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ORCIDPedro H. Abreu
Pedro Henriques Abreu
Person information
- affiliation: University of Coimbra, Portugal
- affiliation (PhD 2011): University of Porto, Portugal
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2020 – today
- 2024
[j39]Juan-Francisco Cabrera-Sánchez, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Esther-Lydia Silva-Ramírez:
A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis. IEEE Access 12: 162399-162411 (2024)- [j38]Ricardo Cardoso Pereira
, Pedro Henriques Abreu, Pedro Pereira Rodrigues, Mário A. T. Figueiredo:
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis. Expert Syst. Appl. 249: 123654 (2024) - [j37]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random. J. Comput. Sci. 78: 102269 (2024) - [c42]Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu:
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification. IDA (1) 2024: 179-190 - [c41]Dylan Perdigão, Tiago Cruz, Paulo Simões, Pedro Henriques Abreu:
Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems. NOMS 2024: 1-5 - [i4]Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu:
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning. CoRR abs/2402.07586 (2024) - [i3]Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu:
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research. CoRR abs/2410.03855 (2024) - 2023
- [j36]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:
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. 56(4): 3473-3504 (2023) - [j35]Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos:
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion 89: 228-253 (2023) - [j34]José Pereira Amorim, Pedro H. Abreu, João A. M. Santos, Marc Cortes, Victor Vila:
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations. Inf. Process. Manag. 60(2): 103225 (2023) - [c40]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
Siamese Autoencoder-Based Approach for Missing Data Imputation. ICCS (1) 2023: 33-46 - [c39]Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Mário A. T. Figueiredo, Pedro Henriques Abreu:
Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation. ICCS (1) 2023: 481-493 - [c38]Teresa Salazar, Miguel Fernandes, Helder Araújo, Pedro Henriques Abreu:
FAIR-FATE: Fair Federated Learning with Momentum. ICCS (1) 2023: 524-538 - [e7]Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu:
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings. Lecture Notes in Computer Science 14276, Springer 2023, ISBN 978-3-031-45274-1 [contents] - [i2]José Pereira Amorim, Pedro Henriques Abreu, João A. M. Santos, Henning Müller:
Evaluating Post-hoc Interpretability with Intrinsic Interpretability. CoRR abs/2305.03002 (2023) - 2022
- [j33]Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos:
On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. 55(8): 6207-6275 (2022) - [j32]Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos:
The impact of heterogeneous distance functions on missing data imputation and classification performance. Eng. Appl. Artif. Intell. 111: 104791 (2022) - [j31]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data. IEEE J. Biomed. Health Informatics 26(8): 4218-4227 (2022) - [c37]Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos:
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology. DSAA 2022: 1-8 - [e6]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso:
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. Lecture Notes in Computer Science 13611, Springer 2022, ISBN 978-3-031-17975-4 [contents] - [i1]Teresa Salazar, Miguel Fernandes, Helder Araújo, Pedro Henriques Abreu:
FAIR-FATE: Fair Federated Learning with Momentum. CoRR abs/2209.13678 (2022) - 2021
- [j30]Teresa Salazar, Miriam Seoane Santos, Helder Araújo, Pedro Henriques Abreu:
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes. IEEE Access 9: 81370-81379 (2021) - [c36]Ana Rita Teixeira, Igor Rodrigues, Anabela Gomes, Pedro H. Abreu, Germán Rodríguez-Bermúdez:
Using Brain Computer Interaction to Evaluate Problem Solving Abilities. HCI (15) 2021: 74-83 - [e5]Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño:
