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Pedro Henriques Abreu

university of coimbra

25H-index
149Paper Count
2.9KCitation Count
Published Papers 41
Publication Date
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CALNNLS: A Cost-Effective Approach for UWB Anchor Calibration
errIEEE Sensors Journal
IF4.5
err2026-07-13
err0
errOAAI
errSancho Amaral Simoes; Helder Araujo; Pedro Henriques Abreu
errShare
errSave
Fairness in machine learning pipelines: Guided interventions with the fairforge tool
errNeurocomputing
IF6.5
err2026-05-06
err0
errOAAI
errEmanuel Roque; Miriam Santos; Penousal Machado; Pedro Henriques Abreu
errShare
errSave
Data generation in healthcare environments
errJournal of Biomedical Informatics
IF4.5
err2026-05-01
err0
PREAI
errMoreira, Irina Sousa; Pereira, Ricardo Cardoso; Rodrigues, Pedro Pereira; Abreu, Pedro Henriques
errShare
errSave
mlcpl: A python package for deep multi-label image classification with partial-labels on PyTorch
errNeurocomputing
IF6.5
err2026-03-14
err0
PREAI
errChong, Chak Fong; Yang, Xu; Wang, Yapeng; Abreu, Pedro Henriques
errShare
errSave
A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research
errArtificial Intelligence Review
IF13.9
err2026-01-08
err0
errOAAI
errTeresa Salazar; Helder Araujo; Alberto Cano; Pedro Henriques Abreu
errShare
errSave
GEPFNet: A Group Equivariant Feature Extraction with Parallel Fusion Neural Network for Solar Photovoltaic Fault Classification
errInformation Fusion
IF15.5
err2025-12-02
err0
PREAI
errJielong Guo; Benjamin Ng; Chan-Tong Lam; Pedro Henriques Abreu
errShare
errSave
QIDLearningLib: A Python library for quasi-identifier recognition and evaluation
errNeurocomputing
IF6.5
err2025-08-21
err0
errOAAI
errSancho Amaral Simões; João P. Vilela; Miriam Seoane Santos; Pedro Henriques Abreu
errShare
errSave
LogicMix: Sample mixing data augmentation for multi-label image classification with partial labels
errPattern Recognition
IF7.6
err2025-07-22
err0
PREAI
errChak Fong Chong; Jielong Guo; Xu Yang; Wei Ke; Pedro Henriques Abreu; Yapeng Wang; Sio-Kei Im
errShare
errSave
Studying the robustness of data imputation methodologies against adversarial attacks
errComputers & Security
IF5.4
err2025-06-30
err0
PREAI
errArthur Dantas Mangussi; Ricardo Cardoso Pereira; Ana Carolina Lorena; Miriam Seoane Santos; Pedro Henriques Abreu
errShare
errSave
Pycol: A Python package for dataset complexity measures
errNEUROCOMPUTING
IF6.5
err2025-05-24
err0
errOAAI
errApostolo, Diogo; Santos, Miriam Seoane; Lorena, Ana Carolina; Abreu, Pedro Henriques
errShare
errSave
mdatagen: A python library for the artificial generation of missing data
errNEUROCOMPUTING
IF6.5
err2025-04-01
err0
PREAI
errMangussi, Arthur Dantas; Santos, Miriam Seoane; Lopes, Filipe Loyola; Pereira, Ricardo Cardoso; Lorena, Ana Carolina; Abreu, Pedro Henriques
errShare
errSave
Guidelines for designing visualization tools for group fairness analysis in binary classification
errARTIFICIAL INTELLIGENCE REVIEW
IF13.9
err2025-03-24
err0
errOAAI
errCruz, Antonio; Salazar, Teresa; Carvalho, Manuel; Macas, Catarina; Machado, Penousal; Abreu, Pedro Henriques
errShare
errSave
A Label Propagation Approach for Missing Data Imputation
errIEEE ACCESS
IF3.6
err2025-01-01
err0
errOAAI
errLoyola Lopes, Filipe; Dantas Mangussi, Arthur; Cardoso Pereira, Ricardo; Seoane Santos, Miriam; Henriques Abreu, Pedro; Carolina Lorena, Ana
errShare
errSave
Call for Papers: Data Generation in Healthcare Environments
errJOURNAL OF BIOMEDICAL INFORMATICS
IF4.5
err2024-11-01
err0
PREAI
errPereira, Ricardo Cardoso; Rodrigues, Pedro Pereira; Moreira, Irina Sousa; Abreu, Pedro Henriques
errShare
errSave
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-09-01
err2
errOAAI
errPereira, Ricardo Cardoso; Abreu, Pedro Henriques; Rodrigues, Pedro Pereira; Figueiredo, Mario A. T.
errShare
errSave
Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random
errnature computational science
IF3.7
err2024-06-01
err2
errOAAI
errPereira, Ricardo Cardoso; Abreu, Pedro Henriques; Rodrigues, Pedro Pereira
errShare
errSave
A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errCabrera-Sanchez, Juan-Francisco; Pereira, Ricardo Cardoso; Abreu, Pedro Henriques; Silva-Ramirez, Esther-Lydia
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errSave
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations
errINFORMATION PROCESSING & MANAGEMENT
IF6.9
err2023-03-01
err15
PREAI
errAmorim, Jose P.; Abreu, Pedro H.; Santos, Joao; Cortes, Marc; Vila, Victor
errShare
errSave
Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists
errIEEE REVIEWS IN BIOMEDICAL ENGINEERING
IF12
err2023-01-01
err10
errOAAI
errAmorim, Jose P.; Abreu, Pedro H.; Fernandez, Alberto; Reyes, Mauricio; Santos, Joao; Abreu, Miguel H.
errShare
errSave
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research
errINFORMATION FUSION
IF15.5
err2023-01-01
err32
errOAAI
errSantos, Miriam Seoane; Abreu, Pedro Henriques; Japkowicz, Nathalie; Fernandez, Alberto; Santos, Joao
errShare
errSave

Research Directions

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Co-authors
Cooperation Journals
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Vince D. Calhoun
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J
José J. G. Moura
H-index: 74 · Papers: 752
H
Henning Müller
H-index: 69 · Papers: 1.4K
R
Rui Henrique
H-index: 67 · Papers: 692
J
João Gama
H-index: 62 · Papers: 623
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