Carlos Soares - RankMe

274 papers A* 5A 4B 34C 13Misc 11Journal 96Unranked 88

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression. CoRR Abolfazl Mohammadi-Seif, Carlos Soares, Rita P. Ribeiro, Ricardo Baeza-Yates
2026	—	`conf`	Classification of Phonetic Syllables Using Stacked Autoencoder and Characterization via Centroid. ICAIIC Francisco dos Santos Viana, Carlos Eduardo Nascimento Cajado, Samuel Magalhes Pereira, Alexandre César Muniz de Oliveira, Carlos Soares, Areolino de Almeida Neto
2026	J	`jnl`	Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation. CoRR Aníbal Silva, Moisés Santos, André Restivo, Carlos Soares
2026	B	`conf`	Grasynda: Graph-Based Synthetic Time Series Generation. IDA Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
2026	J	`jnl`	Grasynda: Graph-based Synthetic Time Series Generation. CoRR Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
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
2025	—	`conf`	A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks. EPIA (1) Francisco dos Santos Viana, Bianca Valéria L. Pereira, Moisés Santos, Carlos Soares, Areolino de Almeida Neto
2025	—	`conf`	Benchmarking Time Series Feature Extraction for Algorithm Selection. EPIA (1) Moisés Rocha dos Santos, Vítor Cerqueira, Carlos Soares
2025	A*	`conf`	Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. AAAI Luis Roque, Vítor Cerqueira, Carlos Soares, Luís Torgo
2025	—	`conf`	Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection. ECML/PKDD (9) Ricardo Ribeiro Pereira, Jacopo Bono, Hugo M. Ferreira, Pedro Ribeiro, Carlos Soares, Pedro Bizarro
2025	J	`jnl`	Exploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images. Pattern Recognit. Lett. Guilherme Freire Roberto, Danilo Cesar Pereira, Alessandro Santana Martins, Thaína A. A. Tosta, Carlos Soares, Alessandra Lumini, Guilherme Botazzo Rozendo, Leandro Alves Neves, Marcelo Zanchetta do Nascimento
2025	J	`jnl`	Generating Large Semi-Synthetic Graphs of Any Size. CoRR Rodrigo Tuna, Carlos Soares
2025	B	`conf`	Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data. DS Cátia Teixeira, Inês Gomes, Carlos Soares, Jan N. van Rijn
2025	J	`jnl`	L-GTA: Latent Generative Modeling for Time Series Augmentation. CoRR Luis Roque, Carlos Soares, Vítor Cerqueira, Luís Torgo
2025	—	`conf`	MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting Models. ECML/PKDD (10) Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2025	J	`jnl`	METAFORE: algorithm selection for decomposition-based forecasting combinations. Int. J. Data Sci. Anal. Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares
2025	J	`jnl`	Mast: interpretable stress testing via meta-learning for forecasting model robustness evaluation. Mach. Learn. Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2025	B	`conf`	Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. DS Carlos Soares, Paulo J. Azevedo, Vítor Cerqueira, Luís Torgo
2025	B	`conf`	Meta-learning and Data Augmentation for Stress Testing Forecasting Models. IDA Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2025	J	`jnl`	ModelRadar: Aspect-based Forecast Evaluation. CoRR Vítor Cerqueira, Luis Roque, Carlos Soares
2025	J	`jnl`	Modelradar: aspect-based forecast evaluation. Mach. Learn. Vítor Cerqueira, Luis Roque, Carlos Soares
2025	—	`conf`	Online Data Augmentation for Forecasting with Deep Learning. EPIA (1) Vítor Cerqueira, Moisés Santos, Luis Roque, Yassine Baghoussi, Carlos Soares
2025	A*	`conf`	Read-write LSTM: A Novel Approach Integrating Backpropagation to Data in LSTM. ICDM Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
2025	J	`jnl`	Reducing algorithm configuration spaces for efficient search. Int. J. Data Sci. Anal. Fernando Freitas, Pavel Brazdil, Carlos Soares
2025	J	`jnl`	SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards. CoRR João Vitorino, Eva Maia, Isabel Praça, Carlos Soares
2025	J	`jnl`	Simulating Biases for Interpretable Fairness in Offline and Online Classifiers. CoRR Ricardo Inácio, Zafeiris Kokkinogenis, Vítor Cerqueira, Carlos Soares
2025	—	`conf`	Subgroup Discovery Using Model Uncertainty: A Feasibility Study. EPIA (1) Ana Cravidão Pereira, Duarte Folgado, Marília Barandas, Carlos Soares, André V. Carreiro
2025	B	`conf`	tsMIST: Model Sensitivity Analysis with Time Series Morphing. DS Antónia Brito, Moisés Santos, Duarte Folgado, Carlos Soares
2024	—	`conf`	An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting. EPIA (3) Ricardo Urjais Gomes, Carlos Soares, Luís Paulo Reis
2024	—	`conf`	Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images. VISIGRAPP (2): VISAPP Thales R. S. Lopes, Guilherme Freire Roberto, Carlos Soares, Thaína A. A. Tosta, Adriano Barbosa-Silva, Adriano M. Loyola, Sérgio V. Cardoso, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento, Leandro Alves Neves
2024	—	`conf`	CNP-MLDM: Contract Net Protocol for Negotiation in Machine Learning Data Market. DS (LB) Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
2024	J	`jnl`	Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. CoRR Luis Roque, Carlos Soares, Vítor Cerqueira, Luís Torgo
2024	J	`jnl`	Corrector LSTM: built-in training data correction for improved time-series forecasting. Neural Comput. Appl. Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
2024	—	`conf`	Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation. AEQUITAS@ECAI Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares
2024	—	`conf`	Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches. LOD (1) Pedro Strecht, João Mendes-Moreira, Carlos Soares
2024	A	`conf`	Fair-OBNC: Correcting Label Noise for Fairer Datasets. ECAI Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares
2024	J	`jnl`	Fair-OBNC: Correcting Label Noise for Fairer Datasets. CoRR Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares
2024	J	`jnl`	Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision Boundary. CoRR Inês Gomes, Luís F. Teixeira, Jan N. van Rijn, Carlos Soares, André Restivo, Luís Cunha, Moisés Santos
2024	—	`conf`	Forecasting with Deep Learning: Beyond Average of Average of Average Performance. DS (1) Vítor Cerqueira, Luis Roque, Carlos Soares
2024	J	`jnl`	Forecasting with Deep Learning: Beyond Average of Average of Average Performance. CoRR Vítor Cerqueira, Luis Roque, Carlos Soares
2024	—	`conf`	GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss. EPIA (2) Cátia Teixeira, Inês Gomes, Luís Cunha, Carlos Soares, Jan N. van Rijn
2024	—	`conf`	Kernel Corrector LSTM. IDA (2) Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
2024	J	`jnl`	Kernel Corrector LSTM. CoRR Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
2024	—	`conf`	Lag Selection for Univariate Time Series Forecasting Using Deep Learning: An Empirical Study. EPIA (3) José Leites, Vítor Cerqueira, Carlos Soares
2024	J	`jnl`	Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study. CoRR José Leites, Vítor Cerqueira, Carlos Soares
2024	J	`jnl`	Machine Learning Data Market Based on Multiagent Systems. IEEE Internet Comput. Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
2024	—	`conf`	Meta-TadGAN: Time Series Anomaly Detection Using TadGAN with Meta-features. EPIA (3) Inês Oliveira e Silva, Carlos Soares, Vítor Cerqueira, Arlete Rodrigues, Pedro Bastardo
2024	J	`jnl`	Meta-learning and Data Augmentation for Stress Testing Forecasting Models. CoRR Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2024	J	`jnl`	Multidimensional subgroup discovery on event logs. Expert Syst. Appl. Joel Ribeiro, Tânia Fontes, Carlos Soares, José Luís Borges
2024	J	`jnl`	On-the-fly Data Augmentation for Forecasting with Deep Learning. CoRR Vítor Cerqueira, Moisés Rocha dos Santos, Yassine Baghoussi, Carlos Soares
2024	A*	`conf`	RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. KDD Luis Roque, Carlos Soares, Luís Torgo
2024	J	`jnl`	RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. CoRR Luis Roque, Carlos Soares, Luís Torgo
2024	B	`conf`	RIFF: Inducing Rules for Fraud Detection from Decision Trees. RuleML+RR Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro
2024	J	`jnl`	RIFF: Inducing Rules for Fraud Detection from Decision Trees. CoRR João Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro
2024	J	`jnl`	Screen-level bureaucrats in the age of algorithms: An ethnographic study of algorithmically supported public service workers in the Netherlands Police. Inf. Polity Carlos Soares, Stephan G. Grimmelikhuijsen, Albert Meijer
2024	C	`conf`	Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM). ISMIS Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
2024	J	`jnl`	Tabular data generation with tensor contraction layers and transformers. CoRR Aníbal Silva, André Restivo, Moisés Santos, Carlos Soares
2024	—	`conf`	Time Series Data Augmentation as an Imbalanced Learning Problem. EPIA (2) Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
2024	J	`jnl`	Time Series Data Augmentation as an Imbalanced Learning Problem. CoRR Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
2024	J	`jnl`	VEST: automatic feature engineering for forecasting. Mach. Learn. Vítor Cerqueira, Nuno Moniz, Carlos Soares
