Soares, Carlos

30 publications

AAAI 2025 Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine Luis Roque, Vítor Cerqueira, Carlos Soares, Luís Torgo

ECML-PKDD 2025 Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection Ricardo Ribeiro Pereira, Jacopo Bono, Hugo M. Ferreira, Pedro Ribeiro, Carlos Soares, Pedro Bizarro

ECML-PKDD 2025 MASTFM: Meta-Learning and Data Augmentation to Stress Test Forecasting Models Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares

ECML-PKDD 2025 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 Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 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 Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 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 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

MLJ 2025 Mast: Interpretable Stress Testing via Meta-Learning for Forecasting Model Robustness Evaluation Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares

MLJ 2025 Modelradar: Aspect-Based Forecast Evaluation Vítor Cerqueira, Luis Roque, Carlos Soares

MLJ 2024 VEST: Automatic Feature Engineering for Forecasting Vítor Cerqueira, Nuno Moniz, Carlos Soares

MLJ 2023 Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes Vítor Cerqueira, Luís Torgo, Carlos Soares

MLJ 2020 An Empirical Analysis of Binary Transformation Strategies and Base Algorithms for Multi-Label Learning Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho

MLJ 2019 Arbitrage of Forecasting Experts Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares

ECML-PKDD 2018 Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz

MLJ 2018 Discovering a Taste for the Unusual: Exceptional Models for Preference Mining Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe

ECML-PKDD 2017 Arbitrated Ensemble for Time Series Forecasting Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares

ECML-PKDD 2016 CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers Fábio Pinto, Carlos Soares, João Mendes-Moreira

ECML-PKDD 2016 Selecting Collaborative Filtering Algorithms Using Metalearning Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho

ECML-PKDD 2015 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge

ECML-PKDD 2015 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares

ECML-PKDD 2013 Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models Fábio Pinto, Carlos Soares

MLJ 2004 A Meta-Learning Method to Select the Kernel Width in Support Vector Regression Carlos Soares, Pavel Brazdil, Petr Kuba

MLJ 2003 Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa

ECML-PKDD 2000 A Comparison of Ranking Methods for Classification Algorithm Selection Pavel Brazdil, Carlos Soares