Pedro Henriques Abreu

86 papers A 1B 11C 3Journal 52Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research.
Artif. Intell. Rev.
Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu
2026 J jnl
GEPFNet: A group equivariant feature extraction with parallel fusion neural network for solar photovoltaic fault classification.
Inf. Fusion
Jielong Guo, Benjamin K. Ng, Chan-Tong Lam, Pedro Henriques Abreu
2026 — ed.
Interpretability of Machine Intelligence in Medical Image Computing - 8th International Workshop, iMIMIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
iMIMIC@MICCAI
Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso
2026 J jnl
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms.
CoRR
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2026 J jnl
LogicMix: Sample mixing data augmentation for multi-label image classification with partial labels.
Pattern Recognit.
Chak Fong Chong, Jielong Guo, Xu Yang, Wei Ke, Pedro Henriques Abreu, Yapeng Wang, Sio-Kei Im
2026 J jnl
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu
2026 J jnl
mlcpl: A python package for deep multi-label image classification with partial-labels on PyTorch.
Neurocomputing
Chak Fong Chong, Xu Yang, Yapeng Wang, Pedro Henriques Abreu
2025 J jnl
A Label Propagation Approach for Missing Data Imputation.
IEEE Access
Filipe Loyola Lopes, Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Henriques Abreu, Ana Carolina Lorena
2025 J jnl
Category-wise Fine-Tuning: Resisting incorrect pseudo-labels in multi-label image classification with partial labels.
Neurocomputing
Chak Fong Chong, Xinyi Fang, Jielong Guo, Pedro Henriques Abreu, Yapeng Wang, Xu Yang, Wei Ke, Sio-Kei Im
2025 J jnl
Guidelines for designing visualization tools for group fairness analysis in binary classification.
Artif. Intell. Rev.
António Cruz, Teresa Salazar, Manuel Carvalho, Catarina Maçãs, Penousal Machado, Pedro Henriques Abreu
2025 J jnl
Pycol: A Python package for dataset complexity measures.
Neurocomputing
Diogo Apóstolo, Miriam Seoane Santos, Ana Carolina Lorena, Pedro Henriques Abreu
2025 J jnl
Reparameterization convolutional neural networks for handling imbalanced datasets in solar panel fault classification.
Eng. Appl. Artif. Intell.
Jielong Guo, Chak Fong Chong, Pedro Henriques Abreu, Chao Mao, Jiaxuan Li, Chan-Tong Lam, Benjamin K. Ng
2025 J jnl
Studying the robustness of data imputation methodologies against adversarial attacks.
Comput. Secur.
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Miriam Seoane Santos, Pedro Henriques Abreu
2025 J jnl
The Role of Deep Learning in Medical Image Inpainting: A Systematic Review.
ACM Trans. Comput. Heal.
Joana Cristo Santos, Hugo Tomás Pereira Alexandre, Miriam Seoane Santos, Pedro Henriques Abreu
2025 J jnl
mdatagen: A python library for the artificial generation of missing data.
Neurocomputing
Arthur Dantas Mangussi, Miriam Seoane Santos, Filipe Loyola Lopes, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2024 J jnl
A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis.
IEEE Access
Juan-Francisco Cabrera-Sánchez, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Esther-Lydia Silva-Ramírez
2024 J jnl
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research.
CoRR
Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu
2024 — conf
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification.
IDA (1)
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
2024 — conf
Assessing Adversarial Effects of Noise in Missing Data Imputation.
BRACIS (1)
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Ana Carolina Lorena
2024 J jnl
Call for Papers: Data Generation in Healthcare Environments.
J. Biomed. Informatics
Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Irina S. Moreira, Pedro Henriques Abreu
2024 B conf
Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems.
NOMS
Dylan Perdigão, Tiago Cruz, Paulo Simões, Pedro Henriques Abreu
2024 J jnl
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis.
Expert Syst. Appl.
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues, Mário A. T. Figueiredo
2024 B conf
Reconstruction of Mammography Projections using Image-to-Image Translation Techniques.
ESANN
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
2024 J jnl
Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random.
J. Comput. Sci.
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2024 — conf
Study the Capacity of Deep Learning Techniques Information Generalization Using Capsule Endoscopic Images.
ICPR (Workshops and Challenges, 5)
Ema Macedo, Helder Araújo, Pedro Henriques Abreu
2024 J jnl
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning.
CoRR
Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu
2023 J jnl
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.
Artif. Intell. Rev.
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, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller
2023 J jnl
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
2023 — conf
Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation.
