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Carlos Soares
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization

Oct 22, 2020
André F. Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro


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Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes

Oct 22, 2020
Vitor Cerqueira, Luis Torgo, Carlos Soares


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VEST: Automatic Feature Engineering for Forecasting

Oct 14, 2020
Vitor Cerqueira, Nuno Moniz, Carlos Soares

* 25 pages, R code available 
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Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters

Sep 29, 2019
Vitor Cerqueira, Luis Torgo, Carlos Soares

* 9 pages 
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Preference rules for label ranking: Mining patterns in multi-target relations

Mar 20, 2019
Cláudio Rebelo de Sá, Paulo Azevedo, Carlos Soares, Alípio Mário Jorge, Arno Knobbe

* Information Fusion, Volume 40, March 2018, Pages 112-125 
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Towards Reproducible Empirical Research in Meta-Learning

Aug 30, 2018
Adriano Rivolli, Luís P. F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho


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Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets

Jul 23, 2018
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho


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Building robust prediction models for defective sensor data using Artificial Neural Networks

Apr 16, 2018
Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares

* 16 pages, 7 figures. Currently under review. This research has obtained funding from the Electronic Components and Systems for European Leadership (ECSEL) Joint Undertaking, the framework programme for research and innovation Horizon 2020 (2014-2020) under grant agreement number 662189-MANTIS-2014-1 
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Smart energy management as a means towards improved energy efficiency

Feb 08, 2018
Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe


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Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects

Sep 04, 2017
Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira


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autoBagging: Learning to Rank Bagging Workflows with Metalearning

Jun 28, 2017
Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira


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FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings

Apr 17, 2017
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira


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Using Contextual Information as Virtual Items on Top-N Recommender Systems

Nov 15, 2011
Marcos A. Domingues, Alipio Mario Jorge, Carlos Soares

* Workshop on Context-Aware Recommender Systems (CARS'09) in conjunction with the 3rd ACM Conference on Recommender Systems (RecSys'09) 
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