A Label Propagation Approach for Missing Data Imputation - Filipe Loyola Lopes; Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Henriques Abreu; Ana Carolina Lorena (IEEE Access, 2025)

Guidelines for designing visualization tools for group fairness analysis in binary classification - António Cruz; Teresa Salazar; Manuel Carvalho; Catarina Maçãs; Penousal Machado; Pedro Henriques Abreu (Artif. Intell. Rev., 2025)

Reparameterization convolutional neural networks for handling imbalanced datasets in solar panel fault classification - Jielong Guo; Chak Fong Chong; Pedro Henriques Abreu; Chao Mao; Jiaxuan Li; Chan-Tong Lam; Benjamin K. Ng (Eng. Appl. Artif. Intell., 2025)

The Role of Deep Learning in Medical Image Inpainting: A Systematic Review - Joana Cristo Santos; Hugo Tomás Pereira Alexandre; Miriam Seoane Santos; Pedro Henriques Abreu (ACM Trans. Comput. Heal., 2025)

mdatagen: A python library for the artificial generation of missing data - Arthur Dantas Mangussi; Miriam Seoane Santos; Filipe Loyola Lopes; Ricardo Cardoso Pereira; Ana Carolina Lorena; Pedro Henriques Abreu (Neurocomputing, 2025)

Pycol: A Python package for dataset complexity measures - Diogo Apóstolo; Miriam Seoane Santos; Ana Carolina Lorena; Pedro Henriques Abreu (Neurocomputing, 2025)

Category-wise Fine-Tuning: Resisting incorrect pseudo-labels in multi-label image classification with partial labels - Chak Fong Chong; Xinyi Fang; Jielong Guo; Pedro Henriques Abreu; Yapeng Wang; Xu Yang; Wei Ke; Sio Kei Im (Neurocomputing, 2025)

A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis - Juan-Francisco Cabrera-Sánchez; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Esther-Lydia Silva-Ramírez (IEEE Access, 2024)

Imputation of data Missing Not at Random: Artificial generation and benchmark analysis - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues; Mário A. T. Figueiredo (Expert Syst. Appl., 2024)

Call for Papers: Data Generation in Healthcare Environments - Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Irina S. Moreira; Pedro Henriques Abreu (J. Biomed. Informatics, 2024)

Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (J. Comput. Sci., 2024)

Assessing Adversarial Effects of Noise in Missing Data Imputation - Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Ana Carolina Lorena (Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part I, 2024)

Reconstruction of Mammography Projections using Image-to-Image Translation Techniques - Joana Cristo Santos; Miriam Seoane Santos; Pedro Henriques Abreu (32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024, 2024)

Study the Capacity of Deep Learning Techniques Information Generalization Using Capsule Endoscopic Images - Ema Macedo; Helder Araújo; Pedro Henriques Abreu (Pattern Recognition. ICPR 2024 International Workshops and Challenges - Kolkata, India, December 1, 2024, Proceedings, Part V, 2024)

An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification - Joana Cristo Santos; Miriam Seoane Santos; Pedro Henriques Abreu (Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I, 2024)

Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems - Dylan Perdigão; Tiago Cruz; Paulo Simões; Pedro Henriques Abreu (NOMS 2024 IEEE Network Operations and Management Symposium, Seoul, Republic of Korea, May 6-10, 2024, 2024)

Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning - Teresa Salazar; João Gama; Helder Araújo; Pedro Henriques Abreu (CoRR, 2024)

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research - Teresa Salazar; Helder Araújo; Alberto Cano; Pedro Henriques Abreu (CoRR, 2024)

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences - Mara Graziani; Lidia Dutkiewicz; Davide Calvaresi; José Pereira Amorim; Katerina Yordanova; Mor Vered; Rahul Nair; Pedro Henriques Abreu; Tobias Blanke; Valeria Pulignano; John O. Prior; Lode Lauwaert; et al. (Artif. Intell. Rev., 2023)

A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research - Miriam Seoane Santos; Pedro Henriques Abreu; Nathalie Japkowicz; Alberto Fernández; João A. M. Santos (Inf. Fusion, 2023)

Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations - José Pereira Amorim; Pedro H. Abreu; João A. M. Santos; Marc Cortes; Victor Vila (Inf. Process. Manag., 2023)

