The technical program of EPIA 2017 will feature a set of thematic tracks, covering a wide spectrum of AI topics.
Accepted papers are published in Springer’s Lecture Notes in Artificial Intelligence, Vol. 10423
Thematic Tracks
- ABM4Crime – Agent-Based Modelling for Criminological Research
- AICPDES – Artificial Intelligence in Cyber-Physical and Distributed Embedded Systems
- AIG – Artificial Intelligence in Games
- AIM – Artificial Intelligence in Medicine
- 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
- CoSTA – Computation Sustainability, Technologies and Applications
- IROBOT – Intelligent Robotics
- KDBI – Knowledge Discovery and Business Intelligence
- KRR – Knowledge Representation and Reasoning
- MASTA – Multi-Agent Systems: Theory and Applications
- SE4AIS – Software Engineering for Autonomous and Intelligent Systems
- SSM – Social Simulation and Modelling
- TeMA – Text Mining and Applications
Accepted papers
ABM4Crime – Agent-Based Modelling for Criminological Research
An Agent-Based Aggression De-escalation Training Application for Football Referees Tibor Bosse |
Agents shaping networks shaping agents. Integrating social network analysis and agent-based modeling in computational crime research Nicola Lettieri, Delfina Malandrino, Antonio Altamura and Valentina Punzo |
An Agent-based Model Predicting Group Emotion and Misbehaviours in Stranded Passengers Lenin Medeiros and Natalie van der Wal |
Towards Understanding the Impact of Crime in a Choice of a Route by a Bus Passenger Daniel Sullivan, Carlos Caminha, Hygor P. M. Melo and Vasco Furtado |
Exploring Anti-poaching Strategies for Wildlife Crime With a Simple and General Agent-based Model Nick van Doormaal |
AmIA – Ambient Intelligence and Affective Environments
A SOA Web-based Group Decision Support System Considering Affective Aspects Luís Conceição, Joao Carneiro, Goreti Marreiros and Paulo Novais |
Monitoring the progress of programming students supported by a digital teaching assistant Nuno Gil Fonseca, Luis Macedo and António José Mendes |
Image matching algorithm based on hashes extraction Alberto Rivas, Pablo Chamoso, Javier J. Limorti, Sara Rodríguez and Fernando de La Prieta |
Unsupervised Stress Detection Algorithm and Experiments with Real Life Data Elena Vildjiounaite, Johanna Kallio, Vesa Kyllönen, Mikko Lindholm, Jani Mantyarvi and Georgy Gimel’Farb |
AIG – Artificial Intelligence in Games
Iterative Parallel Sampling RRT for Racing Car Simulation Samuel Gomes, João Dias and Carlos Martinho |
Multi-agent Double Deep Q-Networks David Simoes, Nuno Lau and Luis Paulo Reis |
AIM – Artificial Intelligence in Medicine
A Deep Learning Method for ICD-10 Coding of Free-Text Death Certificates Francisco Duarte, Bruno Martins, Cátia S. Pinto and Mário J. Silva |
Robot Programming Through Whole-Body Interaction Marta Ferraz |
Wheeze Detection Using Convolutional Neural Networks Kirill Kochetov, Evgeny Putin, Svyatoslav Azizov, Ilya Skorobogatov and Andrey Filchenkov |
Multiclassifier System Using Class and Interclass Competence of Base Classifiers Applied to the Recognition of Grasping Movements in the Control of Bioprosthetic Hand Marek Kurzynski |
Classifying Heart Sounds using Images of MFCC and Temporal Features Diogo Marcelo Nogueira, Carlos Abreu Ferreira and Alípio M. Jorge |
Discovering Interesting Associations in Gestation Course Data Inna Skarga-Bandurova, Tetiana Biloborodova and Maksym Nesterov |
AIPES – Artificial Intelligence in Power and Energy Systems
Severity Estimation of Stator Winding Short-Circuit Faults using Cubist Tiago Dos Santos, Fernando J. T. E. Ferreira, João Moura Pires and Carlos Viegas Damásio |
Estimating energy consumption in Evolutionary Algorithms by means of FRBS. Towards Energy-Aware Bioinspired Algorithms Josefa Díaz Álvarez, Francisco Chávez de La O, Juan Ángel García Martínez, Pedro Ángel Castillo Valdivieso and Francisco Fernández de Vega |
Application of Robust Optimization Technique to the Energy Planning Problem Saulo Ferreira, Jerson Carvalho, Leonardo de Oliveira, Taís Araújo, Edimar de Oliveira and Marina de Souza |
EnAPlug – An Environmental Awareness Plug to Test Energy Management Solutions for Households Luis Gomes, Filipe Sousa and Zita Vale |
Flower Pollination Algorithm Applied to the Dispatch Economic Problem with Multiple Fuels and Valve Point Effect Rafael Ochsendorf, Ivo Chaves Da Silva Junior, Ezequiel Silva, André Luís Marques Marcato and Marcos Tadeu de Oliveira |
Dynamic and Static Transmission Network Expansion Planning via Harmony Search and Branch & Bound on a Hybrid Algorithm Luiz Eduardo Oliveira, Francisco Damasceno Freitas, Ivo Silva Junior and Phillipe Vilaça Gomes |
Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM Gabriel Santos, Tiago Pinto, Isabel Praça and Zita Vale |
Electricity rate planning for the current consumer market scenario through segmentation of consumption time series Alfredo Vellido and David L. García |
AITS – Artificial Intelligence in Transportation Systems
Towards Dynamic Rebalancing of Bike Sharing Systems: An Event-Driven Agents Approach Jeremias Dötterl, Ralf Bruns, Jürgen Dunkel and Sascha Ossowski |
Mobility Mining using Nonnegative Tensor Factorization Hamid Eslami Nosratabadi, Hadi Fanaee-T and Joao Gama |
Machine learning for pavement friction prediction using scikit-learn Pedro Marcelino, Maria De Lurdes Antunes, Eduardo Fortunato and Marta Castilho Gomes |
Optimising cyclic timetables with a SAT approach Gonçalo P. Matos, Luís Albino, Ricardo L. Saldanha and Ernesto M. Morgado |
Transportation in Social Media: an automatic classifier for travel-related tweets João Pereira, Arian Pasquali, Pedro Saleiro and Rosaldo Rossetti |
ALEA – Artificial Life and Evolutionary Algorithms
A Meta-Genetic Algorithm for Hybridizing Metaheuristics Ahmed Hassan and Nelishia Pillay |
Econometric Genetic Programming in Binary Classification: Evolving Logistic Regressions through Genetic Programming André Novaes, Ricardo Tanscheit and Douglas Dias |
GAVGA, A Genetic Algorithm for Viral Genome Assembly Renato Oliveira, Filipe Damasceno, Ronald Souza, Reginaldo Santos, Manoel Lima, Regiane Kawasaki and Claudomiro Sales |
Cartesian Genetic Programming in an Open-Ended Evolution Environment António Simões, Tiago Baptista and Ernesto Costa |
A Genetic Algorithm Approach for Static Routing and Wavelength Assignment in All-Optical WDM Networks Diego Teixeira, Cassio Batista, Afonso Cardoso and Josivaldo Araújo |
BAAI – Business Applications of Artificial Intelligence
A Recommender Model of Teaching-learning Techniques Dulce Mota, Luis Paulo Reis and Carlos Vaz de Carvalho |
Credit Scoring in Microfinance Using Non-Traditional Data Saulo Ruiz, Pedro Gomes, Luis Rodrigues and João Gama |
IROBOT – Intelligent Robotics
Approach for supervising self-localization processes in mobile robots Paulo Farias, Ivo Sousa, António Paulo Moreira and Héber Sobreira |
Autonomous Interactive Object Manipulation and Navigation Capabilities for an Intelligent Wheelchair Nima Shafii, Paulo Farias, Ivo Sousa, Heber Sobreira, Luis Paulo Reis and Antonio P. Moreira |
Feedbot – a robotic arm for autonomous assisted feeding Catarina Silva, Manuela Veloso, Manuel Marques and João Paulo Costeira |
Improving and Benchmarking Motion Planning for a Mobile Manipulator Operating in Unstructured Environments Andrea Tudico, Nuno Lau, Eurico Pedrosa, Filipe Amaral, Claudio Mazzotti and Marco Carricato |
