Progress in Artificial Intelligence

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.

Inhalt

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 Proposal for 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 Comparison of 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.- More Data 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.