| 2026 | IDA | Grasynda: Graph-Based Synthetic Time Series Generation. | Luis Amorim, Moiss Santos, Paulo J. Azevedo, Carlos Soares, Vtor Cerqueira |
| 2025 | AAAI | Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. | Luis Roque, Vtor Cerqueira, Carlos Soares, Lus Torgo |
| 2025 | DIS | tsMIST: Model Sensitivity Analysis with Time Series Morphing. | Antnia Brito, Moiss Santos, Duarte Folgado, Carlos Soares |
| 2025 | DIS | Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. | Carlos Soares, Paulo J. Azevedo, Vtor Cerqueira, Lus Torgo |
| 2025 | DIS | Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data. | Ctia Teixeira, Ins Gomes, Carlos Soares, Jan N. van Rijn |
| 2025 | EPIA | Online Data Augmentation for Forecasting with Deep Learning. | Vtor Cerqueira, Moiss Santos, Luis Roque, Yassine Baghoussi, Carlos Soares |
| 2025 | EPIA | Subgroup Discovery Using Model Uncertainty: A Feasibility Study. | Ana Cravido Pereira, Duarte Folgado, Marlia Barandas, Carlos Soares, Andr V. Carreiro |
| 2025 | EPIA | Benchmarking Time Series Feature Extraction for Algorithm Selection. | Moiss Rocha dos Santos, Vtor Cerqueira, Carlos Soares |
| 2025 | EPIA | A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks. | Francisco dos Santos Viana, Bianca Valria L. Pereira, Moiss Santos, Carlos Soares, Areolino de Almeida Neto |
| 2025 | ICDM | Read-write LSTM: A Novel Approach Integrating Backpropagation to Data in LSTM. | Yassine Baghoussi, Carlos Soares, Joo Mendes-Moreira |
| 2025 | IDA | Meta-learning and Data Augmentation for Stress Testing Forecasting Models. | Ricardo Incio, Vtor Cerqueira, Marlia Barandas, Carlos Soares |
| 2025 | VLDB | UxV-DPN: Utility-vs-Value Data Pricing and Negotiation Mechanism in Machine Learning Data Marketplace. | Hajar Baghcheband, Carlos Soares, Lus Paulo Reis |
| 2024 | DIS | CNP-MLDM: Contract Net Protocol for Negotiation in Machine Learning Data Market. | Hajar Baghcheband, Carlos Soares, Lus Paulo Reis |
| 2024 | DIS | Forecasting with Deep Learning: Beyond Average of Average of Average Performance. | Vtor Cerqueira, Luis Roque, Carlos Soares |
| 2024 | ECAI | Fair-OBNC: Correcting Label Noise for Fairer Datasets. | Ins Oliveira e Silva, Srgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Ins Sousa, Pedro Bizarro, Carlos Soares |
| 2024 | EPIA | Time Series Data Augmentation as an Imbalanced Learning Problem. | Vtor Cerqueira, Nuno Moniz, Ricardo Incio, Carlos Soares |
| 2024 | EPIA | An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting. | Ricardo Urjais Gomes, Carlos Soares, Lus Paulo Reis |
| 2024 | EPIA | Lag Selection for Univariate Time Series Forecasting Using Deep Learning: An Empirical Study. | Jos Leites, Vtor Cerqueira, Carlos Soares |
| 2024 | EPIA | Meta-TadGAN: Time Series Anomaly Detection Using TadGAN with Meta-features. | Ins Oliveira e Silva, Carlos Soares, Vtor Cerqueira, Arlete Rodrigues, Pedro Bastardo |
| 2024 | EPIA | GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss. | Ctia Teixeira, Ins Gomes, Lus Cunha, Carlos Soares, Jan N. van Rijn |
| 2024 | IDA | Kernel Corrector LSTM. | Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, Joo Mendes-Moreira |
| 2024 | ISMIS | Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM). | Hajar Baghcheband, Carlos Soares, Lus Paulo Reis |
| 2024 | KDD | RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. | Luis Roque, Carlos Soares, Lus Torgo |
| 2024 | VISIGRAPP | Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images. | Thales R. S. Lopes, Guilherme Freire Roberto, Carlos Soares, Thana A. A. Tosta, Adriano Barbosa-Silva, Adriano M. Loyola, Srgio V. Cardoso, Paulo Rogrio de Faria, Marcelo Zanchetta do Nascimento, Leandro Alves Neves |
| 2023 | CIARP | Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification. | Guilherme Freire Roberto, Danilo Cesar Pereira, Alessandro Santana Martins, Thana A. A. Tosta, Carlos Soares, Alessandra Lumini, Guilherme Botazzo Rozendo, Leandro Alves Neves, Marcelo Zanchetta do Nascimento |
| 2023 | DIS | Exploring the Reduction of Configuration Spaces of Workflows. | Fernando Freitas, Pavel Brazdil, Carlos Soares |
| 2023 | EPIA | Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance. | Hajar Baghcheband, Carlos Soares, Lus Paulo Reis |
| 2023 | IDA | GASTeN: Generative Adversarial Stress Test Networks. | Lus Cunha, Carlos Soares, Andr Restivo, Lus F. Teixeira |
| 2022 | ADMA | Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. | Pedro Strecht, Joo Mendes-Moreira, Carlos Soares |
| 2022 | IDA | On Usefulness of Outlier Elimination in Classification Tasks. | Dusan Hetlerovic, Lubos Popelnsk, Pavel Brazdil, Carlos Soares, Fernando Freitas |
| 2021 | ICAART | Novelty Detection in Physical Activity. | Bernardo Leite, Amr Abdalrahman, Joo Castro, Julieta Frade, Joo Moreira, Carlos Soares |
