural Networks
Workshop on Machine Learning in Smart Mobility
Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection
Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case
Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video
A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem
Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist.