Important Dates

Journal track paper:
submit now, max Apr 1, 2017

Paper submission (TT):
Apr 15, 2017 May 1, 2017

Paper acceptance (TT):
May 31, 2017

Jun 15, 2017

Doctoral Symposium & BAAI session:
Paper submission: Jun 15, 2017
Paper acceptance: Jul 15, 2017
Camera-ready: Jul 25, 2017

Discovery Challenge:
Predictions: Jun 1, 2017
Papers: Jul 8, 2017 Jul 31, 2017

Geometry Friends:
Aug 8, 2017

Sep 5-8, 2017



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

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