Intelligent Data Engineering and Automated Learning - IDEAL 2021

AutomatedMachine Learning.- Learning Inter-Lingual Document Representations via Concept Compression.- Mixture-based probabilistic graphical models for the partial label ranking problem.- From classification to visualization: a two way trip.- Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora.- Countering misinformation through semantic-aware multilingual models.- Genetic and Ant Colony algorithms to solve the multi-TSP.- Explainable AI (XAI) in Healthcare - Opportunities, Gaps and Challenges and a New Way to Look the Problem Space.- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images.- SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method.- Evaluating Football Player Actions during Counterattacks.- An Intelligent Decision Support System for Production Planning in Garments Industry.- Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images.- "A Profile on Twitter Shadowban: an AI Ethics.- position paper on Free-Speech".- Meta-Feature Extraction Strategies for Active Anomaly Detection.- An implementation of the "Guess who?" game using CLIP.- Directional Graph Transformer-based Control Flow Embedding for Malware Classification.- Violence Detection with Audio inside the Car.- Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants.- LSTM neural network modeling of wind speed and correlation analysis of wind and waves.- Finding Local Explanations through Masking Models.- Wind Turbine Modelling based on Neural Networks: a First Approach.- Multi-Attribute Forecast of the Price in the Iberian Electricity Market.- Tracking the temporal-evolution of supernova bubbles in numerical simulations.- SOMiMS - Topographic Mapping in the Model Space.- Fair Regret Minimization Queries.- Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis.- Special Session on Clustering for Interpretable Machine Learning.- Detecting Communities in Feature-Rich Networks with a K-Means Method.- Meta-learning based feature selection for clustering.- ACHC: Associative Classifier based on Hierarchical Clustering.- Special Session on Machine Learning towards Smarter Multimodal Systems.- Multimodal Semi-supervised Bipolar Disorder Classification.- Developments on support vector machines for multiple-expert learning.- WalkingStreet: understanding human mobility phenomena through a mobile application.- Indoor Positioning System for Ubiquitous Computing Environments.- Special Session on Computational Intelligence for Computer Vision and Image Processing.- T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning.- Radar echo image prediction algorithm based on multi-scale encoding-decoding network.