Intelligent Data Engineering and Automated Learning - IDEAL 2020

Algorithmsin 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 TimeSeries 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.