Luís Torgo

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 76

Top Venues

CoRR

DSAA

Mach. Learn.

Expert Syst. J. Knowl. Eng.

Publications

Luis Roque, Carlos Soares, Luís Torgo
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. KDD (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)
João Pimentel, Paulo J. Azevedo, Luís Torgo
Subgroup mining for performance analysis of regression models. Expert Syst. J. Knowl. Eng. 40 (1) (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)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA (2022)
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)
Md. Mahbub Alam, Luís Torgo, Albert Bifet
A Survey on Spatio-temporal Data Analytics Systems. ACM Comput. Surv. 54 (10s) (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)
Md. Mahbub Alam, Luís Torgo
A Clustering-based Approach for Predicting the Future Location of a Vessel. AI (2022)
Nuno Guimarães, Álvaro Figueira, Luís Torgo
Towards a pragmatic detection of unreliable accounts on social networks. Online Soc. Networks Media 24 (2021)
Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo
Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. DSAA (2021)
Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin
SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica 25 (2) (2021)
Luís Torgo, Paulo Azevedo, Inês Areosa
Beyond Average Performance - exploring regions of deviating performance for black box classification models. CoRR (2021)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. CoRR (2021)
Md. Mahbub Alam, Luís Torgo, Albert Bifet
A Survey on Spatio-temporal Data Analytics Systems. CoRR (2021)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2021)
Nuno Guimarães, Álvaro Figueira, Luís Torgo
An organized review of key factors for fake news detection. CoRR (2021)
Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
Biased resampling strategies for imbalanced spatio-temporal forecasting. Int. J. Data Sci. Anal. 12 (3) (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)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes. CoRR (2020)
Nuno Guimarães, Álvaro Figueira, Luís Torgo
Knowledge-based Reliability Metrics for Social Media Accounts. WEBIST (2020)
Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. 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)
Inês Areosa, Luís Torgo
Visual interpretation of regression error. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian Conference on AI (2020)
Paula Branco, Luís Torgo
A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. DSAA (2019)
Inês Areosa, Luís Torgo
Explaining the Performance of Black Box Regression Models. DSAA (2019)
Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo
On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops (2019)
Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. DSAA (2019)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. CoRR (2019)
Colin Bellinger, Paula Branco, Luís Torgo
The CURE for Class Imbalance. DS (2019)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Pre-processing approaches for imbalanced distributions in regression. Neurocomputing 343 (2019)
Inês Areosa, Luís Torgo
Visual Interpretation of Regression Error. EPIA (2) (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)
Álvaro Figueira, Nuno Guimarães, Luís Torgo
A Brief Overview on the Strategiesto Fight Back the Spreadof False Information. J. Web Eng. 18 (4-6) (2019)
Nuno Moniz, Luís Torgo
A review on web content popularity prediction: Issues and open challenges. Online Soc. Networks Media 12 (2019)
Nuno Moniz, Luís Torgo
The Utility Problem of Web Content Popularity Prediction. HT (2018)
Mariana Oliveira, Luís Torgo, Vítor Santos Costa
Evaluation Procedures for Forecasting with Spatio-Temporal Data. ECML/PKDD (1) (2018)
Nuno Guimarães, Álvaro Figueira, Luís Torgo
Analysis and Detection of Unreliable Users in Twitter: Two Case Studies. IC3K (2018)
Álvaro Figueira, Nuno Guimarães, Luís Torgo
Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges. WEBIST (2018)
Nuno Guimarães, Álvaro Figueira, Luís Torgo
Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour. KDIR (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro
MetaUtil: Meta Learning for Utility Maximization in Regression. DS (2018)
Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
Cost-Sensitive Learning: Preface. COST@SDM (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)
Paula Branco, Luís Torgo, Rita P. Ribeiro
REBAGG: REsampled BAGGing for Imbalanced Regression. LIDTA@ECML/PKDD (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Resampling with neighbourhood bias on imbalanced domains. Expert Syst. J. Knowl. Eng. 35 (4) (2018)
Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2018)
Nuno Moniz, Luís Torgo
Multi-Source Social Feedback of Online News Feeds. CoRR (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
Learning Through Utility Optimization in Regression Tasks. DSAA (2017)
Vítor Cerqueira, Luís Torgo, Carlos Soares
Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) (2017)
Nuno Moniz, Paula Branco, Luís Torgo
Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. 3 (3) (2017)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA (2017)
Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35 (4) (2017)
Luís Baía, Luís Torgo
A comparative study of approaches to forecast the correct trading actions. Expert Syst. J. Knowl. Eng. 34 (1) (2017)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) (2017)
Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA (2017)
Paula Branco, Luís Torgo, Rita P. Ribeiro
SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML (2017)
Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
Arbitrated Ensemble for Time Series Forecasting. ECML/PKDD (2) (2017)
Nuno Moniz, Paula Branco, Luís Torgo
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML (2017)
Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML (2017)
Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic
A Comparative Study of Performance Estimation Methods for Time Series Forecasting. DSAA (2017)
Mariana Oliveira, Luís Torgo, Vítor Santos Costa
Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches. DS (2016)
Nuno Guimarães, Luís Torgo, Álvaro Figueira
Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis. KDIR (2016)
Paula Branco, Rita P. Ribeiro, Luís Torgo
UBL: an R package for Utility-based Learning. CoRR (2016)
Paula Branco, Luís Torgo, Rita P. Ribeiro
A Survey of Predictive Modeling on Imbalanced Domains. ACM Comput. Surv. 49 (2) (2016)
Nuno Moniz, Luís Torgo, João Vinagre
Data-Driven Relevance Judgments for Ranking Evaluation. CoRR (2016)
Nuno Moniz, Luís Torgo, Magdalini Eirinaki
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops (2016)
Nuno Moniz, Paula Branco, Luís Torgo
Resampling Strategies for Imbalanced Time Series. DSAA (2016)
Paula Branco, Luís Torgo, Rita P. Ribeiro
A Survey of Predictive Modelling under Imbalanced Distributions. CoRR (2015)
Luís Baía, Luís Torgo
Forecasting the Correct Trading Actions. EPIA (2015)
Nuno Moniz, Luís Torgo
Socially Driven News Recommendation. CoRR (2015)
Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer
Resampling strategies for regression. Expert Syst. J. Knowl. Eng. 32 (3) (2015)
Leona Nezvalová, Lubos Popelínský, Luís Torgo, Karel Vaculík
Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? IDA (2015)
Mariana Oliveira, Luís Torgo
Ensembles for Time Series Forecasting. ACML (2014)
Nuno Moniz, Luís Torgo, Fátima Rodrigues
Resampling Approaches to Improve News Importance Prediction. IDA (2014)
Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luís Torgo
OpenML: networked science in machine learning. CoRR (2014)
Luís Torgo
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R. CoRR (2014)
Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luís Torgo
OpenML: networked science in machine learning. SIGKDD Explor. 15 (2) (2013)
Jan N. van Rijn, Bernd Bischl, Luís Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren
OpenML: A Collaborative Science Platform. ECML/PKDD (3) (2013)
Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco
SMOTE for Regression. EPIA (2013)
Brett Drury, Luís Torgo, José João Almeida
Classifying News Stories with a Constrained Learning Strategy to Estimate the Direction of a Market Index. Int. J. Comput. Sci. Appl. 9 (1) (2012)
Orlando Ohashi, Luís Torgo
Spatial Interpolation Using Multiple Regression. ICDM (2012)
Orlando Ohashi, Luís Torgo
Wind speed forecasting using spatio-temporal indicators. ECAI (2012)
Luís Torgo, Elsa Lopes
Utility-Based Fraud Detection. IJCAI (2011)
Luís Torgo, Orlando Ohashi
2D-interval predictions for time series. KDD (2011)
Brett Drury, Gaël Dias, Luís Torgo
A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News. RANLP (2011)
Orlando Ohashi, Luís Torgo, Rita P. Ribeiro
Interval Forecast of Water Quality Parameters. ECAI (2010)
Luís Torgo, Welma Pereira, Carlos Soares
Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. EPIA (2009)
Luís Torgo, Rita P. Ribeiro
Precision and Recall for Regression. Discovery Science (2009)
Luís Torgo, Rita P. Ribeiro
Utility-Based Regression. PKDD (2007)
Luís Torgo
Resource-Bounded Fraud Detection. EPIA Workshops (2007)
Luís Torgo, Rita P. Ribeiro
Predicting Rare Extreme Values. PAKDD (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luís Torgo