2023	C	`conf`	Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification. CIARP Guilherme Freire Roberto, Danilo Cesar Pereira, Alessandro Santana Martins, Thaína A. A. Tosta, Carlos Soares, Alessandra Lumini, Guilherme Botazzo Rozendo, Leandro Alves Neves, Marcelo Zanchetta do Nascimento
2023	J	`jnl`	Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes. Mach. Learn. Vítor Cerqueira, Luís Torgo, Carlos Soares
2023	B	`conf`	Exploring the Reduction of Configuration Spaces of Workflows. DS Fernando Freitas, Pavel Brazdil, Carlos Soares
2023	B	`conf`	GASTeN: Generative Adversarial Stress Test Networks. IDA Luís Cunha, Carlos Soares, André Restivo, Luís F. Teixeira
2023	—	`conf`	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance. EPIA (1) Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
2023	J	`jnl`	Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators. Neural Process. Lett. Vítor Cerqueira, Luís Torgo, Carlos Soares
2023	—	`conf`	PrivateCTGAN: Adapting GAN for Privacy-Aware Tabular Data Sharing. PKDD/ECML Workshops (2) Frederico Lopes, Carlos Soares, Paulo Cortez
2023	—	`conf`	Symbolic Data Analysis to Improve Completeness of Model Combination Methods. AI (2) Pedro Strecht, João Mendes-Moreira, Carlos Soares
2023	—	`conf`	Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. AI (2) Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
2023	J	`jnl`	Systematic analysis of the impact of label noise correction on ML Fairness. CoRR Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
2023	J	`jnl`	tsMorph: generation of semi-synthetic time series to understand algorithm performance. CoRR Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares
2022	J	`jnl`	A case study comparing machine learning with statistical methods for time series forecasting: size matters. J. Intell. Inf. Syst. Vítor Cerqueira, Luís Torgo, Carlos Soares
2022	—	`conf`	Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. ADMA (2) Pedro Strecht, João Mendes-Moreira, Carlos Soares
2022	—	`conf`	Machine Learning Data Markets: Trading Data using a Multi-Agent System. WI/IAT Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
2022	J	`jnl`	Meta-features for meta-learning. Knowl. Based Syst. Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2022	B	`conf`	On Usefulness of Outlier Elimination in Classification Tasks. IDA Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil, Carlos Soares, Fernando Freitas
2022	—	`conf`	On Usefulness of Outlier Elimination in Classification Tasks: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD Dusan Hetlerovic, Lubos Popelínský, Pavel Bradi, Carlos Soares, Fernando Freitas
2022	J	`jnl`	On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
2021	B	`ed.`	Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings DS Carlos Soares, Luís Torgo
2021	—	`conf`	Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM. PRICAI (1) Filipa Barros, Vítor Cerqueira, Carlos Soares
2021	J	`jnl`	Inmplode: A framework to interpret multiple related rule-based models. Expert Syst. J. Knowl. Eng. Pedro Strecht, João Mendes-Moreira, Carlos Soares
2021	J	`jnl`	Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares
2021	J	`jnl`	Micro-MetaStream: Algorithm selection for time-changing data. Inf. Sci. André Luis Debiaso Rossi, Carlos Soares, Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho
2021	J	`jnl`	Model Compression for Dynamic Forecast Combination. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet
2021	J	`jnl`	Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares
2021	—	`conf`	Novelty Detection in Physical Activity. ICAART (2) Bernardo Leite, Amr Abdalrahman, João Castro, Julieta Frade, João Moreira, Carlos Soares
2021	J	`jnl`	Pastprop-RNN: improved predictions of the future by correcting the past. CoRR André Baptista, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira, Miguel Arantes
2021	A*	`conf`	Promoting Fairness through Hyperparameter Optimization. ICDM André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro
2021	J	`jnl`	Promoting Fairness through Hyperparameter Optimization. CoRR André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro
2021	J	`jnl`	u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems. CoRR Tomas Sousa Pereira, Tiago Cunha, Carlos Soares
2020	—	`conf`	$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems. ICDM (Workshops) Tomas Sousa Pereira, Tiago Cunha, Carlos Soares
2020	J	`jnl`	A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization. CoRR André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro
2020	J	`jnl`	An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2020	J	`jnl`	Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares
2020	C	`conf`	FILLET - Platform for Intelligent Nutrition. AICCSA David Ribeiro, João Costa, Inês Lopes, Telmo Barbosa, Carlos Soares, Filipe Sousa, Jorge Ribeiro, Duarte Rocha, Marlos Silva
2020	C	`conf`	Factual Question Generation for the Portuguese Language. INISTA Bernardo Leite, Henrique Lopes Cardoso, Luís Paulo Reis, Carlos Soares
2020	—	`conf`	Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. CLEF (Working Notes) João Costa, Inês Lopes, André V. Carreiro, David Ribeiro, Carlos Soares
2020	—	`conf`	Underground Train Tracking using Mobile Phone Accelerometer Data. ITSC Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares
2020	J	`jnl`	VEST: Automatic Feature Engineering for Forecasting. CoRR Vítor Cerqueira, Nuno Moniz, Carlos Soares
2019	J	`jnl`	Arbitrage of forecasting experts. Mach. Learn. Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
2019	—	`conf`	Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks. SOCO Cláudio Rebelo de Sá, Arvind Kumar Shekar, Hugo M. Ferreira, Carlos Soares
2019	J	`jnl`	Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem. Expert Syst. Appl. Alvaro Neuenfeldt Júnior, Elsa Silva, Antonio Miguel Gomes, Carlos Soares, José Fernando Oliveira
2019	B	`conf`	Dataset Morphing to Analyze the Performance of Collaborative Filtering. DS André Correia, Carlos Soares, Alípio Jorge
2019	B	`conf`	KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. DS Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares
2019	B	`conf`	Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. DS Vítor Cerqueira, Luís Torgo, Carlos Soares
2019	J	`jnl`	Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares
2019	J	`jnl`	Preference rules for label ranking: Mining patterns in multi-target relations. CoRR Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe
2018	—	`conf`	A Framework for Analytical Approaches to Combine Interpretable Models. SIMBig Pedro Strecht, João Mendes-Moreira, Carlos Soares
2018	Misc	`conf`	A label ranking approach for selecting rankings of collaborative filtering algorithms. SAC Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	J	`jnl`	Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. CoRR Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
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	—	`conf`	Bandit-Based Automated Machine Learning. BRACIS Silvia Nunes das Dôres, Carlos Soares, Duncan D. Ruiz
2018	J	`jnl`	Building robust prediction models for defective sensor data using Artificial Neural Networks. CoRR Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares
2018	B	`conf`	CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. DS Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	J	`jnl`	CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering. CoRR Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	A	`conf`	CF4CF: recommending collaborative filtering algorithms using collaborative filtering. RecSys Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	—	`conf`	Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz
2018	J	`jnl`	Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe
2018	J	`jnl`	Enhancing multilabel classification for food truck recommendation. Expert Syst. J. Knowl. Eng. Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
2018	J	`jnl`	Entity-Relationship Search over the Web. CoRR Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2018	—	`conf`	Generalizing Knowledge in Decentralized Rule-Based Models. DMLE/IOTSTREAMING@PKDD/ECML Pedro Strecht, João Mendes-Moreira, Carlos Soares
2018	—	`conf`	Label Expansion for Multi-label Classification. BRACIS Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
2018	—	`conf`	Machine Learning for Drugs Prescription. IDEAL (1) Pedro Oliveira da Silva, Adriano Rivolli, Pedro Rocha, Francisco Correia, Carlos Soares
2018	J	`jnl`	Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. Inf. Sci. Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	J	`jnl`	Preference rules for label ranking: Mining patterns in multi-target relations. Inf. Fusion Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe
2018	J	`jnl`	Smart energy management as a means towards improved energy efficiency. CoRR Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe
2018	J	`jnl`	Towards Reproducible Empirical Research in Meta-Learning. CoRR Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2018	J	`jnl`	cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. CoRR Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017	J	`jnl`	A guidance of data stream characterization for meta-learning. Intell. Data Anal. André Luis Debiaso Rossi, Bruno Feres de Souza, Carlos Soares, André Carlos Ponce de Leon Ferreira de Carvalho