Siamese Autoencoder-Based Approach for Missing Data Imputation - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, 2023)

Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation - Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Mário A. T. Figueiredo; Pedro Henriques Abreu (Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, 2023)

FAIR-FATE: Fair Federated Learning with Momentum - Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu (Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, 2023)

Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings - Albert Bifet; Ana Carolina Lorena; Rita P. Ribeiro; João Gama; Pedro H. Abreu (Springer, 2023)

Evaluating Post-hoc Interpretability with Intrinsic Interpretability - José Pereira Amorim; Pedro Henriques Abreu; João A. M. Santos; Henning Müller (CoRR, 2023)

On the joint-effect of class imbalance and overlap: a critical review - Miriam Seoane Santos; Pedro Henriques Abreu; Nathalie Japkowicz; Alberto Fernández; Carlos Soares; Szymon Wilk; João A. M. Santos (Artif. Intell. Rev., 2022)

The impact of heterogeneous distance functions on missing data imputation and classification performance - Miriam Seoane Santos; Pedro Henriques Abreu; Alberto Fernández; Julián Luengo; João A. M. Santos (Eng. Appl. Artif. Intell., 2022)

Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (IEEE J. Biomed. Health Informatics, 2022)

The identification of cancer lesions in mammography images with missing pixels: analysis of morphology - Joana Cristo Santos; Pedro Henriques Abreu; Miriam Seoane Santos (9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, 2022)

Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings - Mauricio Reyes; Pedro Henriques Abreu; Jaime S. Cardoso (Springer, 2022)

FAIR-FATE: Fair Federated Learning with Momentum - Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu (CoRR, 2022)

FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes - Teresa Salazar; Miriam Seoane Santos; Helder Araújo; Pedro Henriques Abreu (IEEE Access, 2021)

Using Brain Computer Interaction to Evaluate Problem Solving Abilities - Ana Rita Teixeira; Igor Rodrigues; Anabela Gomes; Pedro H. Abreu; Germán Rodríguez-Bermúdez (Augmented Cognition - 15th International Conference, AC 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, 2021)

Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings - Allan Tucker; Pedro Henriques Abreu; Jaime S. Cardoso; Pedro Pereira Rodrigues; David Riaño (Springer, 2021)

Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings - Pedro Henriques Abreu; Pedro Pereira Rodrigues; Alberto Fernández; João Gama (Springer, 2021)

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings - Mauricio Reyes; Pedro Henriques Abreu; Jaime S. Cardoso; Mustafa Hajij; Ghada Zamzmi; Rahul Paul; Lokendra Thakur (Springer, 2021)

Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review - Nuno Martins; José Magalhães Cruz; Tiago Cruz; Pedro Henriques Abreu (IEEE Access, 2020)

Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET - Inês Domingues; Gisèle Pereira; Pedro Martins; Hugo Duarte; João A. M. Santos; Pedro Henriques Abreu (Artif. Intell. Rev., 2020)

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes - Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu (J. Artif. Intell. Res., 2020)

How distance metrics influence missing data imputation with k-nearest neighbours - Miriam Seoane Santos; Pedro Henriques Abreu; Szymon Wilk; João A. M. Santos (Pattern Recognit. Lett., 2020)

Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data - Inês Domingues; Henning Müller; Andrés Ortiz; Belur V. Dasarathy; Pedro H. Abreu; Vince D. Calhoun (IEEE J. Biomed. Health Informatics, 2020)

Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets - Miriam Seoane Santos; Pedro H. Abreu; Szymon Wilk; João A. M. Santos (Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings, 2020)

Missing Image Data Imputation using Variational Autoencoders with Weighted Loss - Ricardo Cardoso Pereira; Joana Cristo Santos; José Pereira Amorim; Pedro Pereira Rodrigues; Pedro Henriques Abreu (28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020, 2020)

Interpretability vs. Complexity: The Friction in Deep Neural Networks - José Pereira Amorim; Pedro H. Abreu; Mauricio Reyes; João A. M. Santos (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing - Jaime S. Cardoso; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings - Jaime S. Cardoso; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (Springer, 2020)

Generating Synthetic Missing Data: A Review by Missing Mechanism - Miriam Seoane Santos; Ricardo Cardoso Pereira; Adriana Fonseca Costa; Jastin Pompeu Soares; João A. M. Santos; Pedro Henriques Abreu (IEEE Access, 2019)

