Progress in artificial intelligence : 19th EPIA conference on artificial intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019 : proceedings. Part I
معرفی کتاب «Progress in artificial intelligence : 19th EPIA conference on artificial intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019 : proceedings. Part I» نوشتهٔ Paulo Moura Oliveira, Paulo Novais, Luís Paulo Reis، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 1180. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This book constitutes the refereed proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019, held in Funchal, Madeira, Portugal, in September 2019. The 119 revised full papers and 6 short papers presented were carefully reviewed and selected from a total of 252 submissions. The papers are organized in 18 tracks devoted to the following topics: AIEd - Artificial Intelligence in Education, AI4G - Artificial Intelligence for Games, AIoTA - Artificial Intelligence and IoT in Agriculture, AIL - Artificial Intelligence and Law, AIM - Artificial Intelligence in Medicine, AICPDES - Artificial Intelligence in Cyber-Physical and Distributed Embedded Systems, AIPES - Artificial Intelligence in Power and Energy Systems, AITS - Artificial Intelligence in Transportation Systems, ALEA - Artificial Life and Evolutionary Algorithms, AmIA - Ambient Intelligence and Affective Environments, BAAI - Business Applications of Artificial Intelligence, GAI- General AI, IROBOT - Intelligent Robotics, KDBI - Knowledge Discovery and Business Intelligence, KRR - Knowledge Representation and Reasoning, MASTA - Multi-Agent Systems: Theory and Applications, SSM - Social Simulation and Modelling, TeMA - Text Mining and Applications. Front Matter ....Pages i-xl Front Matter ....Pages 1-1 A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian Universities (Diego de Castro Rodrigues, Márcio Dias de Lima, Marcos Dias da Conceição, Vilson Soares de Siqueira, Rommel M. Barbosa)....Pages 3-14 Between Clones and Snow-Flakes: Personalization in Intelligent Tutoring Systems (Francisco Azeiteiro, Manuel Lopes)....Pages 15-26 Student Attention Evaluation System Using Machine Learning for Decision Making (Dalila Durães)....Pages 27-34 Combining Sentiment Analysis Scores to Improve Accuracy of Polarity Classification in MOOC Posts (Herbert Laroca Pinto, Vitor Rocio)....Pages 35-46 Front Matter ....Pages 47-47 Reinforcement Learning in Multi-agent Games: Open AI Gym Diplomacy Environment (Diogo Cruz, José Aleixo Cruz, Henrique Lopes Cardoso)....Pages 49-60 Voxel Based Pathfinding with Jumping for Games (Gabriel Silva, Gustavo Reis, Carlos Grilo)....Pages 61-72 A Reliable Information Acquisition Model for D&D Players (João Gabriel Gama Vila Nova, Marcos Vinícius Carneiro Vital, Roberta Vilhena Vieira Lopes)....Pages 73-85 Solving Motion and Action Planning for a Cooperative Agent Problem Using Geometry Friends (Ana Salta, Rui Prada, Francisco Melo)....Pages 86-97 Spatio-Temporal Attention Deep Recurrent Q-Network for POMDPs (Mariano Etchart, Pawel Ladosz, David Mulvaney)....Pages 98-105 Front Matter ....Pages 107-107 Vineyard Segmentation from Satellite Imagery Using Machine Learning (Luís Santos, Filipe N. Santos, Vitor Filipe, Pranjali Shinde)....Pages 109-120 Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor (Pedro Moura, Daniela Ribeiro, Filipe Neves dos Santos, Alberto Gomes, Ricardo Baptista, Mario Cunha)....Pages 121-133 An Image-Based Deep Learning Model for Cannabis Diseases, Nutrient Deficiencies and Pests Identification (Konstantinos P. Ferentinos, Myrto Barda, Dave Damer)....Pages 134-145 Detection of Tomato Flowers from Greenhouse Images Using Colorspace Transformations (Manya Afonso, Angelo Mencarelli, Gerrit Polder, Ron Wehrens, Dick Lensink, Nanne Faber)....Pages 146-155 Metbots: Metabolomics Robots for Precision Viticulture (R. C. Martins, S. Magalhães, P. Jorge, T. Barroso, F. Santos)....Pages 156-166 Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review (Jorge Miguel Mendes, Paulo Moura Oliveira, Filipe Neves dos Santos, Raul Morais dos Santos)....Pages 167-179 On KNoT Meta-Platform for IoT-Based Control of Storage Grains (João Gabriel Quaresma de Almeida, Josenalde Oliveira, José Boaventura-Cunha)....Pages 180-185 Grapevine Varieties Classification Using Machine Learning (Pedro Marques, Luís Pádua, Telmo Adão, Jonáš Hruška, José Sousa, Emanuel Peres et al.)