KDBI – Knowledge Discovery and Business Intelligence
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems Paula Branco, Luis Torgo and Rita P. Ribeiro |
A Feature Selection Algorithm Based on Heuristic Decomposition Luís Cavique, Armando B. Mendes and Hugo F.M.C. Martiniano |
Mining Rational Team Concert Repositories: A Case Study on a Software Project Pedro Cunha, André Ferreira and Paulo Cortez |
Predictive Teaching and Learning Cristiano Galafassi, Fabiane Flores Penteado Galafassi and Rosa Vicari |
Multi-objective Learning of Neural Network Time Series Prediction Intervals Pedro José Pereira, Paulo Cortez and Rui Mendes |
Toward a Token-Based Approach to Concern Detection in MATLAB Sources Miguel Pessoa Monteiro, Nuno C. Marques, Bruno Silva, Bruno Palma and João Cardoso |
Food Truck Recommendation Using Multi-label Classification Adriano Rivolli, Larissa Parker and Andre Carvalho |
Improving incremental recommenders with online bagging João Vinagre, Alipio M. Jorge and Joao Gama |
KRR – Knowledge Representation and Reasoning
Tableaux for Hybrid XPath with Data Carlos Areces, Raul Fervari and Nahuel Seiler |
On the Properties of Atom Definability and Well-Supportedness in Logic Programming Pedro Cabalar, Jorge Fandinno, Luis Farinas Del Cerro, David Pearce and Agustin Valverde |
haspie – A Musical Harmonisation Tool based on ASP Pedro Cabalar and Rodrigo Martín |
Iterative Variable Elimination in ASP Ricardo Gonçalves, Matthias Knorr and Joao Leite |
Logic-based Encodings for Ricochet Robots Filipe Gouveia, Pedro T. Monteiro, Vasco Manquinho and Ines Lynce |
An Achilles’ Heel of Term-Resolution Mikolas Janota and Joao Marques-Silva |
Horn Maximum Satisfiability: Reductions, Algorithms & Applications Joao Marques-Silva, Alexey Ignatiev and Antonio Morgado |
Not too Big, Not too Small…Complexities of Fixed-Domain Reasoning in First-Order and Description Logics Sebastian Rudolph and Lukas Schweizer |
Reactive Maintenance Policies over Equalized States in Dynamic Environments Zeynep G. Saribatur, Chitta Baral and Thomas Eiter |
MASTA – Multi-Agent Systems: Theory and Applications
Multi-Agent Based File Replication and Consistency Management Serkan Akdemir and Nadia Erdoğan |
Online Learning for Conversational Agents Vânia Mendonça, Francisco S. Melo, Luísa Coheur and Alberto Sardinha |
SSM – Social Simulation and Modelling
Simulating Behaviors of Children with Autism Spectrum Disorders Through Reversal of the Autism Diagnosis Process Kim Baraka, Francisco S. Melo and Manuela Veloso |
An Adaptive Simulation Tool for Evacuation Scenarios Daniel Formolo and Natalie Van Der Wal |
A Stochastic Approach of SIRC Model Using Individual-Based Epidemiological Models Arlindo Rodrigues Galvão Filho, Telma Woerle Lima, Anderson Soares and Clarimar Coelho |
Incorporating Learning into Decision Making in Agent Based Models Pia Ramchandani, Mark Paich and Anand Rao |
TeMA – Text Mining and Applications
The complementary nature of different NLP toolkits for Named Entity Recognition in social media Filipe Batista and Álvaro Figueira |
Aspect-based Opinion Mining in Drug Reviews Diana Cavalcanti and Ricardo Prudencio |
Unsupervised Approaches for Computing Word Similarity in Portuguese Hugo Gonçalo Oliveira |
Gradually Improving the Computation of Semantic Textual Similarity in Portuguese Hugo Gonçalo Oliveira, Ana Alves and Ricardo Rodrigues |
Towards a Mention-pair Model for Coreference Resolution in Portuguese Gil Rocha and Henrique Lopes Cardoso |
Recognizing Textual Entailment and Paraphrases in Portuguese Gil Rocha and Henrique Lopes Cardoso |
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects Pedro Saleiro, Luis Sarmento, Eduarda Mendes Rodrigues, Carlos Soares and Eugénio Oliveira |