| 2021 | ICDM | Promoting Fairness through Hyperparameter Optimization. | Andr Ferreira Cruz, Pedro Saleiro, Catarina G. Belm, Carlos Soares, Pedro Bizarro |
| 2021 | PRICAI | Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM. | Filipa Barros, Vtor Cerqueira, Carlos Soares |
| 2020 | AICCSA | FILLET - Platform for Intelligent Nutrition. | David Ribeiro, Joo Costa, Ins Lopes, Telmo Barbosa, Carlos Soares, Filipe Sousa, Jorge Ribeiro, Duarte Rocha, Marlos Silva |
| 2020 | ICDM | $\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems. | Tomas Sousa Pereira, Tiago Cunha, Carlos Soares |
| 2020 | INISTA | Factual Question Generation for the Portuguese Language. | Bernardo Leite, Henrique Lopes Cardoso, Lus Paulo Reis, Carlos Soares |
| 2019 | DIS | Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. | Vtor Cerqueira, Lus Torgo, Carlos Soares |
| 2019 | DIS | Dataset Morphing to Analyze the Performance of Collaborative Filtering. | Andr Correia, Carlos Soares, Alpio Jorge |
| 2019 | DIS | KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. | Adriano Rivolli, Catarina Amaral, Lus Guardo, Cludio Rebelo de S, Carlos Soares |
| 2018 | DIS | CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2018 | IDA | Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. | Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, Joo A. M. Santos |
| 2018 | IDEAL | Machine Learning for Drugs Prescription. | Pedro Oliveira da Silva, Adriano Rivolli, Pedro Rocha, Francisco Correia, Carlos Soares |
| 2018 | RecSys | CF4CF: recommending collaborative filtering algorithms using collaborative filtering. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2018 | SAC | A label ranking approach for selecting rankings of collaborative filtering algorithms. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2017 | DIS | Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2017 | EPIA | Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects. | Pedro Saleiro, Lus Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugnio C. Oliveira |
| 2017 | IWANN | Arbitrated Ensemble for Solar Radiation Forecasting. | Vtor Cerqueira, Lus Torgo, Carlos Soares |
| 2017 | RecSys | Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2017 | SIGIR | RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. | Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares |
| 2017 | SIGIR | Early Fusion Strategy for Entity-Relationship Retrieval. | Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares |
| 2016 | DIS | Exceptional Preferences Mining. | Cludio Rebelo de S, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe |
| 2016 | ECIR | TimeMachine: Entity-Centric Search and Visualization of News Archives. | Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugnio C. Oliveira |
| 2016 | HAIS | Can Metalearning Be Applied to Transfer on Heterogeneous Datasets? | Catarina Flix, Carlos Soares, Alpio Jorge |
| 2016 | IC3K | AToMRS: A Tool to Monitor Recommender Systems. | Andr Costa, Tiago Cunha, Carlos Soares |
| 2016 | IDA | Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. | Vtor Cerqueira, Fbio Pinto, Cludio Rebelo de S, Carlos Soares |
| 2016 | IDA | Learning from the News: Predicting Entity Popularity on Twitter. | Pedro Saleiro, Carlos Soares |
| 2016 | PAKDD | Towards Automatic Generation of Metafeatures. | Fbio Pinto, Carlos Soares, Joo Mendes-Moreira |
| 2016 | WorldCIST | TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter. | Andr Maia, Tiago Daniel S Cunha, Carlos Soares, Pedro Henriques Abreu |
| 2016 | WorldCIST | RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. | Tomy Rodrigues, Tiago Daniel S Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares |
| 2015 | EDM | A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. | Pedro Strecht, Luis Cruz, Carlos Soares, Joo Mendes-Moreira, Rui Abreu |
| 2015 | EPIA | Distance-Based Decision Tree Algorithms for Label Ranking. | Cludio Rebelo de S, Carla Rebelo, Carlos Soares, Arno J. Knobbe |
| 2015 | IBPRIA | Estimating Fuel Consumption from GPS Data. | Afonso Vilaa, Ana Aguiar, Carlos Soares |
| 2015 | IJCNN | Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics. | Mohammad Nozari Zarmehri, Carlos Soares |
| 2015 | IDA | Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels. | Mohammad Nozari Zarmehri, Carlos Soares |
| 2014 | ADMA | TweeProfiles: Detection of Spatio-temporal Patterns on Twitter. | Tiago Daniel S Cunha, Carlos Soares, Eduarda Mendes Rodrigues |
| 2014 | ADMA | An Empirical Methodology to Analyze the Behavior of Bagging. | Fbio Pinto, Carlos Soares, Joo Mendes-Moreira |
| 2014 | ADMA | Merging Decision Trees: A Case Study in Predicting Student Performance. | Pedro Strecht, Joo Mendes-Moreira, Carlos Soares |
| 2014 | ECAI | A Framework To Decompose And Develop Metafeatures. | Fbio Pinto, Carlos Soares, Joo Mendes-Moreira |