ICCS (1)
Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Mário A. T. Figueiredo, Pedro Henriques Abreu
2023 J jnl
Evaluating Post-hoc Interpretability with Intrinsic Interpretability.
CoRR
José Pereira Amorim, Pedro Henriques Abreu, João A. M. Santos, Henning Müller
2023 — conf
FAIR-FATE: Fair Federated Learning with Momentum.
ICCS (1)
Teresa Salazar, Miguel Fernandes, Helder Araújo, Pedro Henriques Abreu
2023 — conf
Siamese Autoencoder-Based Approach for Missing Data Imputation.
ICCS (1)
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2022 J jnl
FAIR-FATE: Fair Federated Learning with Momentum.
CoRR
Teresa Salazar, Miguel Fernandes, Helder Araújo, Pedro Henriques Abreu
2022 — ed.
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
iMIMIC@MICCAI
Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso
2022 J jnl
On the joint-effect of class imbalance and overlap: a critical review.
Artif. Intell. Rev.
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
2022 J jnl
Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data.
IEEE J. Biomed. Health Informatics
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2022 B conf
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology.
DSAA
Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos
2022 J jnl
The impact of heterogeneous distance functions on missing data imputation and classification performance.
Eng. Appl. Artif. Intell.
Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos
2021 B ed.
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings
IDA
Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama
2021 B ed.
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings
AIME
Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño
2021 J jnl
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes.
IEEE Access
Teresa Salazar, Miriam Seoane Santos, Helder Araújo, Pedro Henriques Abreu
2021 — ed.
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
iMIMIC/TDA4MedicalData@MICCAI
Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur
2020 J jnl
Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review.
IEEE Access
Nuno Martins, José Magalhães Cruz, Tiago Cruz, Pedro Henriques Abreu
2020 — conf
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
iMIMIC/MIL3ID/LABELS@MICCAI
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, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
2020 J jnl
How distance metrics influence missing data imputation with k-nearest neighbours.
Pattern Recognit. Lett.
Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos
2020 — ed.
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
iMIMIC/MIL3ID/LABELS@MICCAI
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, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
2020 B conf
Missing Image Data Imputation using Variational Autoencoders with Weighted Loss.
ESANN
Ricardo Cardoso Pereira, Joana Cristo Santos, José Pereira Amorim, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2020 J jnl
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes.
J. Artif. Intell. Res.
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2020 J jnl
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET.
Artif. Intell. Rev.
Inês Domingues, Gisèle Pereira, Pedro Martins, Hugo Duarte, João A. M. Santos, Pedro Henriques Abreu
2020 B conf
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data.
IJCNN
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
2019 — conf
A Data Visualization Approach for Intersection Analysis using AIS Data.
VISIGRAPP (3: IVAPP)
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Evgheni Polisciuc, Penousal Machado
2019 — conf
Analyzing the Footprint of Classifiers in Adversarial Denial of Service Contexts.
EPIA (2)
Nuno Martins, José Magalhães Cruz, Tiago Cruz, Pedro Henriques Abreu
2019 J jnl
Autonomous agents and multi-agent systems applied in healthcare.
Artif. Intell. Medicine
Sara Montagna, Daniel Castro Silva, Pedro Henriques Abreu, Márcia Ito, Michael Ignaz Schumacher, Eloisa Vargiu
2019 J jnl
Generating Synthetic Missing Data: A Review by Missing Mechanism.
IEEE Access
Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu
2019 — conf
MNAR Imputation with Distributed Healthcare Data.
EPIA (2)
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2019 J jnl
Multiple-Choice Questions in Programming Courses: Can We Use Them and Are Students Motivated by Them?
ACM Trans. Comput. Educ.
Pedro Henriques Abreu, Daniel Castro Silva, Anabela Gomes
2018 J jnl
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier].
IEEE Comput. Intell. Mag.
Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2018 C conf
Denial of Service Attacks: Detecting the Frailties of Machine Learning Algorithms in the Classification Process.
CRITIS
Ivo Frazão, Pedro Henriques Abreu, Tiago Cruz, Hélder Araújo, Paulo Simões
2018 B conf
Exploring the Effects of Data Distribution in Missing Data Imputation.
IDA
Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2018 B conf
Interpreting deep learning models for ordinal problems.
ESANN
José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos
2018 B conf
Missing Data Imputation via Denoising Autoencoders: The Untold Story.
IDA
Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu
2017 — ed.
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
A2HC@AAMAS/A-HEALTH@PAAMS
Sara Montagna, Pedro Henriques Abreu, Sylvain Giroux, Michael Ignaz Schumacher
2017 J jnl
An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images.
