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

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

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

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

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

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

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

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

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

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

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

Assessing Adversarial Effects of Noise in Missing Data Imputation. - Mangussi, Arthur Dantas; Pereira, Ricardo Cardoso; Abreu, Pedro Henriques; Lorena, Ana Carolina (2024)

Reconstruction of Mammography Projections using Image-to-Image Translation Techniques. - Santos, Joana Cristo; Santos, Miriam Seoane; Abreu, Pedro Henriques (2024)

Study the Capacity of Deep Learning Techniques Information Generalization Using Capsule Endoscopic Images. - Macedo, Ema; Araújo, Helder; Abreu, Pedro Henriques (2024)

An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification. - Santos, Joana Cristo; Santos, Miriam Seoane; Abreu, Pedro Henriques (2024)

Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems. - Perdigão, Dylan; Cruz, Tiago; Simões, Paulo; Abreu, Pedro Henriques (2024)

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

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

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

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

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

Siamese Autoencoder-Based Approach for Missing Data Imputation. - Pereira, Ricardo Cardoso; Abreu, Pedro Henriques; Rodrigues, Pedro Pereira (2023)

Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation. - Pereira, Ricardo Cardoso; Rodrigues, Pedro Pereira; Figueiredo, Mário A. T.; Abreu, Pedro Henriques (2023)

FAIR-FATE: Fair Federated Learning with Momentum. - Salazar, Teresa; Fernandes, Miguel; Araújo, Helder; Abreu, Pedro Henriques (2023)

Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings (Springer, 2023)

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

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

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

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

The identification of cancer lesions in mammography images with missing pixels: analysis of morphology. - Santos, Joana Cristo; Abreu, Pedro Henriques; Santos, Miriam Seoane (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 (Springer, 2022)

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

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

Using Brain Computer Interaction to Evaluate Problem Solving Abilities. - Teixeira, Ana Rita; Rodrigues, Igor; Gomes, Anabela; Abreu, Pedro H.; Rodríguez-Bermúdez, Germán (2021)

Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings (Springer, 2021)

Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings (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 (Springer, 2021)

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

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

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

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

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

Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. - Santos, Miriam Seoane; Abreu, Pedro H.; Wilk, Szymon; Santos, João A. M. (2020)

Missing Image Data Imputation using Variational Autoencoders with Weighted Loss. - Pereira, Ricardo Cardoso; Santos, Joana Cristo; Amorim, José Pereira; Rodrigues, Pedro Pereira; Abreu, Pedro Henriques (2020)

Interpretability vs. Complexity: The Friction in Deep Neural Networks. - Amorim, José Pereira; Abreu, Pedro H.; Reyes, Mauricio; Santos, João A. M. (2020)

VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. - Pereira, Ricardo Cardoso; Abreu, Pedro Henriques; Rodrigues, Pedro Pereira (2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Cardoso, Jaime S.; Nguyen, Hien Van; Heller, Nicholas; Abreu, Pedro Henriques; Isgum, Ivana; Silva, Wilson; Cruz, Ricardo P. M.; Amorim, José Pereira; Patel, Vishal; Roysam, Badri; Zhou, S. Kevin; Jiang, Steve B.; et al. (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 (Springer, 2020)

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

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

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

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

MNAR Imputation with Distributed Healthcare Data. - Pereira, Ricardo Cardoso; Santos, Miriam Seoane; Rodrigues, Pedro Pereira; Abreu, Pedro Henriques (2019)

Analyzing the Footprint of Classifiers in Adversarial Denial of Service Contexts. - Martins, Nuno; Cruz, José Magalhães; Cruz, Tiago; Abreu, Pedro Henriques (2019)

A Data Visualization Approach for Intersection Analysis using AIS Data. - Pereira, Ricardo Cardoso; Abreu, Pedro Henriques; Polisciuc, Evgheni; Machado, Penousal (2019)

Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. - Oliveira, Ana Catarina; Domingues, Inês; Duarte, Hugo; Santos, João A. M.; Abreu, Pedro H. (2019)

An iterative oversampling approach for ordinal classification. - Marques, Francisco; Duarte, Hugo; Santos, João A. M.; Domingues, Inês; Amorim, José Pereira; Abreu, Pedro H. (2019)

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

Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. - Santos, Miriam Seoane; Soares, Jastin Pompeu; Abreu, Pedro Henriques; Araújo, Hélder; Santos, João A. M. (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? - Santos, Miriam Seoane; Abreu, Pedro H.; Rodríguez-Bermúdez, Germán; García-Laencina, Pedro J. (Int. J. Comput. Intell. Syst., 2018)

