Vítor Cerqueira

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 41

Top Topics

Feature Engineering

Empirical Analysis

Drift Detection

Parameter Determination

Top Venues

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)
Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
Meta-learning and Data Augmentation for Stress Testing Forecasting Models. CoRR (2024)
José Leites, Vítor Cerqueira, Carlos Soares
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study. CoRR (2024)
Vítor Cerqueira, Nuno Moniz, Carlos Soares
VEST: automatic feature engineering for forecasting. Mach. Learn. 113 (7) (2024)
Vítor Cerqueira, Luís Torgo
Multi-output Ensembles for Multi-step Forecasting. 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)
Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
Automated imbalanced classification via layered learning. Mach. Learn. 112 (6) (2023)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: a student-teacher method for unsupervised concept drift detection. Mach. Learn. 112 (11) (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)
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)
Vítor Cerqueira, Luís Torgo
Exceedance Probability Forecasting via Regression for Significant Wave Height Forecasting. CoRR (2022)
Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
Automated Imbalanced Classification via Layered Learning. CoRR (2022)
Nuno Moniz, Vítor Cerqueira
Automated imbalanced classification via meta-learning. Expert Syst. Appl. 178 (2021)
Pedro Costa, Vítor Cerqueira, João Vinagre
AutoFITS: Automatic Feature Engineering for Irregular Time Series. CoRR (2021)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. CoRR (2021)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators. CoRR (2021)
Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet
Model Compression for Dynamic Forecast Combination. CoRR (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, Heitor Murilo Gomes, Albert Bifet
Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS (2020)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes. CoRR (2020)
Vítor Cerqueira, Nuno Moniz, Carlos Soares
VEST: Automatic Feature Engineering for Forecasting. CoRR (2020)
Vítor Cerqueira, Luís Torgo, Igor Mozetic
Evaluating time series forecasting models: an empirical study on performance estimation methods. Mach. Learn. 109 (11) (2020)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. CoRR (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)
Vítor Cerqueira, Luís Torgo, Igor Mozetic
Evaluating time series forecasting models: An empirical study on performance estimation methods. CoRR (2019)
Vítor Cerqueira, Luís Moreira-Matias, Jihed Khiari, Hans van Lint
On Evaluating Floating Car Data Quality for Knowledge Discovery. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Igor Mozetic, Luís Torgo, Vítor Cerqueira, Jasmina Smailovic
How to evaluate sentiment classifiers for Twitter time-ordered data? 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)
Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla
SMOTEBoost for Regression: Improving the Prediction of Extreme Values. DSAA (2018)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) (2017)
Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
autoBagging: Learning to Rank Bagging Workflows with Metalearning. CoRR (2017)
Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA (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)
Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic
A Comparative Study of Performance Estimation Methods for Time Series Forecasting. DSAA (2017)
Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares
Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. IDA (2016)
Luís Moreira-Matias, Vítor Cerqueira
CJAMmer - traffic JAM Cause Prediction using Boosted Trees. ITSC (2016)
Jihed Khiari, Luís Moreira-Matias, Vítor Cerqueira, Oded Cats
Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. PAKDD (1) (2016)
Vítor Cerqueira, Márcia D. B. Oliveira, João Gama
A Framework for Analysing Dynamic Communities in Large-scale Social Networks. ICEIS (1) (2015)