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. Lecture Notes in Computer Science 12721, Springer 2021, ISBN 978-3-030-77210-9 [contents] - [e4]Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama:
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings. Lecture Notes in Computer Science 12695, Springer 2021, ISBN 978-3-030-74250-8 [contents] - [e3]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur:
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. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - 2020
- [j29]Nuno Martins, José Magalhães Cruz, Tiago Cruz, Pedro Henriques Abreu:
Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review. IEEE Access 8: 35403-35419 (2020) - [j28]Inês Domingues, Gisèle Pereira, Pedro Martins, Hugo Duarte, João A. M. Santos, Pedro Henriques Abreu:
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artif. Intell. Rev. 53(6): 4093-4160 (2020) - [j27]Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes. J. Artif. Intell. Res. 69: 1255-1285 (2020) - [j26]Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos:
How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. 136: 111-119 (2020) - [j25]Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun:
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics 24(1): 14-16 (2020) - [c35]Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos:
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME 2020: 486-496 - [c34]Ricardo Cardoso Pereira, Joana Cristo Santos, José Pereira Amorim, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
Missing Image Data Imputation using Variational Autoencoders with Weighted Loss. ESANN 2020: 475-480 - [c33]José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos:
Interpretability vs. Complexity: The Friction in Deep Neural Networks. IJCNN 2020: 1-7 - [c32]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. IJCNN 2020: 1-7 - [c31]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:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [e2]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:
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. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents]
2010 – 2019
- 2019
- [j24]Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu:
Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access 7: 11651-11667 (2019) - [j23]Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu:
Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access 7: 103080-103094 (2019) - [j22]Sara Montagna, Daniel Castro Silva, Pedro Henriques Abreu, Márcia Ito, Michael Ignaz Schumacher, Eloisa Vargiu:
Autonomous agents and multi-agent systems applied in healthcare. Artif. Intell. Medicine 96: 142-144 (2019) - [j21]Pedro Henriques Abreu, Daniel Castro Silva, Anabela Gomes:
Multiple-Choice Questions in Programming Courses: Can We Use Them and Are Students Motivated by Them? ACM Trans. Comput. Educ. 19(1): 6:1-6:16 (2019) - [c30]Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
MNAR Imputation with Distributed Healthcare Data. EPIA (2) 2019: 184-195 - [c29]Nuno Martins, José Magalhães Cruz, Tiago Cruz, Pedro Henriques Abreu:
Analyzing the Footprint of Classifiers in Adversarial Denial of Service Contexts. EPIA (2) 2019: 256-267 - [c28]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Evgheni Polisciuc, Penousal Machado:
A Data Visualization Approach for Intersection Analysis using AIS Data. VISIGRAPP (3: IVAPP) 2019: 208-215 - [c27]Ana Catarina Oliveira, Inês Domingues, Hugo Duarte, João A. M. Santos, Pedro H. Abreu:
Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. IbPRIA (2) 2019: 322-334 - [c26]Francisco Marques, Hugo Duarte, João A. M. Santos, Inês Domingues, José Pereira Amorim, Pedro H. Abreu:
An iterative oversampling approach for ordinal classification. SAC 2019: 771-774 - [d2]Ivo Frazão, Pedro H. Abreu, Tiago Cruz, Helder Araújo, Paulo Simões:
Cyber-security Modbus ICS dataset. IEEE DataPort, 2019
- 2018
- [j20]Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos:
