Artificial Intelligence and IoT in Agriculture -- Autonomous Robot Visual-only Guidance in Agriculture using Vanishing Point Estimation -- Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach -- Tomato Detection Using Deep Learning For Robotics Application -- Predicting Predawn Leaf Water Potential up to seven days using Machine Learning -- Artificial Intelligence and Law -- Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom -- A comparison of classification methods applied to legal text data -- Artificial Intelligence in Medicine -- Aiding clinical triage with text classification -- A web-based telepsychology platform prototype using Cloud Computing and Deep Learning tools -- Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices -- The evolution of Artificial Intelligence in Medical Informatics: a bibliometric analysis -- Artificial Intelligence in Power and Energy Systems -- Optimizing Energy Consumption of Household Appliances using PSO and GWO -- Metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods -- Multitask Learning for Predicting Natural Flows: a Case Study at Paraiba do Sul River -- PV Generation Forecasting Model for Energy Management in Buildings -- Automatic evolutionary settings of machine learning methods for buildings' thermal loads prediction -- Artificial Intelligence in Transportation Systems -- Minimising Fleet Times in Multi-Depot Pickup and Dropo Problems -- Solving a Bilevel Problem with Station Locationand Vehicle Routing using Variable Neighborhood Descent and Ant Colony Optimization -- Artificial Life and Evolutionary Algorithms -- Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface -- FERMAT: Feature Engineering with Grammatical Evolution -- Ambient Intelligence and Affective Environments -- A Reputation Score Proposalfor Online Video Platforms -- A Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals -- Urban Human Mobility modelling and prediction: Impact of Comfort and Well-Being Indicators -- Comparison of Transfer Learning Behavior in Violence Detection with different Public Datasets -- General AI -- Deep neural network architectures for Speech Deception Detection: a brief survey -- 3DSRASG: 3D Scene Retrieval and Augmentation using Semantic Graphs -- Revisiting \Recurrent World Models Facilitate Policy Evolution" -- Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL -- The DeepONets for finance: An approach to calibrate the Heston Model -- Faster than LASER - Towards Stream Reasoning with Deep Neural Networks -- Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling -- A Chatbot for Recipe Recommendation and Preference Modeling -- Intelligent Robotics -- Exploiting Symmetry in Human Robot-Assisted Dressing using Reinforcement Learning -- I2SL: learn how to swarm autonomous quadrotors using Iterative Imitation Supervised Learning -- Neural network classifier and robotic manipulation for an autonomous industrial cork feeder -- NOPL - Notification Oriented Programming Language - A new Language, and its application to program a robotic soccer team -- Compound Movement Recognition using Dynamic Movement Primitives -- Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance -- Knowledge Discovery and Business Intelligence -- Generalised Partial Association in Causal Rules Discovery -- Dynamic Topic Modeling using Social Network Analytics -- Imbalanced Learning in Assessing the Risk of Corruption in Public Administration -- Modelling voting behaviour during a general election campaign using dynamic Bayesian networks -- ESTHER: A Recommendation System for Higher Education Programs -- A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions -- A Comparisonof Machine Learning Methods for Extremely Unbalanced Industrial Quality Data -- Towards Top-up Prediction on Telco Operators -- Biomedical Knowledge Graph Embeddings for Personalized Medicine -- Deploying a speech therapy game using a deep neural network sibilant consonants classifier -- Data Streams for Unsupervised Analysis of Company Data -- Multi-Agent Systems: Theory and Applications -- One Arm to Rule Them All: Online Learning with Multi-armed Bandits for Low-resource Conversational Agents -- Helping People On The Fly: Ad Hoc Teamwork for Human-Robot Teams -- Ad hoc teamwork in the presence of non-stationary teammates -- Carbon Market Multi-Agent Simulation Model -- Cloud Based Decision Making for Multi-Agent Production Systems -- A Data-driven Simulator for Assessing Decision-making in Soccer -- Text Mining and Applications -- CyberPolice: Classification of Cyber Sexual Harassment -- Neural Text Categorization with Transformers for learning Portuguese as a Second Language -- MoreData is Better only to Some Level, after which It is Harmful:profiling Neural Machine Translation Self-Learning with Back-Translation.-- Answering Fill-in-the-Blank Questions in Portuguese with Transformer Language Models -- Cross-Lingual Annotation Projection for Argument Mining in Portuguese -- Acceptance Decision Prediction in Peer-Review through Sentiment Analysis -- Application of Data Augmentation techniques for Hate Speech Detection with Deep Learning -- Automated Fake News detection using Computational Forensic Linguistics.

This book constitutes the refereed proceedings of the 20th EPIA Conference on Artificial Intelligence, EPIA 2021, held virtually in September 2021. The 62 full papers and 6 short papers presented were carefully reviewed and selected from a total of 108 submissions. The papers are organized in the following topical sections: artificial intelligence and IoT in agriculture; artificial intelligence and law; artificial intelligence in medicine; artificial intelligence in power and energy systems; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; ambient intelligence and affective environments; general AI; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; and text mining and applications.