2017	—	`conf`	Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) Vítor Cerqueira, Luís Torgo, Carlos Soares
2017	—	`conf`	Arbitrated Ensemble for Time Series Forecasting. ECML/PKDD (2) Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
2017	—	`conf`	Early Fusion Strategy for Entity-Relationship Retrieval. KG4IR@SIGIR Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017	J	`jnl`	Early Fusion Strategy for Entity-Relationship Retrieval. CoRR Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017	—	`conf`	Effect of Metalearning on Feature Selection Employment. AutoML@PKDD/ECML Silvia Nunes das Dôres, Carlos Soares, Duncan D. A. Ruiz
2017	—	`conf`	FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. SemEval@ACL Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017	J	`jnl`	FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. CoRR Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017	—	`ch.`	Inductive Transfer. Encyclopedia of Machine Learning and Data Mining Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
2017	J	`jnl`	Label Ranking Forests. Expert Syst. J. Knowl. Eng. Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez
2017	Misc	`conf`	Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects. EPIA Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017	J	`jnl`	Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects. CoRR Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017	A	`conf`	Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. RecSys Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017	—	`ch.`	Metalearning. Encyclopedia of Machine Learning and Data Mining Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares
2017	A*	`conf`	RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. SIGIR Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017	J	`jnl`	RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. CoRR Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017	B	`conf`	Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. DS Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017	J	`jnl`	TexRep: A Text Mining Framework for Online Reputation Monitoring. New Gener. Comput. Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira
2017	—	`conf`	autoBagging: Learning to Rank Bagging Workflows with Metalearning. AutoML@PKDD/ECML Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
2017	J	`jnl`	autoBagging: Learning to Rank Bagging Workflows with Metalearning. CoRR Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
2016	—	`conf`	AToMRS: A Tool to Monitor Recommender Systems. KDIR André Costa, Tiago Cunha, Carlos Soares
2016	J	`jnl`	Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares
2016	B	`ed.`	Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings IDA Henrik Boström, Arno J. Knobbe, Carlos Soares, Panagiotis Papapetrou
2016	—	`conf`	CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers. ECML/PKDD (1) Fábio Pinto, Carlos Soares, João Mendes-Moreira
2016	Misc	`conf`	Can Metalearning Be Applied to Transfer on Heterogeneous Datasets? HAIS Catarina Félix, Carlos Soares, Alípio Jorge
2016	C	`conf`	Collaborative Data Analysis in Hyperconnected Transportation Systems. PRO-VE Mohammad Nozari Zarmehri, Carlos Soares
2016	B	`conf`	Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. IDA Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares
2016	J	`jnl`	Entropy-based discretization methods for ranking data. Inf. Sci. Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe
2016	B	`conf`	Exceptional Preferences Mining. DS Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
2016	B	`conf`	Learning from the News: Predicting Entity Popularity on Twitter. IDA Pedro Saleiro, Carlos Soares
2016	J	`jnl`	Learning from the News: Predicting Entity Popularity on Twitter. CoRR Pedro Saleiro, Carlos Soares
2016	J	`jnl`	Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil
2016	—	`conf`	RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. WorldCIST (1) Tomy Rodrigues, Tiago Daniel Sá Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares
2016	—	`conf`	Scalable Online Top-N Recommender Systems. EC-Web Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou
2016	—	`conf`	Selecting Collaborative Filtering Algorithms Using Metalearning. ECML/PKDD (2) Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2016	—	`conf`	Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams. C3S2E Pedro Saleiro, Luís Gomes, Carlos Soares