Denial of Service Attacks: Detecting the Frailties of Machine Learning Algorithms in the Classification Process. - Frazão, Ivo; Abreu, Pedro Henriques; Cruz, Tiago; Araújo, Hélder; Simões, Paulo (2018)

Interpreting deep learning models for ordinal problems. - Amorim, José Pereira; Domingues, Inês; Abreu, Pedro Henriques; Santos, João A. M. (2018)

Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. - Domingues, Inês; Abreu, Pedro H.; Santos, João A. M. (2018)

Missing Data Imputation via Denoising Autoencoders: The Untold Story. - Costa, Adriana Fonseca; Santos, Miriam Seoane; Soares, Jastin Pompeu; Abreu, Pedro Henriques (2018)

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. - Mercier, Marta; Santos, Miriam Seoane; Abreu, Pedro H.; Soares, Carlos; Soares, Jastin Pompeu; Santos, João A. M. (2018)

Exploring the Effects of Data Distribution in Missing Data Imputation. - Soares, Jastin Pompeu; Santos, Miriam Seoane; Abreu, Pedro Henriques; Araújo, Hélder; Santos, João A. M. (2018)

Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. - Domingues, Inês; Amorim, José Pereira; Abreu, Pedro H.; Duarte, Hugo; Santos, João A. M. (2018)

Registration of CT with PET: A Comparison of Intensity-Based Approaches. - Pereira, Gisèle; Domingues, Inês; Martins, Pedro; Abreu, Pedro H.; Duarte, Hugo; Santos, João A. M. (2018)

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

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

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

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

Influence of Data Distribution in Missing Data Imputation. - Santos, Miriam Seoane; Soares, Jastin Pompeu; Abreu, Pedro Henriques; Araújo, Hélder; Santos, João A. M. (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 (Springer, 2017)

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

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

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

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

Types of assessing student-programming knowledge. - Gomes, Anabela; Correia, Fernanda Brito; Abreu, Pedro Henriques (2016)

TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter. - Maia, André; Cunha, Tiago Daniel Sá; Soares, Carlos; Abreu, Pedro Henriques (2016)

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

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

MoCaS: Mobile Carpooling System. - Ribeiro, Álvaro; Silva, Daniel Castro; Abreu, Pedro Henriques (2015)

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

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

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

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

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

An Interface for Fitness Function Design. - Machado, Penousal; Martins, Tiago; Amaro, Hugo; Abreu, Pedro Henriques (2014)

Distributed Environment Framework for Optimization Experiments. - Abreu, Pedro H.; Soares, Carlos; Camacho, Rui Carlos (2014)

Augmented Reality Mobile Tourism Application. - Pereira, Flávio; Silva, Daniel Castro; Abreu, Pedro Henriques; Pinho, António (2014)

MusE Central: A Data Aggregation System for Music Events. - Simões, Delfim; Abreu, Pedro Henriques; Silva, Daniel Castro (2014)

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

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

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

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

Automatic extraction of goal-scoring behaviors from soccer matches. - Almeida, Fernando; Abreu, Pedro Henriques; Lau, Nuno; Reis, Luís Paulo (2012)

An Intelligent Framework for Automatic Event Detection in Robotic Soccer Games - An Auxiliar Tool to Help Coaches Improve their Teams' Performance. - Portela, João; Abreu, Pedro H.; Reis, Luís Paulo; Oliveira, Eugénio C.; Garganta, Júlio (2010)

Human vs. Robotic Soccer: How Far Are They? A Statistical Comparison. - Abreu, Pedro H.; Costa, Israel; Castelão, Daniel; Reis, Luís Paulo; Garganta, Júlio (2010)

Business Intelligence based on a Wi-Fi Real Time Positioning Engine - A Practical Application in a Major Retail Company. - Vinhas, Vasco; Abreu, Pedro H.; Mendes, Pedro (2009)

Strategies for Route Planning on Catastrophe Environments - Coordinating Agents on a Fire Fighting Scenario. - Abreu, Pedro H.; Mendes, Pedro (2009)

Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines. - Abreu, Pedro H.; Soares, Carlos; Valente, Jorge M. S. (2009)

Mastermind: an augment reality approach: [porting a legacy game to new interaction paradigms]. - Abreu, Pedro H.; Mendes, Pedro (2008)

Using a Datawarehouse to Extract Knowledge from Robocup Teams. - Gonzalez, Isabel; Abreu, Pedro H.; Reis, Luís Paulo (2008)

Business Intelligence through Real-Time Tracking - Using a Location System Towards Behaviour Pattern Extraction. - Abreu, Pedro H.; Vinhas, Vasco; Mendes, Pedro (2008)