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Vitor Cerqueira
Vitor Cerqueira
University of Porto, FEUP, LIACC
Bestätigte E-Mail-Adresse bei fe.up.pt
Titel
Zitiert von
Zitiert von
Jahr
Evaluating time series forecasting models: An empirical study on performance estimation methods
V Cerqueira, L Torgo, I Mozetič
Machine Learning 109 (11), 1997-2028, 2020
2562020
Machine learning vs statistical methods for time series forecasting: Size matters
V Cerqueira, L Torgo, C Soares
arXiv preprint arXiv:1909.13316, 2019
1042019
Arbitrated ensemble for time series forecasting
V Cerqueira, L Torgo, F Pinto, C Soares
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
772017
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
432017
Arbitrage of forecasting experts
V Cerqueira, L Torgo, F Pinto, C Soares
Machine Learning 108, 913-944, 2019
412019
Forecasting hotel demand for revenue management using machine learning regression methods
LN Pereira, V Cerqueira
Current Issues in Tourism 25 (17), 2733-2750, 2022
402022
How to evaluate sentiment classifiers for Twitter time-ordered data?
I Mozetič, L Torgo, V Cerqueira, J Smailović
PloS one 13 (3), e0194317, 2018
382018
Vest: Automatic feature engineering for forecasting
V Cerqueira, N Moniz, C Soares
Machine Learning, 1-23, 2021
302021
SMOTEBoost for Regression: Improving the Prediction of Extreme Values
N Moniz, RP Ribeiro, V Cerqueira, N Chawla
302018
Combining boosted trees with metafeature engineering for predictive maintenance
V Cerqueira, F Pinto, C Sá, C Soares
Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA …, 2016
292016
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
242017
Automated setting of bus schedule coverage using unsupervised machine learning
J Khiari, L Moreira-Matias, V Cerqueira, O Cats
Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016
242016
STUDD: a student–teacher method for unsupervised concept drift detection
V Cerqueira, HM Gomes, A Bifet, L Torgo
Machine Learning 112 (11), 4351-4378, 2023
232023
Automated imbalanced classification via meta-learning
N Moniz, V Cerqueira
Expert Systems with Applications 178, 115011, 2021
232021
A case study comparing machine learning with statistical methods for time series forecasting: size matters
V Cerqueira, L Torgo, C Soares
Journal of Intelligent Information Systems 59 (2), 415-433, 2022
172022
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
162018
Method and filter for floating car data sources
L Moreira-Matias, V Cerqueira, J Khiari
US Patent App. 15/429,201, 2018
142018
Unsupervised concept drift detection using a student–teacher approach
V Cerqueira, HM Gomes, A Bifet
Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020
112020
Autobagging: Learning to rank bagging workflows with metalearning
F Pinto, V Cerqueira, C Soares, J Mendes-Moreira
arXiv preprint arXiv:1706.09367, 2017
112017
Early anomaly detection in time series: A hierarchical approach for predicting critical health episodes
V Cerqueira, L Torgo, C Soares
arXiv preprint arXiv:2010.11595, 2020
82020
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