Carlos Soares

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 128

Top Venues

CoRR

IDA

Neurocomputing

Publications

Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
Time Series Data Augmentation as an Imbalanced Learning Problem. CoRR (2024)
Vítor Cerqueira, Moisés Rocha dos Santos, Yassine Baghoussi, Carlos Soares
On-the-fly Data Augmentation for Forecasting with Deep Learning. CoRR (2024)
Vítor Cerqueira, Luis Roque, Carlos Soares
Forecasting with Deep Learning: Beyond Average of Average of Average Performance. CoRR (2024)
Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM). ISMIS (2024)
Joel Ribeiro, Tânia Fontes, Carlos Soares, José Luís Borges
Multidimensional subgroup discovery on event logs. Expert Syst. Appl. 246 (2024)
Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
Kernel Corrector LSTM. IDA (2) (2024)
Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
Meta-learning and Data Augmentation for Stress Testing Forecasting Models. CoRR (2024)
Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
Kernel Corrector LSTM. CoRR (2024)
Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
Machine Learning Data Market Based on Multiagent Systems. IEEE Internet Comput. 28 (4) (2024)
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
Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images. VISIGRAPP (2): VISAPP (2024)
José Leites, Vítor Cerqueira, Carlos Soares
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study. CoRR (2024)
Luis Roque, Carlos Soares, Luís Torgo
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. KDD (2024)
Vítor Cerqueira, Nuno Moniz, Carlos Soares
VEST: automatic feature engineering for forecasting. Mach. Learn. 113 (7) (2024)
Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance. EPIA (1) (2023)
Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares
tsMorph: generation of semi-synthetic time series to understand algorithm performance. CoRR (2023)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators. Neural Process. Lett. 55 (7) (2023)
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
Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification. CIARP (2023)
Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. AI (2) (2023)
Fernando Freitas, Pavel Brazdil, Carlos Soares
Exploring the Reduction of Configuration Spaces of Workflows. DS (2023)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Symbolic Data Analysis to Improve Completeness of Model Combination Methods. AI (2) (2023)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes. Mach. Learn. 112 (11) (2023)
Luís Cunha, Carlos Soares, André Restivo, Luís F. Teixeira
GASTeN: Generative Adversarial Stress Test Networks. IDA (2023)
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
Meta-features for meta-learning. Knowl. Based Syst. 240 (2022)
Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil, Carlos Soares, Fernando Freitas
On Usefulness of Outlier Elimination in Classification Tasks. IDA (2022)
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) (2022)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. ADMA (2) (2022)
Vítor Cerqueira, Luís Torgo, Carlos Soares
A case study comparing machine learning with statistical methods for time series forecasting: size matters. J. Intell. Inf. Syst. 59 (2) (2022)
Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
Machine Learning Data Markets: Trading Data using a Multi-Agent System. WI/IAT (2022)
Dusan Hetlerovic, Lubos Popelínský, Pavel Bradi, Carlos Soares, Fernando Freitas
On Usefulness of Outlier Elimination in Classification Tasks: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Tomas Sousa Pereira, Tiago Cunha, Carlos Soares
u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems. CoRR (2021)
André Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
Promoting Fairness through Hyperparameter Optimization. CoRR (2021)
André Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
Promoting Fairness through Hyperparameter Optimization. ICDM (2021)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators. CoRR (2021)
Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudencio, Carlos Soares
Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR (2021)
André Luis Debiaso Rossi, Carlos Soares, Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho
Micro-MetaStream: Algorithm selection for time-changing data. Inf. Sci. 565 (2021)
André Baptista, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira, Miguel Arantes
Pastprop-RNN: improved predictions of the future by correcting the past. CoRR (2021)
Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet
Model Compression for Dynamic Forecast Combination. CoRR (2021)
Bernardo Leite, Amr Abdalrahman, João Castro, Julieta Frade, João Moreira, Carlos Soares
Novelty Detection in Physical Activity. ICAART (2) (2021)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Inmplode: A framework to interpret multiple related rule-based models. Expert Syst. J. Knowl. Eng. 38 (6) (2021)
Filipa Barros, Vítor Cerqueira, Carlos Soares
Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM. PRICAI (1) (2021)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes. CoRR (2020)
André Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization. CoRR (2020)
David Ribeiro, João Costa, Inês Lopes, Telmo Barbosa, Carlos Soares, Filipe Sousa, Jorge Ribeiro, Duarte Rocha, Marlos Silva
FILLET - Platform for Intelligent Nutrition. AICCSA (2020)
João Costa, Inês Lopes, André V. Carreiro, David Ribeiro, Carlos Soares
Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. CLEF (Working Notes) (2020)
Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares
Underground Train Tracking using Mobile Phone Accelerometer Data. ITSC (2020)
Tomas Sousa Pereira, Tiago Cunha, Carlos Soares
$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems. ICDM (Workshops) (2020)
Bernardo Leite, Henrique Lopes Cardoso, Luís Paulo Reis, Carlos Soares
