Vitor Cerqueira
Vitor Cerqueira
Researcher at LIAAD-INESC TEC
Verified email at inesctec.pt - Homepage
Title
Cited by
Cited by
Year
Arbitrated ensemble for time series forecasting
V Cerqueira, L Torgo, F Pinto, C Soares
Joint European conference on machine learning and knowledge discovery in …, 2017
322017
How to evaluate sentiment classifiers for Twitter time-ordered data?
I Mozetič, L Torgo, V Cerqueira, J Smailović
PloS one 13 (3), e0194317, 2018
142018
Automated setting of bus schedule coverage using unsupervised machine learning
J Khiari, L Moreira-Matias, V Cerqueira, O Cats
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 552-564, 2016
142016
A comparative study of performance estimation methods for time series forecasting
V Cerqueira, L Torgo, J Smailović, I Mozetič
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
122017
Arbitrage of forecasting experts
V Cerqueira, L Torgo, F Pinto, C Soares
Machine Learning 108 (6), 913-944, 2019
112019
Evaluating time series forecasting models: An empirical study on performance estimation methods
V Cerqueira, L Torgo, I Mozetic
arXiv preprint arXiv:1905.11744, 2019
102019
Combining boosted trees with metafeature engineering for predictive maintenance
V Cerqueira, F Pinto, C Sá, C Soares
International Symposium on Intelligent Data Analysis, 393-397, 2016
102016
Dynamic and heterogeneous ensembles for time series forecasting
V Cerqueira, L Torgo, M Oliveira, B Pfahringer
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
62017
Arbitrated ensemble for solar radiation forecasting
V Cerqueira, L Torgo, C Soares
International work-conference on artificial neural networks, 720-732, 2017
52017
Machine learning vs statistical methods for time series forecasting: Size matters
V Cerqueira, L Torgo, C Soares
arXiv preprint arXiv:1909.13316, 2019
42019
On Evaluating Floating Car Data Quality for Knowledge Discovery
V Cerqueira, L Moreira-Matias, J Khiari, H van Lint
IEEE Transactions on Intelligent Transportation Systems 19 (11), 3749-3760, 2018
32018
SMOTEBoost for Regression: Improving the Prediction of Extreme Values
N Moniz, RP Ribeiro, V Cerqueira, N Chawla
32018
autobagging: Learning to rank bagging workflows with metalearning
F Pinto, V Cerqueira, C Soares, J Mendes-Moreira
arXiv preprint arXiv:1706.09367, 2017
22017
Cjammer-traffic jam cause prediction using boosted trees
L Moreira-Matias, V Cerqueira
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
22016
Ensembles for Time Series Forecasting
VMA Cerqueira
2019
Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes
V Cerqueira, L Torgo, C Soares
International Conference on Discovery Science, 445-459, 2019
2019
Real-time filtering of digital data sources for traffic control centers
L Moreira-Matias, V Cerqueira
US Patent 10,395,183, 2019
2019
Method and filter for floating car data sources
L Moreira-Matias, V Cerqueira, J Khiari
US Patent App. 15/429,201, 2018
2018
Arbitrated Ensemble
V Cerqueira, L Torgo, F Pinto, C Soares
2018
Constructive Aggregation and its application to forecasting with dynamic ensembles
V Cerqueira, F Pinto, L Torgo, C Soares, N Moniz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
2018
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