Computer Vision in Esophageal Cancer: A Literature Review - Inês Domingues; Inês Sampaio; Hugo Duarte; João A. M. Santos; Pedro H. Abreu (IEEE Access, 2019)

Autonomous agents and multi-agent systems applied in healthcare - Sara Montagna; Daniel Castro Silva; Pedro Henriques Abreu; Márcia Ito; Michael Ignaz Schumacher; Eloisa Vargiu (Artif. Intell. Medicine, 2019)

Multiple-Choice Questions in Programming Courses: Can We Use Them and Are Students Motivated by Them? - Pedro Henriques Abreu; Daniel Castro Silva; Anabela Gomes (ACM Trans. Comput. Educ., 2019)

MNAR Imputation with Distributed Healthcare Data - Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu (Progress in Artificial Intelligence, 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part II, 2019)

Analyzing the Footprint of Classifiers in Adversarial Denial of Service Contexts - Nuno Martins; José Magalhães Cruz; Tiago Cruz; Pedro Henriques Abreu (Progress in Artificial Intelligence, 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part II, 2019)

A Data Visualization Approach for Intersection Analysis using AIS Data - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Evgheni Polisciuc; Penousal Machado (Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Volume 3: IVAPP, Prague, Czech Republic, February 25-27, 2019, 2019)

Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique - Ana Catarina Oliveira; Inês Domingues; Hugo Duarte; João A. M. Santos; Pedro H. Abreu (Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II, 2019)

An iterative oversampling approach for ordinal classification - Francisco Marques; Hugo Duarte; João A. M. Santos; Inês Domingues; José Pereira Amorim; Pedro H. Abreu (Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019, 2019)

Cyber-security Modbus ICS dataset - Ivo Frazão; Pedro H. Abreu; Tiago Cruz; Helder Araújo; Paulo Simões (IEEE DataPort, 2019)
Accessed on YYYY-MM-DD.

Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier] - Miriam Seoane Santos; Jastin Pompeu Soares; Pedro Henriques Abreu; Hélder Araújo; João A. M. Santos (IEEE Comput. Intell. Mag., 2018)

Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about? - Miriam Seoane Santos; Pedro H. Abreu; Germán Rodríguez-Bermúdez; Pedro J. García-Laencina (Int. J. Comput. Intell. Syst., 2018)

Denial of Service Attacks: Detecting the Frailties of Machine Learning Algorithms in the Classification Process - Ivo Frazão; Pedro Henriques Abreu; Tiago Cruz; Hélder Araújo; Paulo Simões (Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Kaunas, Lithuania, September 24-26, 2018, Revised Selected Papers, 2018)

Interpreting deep learning models for ordinal problems - José Pereira Amorim; Inês Domingues; Pedro Henriques Abreu; João A. M. Santos (26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018, 2018)

Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training - Inês Domingues; Pedro H. Abreu; João A. M. Santos (2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018, 2018)

Missing Data Imputation via Denoising Autoencoders: The Untold Story - Adriana Fonseca Costa; Miriam Seoane Santos; Jastin Pompeu Soares; Pedro Henriques Abreu (Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings, 2018)

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts - Marta Mercier; Miriam Seoane Santos; Pedro H. Abreu; Carlos Soares; Jastin Pompeu Soares; João A. M. Santos (Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings, 2018)

Exploring the Effects of Data Distribution in Missing Data Imputation - Jastin Pompeu Soares; Miriam Seoane Santos; Pedro Henriques Abreu; Hélder Araújo; João A. M. Santos (Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings, 2018)

Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification - Inês Domingues; José Pereira Amorim; Pedro H. Abreu; Hugo Duarte; João A. M. Santos (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

Registration of CT with PET: A Comparison of Intensity-Based Approaches - Gisèle Pereira; Inês Domingues; Pedro Martins; Pedro H. Abreu; Hugo Duarte; João A. M. Santos (Combinatorial Image Analysis - 19th International Workshop, IWCIA 2018, Porto, Portugal, November 22-24, 2018, Proceedings, 2018)

Development of flexible languages for scenario and team description in multirobot missions - Daniel Castro Silva; Pedro Henriques Abreu; Luís Paulo Reis; Eugénio C. Oliveira (Artif. Intell. Eng. Des. Anal. Manuf., 2017)

