Pedro Henriques Abreu
Pedro Henriques Abreu
Associate Professor, Department of Informatics Engineering, University of Coimbra
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Cross-validation for imbalanced datasets: avoiding overoptimistic and overfitting approaches [research frontier]
MS Santos, JP Soares, PH Abreu, H Araujo, J Santos
ieee ComputatioNal iNtelligeNCe magaziNe 13 (4), 59-76, 2018
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients
MS Santos, PH Abreu, PJ García-Laencina, A Simão, A Carvalho
Journal of biomedical informatics 58, 49-59, 2015
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values
PJ García-Laencina, PH Abreu, MH Abreu, N Afonoso
Computers in biology and medicine 59, 125-133, 2015
Adversarial machine learning applied to intrusion and malware scenarios: a systematic review
N Martins, JM Cruz, T Cruz, PH Abreu
IEEE Access 8, 35403-35419, 2020
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review
PH Abreu, MS Santos, MH Abreu, B Andrade, DC Silva
ACM Computing Surveys 49 (3), 1-40, 2016
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
I Domingues, G Pereira, P Martins, H Duarte, J Santos, PH Abreu
Artificial Intelligence Review 53, 4093-4160, 2020
Generating synthetic missing data: A review by missing mechanism
MS Santos, RC Pereira, AF Costa, JP Soares, J Santos, PH Abreu
IEEE Access 7, 11651-11667, 2019
An inverted ant colony optimization approach to traffic
JC Dias, P Machado, DC Silva, PH Abreu
Engineering Applications of Artificial Intelligence 36, 122-133, 2014
Reviewing autoencoders for missing data imputation: Technical trends, applications and outcomes
RC Pereira, MS Santos, PP Rodrigues, PH Abreu
Journal of Artificial Intelligence Research 69, 1255-1285, 2020
On the joint-effect of class imbalance and overlap: a critical review
MS Santos, PH Abreu, N Japkowicz, A Fernández, C Soares, S Wilk, ...
Artificial Intelligence Review 55 (8), 6207-6275, 2022
Denial of service attacks: Detecting the frailties of machine learning algorithms in the classification process
I Frazão, PH Abreu, T Cruz, H Araújo, P Simões
Critical Information Infrastructures Security: 13th International Conference …, 2019
Male breast cancer: Looking for better prognostic subgroups
MH Abreu, N Afonso, PH Abreu, F Menezes, P Lopes, R Henrique, ...
The Breast 26, 18-24, 2016
Missing data imputation via denoising autoencoders: the untold story
AF Costa, MS Santos, JP Soares, PH Abreu
Advances in Intelligent Data Analysis XVII: 17th International Symposium …, 2018
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences
M Graziani, L Dutkiewicz, D Calvaresi, JP Amorim, K Yordanova, M Vered, ...
Artificial intelligence review 56 (4), 3473-3504, 2023
Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data
PH Abreu, J Moura, DC Silva, LP Reis, J Garganta
Soft Computing-A Fusion of Foundations, Methodologies and Applications 16 (1 …, 2012
Strategy planner: Graphical definition of soccer set-plays
J Cravo, F Almeida, PH Abreu, LP Reis, N Lau, L Mota
Data & Knowledge Engineering 94, 110-131, 2014
Bi-rads classification of breast cancer: a new pre-processing pipeline for deep models training
I Domingues, PH Abreu, J Santos
2018 25th IEEE international conference on image processing (ICIP), 1378-1382, 2018
Evaluation of oversampling data balancing techniques in the context of ordinal classification
I Domingues, JP Amorim, PH Abreu, H Duarte, J Santos
How distance metrics influence missing data imputation with k-nearest neighbours
MS Santos, PH Abreu, S Wilk, J Santos
Pattern Recognition Letters 136, 111-119, 2020
Influence of data distribution in missing data imputation
MS Santos, JP Soares, P Henriques Abreu, H Araújo, J Santos
Artificial Intelligence in Medicine: 16th Conference on Artificial …, 2017
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