2016	J	`jnl`	Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams. CoRR Pedro Saleiro, Luís Gomes, Carlos Soares
2016	A	`conf`	TimeMachine: Entity-Centric Search and Visualization of News Archives. ECIR Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira
2016	J	`jnl`	TimeMachine: Entity-centric Search and Visualization of News Archives. CoRR Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira
2016	—	`conf`	Towards Automatic Generation of Metafeatures. PAKDD (1) Fábio Pinto, Carlos Soares, João Mendes-Moreira
2016	—	`conf`	TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter. WorldCIST (1) André Maia, Tiago Daniel Sá Cunha, Carlos Soares, Pedro Henriques Abreu
2015	B	`conf`	A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. EDM Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira, Rui Abreu
2015	J	`jnl`	Combining regression models and metaheuristics to optimize space allocation in the retail industry. Intell. Data Anal. Fábio Pinto, Carlos Soares, Pavel Brazdil
2015	Misc	`conf`	Distance-Based Decision Tree Algorithms for Label Ranking. EPIA Cláudio Rebelo de Sá, Carla Rebelo, Carlos Soares, Arno J. Knobbe
2015	Misc	`conf`	Estimating Fuel Consumption from GPS Data. IbPRIA Afonso Vilaça, Ana Aguiar, Carlos Soares
2015	J	`jnl`	Improving the accuracy of long-term travel time prediction using heterogeneous ensembles. Neurocomputing João Mendes-Moreira, Alípio Mário Jorge, Jorge Freire de Sousa, Carlos Soares
2015	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I ECML/PKDD (1) Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge
2015	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II ECML/PKDD (2) Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares
2015	—	`conf`	Metalearning for Multiple-Domain Transfer Learning. MetaSel@PKDD/ECML Catarina Félix, Carlos Soares, Alípio Jorge
2015	B	`conf`	Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics. IJCNN Mohammad Nozari Zarmehri, Carlos Soares
2015	—	`conf`	POPmine: Tracking Political Opinion on the Web. CIT/IUCC/DASC/PICom Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares
2015	J	`jnl`	POPmine: Tracking Political Opinion on the Web. CoRR Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares
2015	—	`conf`	Pruning Bagging Ensembles with Metalearning. MCS Fábio Pinto, Carlos Soares, João Mendes-Moreira
2015	—	`conf`	TwitterJam: Identification of mobility patterns in urban centers based on tweets. ISC2 Francisco Rebelo, Carlos Soares, Rosaldo J. F. Rossetti
2015	B	`conf`	Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels. IDA Mohammad Nozari Zarmehri, Carlos Soares
2014	—	`conf`	A Framework To Decompose And Develop Metafeatures. MetaSel@ECAI Fábio Pinto, Carlos Soares, João Mendes-Moreira
2014	J	`jnl`	A data warehouse to support web site automation. J. Braz. Comput. Soc. Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, Solange Oliveira Rezende
2014	J	`jnl`	A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing Péricles B. C. Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
2014	C	`conf`	An Empirical Methodology to Analyze the Behavior of Bagging. ADMA Fábio Pinto, Carlos Soares, João Mendes-Moreira
2014	—	`conf`	Distributed Environment Framework for Optimization Experiments. ICCSA (Workshops/Short Papers/Posters) Pedro H. Abreu, Carlos Soares, Rui Carlos Camacho
2014	C	`conf`	Merging Decision Trees: A Case Study in Predicting Student Performance. ADMA Pedro Strecht, João Mendes-Moreira, Carlos Soares
2014	J	`jnl`	MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data. Neurocomputing André Luis Debiaso Rossi, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Bruno Feres de Souza
2014	—	`conf`	Monitoring Recommender Systems: A Business Intelligence Approach. ICCSA (6) Catarina Félix, Carlos Soares, Alípio Jorge, João Vinagre
2014	—	`ed.`	Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. MetaSel@ECAI Joaquin Vanschoren, Pavel Brazdil, Carlos Soares, Lars Kotthoff
2014	C	`conf`	TweeProfiles: Detection of Spatio-temporal Patterns on Twitter. ADMA Tiago Daniel Sá Cunha, Carlos Soares, Eduarda Mendes Rodrigues
2013	B	`conf`	Active selection of training instances for a random forest meta-learner. IJCNN Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2013	J	`jnl`	Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems. Inf. Process. Manag. Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares
2013	B	`conf`	Multi-interval Discretization of Continuous Attributes for Label Ranking. Discovery Science Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge
