Pedro H. Abreu
Orcid: 0000-0002-9278-8194Affiliations:
- University of Coimbra, Portugal
- University of Porto, Portugal (PhD 2011)
According to our database1,
Pedro H. Abreu
authored at least 80 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning.
CoRR, 2024
2023
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.
Artif. Intell. Rev., April, 2023
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations.
Inf. Process. Manag., 2023
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
2022
Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data.
IEEE J. Biomed. Health Informatics, 2022
The impact of heterogeneous distance functions on missing data imputation and classification performance.
Eng. Appl. Artif. Intell., 2022
Artif. Intell. Rev., 2022
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
2021
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes.
IEEE Access, 2021
Proceedings of the Augmented Cognition, 2021
2020
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data.
IEEE J. Biomed. Health Informatics, 2020
Pattern Recognit. Lett., 2020
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes.
J. Artif. Intell. Res., 2020
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET.
Artif. Intell. Rev., 2020
Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review.
IEEE Access, 2020
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Multiple-Choice Questions in Programming Courses: Can We Use Them and Are Students Motivated by Them?
ACM Trans. Comput. Educ., 2019
Artif. Intell. Medicine, 2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
2018
Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?
Int. J. Comput. Intell. Syst., 2018
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier].
IEEE Comput. Intell. Mag., 2018
Proceedings of the Combinatorial Image Analysis - 19th International Workshop, 2018
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Denial of Service Attacks: Detecting the Frailties of Machine Learning Algorithms in the Classification Process.
Proceedings of the Critical Information Infrastructures Security, 2018
2017
IET Softw., 2017
An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images.
BMC Medical Imaging, 2017
Artif. Intell. Rev., 2017
Development of flexible languages for scenario and team description in multirobot missions.
Artif. Intell. Eng. Des. Anal. Manuf., 2017
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
Development of a flexible language for disturbance description for multi-robot missions.
J. Simulation, 2016
Special Issue JOMS - Journal of Medical Systems, 2016 on Agent-Empowered HealthCare Systems.
J. Medical Syst., 2016
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review.
ACM Comput. Surv., 2016
Proceedings of the New Advances in Information Systems and Technologies, 2016
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016
2015
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients.
J. Biomed. Informatics, 2015
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values.
Comput. Biol. Medicine, 2015
Proceedings of the New Contributions in Information Systems and Technologies, 2015
2014
Inf. Sci., 2014
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent.
Intell. Data Anal., 2014
Eng. Appl. Artif. Intell., 2014
Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach.
Appl. Soft Comput., 2014
Proceedings of the New Perspectives in Information Systems and Technologies, 2014
Proceedings of the New Perspectives in Information Systems and Technologies, 2014
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2014
2013
Soft Comput., 2013
Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models.
Int. J. Comput. Intell. Syst., 2013
2012
Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data.
Soft Comput., 2012
Comput. Appl. Eng. Educ., 2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
2010
Proceedings of the RoboCup 2010: Robot Soccer World Cup XIV [papers from the 14th annual RoboCup International Symposium, 2010
An Intelligent Framework for Automatic Event Detection in Robotic Soccer Games - An Auxiliar Tool to Help Coaches Improve their Teams' Performance.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010
2009
Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Business Intelligence based on a Wi-Fi Real Time Positioning Engine - A Practical Application in a Major Retail Company.
Proceedings of the ICEIS 2009, 2009
Strategies for Route Planning on Catastrophe Environments - Coordinating Agents on a Fire Fighting Scenario.
Proceedings of the ICEIS 2009, 2009
2008
Business Intelligence through Real-Time Tracking - Using a Location System Towards Behaviour Pattern Extraction.
Proceedings of the ICE-B 2008, 2008
Using a Datawarehouse to Extract Knowledge from Robocup Teams.
Proceedings of the ICEIS 2008, 2008
Mastermind: an augment reality approach: [porting a legacy game to new interaction paradigms].
Proceedings of the Third International Conference on Digital Interactive Media in Entertainment and Arts, 2008