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ORCID19th EPIA 2019: Vila Real, Portugal
- Paulo Moura Oliveira
, Paulo Novais, Luís Paulo Reis:
Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11804, Springer 2019, ISBN 978-3-030-30240-5
Artificial Intelligence in Education
- Diego de Castro Rodrigues, Márcio Dias de Lima, Marcos Dias da Conceição, Vilson Soares de Siqueira, Rommel M. Barbosa:
A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian Universities. 3-14 - Francisco Azeiteiro, Manuel Lopes:
Between Clones and Snow-Flakes: Personalization in Intelligent Tutoring Systems. 15-26 - Dalila Durães:
Student Attention Evaluation System Using Machine Learning for Decision Making. 27-34 - Herbert Laroca Pinto, Vítor Rocio:
Combining Sentiment Analysis Scores to Improve Accuracy of Polarity Classification in MOOC Posts. 35-46
Artificial Intelligence for Games
- Diogo Cruz, José Aleixo Cruz, Henrique Lopes Cardoso:
Reinforcement Learning in Multi-agent Games: Open AI Gym Diplomacy Environment. 49-60 - Gabriel Silva, Gustavo Reis, Carlos Grilo:
Voxel Based Pathfinding with Jumping for Games. 61-72 - João Gabriel Gama Vila Nova, Marcos Vinícius Carneiro Vital, Roberta Vilhena Vieira Lopes:
A Reliable Information Acquisition Model for D&D Players. 73-85 - Ana Salta, Rui Prada, Francisco S. Melo:
Solving Motion and Action Planning for a Cooperative Agent Problem Using Geometry Friends. 86-97 - Mariano Etchart, Pawel Ladosz, David Mulvaney:
Spatio-Temporal Attention Deep Recurrent Q-Network for POMDPs. 98-105
Artificial Intelligence and IoT in Agriculture
- Luís Santos, Filipe Neves dos Santos, Vítor Filipe, Pranjali Shinde:
Vineyard Segmentation from Satellite Imagery Using Machine Learning. 109-120 - Pedro Moura, Daniela Ribeiro, Filipe Neves dos Santos, Alberto Gomes, Ricardo Baptista, Mario Cunha:
Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor. 121-133 - Konstantinos P. Ferentinos, Myrto Barda, Dave Damer:
An Image-Based Deep Learning Model for Cannabis Diseases, Nutrient Deficiencies and Pests Identification. 134-145 - Manya Afonso, Angelo Mencarelli, Gerrit Polder, Ron Wehrens, Dick Lensink, Nanne Faber:
Detection of Tomato Flowers from Greenhouse Images Using Colorspace Transformations. 146-155 - Rui Costa Martins, Sandro Magalhães, Pedro A. S. Jorge, Teresa Barroso, Filipe Neves dos Santos:
Metbots: Metabolomics Robots for Precision Viticulture. 156-166 - Jorge Miguel Ferreira da Silva Mendes, Paulo Moura Oliveira, Filipe Neves dos Santos, Raul Morais dos Santos:
Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review. 167-179 - João Gabriel Quaresma de Almeida, Josenalde B. Oliveira, José Boaventura Cunha:
On KNoT Meta-Platform for IoT-Based Control of Storage Grains. 180-185 - Pedro Marques, Luís Pádua, Telmo Adão, Jonás Hruska, José Sousa, Emanuel Peres, Joaquim João Sousa, Raul Morais, António M. R. Sousa:
Grapevine Varieties Classification Using Machine Learning. 186-199 - João Paulo Coelho, Higor Vendramini Rosse, José Boaventura Cunha, Tatiana M. Pinho:
Cyberphysical Network for Crop Monitoring and Fertigation Control. 200-211 - Didier Dias, Bruno Martins, João Moura Pires, Luís Moreira de Sousa, Jacinto Estima, Carlos Viegas Damásio:
Soil Classification Based on Physical and Chemical Properties Using Random Forests. 212-223 - Nuno Silva, Jorge Mendes, Renato Silva, Filipe Neves dos Santos, Pedro Mestre, Carlos Serôdio, Raul Morais:
Low-Cost IoT LoRa®Solutions for Precision Agriculture Monitoring Practices. 224-235 - Jorge Miguel Ferreira da Silva Mendes, Vítor Manuel Filipe, Filipe Neves dos Santos, Raul Morais dos Santos:
A Low-Cost System to Estimate Leaf Area Index Combining Stereo Images and Normalized Difference Vegetation Index. 236-247 - Luís Pádua, Nathalie Guimarães, Telmo Adão, Pedro Marques, Emanuel Peres, António M. R. Sousa, Joaquim João Sousa:
Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle. 248-257 - Telmo Adão, Tatiana M. Pinho, António Ferreira, António M. R. Sousa, Luís Pádua, José Sousa, Joaquim João Sousa, Emanuel Peres, Raul Morais:
Digital Ampelographer: A CNN Based Preliminary Approach. 258-271
Artificial Intelligence and Law
- Jacopo Ciani:
Learning from Monkeys: Authorship Issues Arising from AI Technology. 275-286 - Beatriz Assunção Ribeiro, Hélder Coelho, Ana Elisabete Ferreira, Jorge Branquinho:
Legal Implications of Autonomous Vehicles: What We Know So Far and What's Left to Work On. 287-298 - Joana Covelo Abreu:
The Role of Artificial Intelligence in the European e-Justice Paradigm - Suiting Effective Judicial Protection Demands. 299-308
Artificial Intelligence in Medicine
- Diogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira, Alípio M. Jorge, Luis Antunes:
Heart Sounds Classification Using Images from Wavelet Transformation. 311-322 - Nelson Nunes, Bruno Martins, Nuno André da Silva, Francisca Pais Leite, Mário J. Silva:
A Multi-modal Deep Learning Method for Classifying Chest Radiology Exams. 323-335 - Fábio Lopes, César Teixeira, Hugo Gonçalo Oliveira:
Named Entity Recognition in Portuguese Neurology Text Using CRF. 336-348 - Nieves Pavón Pulido, Juan Antonio López-Riquelme, Jorge Feliú Batlle:
Intelligent Control of an Exoskeleton for Rehabilitation Purposes Using a ROS-Based Software Architecture. 349-360 - Joana Rocha, António Cunha, Ana Maria Mendonça:
Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in CT Images. 361-371 - João Balsa, Pedro Neves, Isa Brito Félix, Mara Pereira Guerreiro, Pedro Alves, Maria Beatriz Carmo, Diogo Marques, António Dias, Adriana Henriques, Ana Paula Cláudio:
Intelligent Virtual Assistant for Promoting Behaviour Change in Older People with T2D. 372-383 - Pamela Coelho, João M. C. Gonçalves, Filipe Portela, Manuel Filipe Santos:
Towards to Use Image Mining to Classified Skin Problems - A Melanoma Case Study. 384-395
Artificial Intelligence in Cyber-Physical and Distributed Embedded Systems
- Thiago R. P. M. Rúbio, Zafeiris Kokkinogenis, Henrique Lopes Cardoso, Rosaldo J. F. Rossetti, Eugénio Oliveira:
Regulating Blockchain Smart Contracts with Agent-Based Markets. 399-411 - José Castanheira, Francisco Curado, Ana Maria Tomé, Edgar S. Gonçalves:
Machine Learning Methods for Radar-Based People Detection and Tracking. 412-423
Artificial Intelligence in Power and Energy Systems
- Fabian Heymann, Filipe Joel Soares, Pablo Duenas, Vladimiro Miranda:
Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis. 427-437 - Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale:
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. 438-449 - Marcos Sousa, Filipe Saraiva:
A Fuzzy System Applied to Photovoltaic Generator Management Aimed to Reduce Electricity Bill. 450-461 - Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita A. Vale:
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings. 462-468 - Allan R. S. Feitosa, Henrique F. Lacerda, Abel G. Silva-Filho:
Smart Home Appliances Usage Recommendation Using Multi-objective Optimization. 469-481 - Aleksei Mashlakov, Ville Tikka, Lasse Lensu, Aleksei Romanenko, Samuli Honkapuro:
Hyper-parameter Optimization of Multi-attention Recurrent Neural Network for Battery State-of-Charge Forecasting. 482-494 - Leonardo Goliatt, Priscila V. S. Z. Capriles, Gisele Goulart Tavares:
Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design. 495-506 - Luciana Conceição Dias Campos, Leonardo Goliatt da Fonseca, Tales L. Fonseca, Gabriel Dias de Abreu, Letícia Florentino Pires, Yulia Gorodetskaya:
Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep Learning. 507-518 - Tiago Pinto, Zita A. Vale:
Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations. 519-531 - Ricardo Faia, Tiago Pinto, Zita A. Vale:
Fair Remuneration of Energy Consumption Flexibility Using Shapley Value. 532-544
Artificial Intelligence in Transportation Systems
- Hongsuk Yi, Khac-Hoai Nam Bui:
VDS Data-Based Deep Learning Approach for Traffic Forecasting Using LSTM Network. 547-558 - Fangmin Ye, Long Wang, Yibing Wang, Jingqiu Guo, Ioannis Papamichail, Markos Papageorgiou:
A Reinforcement Learning Approach to Smart Lane Changes of Self-driving Cars. 559-571 - Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory. 572-583 - Arslan Ali Syed, Karim Akhnoukh, Bernd Kaltenhaeuser, Klaus Bogenberger:
Neural Network Based Large Neighborhood Search Algorithm for Ride Hailing Services. 584-595 - Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk:
Predicting Air Compressor Failures Using Long Short Term Memory Networks. 596-609 - Chaima Ahlem Karima Djellab, Walid Chaker, Henda Hajjami Ben Ghézala:
Travel Demand Forecasting: An Evolutionary Learning Approach. 610-622 - Radu Danescu, Razvan Itu:
Camera Calibration for CNN Based Generic Obstacle Detection. 623-636 - Caio H. S. Polidoro, Wellington V. M. de Castro, José Marcato Junior, Geison Salgado Filho, Edson Takashi Matsubara:
Counting Cars from Aerial Videos Using Deep Learning. 637-649 - Joel Pires, Aldina Piedade, Marco Veloso, Santi Phithakkitnukoon, Zbigniew Smoreda, Carlos Bento:
How the Quality of Call Detail Records Influences the Detection of Commuting Trips. 650-662 - Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk:
Warranty Claim Rate Prediction Using Logged Vehicle Data. 663-674 - David Faial, Flávia Cristina Bernardini, Leandro Miranda, José Viterbo:
Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning. 675-684 - Eftihia G. Nathanail, Panos D. Prevedouros, Md. Mintu Miah, Rafaela De Melo Barros:
Predicting the Impact of Text-Reading Using Decision Trees. 685-696
Artificial Life and Evolutionary Algorithms
- Palina Bartashevich, Sanaz Mostaghim:
Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making. 699-711 - Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Vladimiro Miranda, Leonel M. Carvalho:
Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration. 712-723 - Mariane R. Sponchiado Cassenote, Guilherme Alex Derenievicz, Fabiano Silva:
Interval Differential Evolution Using Structural Information of Global Optimization Problems. 724-736 - Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri:
Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm. 737-749 - Carlos Yasojima, Tiago Davi Oliveira de Araújo, Bianchi Serique Meiguins, Nelson Neto, Jefferson Morais:
A Comparison of Genetic Algorithms and Particle Swarm Optimization to Estimate Cluster-Based Kriging Parameters. 750-761 - José Eduardo Henriques da Silva, Heder Soares Bernardino:
A 3-Step Cartesian Genetic Programming for Designing Combinational Logic Circuits with Multiplexers. 762-774 - Mauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta:
Extending Local Search in Geometric Semantic Genetic Programming. 775-787
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