Vítor Cerqueira

68 papers A* 2B 9Journal 38Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Grasynda: Graph-Based Synthetic Time Series Generation. IDA Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
2026	J	`jnl`	Grasynda: Graph-based Synthetic Time Series Generation. CoRR Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
2025	—	`conf`	An Educational Robotics Competition - The Robotics@ISEP Open Experience. ICARSC Manuel F. Silva, André Dias, Pedro Guedes, Ramiro S. Barbosa, Jorge Estrela, André Moura, Vítor Cerqueira
2025	—	`conf`	Benchmarking Time Series Feature Extraction for Algorithm Selection. EPIA (1) Moisés Rocha dos Santos, Vítor Cerqueira, Carlos Soares
2025	J	`jnl`	CapyMOA: Efficient Machine Learning for Data Streams in Python. CoRR Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Yibin Sun, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025	A*	`conf`	Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. AAAI Luis Roque, Vítor Cerqueira, Carlos Soares, Luís Torgo
2025	J	`jnl`	L-GTA: Latent Generative Modeling for Time Series Augmentation. CoRR Luis Roque, Carlos Soares, Vítor Cerqueira, Luís Torgo
2025	—	`conf`	MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting Models. ECML/PKDD (10) Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2025	—	`conf`	Machine Learning for Data Streams with CapyMOA. ECML/PKDD (10) Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025	J	`jnl`	Mast: interpretable stress testing via meta-learning for forecasting model robustness evaluation. Mach. Learn. Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2025	B	`conf`	Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. DS Carlos Soares, Paulo J. Azevedo, Vítor Cerqueira, Luís Torgo
2025	B	`conf`	Meta-learning and Data Augmentation for Stress Testing Forecasting Models. IDA Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2025	J	`jnl`	ModelRadar: Aspect-based Forecast Evaluation. CoRR Vítor Cerqueira, Luis Roque, Carlos Soares
2025	J	`jnl`	Modelradar: aspect-based forecast evaluation. Mach. Learn. Vítor Cerqueira, Luis Roque, Carlos Soares
2025	—	`conf`	Multi-output Ensembles for Multi-step Forecasting. AALTD@ECML/PKDD Vítor Cerqueira, Luís Torgo
2025	J	`jnl`	N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting. CoRR Ricardo Matos, Luis Roque, Vítor Cerqueira
2025	—	`conf`	Online Data Augmentation for Forecasting with Deep Learning. EPIA (1) Vítor Cerqueira, Moisés Santos, Luis Roque, Yassine Baghoussi, Carlos Soares
2025	J	`jnl`	Simulating Biases for Interpretable Fairness in Offline and Online Classifiers. CoRR Ricardo Inácio, Zafeiris Kokkinogenis, Vítor Cerqueira, Carlos Soares
2025	A*	`conf`	Stress-Testing of Multimodal Models in Medical Image-Based Report Generation. AAAI Flávia Carvalhido, Henrique Lopes Cardoso, Vítor Cerqueira
2024	J	`jnl`	Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. CoRR Luis Roque, Carlos Soares, Vítor Cerqueira, Luís Torgo
2024	—	`conf`	Forecasting with Deep Learning: Beyond Average of Average of Average Performance. DS (1) Vítor Cerqueira, Luis Roque, Carlos Soares
2024	J	`jnl`	Forecasting with Deep Learning: Beyond Average of Average of Average Performance. CoRR Vítor Cerqueira, Luis Roque, Carlos Soares
2024	—	`conf`	Lag Selection for Univariate Time Series Forecasting Using Deep Learning: An Empirical Study. EPIA (3) José Leites, Vítor Cerqueira, Carlos Soares
2024	J	`jnl`	Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study. CoRR José Leites, Vítor Cerqueira, Carlos Soares
2024	—	`conf`	Meta-TadGAN: Time Series Anomaly Detection Using TadGAN with Meta-features. EPIA (3) Inês Oliveira e Silva, Carlos Soares, Vítor Cerqueira, Arlete Rodrigues, Pedro Bastardo
2024	J	`jnl`	Meta-learning and Data Augmentation for Stress Testing Forecasting Models. CoRR Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares
2024	J	`jnl`	On-the-fly Data Augmentation for Forecasting with Deep Learning. CoRR Vítor Cerqueira, Moisés Rocha dos Santos, Yassine Baghoussi, Carlos Soares
2024	—	`conf`	Time Series Data Augmentation as an Imbalanced Learning Problem. EPIA (2) Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
2024	J	`jnl`	Time Series Data Augmentation as an Imbalanced Learning Problem. CoRR Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
2024	J	`jnl`	VEST: automatic feature engineering for forecasting. Mach. Learn. Vítor Cerqueira, Nuno Moniz, Carlos Soares
2023	J	`jnl`	Automated imbalanced classification via layered learning. Mach. Learn. Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