BMC Medical Imaging
Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos
2017 J jnl
Development of flexible languages for scenario and team description in multirobot missions.
Artif. Intell. Eng. Des. Anal. Manuf.
Daniel Castro Silva, Pedro Henriques Abreu, Luís Paulo Reis, Eugénio C. Oliveira
2017 J jnl
Guest Editorial: Advances in Knowledge and Information Software Management.
IET Softw.
Maria José Sousa, Pedro Henriques Abreu, Álvaro Rocha, Daniel Castro Silva
2017 J jnl
Image descriptors in radiology images: a systematic review.
Artif. Intell. Rev.
Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos
2017 B conf
Influence of Data Distribution in Missing Data Imputation.
AIME
Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2016 J jnl
Development of a flexible language for disturbance description for multi-robot missions.
J. Simulation
Daniel Castro Silva, Pedro Henriques Abreu, Luís Paulo Reis, Eugénio C. Oliveira
2016 J jnl
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review.
ACM Comput. Surv.
Pedro Henriques Abreu, Miriam Seoane Santos, Miguel Henriques Abreu, Bruno Andrade, Daniel Castro Silva
2016 J jnl
Special Issue JOMS - Journal of Medical Systems, 2016 on Agent-Empowered HealthCare Systems.
J. Medical Syst.
Pedro Henriques Abreu, Daniel Castro Silva, Michael Ignaz Schumacher, Luís Paulo Reis, Brígida Mónica Faria, Márcia Ito
2016 — conf
TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter.
WorldCIST (1)
André Maia, Tiago Daniel Sá Cunha, Carlos Soares, Pedro Henriques Abreu
2016 C conf
Types of assessing student-programming knowledge.
FIE
Anabela Gomes, Fernanda Brito Correia, Pedro Henriques Abreu
2015 J jnl
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients.
J. Biomed. Informatics
Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho
2015 J jnl
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values.
Comput. Biol. Medicine
Pedro J. García-Laencina, Pedro Henriques Abreu, Miguel Henriques Abreu, Noémia Afonoso
2015 — conf
MoCaS: Mobile Carpooling System.
WorldCIST (1)
Álvaro Ribeiro, Daniel Castro Silva, Pedro Henriques Abreu
2014 C conf
An Interface for Fitness Function Design.
EvoMUSART
Penousal Machado, Tiago Martins, Hugo Amaro, Pedro Henriques Abreu
2014 J jnl
An Inverted Ant Colony Optimization approach to traffic.
Eng. Appl. Artif. Intell.
José Capela Dias, Penousal Machado, Daniel Castro Silva, Pedro Henriques Abreu
2014 — conf
Augmented Reality Mobile Tourism Application.
WorldCIST (2)
Flávio Pereira, Daniel Castro Silva, Pedro Henriques Abreu, António Pinho
2014 J jnl
Development of a flexible language for mission description for multi-robot missions.
Inf. Sci.
Daniel Castro Silva, Pedro Henriques Abreu, Luís Paulo Reis, Eugénio C. Oliveira
2014 J jnl
Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach.
Appl. Soft Comput.
Pedro Henriques Abreu, Daniel Castro Silva, Fernando Almeida, João Mendes-Moreira
2014 — conf
MusE Central: A Data Aggregation System for Music Events.
WorldCIST (2)
Delfim Simões, Pedro Henriques Abreu, Daniel Castro Silva
2014 J jnl
Strategy planner: Graphical definition of soccer set-plays.
Data Knowl. Eng.
João Cravo, Fernando Almeida, Pedro Henriques Abreu, Luís Paulo Reis, Nuno Lau, Luís Mota
2014 J jnl
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent.
Intell. Data Anal.
Pedro Henriques Abreu, Daniel Castro Silva, João Portela, João Mendes-Moreira, Luís Paulo Reis
2013 J jnl
An automatic approach to extract goal plans from soccer simulated matches.
Soft Comput.
Fernando Almeida, Pedro Henriques Abreu, Nuno Lau, Luís Paulo Reis
2013 J jnl
Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models.
Int. J. Comput. Intell. Syst.
Pedro Henriques Abreu, Daniel Castro Silva, João Mendes-Moreira, Luís Paulo Reis, Júlio Garganta
2012 A conf
Automatic extraction of goal-scoring behaviors from soccer matches.
IROS
Fernando Almeida, Pedro Henriques Abreu, Nuno Lau, Luís Paulo Reis