Factual Question Generation for the Portuguese Language. INISTA (2020)
Vítor Cerqueira, Nuno Moniz, Carlos Soares
VEST: Automatic Feature Engineering for Forecasting. CoRR (2020)
Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. 109 (8) (2020)
André Correia, Carlos Soares, Alípio Jorge
Dataset Morphing to Analyze the Performance of Collaborative Filtering. DS (2019)
Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe
Preference rules for label ranking: Mining patterns in multi-target relations. CoRR (2019)
Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares
KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. DS (2019)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. CoRR (2019)
Cláudio Rebelo de Sá, Arvind Kumar Shekar, Hugo M. Ferreira, Carlos Soares
Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks. SOCO (2019)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. DS (2019)
Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
Arbitrage of forecasting experts. Mach. Learn. 108 (6) (2019)
Alvaro Neuenfeldt Júnior, Elsa Silva, A. Miguel Gomes, Carlos Soares, José Fernando Oliveira
Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem. Expert Syst. Appl. 118 (2019)
Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe
Smart energy management as a means towards improved energy efficiency. CoRR (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
CF4CF: recommending collaborative filtering algorithms using collaborative filtering. RecSys (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. DS (2018)
Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
Label Expansion for Multi-label Classification. BRACIS (2018)
Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe
Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. 107 (11) (2018)
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)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. CoRR (2018)
Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares
Building robust prediction models for defective sensor data using Artificial Neural Networks. CoRR (2018)
Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz
Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) (2018)
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
Towards Reproducible Empirical Research in Meta-Learning. CoRR (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
A label ranking approach for selecting rankings of collaborative filtering algorithms. SAC (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. Inf. Sci. 423 (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering. CoRR (2018)
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
Entity-Relationship Search over the Web. CoRR (2018)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Generalizing Knowledge in Decentralized Rule-Based Models. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
A Framework for Analytical Approaches to Combine Interpretable Models. SIMBig (2018)
Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
Enhancing multilabel classification for food truck recommendation. Expert Syst. J. Knowl. Eng. 35 (4) (2018)
Pedro Oliveira da Silva, Adriano Rivolli, Pedro Rocha, Francisco Correia, Carlos Soares
Machine Learning for Drugs Prescription. IDEAL (1) (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. CoRR (2018)
Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe
Preference rules for label ranking: Mining patterns in multi-target relations. Inf. Fusion 40 (2018)
Silvia Cristina Nunes das Dores, Carlos Soares, Duncan D. Ruiz
Bandit-Based Automated Machine Learning. BRACIS (2018)
Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects. EPIA (2017)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. RecSys (2017)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) (2017)
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. CoRR (2017)
Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
autoBagging: Learning to Rank Bagging Workflows with Metalearning. CoRR (2017)
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira
TexRep: A Text Mining Framework for Online Reputation Monitoring. New Gener. Comput. 35 (4) (2017)
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. CoRR (2017)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. DS (2017)
André Luis Debiaso Rossi, Bruno Feres de Souza, Carlos Soares, André Carlos Ponce de Leon Ferreira de Carvalho
A guidance of data stream characterization for meta-learning. Intell. Data Anal. 21 (4) (2017)
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
Early Fusion Strategy for Entity-Relationship Retrieval. KG4IR@SIGIR (2017)
Silvia Nunes das Dôres, Carlos Soares, Duncan D. A. Ruiz
Effect of Metalearning on Feature Selection Employment. AutoML@PKDD/ECML (2017)
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. SIGIR (2017)
Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez
Label Ranking Forests. Expert Syst. J. Knowl. Eng. 34 (1) (2017)
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
Early Fusion Strategy for Entity-Relationship Retrieval. CoRR (2017)
Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
autoBagging: Learning to Rank Bagging Workflows with Metalearning. AutoML@PKDD/ECML (2017)
Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
Arbitrated Ensemble for Time Series Forecasting. ECML/PKDD (2) (2017)
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. SemEval@ACL (2017)
Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects. CoRR (2017)
Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
Exceptional Preferences Mining. DS (2016)
Tomy Rodrigues, Tiago Daniel Sá Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares
RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. WorldCIST (1) (2016)
Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing 205 (2016)
André Costa, Tiago Cunha, Carlos Soares
AToMRS: A Tool to Monitor Recommender Systems. KDIR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carlos Soares