Table of Contents

• A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian UniversitiesDiego de Castro Rodrigues, Márcio Dias de Lima, Marcos Dias da Conceição, Vilson Soares de Siqueira, Rommel M. Barbosa. 3-14 [doi]
• Between Clones and Snow-Flakes: Personalization in Intelligent Tutoring SystemsFrancisco Azeiteiro, Manuel Lopes 0001. 15-26 [doi]
• Student Attention Evaluation System Using Machine Learning for Decision MakingDalila Durães. 27-34 [doi]
• Combining Sentiment Analysis Scores to Improve Accuracy of Polarity Classification in MOOC PostsHerbert Laroca Pinto, Vitor Rocio. 35-46 [doi]
• Reinforcement Learning in Multi-agent Games: Open AI Gym Diplomacy EnvironmentDiogo Cruz, José Aleixo Cruz, Henrique Lopes Cardoso. 49-60 [doi]
• Voxel Based Pathfinding with Jumping for GamesGabriel Silva, Gustavo Reis, Carlos Grilo. 61-72 [doi]
• A Reliable Information Acquisition Model for D&D PlayersJoão Gabriel Gama Vila Nova, Marcos Vinícius Carneiro Vital, Roberta Vilhena Vieira Lopes. 73-85 [doi]
• Solving Motion and Action Planning for a Cooperative Agent Problem Using Geometry FriendsAna Salta, Rui Prada, Francisco S. Melo. 86-97 [doi]
• Spatio-Temporal Attention Deep Recurrent Q-Network for POMDPsMariano Etchart, Pawel Ladosz, David Mulvaney. 98-105 [doi]
• Vineyard Segmentation from Satellite Imagery Using Machine LearningLuís Santos, Filipe N. Santos, Vitor Filipe, Pranjali Shinde. 109-120 [doi]
• Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based SensorPedro Moura, Daniela Ribeiro, Filipe Neves dos Santos, Alberto Gomes, Ricardo Baptista, Mario Cunha. 121-133 [doi]
• An Image-Based Deep Learning Model for Cannabis Diseases, Nutrient Deficiencies and Pests IdentificationKonstantinos P. Ferentinos, Myrto Barda, Dave Damer. 134-145 [doi]
• Detection of Tomato Flowers from Greenhouse Images Using Colorspace TransformationsManya Afonso, Angelo Mencarelli, Gerrit Polder, Ron Wehrens, Dick Lensink, Nanne Faber. 146-155 [doi]
• Metbots: Metabolomics Robots for Precision ViticultureR. C. Martins, S. Magalhães, P. Jorge, T. Barroso, F. Santos. 156-166 [doi]
• Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short ReviewJorge Miguel Ferreira da Silva Mendes, Paulo Moura Oliveira, Filipe Neves dos Santos, Raul Morais dos Santos. 167-179 [doi]
• On KNoT Meta-Platform for IoT-Based Control of Storage GrainsJoão Gabriel Quaresma de Almeida, Josenalde B. Oliveira, José Boaventura Cunha. 180-185 [doi]
• Grapevine Varieties Classification Using Machine LearningPedro Marques 0002, Luís Pádua, Telmo Adão, Jonás Hruska, José Sousa, Emanuel Peres, Joaquim João Sousa, Raul Morais, António M. R. Sousa. 186-199 [doi]
• Cyberphysical Network for Crop Monitoring and Fertigation ControlJoão Paulo Coelho, Higor Vendramini Rosse, José Boaventura Cunha, Tatiana M. Pinho. 200-211 [doi]
• Soil Classification Based on Physical and Chemical Properties Using Random ForestsDidier Dias, Bruno Martins, João Pires, Luís M. de Sousa, Jacinto Estima, Carlos Viegas Damásio. 212-223 [doi]
• Low-Cost IoT LoRa®Solutions for Precision Agriculture Monitoring PracticesNuno Silva, Jorge Mendes 0003, Renato Silva, Filipe Neves dos Santos, Pedro Mestre, Carlos Serôdio, Raul Morais. 224-235 [doi]
• A Low-Cost System to Estimate Leaf Area Index Combining Stereo Images and Normalized Difference Vegetation IndexJorge Miguel Ferreira da Silva Mendes, Vítor Manuel Filipe, Filipe Neves dos Santos, Raul Morais dos Santos. 236-247 [doi]
• Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial VehicleLuís Pádua, Nathalie Guimarães, Telmo Adão, Pedro Marques 0002, Emanuel Peres, António M. R. Sousa, Joaquim João Sousa. 248-257 [doi]
• Digital Ampelographer: A CNN Based Preliminary ApproachTelmo Adão, Tatiana M. Pinho, António Ferreira, António M. R. Sousa, Luís Pádua, José Sousa, Joaquim João Sousa, Emanuel Peres, Raul Morais. 258-271 [doi]
• Learning from Monkeys: Authorship Issues Arising from AI TechnologyJacopo Ciani. 275-286 [doi]
• Legal Implications of Autonomous Vehicles: What We Know So Far and What's Left to Work OnBeatriz Assunção Ribeiro, Hélder Coelho, Ana Elisabete Ferreira, Jorge Branquinho. 287-298 [doi]
• The Role of Artificial Intelligence in the European e-Justice Paradigm - Suiting Effective Judicial Protection DemandsJoana Covelo Abreu. 299-308 [doi]
• Heart Sounds Classification Using Images from Wavelet TransformationDiogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira, Alípio M. Jorge, Luis Antunes 0001. 311-322 [doi]
• A Multi-modal Deep Learning Method for Classifying Chest Radiology ExamsNelson Nunes, Bruno Martins 0001, Nuno André da Silva, Francisca Leite, Mário J. Silva. 323-335 [doi]
• Named Entity Recognition in Portuguese Neurology Text Using CRFFábio Lopes, César Teixeira, Hugo Gonçalo Oliveira. 336-348 [doi]
• Intelligent Control of an Exoskeleton for Rehabilitation Purposes Using a ROS-Based Software ArchitectureNieves Pavón Pulido, Juan Antonio López-Riquelme, Jorge Feliú Batlle. 349-360 [doi]
• Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in CT ImagesJoana Rocha, António Cunha, Ana Maria Mendonça. 361-371 [doi]
• Intelligent Virtual Assistant for Promoting Behaviour Change in Older People with T2DJoão Balsa, Pedro Neves, Isa Brito Félix, Mara Pereira Guerreiro, Pedro Alves, Maria Beatriz Carmo, Diogo Marques, António Dias, Adriana Henriques, Ana Paula Cláudio. 372-383 [doi]
• Towards to Use Image Mining to Classified Skin Problems - A Melanoma Case StudyPamela Coelho, João M. C. Gonçalves, Filipe Portela, Manuel Filipe Santos. 384-395 [doi]
• Regulating Blockchain Smart Contracts with Agent-Based MarketsThiago R. P. M. Rúbio, Zafeiris Kokkinogenis, Henrique Lopes Cardoso, Rosaldo J. F. Rossetti, Eugénio Oliveira. 399-411 [doi]
• Machine Learning Methods for Radar-Based People Detection and TrackingJosé Castanheira, Francisco Curado, Ana Tomé, Edgar Gonçalves. 412-423 [doi]
• Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design AnalysisFabian Heymann, Filipe Joel Soares, Pablo Duenas, Vladimiro Miranda. 427-437 [doi]
• Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource ManagementFernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale. 438-449 [doi]
• A Fuzzy System Applied to Photovoltaic Generator Management Aimed to Reduce Electricity BillMarcos Sousa, Filipe Saraiva. 450-461 [doi]
• Demonstration of an Energy Consumption Forecasting System for Energy Management in BuildingsAria Jozi, Daniel Ramos, Luis Gomes 0001, Pedro Faria, Tiago Pinto, Zita A. Vale. 462-468 [doi]
• Smart Home Appliances Usage Recommendation Using Multi-objective OptimizationAllan R. S. Feitosa, Henrique F. Lacerda, Abel G. Silva-Filho. 469-481 [doi]
• Hyper-parameter Optimization of Multi-attention Recurrent Neural Network for Battery State-of-Charge ForecastingAleksei Mashlakov, Ville Tikka, Lasse Lensu, Aleksei Romanenko, Samuli Honkapuro. 482-494 [doi]
• Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building DesignLeonardo Goliatt, Priscila V. Z. Capriles, Gisele Goulart Tavares. 495-506 [doi]
• Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep LearningLuciana Conceição Dias Campos, Leonardo Goliatt da Fonseca, Tales L. Fonseca, Gabriel Dias de Abreu, Letícia Florentino Pires, Yulia Gorodetskaya. 507-518 [doi]
• Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral NegotiationsTiago Pinto, Zita A. Vale. 519-531 [doi]
• Fair Remuneration of Energy Consumption Flexibility Using Shapley ValueRicardo Faia, Tiago Pinto, Zita A. Vale. 532-544 [doi]
• VDS Data-Based Deep Learning Approach for Traffic Forecasting Using LSTM NetworkHongsuk Yi, Khac-Hoai Nam Bui. 547-558 [doi]
• A Reinforcement Learning Approach to Smart Lane Changes of Self-driving CarsFangmin Ye, Long Wang, Yibing Wang, Jingqiu Guo, Ioannis Papamichail, Markos Papageorgiou. 559-571 [doi]
• LSTM-Based Anomaly Detection: Detection Rules from Extreme Value TheoryNeema Davis, Gaurav Raina, Krishna P. Jagannathan. 572-583 [doi]
• Neural Network Based Large Neighborhood Search Algorithm for Ride Hailing ServicesSyed Arslan Ali, Karim Akhnoukh, Bernd Kaltenhaeuser, Klaus Bogenberger. 584-595 [doi]
• Predicting Air Compressor Failures Using Long Short Term Memory NetworksKunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk. 596-609 [doi]
• Travel Demand Forecasting: An Evolutionary Learning ApproachChaima Ahlem Karima Djellab, Walid Chaker, Henda Hajjami Ben Ghézala. 610-622 [doi]
• Camera Calibration for CNN Based Generic Obstacle DetectionRadu Danescu, Razvan Itu. 623-636 [doi]
• Counting Cars from Aerial Videos Using Deep LearningCaio H. S. Polidoro, Wellington V. M. de Castro, José Marcato, Geison Salgado Filho, Edson T. Matsubara. 637-649 [doi]
• How the Quality of Call Detail Records Influences the Detection of Commuting TripsJoel Pires, Aldina Piedade, Marco Veloso, Santi Phithakkitnukoon, Zbigniew Smoreda, Carlos Bento. 650-662 [doi]
• Warranty Claim Rate Prediction Using Logged Vehicle DataReza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk. 663-674 [doi]
• Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised LearningDavid Faial, Flávia Cristina Bernardini, Leandro Miranda, José Viterbo. 675-684 [doi]
• Predicting the Impact of Text-Reading Using Decision TreesEftihia G. Nathanail, Panos D. Prevedouros, Md. Mintu Miah, Rafaela De Melo Barros. 685-696 [doi]
• Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-MakingPalina Bartashevich, Sanaz Mostaghim. 699-711 [doi]
• Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization ExplorationMario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Vladimiro Miranda, Leonel M. Carvalho. 712-723 [doi]
• Interval Differential Evolution Using Structural Information of Global Optimization ProblemsMariane R. Sponchiado Cassenote, Guilherme Alex Derenievicz, Fabiano Silva. 724-736 [doi]
• Hierarchical Classification of Transposable Elements with a Weighted Genetic AlgorithmGean Trindade Pereira, Paulo. H. R. Gabriel, Ricardo Cerri. 737-749 [doi]
• A Comparison of Genetic Algorithms and Particle Swarm Optimization to Estimate Cluster-Based Kriging ParametersCarlos Yasojima, Tiago Araújo, Bianchi Serique Meiguins, Nelson Neto, Jefferson Morais. 750-761 [doi]
• A 3-Step Cartesian Genetic Programming for Designing Combinational Logic Circuits with MultiplexersJosé Eduardo Henriques da Silva, Heder Soares Bernardino. 762-774 [doi]
• Extending Local Search in Geometric Semantic Genetic ProgrammingMauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta. 775-787 [doi]