| 2014 | ICCSA | Distributed Environment Framework for Optimization Experiments. | Pedro H. Abreu, Carlos Soares, Rui Carlos Camacho |
| 2014 | ICCSA | Monitoring Recommender Systems: A Business Intelligence Approach. | Catarina Flix, Carlos Soares, Alpio Jorge, Joo Vinagre |
| 2013 | DIS | Multi-interval Discretization of Continuous Attributes for Label Ranking. | Cludio Rebelo de S, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alpio Mrio Jorge |
| 2013 | IJCNN | Active selection of training instances for a random forest meta-learner. | Arthur F. M. Sousa, Ricardo B. C. Prudncio, Carlos Soares, Teresa Bernarda Ludermir |
| 2012 | ADMA | Integrating Data Mining and Optimization Techniques on Surgery Scheduling. | Carlos Gomes, Bernardo Almada-Lobo, Jos Lus Cabral de Moura Borges, Carlos Soares |
| 2012 | ICANN | Multilayer Perceptron for Label Ranking. | Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe |
| 2012 | ICCSA | An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. | Pricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudncio, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares |
| 2012 | ICONIP | A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. | Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2012 | IJCNN | Multi-objective optimization and Meta-learning for SVM parameter selection. | Pricles B. C. Miranda, Ricardo Bastos Cavalcante Prudncio, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares |
| 2012 | IDA | Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. | Alpio Mrio Jorge, Joo Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo |
| 2012 | SMC | Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. | Pricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudncio, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares |
| 2011 | HAIS | Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. | Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir |
| 2011 | ICANN | Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. | Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir |
| 2011 | ICMLA | Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. | Jorge Y. Kanda, Andr Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares |
| 2011 | IJCNN | Uncertainty sampling methods for selecting datasets in active meta-learning. | Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir |
| 2011 | PAKDD | Mining Association Rules for Label Ranking. | Cludio Rebelo de S, Carlos Soares, Alpio Mrio Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa |
| 2010 | DIS | A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation. | Artur Aiguzhinov, Carlos Soares, Ana Paula Serra |
| 2010 | IJCNN | A comprehensive comparison of ML algorithms for gene expression data classification. | Bruno Feres de Souza, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares |
| 2010 | ISoLA | Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL. | Carlos Soares, Miguel Calejo |
| 2009 | EPIA | Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. | Lus Torgo, Welma Pereira, Carlos Soares |
| 2009 | PAKDD | The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. | Joo Mendes-Moreira, Carlos Soares, Alpio Mrio Jorge, Jorge Freire de Sousa |
| 2009 | PAKDD | UCI++: Improved Support for Algorithm Selection Using Datasetoids. | Carlos Soares |
| 2008 | HIS | Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. | Andr L. D. Rossi, Andr C. P. L. F. de Carvalho, Carlos Soares |
| 2008 | HIS | Metalearning for Gene Expression Data Classification. | Bruno Feres de Souza, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares |
| 2008 | ICONIP | Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. | Andr L. D. Rossi, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2007 | EPIA | Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study. | Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alpio Mrio Jorge, Rui Brando |
| 2007 | PAKDD | Applications of Data Mining in E-Business Finance: Introduction. | Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou |
| 2006 | ISMIS | Improving SVM-Linear Predictions Using CART for Example Selection. | Joo Mendes-Moreira, Alpio Mrio Jorge, Carlos Soares, Jorge Freire de Sousa |
| 2006 | SAC | Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. | Carlos Soares, Pavel Brazdil |
| 2005 | EPIA | Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining. | Carlos Soares, Alpio Mrio Jorge, Marcos Aurlio Domingues |
| 2003 | EPIA | Is the UCI Repository Useful for Data Mining? | Carlos Soares |
| 2002 | DIS | Improved Dataset Characterisation for Meta-learning. | Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil |
| 2001 | EPIA | Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. | Pavel Brazdil, Carlos Soares, Rui Pereira |
| 2001 | EPIA | Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. | Carlos Soares, Johann Petrak, Pavel Brazdil |