Vítor Cerqueira

According to our database, Vítor Cerqueira authored at least 32 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators.

Vítor Cerqueira, Luís Torgo, Carlos Soares

Neural Process. Lett., December, 2023

Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes.

Vítor Cerqueira, Luís Torgo, Carlos Soares

Mach. Learn., November, 2023

STUDD: a student-teacher method for unsupervised concept drift detection.

Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo

Mach. Learn., November, 2023

Automated imbalanced classification via layered learning.

Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger

Mach. Learn., June, 2023

Multi-output Ensembles for Multi-step Forecasting.

Vítor Cerqueira, Luís Torgo

CoRR, 2023

2022

A case study comparing machine learning with statistical methods for time series forecasting: size matters.

Vítor Cerqueira, Luís Torgo, Carlos Soares

J. Intell. Inf. Syst., 2022

Exceedance Probability Forecasting via Regression for Significant Wave Height Forecasting.

Vítor Cerqueira, Luís Torgo

CoRR, 2022

2021

Automated imbalanced classification via meta-learning.

Nuno Moniz, Vítor Cerqueira

Expert Syst. Appl., 2021

AutoFITS: Automatic Feature Engineering for Irregular Time Series.

Pedro Costa, Vítor Cerqueira, João Vinagre

CoRR, 2021

Model Compression for Dynamic Forecast Combination.

Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet

CoRR, 2021

Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators.

Vítor Cerqueira, Luís Torgo, Carlos Soares

CoRR, 2021

Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM.

Filipa Barros, Vítor Cerqueira, Carlos Soares

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

Evaluating time series forecasting models: an empirical study on performance estimation methods.

Vítor Cerqueira, Luís Torgo, Igor Mozetic

Mach. Learn., 2020

VEST: Automatic Feature Engineering for Forecasting.

Vítor Cerqueira, Nuno Moniz, Carlos Soares

CoRR, 2020

Unsupervised Concept Drift Detection Using a Student-Teacher Approach.

Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Ensembles for Time Series Forecasting

Vítor Cerqueira

PhD thesis, 2019

Arbitrage of forecasting experts.

Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares

Mach. Learn., 2019

Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters.

Vítor Cerqueira, Luís Torgo, Carlos Soares

CoRR, 2019

Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes.

Vítor Cerqueira, Luís Torgo, Carlos Soares

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

On Evaluating Floating Car Data Quality for Knowledge Discovery.

Vítor Cerqueira, Luís Moreira-Matias, Jihed Khiari, Hans van Lint

IEEE Trans. Intell. Transp. Syst., 2018

How to evaluate sentiment classifiers for Twitter time-ordered data?

Igor Mozetic, Luís Torgo, Vítor Cerqueira, Jasmina Smailovic

CoRR, 2018

Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles.

Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

SMOTEBoost for Regression: Improving the Prediction of Extreme Values.

Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

autoBagging: Learning to Rank Bagging Workflows with Metalearning.

Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira

Proceedings of the International Workshop on Automatic Selection, 2017

Arbitrated Ensemble for Time Series Forecasting.

Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Arbitrated Ensemble for Solar Radiation Forecasting.

Vítor Cerqueira, Luís Torgo, Carlos Soares

Proceedings of the Advances in Computational Intelligence, 2017

A Comparative Study of Performance Estimation Methods for Time Series Forecasting.

Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Dynamic and Heterogeneous Ensembles for Time Series Forecasting.

Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning.

Jihed Khiari, Luís Moreira-Matias, Vítor Cerqueira, Oded Cats

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

CJAMmer - traffic JAM Cause Prediction using Boosted Trees.

Luís Moreira-Matias, Vítor Cerqueira

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance.

Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015

A Framework for Analysing Dynamic Communities in Large-scale Social Networks.

Vítor Cerqueira, Márcia D. B. Oliveira, João Gama

Proceedings of the ICEIS 2015, 2015