2013	—	`conf`	POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter. CLEF (Working Notes) Pedro Saleiro, Luis Rei, Arian Pasquali, Carlos Soares, Jorge Teixeira, Fábio Pinto, Mohammad Nozari Zarmehri, Catarina Félix, Pedro Strecht
2013	—	`conf`	Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models. ECML/PKDD (3) Fábio Pinto, Carlos Soares
2013	J	`jnl`	Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals. Inf. Syst. E Bus. Manag. Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge
2012	—	`conf`	A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. ICONIP (3) Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho
2012	—	`conf`	An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. ICCSA (3) Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012	—	`conf`	Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN Péricles B. C. Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
2012	B	`conf`	Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. SMC Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012	J	`jnl`	Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho
2012	J	`jnl`	Comparing state-of-the-art regression methods for long term travel time prediction. Intell. Data Anal. João Mendes-Moreira, Alípio Mário Jorge, Jorge Freire de Sousa, Carlos Soares
2012	J	`jnl`	Ensemble approaches for regression: A survey. ACM Comput. Surv. João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa
2012	B	`conf`	Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. IDA Alípio Mário Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo
2012	C	`conf`	Integrating Data Mining and Optimization Techniques on Surgery Scheduling. ADMA Carlos Gomes, Bernardo Almada-Lobo, José Luís Cabral de Moura Borges, Carlos Soares
2012	—	`conf`	Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. SBRN André Luis Debiaso Rossi, André C. P. L. F. de Carvalho, Carlos Soares
2012	B	`conf`	Multi-objective optimization and Meta-learning for SVM parameter selection. IJCNN Péricles B. C. Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012	—	`conf`	Multilayer Perceptron for Label Ranking. ICANN (2) Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
2011	—	`conf`	Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011	C	`conf`	Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods - The CoReNet Approach. PRO-VE Américo Lopes Azevedo, João Bastos, António Almeida, Carlos Soares, Nicola Magaletti, Enrico Del Grosso, Dieter Stellmach, Marcus Winkler, Rosanna Fornasiero, Andrea Zangiacomi, Andrea Chiodi
2011	—	`conf`	Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems. Web Intelligence Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares
2011	—	`conf`	Mining Association Rules for Label Ranking. PAKDD (2) Cláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa
2011	J	`jnl`	Selection of algorithms to solve traveling salesman problems using meta-learning. Int. J. Hybrid Intell. Syst. Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares
2011	—	`conf`	Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011	B	`conf`	Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011	J	`jnl`	Using Contextual Information as Virtual Items on Top-N Recommender Systems CoRR Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares
2011	—	`conf`	Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. ICMLA (1) Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares
2010	B	`conf`	A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation. Discovery Science Artur Aiguzhinov, Carlos Soares, Ana Paula Serra
2010	B	`conf`	A comprehensive comparison of ML algorithms for gene expression data classification. IJCNN Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2010	—	`conf`	Combining Meta-learning and Search Techniques to SVM Parameter Selection. SBRN Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho
2010	—	`book`	Data Mining for Business Applications Carlos Soares, Rayid Ghani
2010	—	`ch.`	Data Mining for Business Applications: Introduction. Data Mining for Business Applications Carlos Soares, Rayid Ghani
2010	—	`conf`	Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification. IBERAMIA Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2010	—	`ch.`	Inductive Transfer. Encyclopedia of Machine Learning Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
2010	—	`conf`	Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL. ISoLA (1) Carlos Soares, Miguel Calejo
2010	—	`ch.`	Metalearning. Encyclopedia of Machine Learning Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares
2010	—	`ch.`	Resource-bounded Outlier Detection using Clustering Methods. Data Mining for Business Applications Luís Torgo, Carlos Soares
2010	—	`conf`	Using Meta-learning to Classify Traveling Salesman Problems. SBRN Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares
2009	Misc	`conf`	Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. EPIA Luís Torgo, Welma Pereira, Carlos Soares
2009	—	`conf`	Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach. MLDM João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa
2009	—	`ch.`	Meta-Learning. Encyclopedia of Data Warehousing and Mining Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta
2009	J	`jnl`	Meta-learning approach to gene expression data classification. Int. J. Intell. Comput. Cybern. Bruno Feres de Souza, Carlos Soares, André C. P. L. F. de Carvalho
2009	—	`book`	Metalearning - Applications to Data Mining. Pavel Brazdil, Christophe G. Giraud-Carrier, Carlos Soares, Ricardo Vilalta
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	B	`conf`	The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. PAKDD João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa
2009	B	`conf`	UCI++: Improved Support for Algorithm Selection Using Datasetoids. PAKDD Carlos Soares
2008	—	`ed.`	Applications of Data Mining in E-Business and Finance DMBiz@PAKDD Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
2008	C	`conf`	Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. HIS André L. D. Rossi, André C. P. L. F. de Carvalho, Carlos Soares
2008	—	`conf`	Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. ICONIP (2) André L. D. Rossi, Carlos Soares, André C. P. L. F. de Carvalho
2008	C	`conf`	Metalearning for Gene Expression Data Classification. HIS Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2008	—	`conf`	The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization. Web Intelligence Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares
2007	—	`conf`	Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
2007	—	`conf`	Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study. EPIA Workshops Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alípio Mário Jorge, Rui Brandão
2006	—	`conf`	A Web-Based System to Monitor the Quality of Meta-Data in Web Portals. IAT Workshops Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge
2006	J	`jnl`	Data mining for business applications: KDD-2006 workshop. SIGKDD Explor. Rayid Ghani, Carlos Soares
2006	—	`conf`	Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users. Web Intelligence Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alípio Mário Jorge
2006	C	`conf`	Improving SVM-Linear Predictions Using CART for Example Selection. ISMIS João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa
2006	—	`conf`	Personalization of E-newsletters Based on Web Log Analysis and Clustering. Web Intelligence Carla Carvalho, Alípio Mário Jorge, Carlos Soares
2006	Misc	`conf`	Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC Carlos Soares, Pavel Brazdil
2005	Misc	`conf`	Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining. EPIA Carlos Soares, Alípio Mário Jorge, Marcos Aurélio Domingues
2004	J	`jnl`	A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. Mach. Learn. Carlos Soares, Pavel Brazdil, Petr Kuba
2004	J	`jnl`	Using Meta-Learning to Support Data Mining. Int. J. Comput. Sci. Appl. Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
2003	Misc	`conf`	Is the UCI Repository Useful for Data Mining? EPIA Carlos Soares
2003	J	`jnl`	Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. Mach. Learn. Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa
2002	—	`conf`	A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. IBERAMIA Carlos Soares, Pavel Brazdil
2002	B	`conf`	Improved Dataset Characterisation for Meta-learning. Discovery Science Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil
2001	Misc	`conf`	Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA Pavel Brazdil, Carlos Soares, Rui Pereira
2001	Misc	`conf`	Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. EPIA Carlos Soares, Johann Petrak, Pavel Brazdil
2000	—	`conf`	A Comparison of Ranking Methods for Classification Algorithm Selection. ECML Pavel Brazdil, Carlos Soares
2000	—	`conf`	Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. PKDD Carlos Soares, Pavel Brazdil
1998	—	`conf`	Dynamic Discretization of Continuous Attributes. IBERAMIA João Gama, Luís Torgo, Carlos Soares
1997	—	`conf`	From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog. LPE Carlos Soares, Miguel Calejo