Image descriptors in radiology images: a systematic review - Mariana A. Nogueira; Pedro Henriques Abreu; Pedro Martins; Penousal Machado; Hugo Duarte; João A. M. Santos (Artif. Intell. Rev., 2017)

An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images - Mariana A. Nogueira; Pedro Henriques Abreu; Pedro Martins; Penousal Machado; Hugo Duarte; João A. M. Santos (BMC Medical Imaging, 2017)

Guest Editorial: Advances in Knowledge and Information Software Management - Maria José Sousa; Pedro Henriques Abreu; Álvaro Rocha; Daniel Castro Silva (IET Softw., 2017)

Influence of Data Distribution in Missing Data Imputation - Miriam Seoane Santos; Jastin Pompeu Soares; Pedro Henriques Abreu; Hélder Araújo; João A. M. Santos (Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings, 2017)

Agents and Multi-Agent Systems for Health Care - 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers - Sara Montagna; Pedro Henriques Abreu; Sylvain Giroux; Michael Ignaz Schumacher (Springer, 2017)

HCC Survival - Miriam Seoane Santos; Pedro H. Abreu; Pedro J. García-Laencina; Adélia Simão; Armando Carvalho (UCI Machine Learning Repository, 2017)
Accessed on YYYY-MM-DD.

Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review - Pedro Henriques Abreu; Miriam Seoane Santos; Miguel Henriques Abreu; Bruno Andrade; Daniel Castro Silva (ACM Comput. Surv., 2016)

Special Issue JOMS - Journal of Medical Systems, 2016 on Agent-Empowered HealthCare Systems - Pedro Henriques Abreu; Daniel Castro Silva; Michael Ignaz Schumacher; Luís Paulo Reis; Brígida Mónica Faria; Márcia Ito (J. Medical Syst., 2016)

Development of a flexible language for disturbance description for multi-robot missions - Daniel Castro Silva; Pedro Henriques Abreu; Luís Paulo Reis; Eugénio C. Oliveira (J. Simulation, 2016)

Types of assessing student-programming knowledge - Anabela Gomes; Fernanda Brito Correia; Pedro Henriques Abreu (2016 IEEE Frontiers in Education Conference, FIE 2015, Eire, PA, USA, October 12-15, 2016, 2016)

TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter - André Maia; Tiago Daniel Sá Cunha; Carlos Soares; Pedro Henriques Abreu (New Advances in Information Systems and Technologies - Volume 1 [WorldCIST'16, Recife, Pernambuco, Brazil, March 22-24, 2016], 2016)

Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values - Pedro J. García-Laencina; Pedro Henriques Abreu; Miguel Henriques Abreu; Noémia Afonoso (Comput. Biol. Medicine, 2015)

A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients - Miriam Seoane Santos; Pedro Henriques Abreu; Pedro J. García-Laencina; Adélia Simão; Armando Carvalho (J. Biomed. Informatics, 2015)

MoCaS: Mobile Carpooling System - Álvaro Ribeiro; Daniel Castro Silva; Pedro Henriques Abreu (New Contributions in Information Systems and Technologies - Volume 1 [WorldCIST'15, Azores, Portugal, April 1-3, 2015], 2015)

Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach - Pedro Henriques Abreu; Daniel Castro Silva; Fernando Almeida; João Mendes-Moreira (Appl. Soft Comput., 2014)

Strategy planner: Graphical definition of soccer set-plays - João Cravo; Fernando Almeida; Pedro Henriques Abreu; Luís Paulo Reis; Nuno Lau; Luís Mota (Data Knowl. Eng., 2014)

An Inverted Ant Colony Optimization approach to traffic - José Capela Dias; Penousal Machado; Daniel Castro Silva; Pedro Henriques Abreu (Eng. Appl. Artif. Intell., 2014)

Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent - Pedro Henriques Abreu; Daniel Castro Silva; João Portela; João Mendes-Moreira; Luís Paulo Reis (Intell. Data Anal., 2014)

Development of a flexible language for mission description for multi-robot missions - Daniel Castro Silva; Pedro Henriques Abreu; Luís Paulo Reis; Eugénio C. Oliveira (Inf. Sci., 2014)

An Interface for Fitness Function Design - Penousal Machado; Tiago Martins; Hugo Amaro; Pedro Henriques Abreu (Evolutionary and Biologically Inspired Music, Sound, Art and Design - Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers, 2014)

