| Description |
1 online resource |
| Series |
Lecture Notes in Artificial Intelligence ; 12981 |
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LNCS sublibrary: SL7 - Artificial intelligence |
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Lecture notes in computer science. Lecture notes in artificial intelligence ; 12981.
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
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 |
| Summary |
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 |
| Subject |
Artificial intelligence -- Congresses
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Application software
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Artificial intelligence
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Marreiros, Goreti., editor
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Melo, Francisco S., editor
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Lau, Nuno., editor
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Lopes Cardoso, Henrique., editor
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Reis, Luís Paulo. editor.
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| ISBN |
9783030862305 |
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3030862305 |
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