Pedro H. Abreu

35 papers B 6C 2Misc 1Journal 6Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX ECML/PKDD (9) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X ECML/PKDD (10) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I ECML/PKDD (1) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II ECML/PKDD (2) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III ECML/PKDD (3) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV ECML/PKDD (4) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V ECML/PKDD (5) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI ECML/PKDD (6) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII ECML/PKDD (7) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII ECML/PKDD (8) Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2023	B	`ed.`	Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings DS Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu
2023	J	`jnl`	Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations. Inf. Process. Manag. José Pereira Amorim, Pedro H. Abreu, João A. M. Santos, Marc Cortes, Victor Vila
2021	—	`conf`	Using Brain Computer Interaction to Evaluate Problem Solving Abilities. HCI (15) Ana Rita Teixeira, Igor Rodrigues, Anabela Gomes, Pedro H. Abreu, Germán Rodríguez-Bermúdez
2020	B	`conf`	Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos
2020	J	`jnl`	Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun
2020	B	`conf`	Interpretability vs. Complexity: The Friction in Deep Neural Networks. IJCNN José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos
2019	Misc	`conf`	An iterative oversampling approach for ordinal classification. SAC Francisco Marques, Hugo Duarte, João A. M. Santos, Inês Domingues, José Pereira Amorim, Pedro H. Abreu
2019	J	`jnl`	Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
2019	—	`conf`	Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. IbPRIA (2) Ana Catarina Oliveira, Inês Domingues, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
2018	B	`conf`	Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. IDA Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos
2018	B	`conf`	Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. ICIP Inês Domingues, Pedro H. Abreu, João A. M. Santos
2018	B	`conf`	Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. IJCNN Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos
2018	J	`jnl`	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. Miriam Seoane Santos, Pedro H. Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Laencina
2018	C	`conf`	Registration of CT with PET: A Comparison of Intensity-Based Approaches. IWCIA Gisèle Pereira, Inês Domingues, Pedro Martins, Pedro H. Abreu, Hugo Duarte, João A. M. Santos
2014	—	`conf`	Distributed Environment Framework for Optimization Experiments. ICCSA (Workshops/Short Papers/Posters) Pedro H. Abreu, Carlos Soares, Rui Carlos Camacho
2012	J	`jnl`	Effect of the usage of wikis on an educational context. Comput. Appl. Eng. Educ. Pedro H. Abreu, Daniel Castro Silva, Pedro Mendes, Vasco Vinhas
2012	J	`jnl`	Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data. Soft Comput. Pedro H. Abreu, José Moura, Daniel Castro Silva, Luís Paulo Reis, Júlio Garganta
2010	—	`conf`	An Intelligent Framework for Automatic Event Detection in Robotic Soccer Games - An Auxiliar Tool to Help Coaches Improve their Teams' Performance. ICEIS (2) João Portela, Pedro H. Abreu, Luís Paulo Reis, Eugénio C. Oliveira, Júlio Garganta
2010	C	`conf`	Human vs. Robotic Soccer: How Far Are They? A Statistical Comparison. RoboCup Pedro H. Abreu, Israel Costa, Daniel Castelão, Luís Paulo Reis, Júlio Garganta
2009	—	`conf`	Business Intelligence based on a Wi-Fi Real Time Positioning Engine - A Practical Application in a Major Retail Company. ICEIS (1) Vasco Vinhas, Pedro H. Abreu, Pedro Mendes
2009	—	`conf`	Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines. LION Pedro H. Abreu, Carlos Soares, Jorge M. S. Valente
2009	—	`conf`	Strategies for Route Planning on Catastrophe Environments - Coordinating Agents on a Fire Fighting Scenario. ICEIS (2) Pedro H. Abreu, Pedro Mendes
2008	—	`conf`	Business Intelligence through Real-Time Tracking - Using a Location System Towards Behaviour Pattern Extraction. ICE-B Pedro H. Abreu, Vasco Vinhas, Pedro Mendes
2008	—	`conf`	Mastermind: an augment reality approach: [porting a legacy game to new interaction paradigms]. DIMEA Pedro H. Abreu, Pedro Mendes
2008	—	`conf`	Using a Datawarehouse to Extract Knowledge from Robocup Teams. ICEIS (1) Isabel Gonzalez, Pedro H. Abreu, Luís Paulo Reis