Distributed Environment Framework for Optimization Experiments - Pedro H. Abreu; Carlos Soares; Rui Carlos Camacho (2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30 - July 3, 2014, 2014)

Augmented Reality Mobile Tourism Application - Flávio Pereira; Daniel Castro Silva; Pedro Henriques Abreu; António Pinho (New Perspectives in Information Systems and Technologies, Volume 2 [WorldCIST'14, Madeira Island, Portugal, April 15-18, 2014], 2014)

MusE Central: A Data Aggregation System for Music Events - Delfim Simões; Pedro Henriques Abreu; Daniel Castro Silva (New Perspectives in Information Systems and Technologies, Volume 2 [WorldCIST'14, Madeira Island, Portugal, April 15-18, 2014], 2014)

Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models - Pedro Henriques Abreu; Daniel Castro Silva; João Mendes-Moreira; Luís Paulo Reis; Júlio Garganta (Int. J. Comput. Intell. Syst., 2013)

An automatic approach to extract goal plans from soccer simulated matches - Fernando Almeida; Pedro Henriques Abreu; Nuno Lau; Luís Paulo Reis (Soft Comput., 2013)

Effect of the usage of wikis on an educational context - Pedro H. Abreu; Daniel Castro Silva; Pedro Mendes; Vasco Vinhas (Comput. Appl. Eng. Educ., 2012)

Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data - Pedro H. Abreu; José Moura; Daniel Castro Silva; Luís Paulo Reis; Júlio Garganta (Soft Comput., 2012)

Automatic extraction of goal-scoring behaviors from soccer matches - Fernando Almeida; Pedro Henriques Abreu; Nuno Lau; Luís Paulo Reis (2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012, Vilamoura, Algarve, Portugal, October 7-12, 2012, 2012)

An Intelligent Framework for Automatic Event Detection in Robotic Soccer Games - An Auxiliar Tool to Help Coaches Improve their Teams' Performance - João Portela; Pedro H. Abreu; Luís Paulo Reis; Eugénio C. Oliveira; Júlio Garganta (ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8 - 12, 2010, 2010)

Human vs. Robotic Soccer: How Far Are They? A Statistical Comparison - Pedro H. Abreu; Israel Costa; Daniel Castelão; Luís Paulo Reis; Júlio Garganta (RoboCup 2010: Robot Soccer World Cup XIV [papers from the 14th annual RoboCup International Symposium, Singapore, June 25, 2010], 2010)

Business Intelligence based on a Wi-Fi Real Time Positioning Engine - A Practical Application in a Major Retail Company - Vasco Vinhas; Pedro H. Abreu; Pedro Mendes (ICEIS 2009 - Proceedings of the 11th International Conference on Enterprise Information Systems, Volume DISI, Milan, Italy, May 6-10, 2009, 2009)

Strategies for Route Planning on Catastrophe Environments - Coordinating Agents on a Fire Fighting Scenario - Pedro H. Abreu; Pedro Mendes (ICEIS 2009 - Proceedings of the 11th International Conference on Enterprise Information Systems, Volume AIDSS, Milan, Italy, May 6-10, 2009, 2009)

Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines - Pedro H. Abreu; Carlos Soares; Jorge M. S. Valente (Learning and Intelligent Optimization, Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers, 2009)

Mastermind: an augment reality approach: [porting a legacy game to new interaction paradigms] - Pedro H. Abreu; Pedro Mendes (Proceedings of the Third International Conference on Digital Interactive Media in Entertainment and Arts, DIMEA 2008, 10-12 September 2008, Athens, Greece, 2008)

Using a Datawarehouse to Extract Knowledge from Robocup Teams - Isabel Gonzalez; Pedro H. Abreu; Luís Paulo Reis (ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems, Volume DISI, Barcelona, Spain, June 12-16, 2008, 2008)

Business Intelligence through Real-Time Tracking - Using a Location System Towards Behaviour Pattern Extraction - Pedro H. Abreu; Vasco Vinhas; Pedro Mendes (ICE-B 2008 - Proceedings of the International Conference on e-Business, Porto, Portugal, July 26-29, 2008, ICE-B is part of ICETE - The International Joint Conference on e-Business and Telecommunications, 2008)