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. IEEE Comput. Intell. Mag. 13(4): 59-76 (2018) - [j19]Miriam Seoane Santos, Pedro H. Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Laencina:
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. 11(1): 1278-1293 (2018) - [c25]Ivo Frazão, Pedro Henriques Abreu, Tiago Cruz, Hélder Araújo, Paulo Simões:
Denial of Service Attacks: Detecting the Frailties of Machine Learning Algorithms in the Classification Process. CRITIS 2018: 230-235 - [c24]José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos:
Interpreting deep learning models for ordinal problems. ESANN 2018 - [c23]Inês Domingues, Pedro H. Abreu, João A. M. Santos:
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. ICIP 2018: 1378-1382 - [c22]Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu:
Missing Data Imputation via Denoising Autoencoders: The Untold Story. IDA 2018: 87-98 - [c21]Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos:
Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. IDA 2018: 200-212 - [c20]Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos:
Exploring the Effects of Data Distribution in Missing Data Imputation. IDA 2018: 251-263 - [c19]Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos:
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. IJCNN 2018: 1-8 - [c18]Gisèle Pereira, Inês Domingues, Pedro Martins, Pedro H. Abreu, Hugo Duarte, João A. M. Santos:
Registration of CT with PET: A Comparison of Intensity-Based Approaches. IWCIA 2018: 134-149 - 2017
- [j18]Daniel Castro Silva, Pedro Henriques Abreu, Luís Paulo Reis, Eugénio C. Oliveira:
Development of flexible languages for scenario and team description in multirobot missions. Artif. Intell. Eng. Des. Anal. Manuf. 31(1): 69-86 (2017) - [j17]Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos:
Image descriptors in radiology images: a systematic review. Artif. Intell. Rev. 47(4): 531-559 (2017) - [j16]Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos:
An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images. BMC Medical Imaging 17(1): 13:1-13:8 (2017) - [j15]Maria José Sousa, Pedro Henriques Abreu, Álvaro Rocha, Daniel Castro Silva:
Guest Editorial: Advances in Knowledge and Information Software Management. IET Softw. 11(3): 75-76 (2017) - [c17]Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos:
Influence of Data Distribution in Missing Data Imputation. AIME 2017: 285-294 - [e1]Sara Montagna, Pedro Henriques Abreu, Sylvain Giroux, Michael Ignaz Schumacher:
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. Lecture Notes in Computer Science 10685, Springer 2017, ISBN 978-3-319-70886-7 [contents] - [d1]Miriam Seoane Santos, Pedro H. Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho:
HCC Survival. UCI Machine Learning Repository, 2017 - 2016
- [j14]Pedro Henriques Abreu, Miriam Seoane Santos, Miguel Henriques Abreu, Bruno Andrade, Daniel Castro Silva:
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review. ACM Comput. Surv. 49(3): 52:1-52:40 (2016) - [j13]Pedro Henriques Abreu, Daniel Castro Silva, Michael Ignaz Schumacher, Luís Paulo Reis, Brígida Mónica Faria, Márcia Ito:
Special Issue JOMS - Journal of Medical Systems, 2016 on Agent-Empowered HealthCare Systems. J. Medical Syst. 40(4): 93:1-93:2 (2016) - [j12]Daniel Castro Silva, Pedro Henriques Abreu, Luís Paulo Reis, Eugénio C. Oliveira:
Development of a flexible language for disturbance description for multi-robot missions. J. Simulation 10(3): 166-181 (2016) - [c16]Anabela Gomes, Fernanda Brito Correia, Pedro Henriques Abreu:
Types of assessing student-programming knowledge. FIE 2016: 1-8 - [c15]André Maia, Tiago Daniel Sá Cunha, Carlos Soares, Pedro Henriques Abreu:
TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter. WorldCIST (1) 2016: 869-878 - 2015
- [j11]Pedro J. García-Laencina, Pedro Henriques Abreu, Miguel Henriques Abreu, Noémia Afonoso:
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values. Comput. Biol. Medicine 59: 125-133 (2015) - [j10]Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho:
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients. J. Biomed. Informatics 58: 49-59 (2015) - [c14]Álvaro Ribeiro, Daniel Castro Silva, Pedro Henriques Abreu:
MoCaS: Mobile Carpooling System. WorldCIST (1) 2015: 913-922 - 2014
- [j9]Pedro Henriques Abreu, Daniel Castro Silva, Fernando Almeida, João Mendes-Moreira:
Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach. Appl. Soft Comput. 23: 180-193 (2014) - [j8]João Cravo, Fernando Almeida, Pedro Henriques Abreu, Luís Paulo Reis, Nuno Lau, Luís Mota:
Strategy planner: Graphical definition of soccer set-plays. Data Knowl. Eng. 94: 110-131 (2014) - [j7]José Capela Dias, Penousal Machado, Daniel Castro Silva, Pedro Henriques Abreu:
An Inverted Ant Colony Optimization approach to traffic. Eng. Appl. Artif. Intell. 36: 122-133 (2014) - [j6]Pedro Henriques Abreu, Daniel Castro Silva, João Portela, João Mendes-Moreira, Luís Paulo Reis:
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent. Intell. Data Anal. 18(5): 973-991 (2014) - [j5]Daniel Castro Silva, Pedro Henriques Abreu, Luís Paulo Reis, Eugénio C. Oliveira:
Development of a flexible language for mission description for multi-robot missions. Inf. Sci. 288: 27-44 (2014) - [c13]Penousal Machado, Tiago Martins, Hugo Amaro, Pedro Henriques Abreu:
An Interface for Fitness Function Design. EvoMUSART 2014: 13-25 - [c12]Pedro H. Abreu, Carlos Soares, Rui Carlos Camacho:
Distributed Environment Framework for Optimization Experiments. ICCSA (Workshops/Short Papers/Posters) 2014: 256-259 - [c11]Flávio Pereira, Daniel Castro Silva, Pedro Henriques Abreu, António Pinho:
Augmented Reality Mobile Tourism Application. WorldCIST (2) 2014: 175-185 - [c10]Delfim Simões, Pedro Henriques Abreu, Daniel Castro Silva:
MusE Central: A Data Aggregation System for Music Events. WorldCIST (2) 2014: 187-197 - 2013
- [j4]Pedro Henriques Abreu, Daniel Castro Silva, João Mendes-Moreira, Luís Paulo Reis, Júlio Garganta:
Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models. Int. J. Comput. Intell. Syst. 6(5): 893-910 (2013) - [j3]Fernando Almeida, Pedro Henriques Abreu, Nuno Lau, Luís Paulo Reis:
An automatic approach to extract goal plans from soccer simulated matches. Soft Comput. 17(5): 835-848 (2013) - 2012
- [j2]Pedro H. Abreu, Daniel Castro Silva, Pedro Mendes, Vasco Vinhas:
Effect of the usage of wikis on an educational context. Comput. Appl. Eng. Educ. 20(4): 646-653 (2012) - [j1]Pedro H. Abreu, José Moura, Daniel Castro Silva, Luís Paulo Reis, Júlio Garganta:
Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data. Soft Comput. 16(1): 47-61 (2012) - [c9]Fernando Almeida, Pedro Henriques Abreu, Nuno Lau, Luís Paulo Reis:
Automatic extraction of goal-scoring behaviors from soccer matches. IROS 2012: 849-856 - 2010
- [c8]João Portela, Pedro H. Abreu, Luís Paulo Reis, Eugénio C. Oliveira, Júlio Garganta:
An Intelligent Framework for Automatic Event Detection in Robotic Soccer Games - An Auxiliar Tool to Help Coaches Improve their Teams' Performance. ICEIS (2) 2010: 244-249 - [c7]Pedro H. Abreu, Israel Costa, Daniel Castelão, Luís Paulo Reis, Júlio Garganta:
Human vs. Robotic Soccer: How Far Are They? A Statistical Comparison. RoboCup 2010: 242-253
2000 – 2009
- 2009
- [c6]Vasco Vinhas, Pedro H. Abreu, Pedro Mendes:
Business Intelligence based on a Wi-Fi Real Time Positioning Engine - A Practical Application in a Major Retail Company. ICEIS (1) 2009: 11-16 - [c5]Pedro H. Abreu, Pedro Mendes:
Strategies for Route Planning on Catastrophe Environments - Coordinating Agents on a Fire Fighting Scenario. ICEIS (2) 2009: 277-280 - [c4]Pedro H. Abreu, Carlos Soares, Jorge M. S. Valente:
Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines. LION 2009: 134-147 - 2008
- [c3]Pedro H. Abreu, Pedro Mendes:
Mastermind: an augment reality approach: [porting a legacy game to new interaction paradigms]. DIMEA 2008: 205-210 - [c2]Isabel Gonzalez, Pedro H. Abreu, Luís Paulo Reis:
Using a Datawarehouse to Extract Knowledge from Robocup Teams. ICEIS (1) 2008: 511-514 - [c1]Pedro H. Abreu, Vasco Vinhas, Pedro Mendes:
Business Intelligence through Real-Time Tracking - Using a Location System Towards Behaviour Pattern Extraction. ICE-B 2008: 51-57
Coauthor Index
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