2023	J	`jnl`	Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes. Mach. Learn. Vítor Cerqueira, Luís Torgo, Carlos Soares
2023	J	`jnl`	Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators. Neural Process. Lett. Vítor Cerqueira, Luís Torgo, Carlos Soares
2023	J	`jnl`	Multi-output Ensembles for Multi-step Forecasting. CoRR Vítor Cerqueira, Luís Torgo
2023	J	`jnl`	STUDD: a student-teacher method for unsupervised concept drift detection. Mach. Learn. Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
2023	J	`jnl`	Towards time-evolving analytics: Online learning for time-dependent evolving data streams. Data Sci. Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Vítor Cerqueira, Albert Bifet
2022	J	`jnl`	A case study comparing machine learning with statistical methods for time series forecasting: size matters. J. Intell. Inf. Syst. Vítor Cerqueira, Luís Torgo, Carlos Soares
2022	J	`jnl`	Automated Imbalanced Classification via Layered Learning. CoRR Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
2022	J	`jnl`	Exceedance Probability Forecasting via Regression for Significant Wave Height Forecasting. CoRR Vítor Cerqueira, Luís Torgo
2021	J	`jnl`	AutoFITS: Automatic Feature Engineering for Irregular Time Series. CoRR Pedro Costa, Vítor Cerqueira, João Vinagre
2021	J	`jnl`	Automated imbalanced classification via meta-learning. Expert Syst. Appl. Nuno Moniz, Vítor Cerqueira
2021	—	`conf`	Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM. PRICAI (1) Filipa Barros, Vítor Cerqueira, Carlos Soares
2021	J	`jnl`	Model Compression for Dynamic Forecast Combination. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet
2021	J	`jnl`	Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares
2021	J	`jnl`	STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. CoRR Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
2020	J	`jnl`	Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares
2020	J	`jnl`	Evaluating time series forecasting models: an empirical study on performance estimation methods. Mach. Learn. Vítor Cerqueira, Luís Torgo, Igor Mozetic
2020	B	`conf`	Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet
2020	J	`jnl`	VEST: Automatic Feature Engineering for Forecasting. CoRR Vítor Cerqueira, Nuno Moniz, Carlos Soares
2019	J	`jnl`	Arbitrage of forecasting experts. Mach. Learn. Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
2019	—	`—`	Ensembles for Time Series Forecasting Vítor Cerqueira
2019	J	`jnl`	Evaluating time series forecasting models: An empirical study on performance estimation methods. CoRR Vítor Cerqueira, Luís Torgo, Igor Mozetic
2019	B	`conf`	Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. DS Vítor Cerqueira, Luís Torgo, Carlos Soares
2019	J	`jnl`	Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. CoRR Vítor Cerqueira, Luís Torgo, Carlos Soares
2018	—	`conf`	Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz
2018	J	`jnl`	How to evaluate sentiment classifiers for Twitter time-ordered data? CoRR Igor Mozetic, Luís Torgo, Vítor Cerqueira, Jasmina Smailovic
2018	J	`jnl`	On Evaluating Floating Car Data Quality for Knowledge Discovery. IEEE Trans. Intell. Transp. Syst. Vítor Cerqueira, Luís Moreira-Matias, Jihed Khiari, Hans van Lint
2018	B	`conf`	SMOTEBoost for Regression: Improving the Prediction of Extreme Values. DSAA Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla
2017	B	`conf`	A Comparative Study of Performance Estimation Methods for Time Series Forecasting. DSAA Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic
2017	—	`conf`	Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) Vítor Cerqueira, Luís Torgo, Carlos Soares
2017	—	`conf`	Arbitrated Ensemble for Time Series Forecasting. ECML/PKDD (2) Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
2017	B	`conf`	Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer
2017	—	`conf`	autoBagging: Learning to Rank Bagging Workflows with Metalearning. AutoML@PKDD/ECML Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
2017	J	`jnl`	autoBagging: Learning to Rank Bagging Workflows with Metalearning. CoRR Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
2016	—	`conf`	Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. PAKDD (1) Jihed Khiari, Luís Moreira-Matias, Vítor Cerqueira, Oded Cats
2016	—	`conf`	CJAMmer - traffic JAM Cause Prediction using Boosted Trees. ITSC Luís Moreira-Matias, Vítor Cerqueira
2016	B	`conf`	Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. IDA Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares
2015	—	`conf`	A Framework for Analysing Dynamic Communities in Large-scale Social Networks. ICEIS (1) Vítor Cerqueira, Márcia D. B. Oliveira, João Gama