....Pages 186-199 Cyberphysical Network for Crop Monitoring and Fertigation Control (João Paulo Coelho, Higor Vendramini Rosse, José Boaventura-Cunha, Tatiana M. Pinho)....Pages 200-211 Soil Classification Based on Physical and Chemical Properties Using Random Forests (Didier Dias, Bruno Martins, João Pires, Luís M. de Sousa, Jacinto Estima, Carlos V. Damásio)....Pages 212-223 Low-Cost IoT LoRa®Solutions for Precision Agriculture Monitoring Practices (Nuno Silva, Jorge Mendes, Renato Silva, Filipe Neves dos Santos, Pedro Mestre, Carlos Serôdio et al.)....Pages 224-235 A Low-Cost System to Estimate Leaf Area Index Combining Stereo Images and Normalized Difference Vegetation Index (Jorge Miguel Mendes, Vítor Manuel Filipe, Filipe Neves dos Santos, Raul Morais dos Santos)....Pages 236-247 Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle (Luís Pádua, Nathalie Guimarães, Telmo Adão, Pedro Marques, Emanuel Peres, António Sousa et al.)....Pages 248-257 Digital Ampelographer: A CNN Based Preliminary Approach (Telmo Adão, Tatiana M. Pinho, António Ferreira, António Sousa, Luís Pádua, José Sousa et al.)....Pages 258-271 Front Matter ....Pages 273-273 Learning from Monkeys: Authorship Issues Arising from AI Technology (Jacopo Ciani)....Pages 275-286 Legal Implications of Autonomous Vehicles: What We Know So Far and What’s Left to Work On (Beatriz Assunção Ribeiro, Hélder Coelho, Ana Elisabete Ferreira, João Branquinho)....Pages 287-298 The Role of Artificial Intelligence in the European e-Justice Paradigm – Suiting Effective Judicial Protection Demands (Joana Covelo de Abreu)....Pages 299-308 Front Matter ....Pages 309-309 Heart Sounds Classification Using Images from Wavelet Transformation (Diogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira, Alípio M. Jorge, Luís Antunes)....Pages 311-322 A Multi-modal Deep Learning Method for Classifying Chest Radiology Exams (Nelson Nunes, Bruno Martins, Nuno André da Silva, Francisca Leite, Mário J. Silva)....Pages 323-335 Named Entity Recognition in Portuguese Neurology Text Using CRF (Fábio Lopes, César Teixeira, Hugo Gonçalo Oliveira)....Pages 336-348 Intelligent Control of an Exoskeleton for Rehabilitation Purposes Using a ROS-Based Software Architecture (Nieves Pavón-Pulido, Juan Antonio López-Riquelme, Jorge J. Feliú-Batlle)....Pages 349-360 Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in CT Images (Joana Rocha, António Cunha, Ana Maria Mendonça)....Pages 361-371 Intelligent Virtual Assistant for Promoting Behaviour Change in Older People with T2D (João Balsa, Pedro Neves, Isa Félix, Mara Pereira Guerreiro, Pedro Alves, Maria Beatriz Carmo et al.)....Pages 372-383 Towards to Use Image Mining to Classified Skin Problems - A Melanoma Case Study (Pamela Coelho, Claudio Goncalves, Filipe Portela, Manuel Filipe Santos)....Pages 384-395 Front Matter ....Pages 397-397 Regulating Blockchain Smart Contracts with Agent-Based Markets (Thiago R. P. M. Rúbio, Zafeiris Kokkinogenis, Henrique Lopes Cardoso, Rosaldo J. F. Rossetti, Eugénio Oliveira)....Pages 399-411 Machine Learning Methods for Radar-Based People Detection and Tracking (José Castanheira, Francisco Curado, Ana Tomé, Edgar Gonçalves)....Pages 412-423 Front Matter ....Pages 425-425 Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis (Fabian Heymann, Filipe Joel Soares, Pablo Duenas, Vladimiro Miranda)....Pages 427-437 Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management (Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João Soares, Tiago Pinto, Zita Vale)....Pages 438-449 A Fuzzy System Applied to Photovoltaic Generator Management Aimed to Reduce Electricity Bill (Marcos Sousa, Filipe Saraiva)....Pages 450-461 Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings (Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita Vale)....Pages 462-468 Smart Home Appliances Usage Recommendation Using Multi-objective Optimization (Allan Feitosa, Henrique Lacerda, Abel Silva-Filho)....Pages 469-481 Hyper-parameter Optimization of Multi-attention Recurrent Neural Network for Battery State-of-Charge Forecasting (Aleksei Mashlakov, Ville Tikka, Lasse Lensu, Aleksei Romanenko, Samuli Honkapuro)....Pages 482-494 Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design (Leonardo Goliatt, Priscila V. Z. Capriles, Gisele Goulart Tavares)....Pages 495-506 Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep Learning (Luciana Conceição Dias Campos, Leonardo Goliatt da Fonseca, Tales Lima Fonseca, Gabriel Dias de Abreu, Letícia Florentino Pires, Yulia Gorodetskaya)....Pages 507-518 Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations (Tiago Pinto, Zita Vale)....Pages 519-531 Fair Remuneration of Energy Consumption Flexibility Using Shapley Value (Ricardo Faia, Tiago Pinto, Zita Vale)....Pages 532-544 Front Matter ....Pages 545-545 VDS Data-Based Deep Learning Approach for Traffic Forecasting Using LSTM Network (Hongsuk Yi, Khac-Hoai Nam Bui)....Pages 547-558 A Reinforcement Learning Approach to Smart Lane Changes of Self-driving Cars (Fangmin Ye, Long Wang, Yibing Wang, Jingqiu Guo, Ioannis Papamichail, Markos Papageorgiou)....Pages 559-571 LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory (Neema Davis, Gaurav Raina, Krishna Jagannathan)....Pages 572-583 Neural Network Based Large Neighborhood Search Algorithm for Ride Hailing Services (Arslan Ali Syed, Karim Akhnoukh, Bernd Kaltenhaeuser, Klaus Bogenberger)....Pages 584-595 Predicting Air Compressor Failures Using Long Short Term Memory Networks (Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk)....Pages 596-609 Travel Demand Forecasting: An Evolutionary Learning Approach (Chaima Ahlem Karima Djellab, Walid Chaker, Henda Hajjami Ben Ghezala)....Pages 610-622 Camera Calibration for CNN Based Generic Obstacle Detection (Radu Danescu, Razvan Itu)....Pages 623-636 Counting Cars from Aerial Videos Using Deep Learning (Caio H. S. Polidoro, Wellington V. M. de Castro, José Marcato, Geison Salgado Filho, Edson T. Matsubara)....Pages 637-649 How the Quality of Call Detail Records Influences the Detection of Commuting Trips (Joel Pires, Aldina Piedade, Marco Veloso, Santi Phithakkitnukoon, Zbigniew Smoreda, Carlos Bento)....Pages 650-662 Warranty Claim Rate Prediction Using Logged Vehicle Data (Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk)....Pages 663-674 Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning (David Faial, Flavia Bernardini, Leandro Miranda, José Viterbo)....Pages 675-684 Predicting the Impact of Text-Reading Using Decision Trees (Eftihia G. Nathanail, Panos D. Prevedouros, Md. Mintu Miah, Rafaela De Melo Barros)....Pages 685-696 Front Matter ....Pages 697-697 Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making (Palina Bartashevich, Sanaz Mostaghim)....Pages 699-711 Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration (Mário Serra Neto, Marco Mollinetti, Vladimiro Miranda, Leonel Carvalho)....Pages 712-723 Interval Differential Evolution Using Structural Information of Global Optimization Problems (Mariane R. Sponchiado Cassenote, Guilherme A. Derenievicz, Fabiano Silva)....Pages 724-736 Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm (Gean Trindade Pereira, Paulo H. R. Gabriel, Ricardo Cerri)....Pages 737-749 A Comparison of Genetic Algorithms and Particle Swarm Optimization to Estimate Cluster-Based Kriging Parameters (Carlos Yasojima, Tiago Araújo, Bianchi Meiguins, Nelson Neto, Jefferson Morais)....Pages 750-761 A 3-Step Cartesian Genetic Programming for Designing Combinational Logic Circuits with Multiplexers (José Eduardo Henriques da Silva, Heder Soares Bernardino)....Pages 762-774 Extending Local Search in Geometric Semantic Genetic Programming (Mauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta)....Pages 775-787 Back Matter ....Pages 789-793 This book constitutes the refereed proceedings of the 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, held in Angra do Heroísmo, Azores, Portugal, in September 2013. The 45 revised full papers presented were carefully reviewed and selected from a total of 157 submissions. The papers are organized in the following topical sections: ambient intelligence and affective environments; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; computational methods in bioinformatics and systems biology; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; social simulation and modeling; and text mining and applications.
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