Luís Torgo

According to our database, Luís Torgo authored at least 121 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms.

Luis Roque, Carlos Soares, Luís Torgo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Subgroup mining for performance analysis of regression models.

João Pimentel, Paulo J. Azevedo, Luís Torgo

Expert Syst. J. Knowl. Eng., 2023

Multi-output Ensembles for Multi-step Forecasting.

Vítor Cerqueira, Luís Torgo

CoRR, 2023

2022

A Survey on Spatio-temporal Data Analytics Systems.

Md. Mahbub Alam, Luís Torgo, Albert Bifet

ACM Comput. Surv., January, 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

4th Workshop on Learning with Imbalanced Domains: Preface.

Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

A Clustering-based Approach for Predicting the Future Location of a Vessel.

Md. Mahbub Alam, Luís Torgo

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

Towards a pragmatic detection of unreliable accounts on social networks.

Nuno Guimarães, Álvaro Figueira, Luís Torgo

Online Soc. Networks Media, 2021

Biased resampling strategies for imbalanced spatio-temporal forecasting.

Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa

Int. J. Data Sci. Anal., 2021

SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels.

Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin

GeoInformatica, 2021

Beyond Average Performance - exploring regions of deviating performance for black box classification models.

Luís Torgo, Paulo Azevedo, Inês Areosa

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

An organized review of key factors for fake news detection.

Nuno Guimarães, Álvaro Figueira, Luís Torgo

CoRR, 2021

3rd Workshop on Learning with Imbalanced Domains: Preface.

Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms.

Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

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

Vítor Cerqueira, Luís Torgo, Igor Mozetic

Mach. Learn., 2020

Visual interpretation of regression error.

Inês Areosa, Luís Torgo

Expert Syst. J. Knowl. Eng., 2020

Knowledge-based Reliability Metrics for Social Media Accounts.

Nuno Guimarães, Álvaro Figueira, Luís Torgo

Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020

Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation.

Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo

Proceedings of the Advances in Artificial Intelligence, 2020

2019

A review on web content popularity prediction: Issues and open challenges.

Nuno Moniz, Luís Torgo

Online Soc. Networks Media, 2019

Arbitrage of forecasting experts.

Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares

Mach. Learn., 2019

A Brief Overview on the Strategiesto Fight Back the Spreadof False Information.

Álvaro Figueira, Nuno Guimarães, Luís Torgo

J. Web Eng., 2019

Pre-processing approaches for imbalanced distributions in regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Neurocomputing, 2019

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

Vítor Cerqueira, Luís Torgo, Carlos Soares

CoRR, 2019

On Feature Selection and Evaluation of Transportation Mode Prediction Strategies.

Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo

Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks.

Paula Branco, Luís Torgo

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Explaining the Performance of Black Box Regression Models.

Inês Areosa, Luís Torgo

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 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

The CURE for Class Imbalance.

Colin Bellinger, Paula Branco, Luís Torgo

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

2018

News Popularity in Multiple Social Media Platforms.

Luís Torgo, Nuno Moniz

Dataset, February, 2018

Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons.

Nuno Guimarães, Luís Torgo, Álvaro Figueira

Proceedings of the Social Network Based Big Data Analysis and Applications, 2018

Resampling with neighbourhood bias on imbalanced domains.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Expert Syst. J. Knowl. Eng., 2018

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

Igor Mozetic, Luís Torgo, Vítor Cerqueira, Jasmina Smailovic

CoRR, 2018

Multi-Source Social Feedback of Online News Feeds.

Nuno Moniz, Luís Torgo

CoRR, 2018

Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges.

Álvaro Figueira, Nuno Guimarães, Luís Torgo

Proceedings of the 14th International Conference on Web Information Systems and Technologies, 2018

Cost-Sensitive Learning: Preface.

Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco

Proceedings of the International Workshop on Cost-Sensitive Learning, 2018

2nd Workshop on Learning with Imbalanced Domains: Preface.

Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 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

REBAGG: REsampled BAGGing for Imbalanced Regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Evaluation Procedures for Forecasting with Spatio-Temporal Data.

Mariana Oliveira, Luís Torgo, Vítor Santos Costa

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

Analysis and Detection of Unreliable Users in Twitter: Two Case Studies.

Nuno Guimarães, Álvaro Figueira, Luís Torgo

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018

Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour.

Nuno Guimarães, Álvaro Figueira, Luís Torgo

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

The Utility Problem of Web Content Popularity Prediction.

Nuno Moniz, Luís Torgo

Proceedings of the 29th on Hypertext and Social Media, 2018

MetaUtil: Meta Learning for Utility Maximization in Regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Regression Trees.

Luís Torgo

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Model Trees.

Luís Torgo

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

A Framework for Recommendation of Highly Popular News Lacking Social Feedback.

Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco

New Gener. Comput., 2017

Resampling strategies for imbalanced time series forecasting.

Nuno Moniz, Paula Branco, Luís Torgo

Int. J. Data Sci. Anal., 2017

A comparative study of approaches to forecast the correct trading actions.

Luís Baía, Luís Torgo

Expert Syst. J. Knowl. Eng., 2017

Learning with Imbalanced Domains: Preface.

Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Evaluation of Ensemble Methods in Imbalanced Regression Tasks.

Nuno Moniz, Paula Branco, Luís Torgo

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 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

SMOGN: a Pre-processing Approach for Imbalanced Regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Arbitrated Ensemble for Solar Radiation Forecasting.

Vítor Cerqueira, Luís Torgo, Carlos Soares

Proceedings of the Advances in Computational Intelligence, 2017

Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Progress in Artificial 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

Learning Through Utility Optimization in Regression Tasks.

Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau

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

2016

A Survey of Predictive Modeling on Imbalanced Domains.

Paula Branco, Luís Torgo, Rita P. Ribeiro

ACM Comput. Surv., 2016

Data-Driven Relevance Judgments for Ranking Evaluation.

Nuno Moniz, Luís Torgo, João Vinagre

CoRR, 2016

UBL: an R package for Utility-based Learning.

Paula Branco, Rita P. Ribeiro, Luís Torgo

CoRR, 2016

Time-Based Ensembles for Prediction of Rare Events in News Stream.

Nuno Moniz, Luís Torgo, Magdalini Eirinaki

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis.

Nuno Guimarães, Luís Torgo, Álvaro Figueira

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

Resampling Strategies for Imbalanced Time Series.

Nuno Moniz, Paula Branco, Luís Torgo

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches.

Mariana Oliveira, Luís Torgo, Vítor Santos Costa

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

Resampling strategies for regression.

Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer

Expert Syst. J. Knowl. Eng., 2015

Socially Driven News Recommendation.

Nuno Moniz, Luís Torgo

CoRR, 2015

A Survey of Predictive Modelling under Imbalanced Distributions.

Paula Branco, Luís Torgo, Rita P. Ribeiro

CoRR, 2015

Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?

Leona Nezvalová, Lubos Popelínský, Luís Torgo, Karel Vaculík

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Forecasting the Correct Trading Actions.

Luís Baía, Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2015

2014

An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R.

Luís Torgo

CoRR, 2014

Resampling Approaches to Improve News Importance Prediction.

Nuno Moniz, Luís Torgo, Fátima Rodrigues

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Ensembles for Time Series Forecasting.

Mariana Oliveira, Luís Torgo

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

OpenML: networked science in machine learning.

Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luís Torgo

SIGKDD Explor., 2013

OpenML: A Collaborative Science Platform.

Jan N. van Rijn, Bernd Bischl, Luís Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

SMOTE for Regression.

Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco

Proceedings of the Progress in Artificial Intelligence, 2013

2012

Classifying News Stories with a Constrained Learning Strategy to Estimate the Direction of a Market Index.

Brett Drury, Luís Torgo, José João Almeida

Int. J. Comput. Sci. Appl., 2012

Spatial Interpolation Using Multiple Regression.

Orlando Ohashi, Luís Torgo

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Wind speed forecasting using spatio-temporal indicators.

Orlando Ohashi, Luís Torgo

Proceedings of the ECAI 2012, 2012

2011

A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News.

Brett Drury, Gaël Dias, Luís Torgo

Proceedings of the Recent Advances in Natural Language Processing, 2011

2D-interval predictions for time series.

Luís Torgo, Orlando Ohashi

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Utility-Based Fraud Detection.

Luís Torgo, Elsa Lopes

Proceedings of the IJCAI 2011, 2011

2010

Resource-bounded Outlier Detection using Clustering Methods.

Luís Torgo, Carlos Soares

Proceedings of the Data Mining for Business Applications, 2010

Regression Trees.

Luís Torgo

Proceedings of the Encyclopedia of Machine Learning, 2010

Model Trees.

Luís Torgo

Proceedings of the Encyclopedia of Machine Learning, 2010

Interval Forecast of Water Quality Parameters.

Orlando Ohashi, Luís Torgo, Rita P. Ribeiro

Proceedings of the ECAI 2010, 2010

Data Mining with R: Learning with Case Studies

Luís Torgo

Chapman and Hall/CRC Press, ISBN: 9781439810187, 2010

2009

Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data.

Luís Torgo, Welma Pereira, Carlos Soares

Proceedings of the Progress in Artificial Intelligence, 2009

Precision and Recall for Regression.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Discovery Science, 12th International Conference, 2009

2007

Utility-Based Regression.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Resource-Bounded Fraud Detection.

Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2007

2006

Design of an end-to-end method to extract information from tables.

Ana Costa e Silva, Alípio Mário Jorge, Luís Torgo

Int. J. Document Anal. Recognit., 2006

Predicting Rare Extreme Values.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Rule-Based Prediction of Rare Extreme Values.

Rita P. Ribeiro, Luís Torgo

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

Regression error characteristic surfaces.

Luís Torgo

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Adapting Peepholing to Regression Trees.

Luís Torgo, Joana Marques

Proceedings of the Progress in Artificial Intelligence, 2005

2003

Clustered Partial Linear Regression.

Luís Torgo, Joaquim Pinto da Costa

Mach. Learn., 2003

Predicting Outliers.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Automatic Selection of Table Areas in Documents for Information Extraction.

Ana Costa e Silva, Alípio Jorge, Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2003

Predicting Harmful Algae Blooms.

Rita P. Ribeiro, Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2003

2001

A Study on End-Cut Preference in Least Squares Regression Trees.

Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2001

The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction.

Pedro de Almeida, Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2001

2000

Thesis: Inductive learning to tree-based regression models.

Luís Torgo

AI Commun., 2000

Efficient and Comprehensible Local Regression.

Luís Torgo

Proceedings of the Knowledge Discovery and Data Mining, 2000

Partial Linear Trees.

Luís Torgo

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Dynamic Discretization of Continuous Attributes.

João Gama, Luís Torgo, Carlos Soares

Proceedings of the Progress in Artificial Intelligence, 1998

Error Estimators for Pruning Regression Trees.

Luís Torgo

Proceedings of the Machine Learning: ECML-98, 1998

1997

Regression Using Classification Algorithms.

Luís Torgo, João Gama

Intell. Data Anal., 1997

Functional Models for Regression Tree Leaves.

Luís Torgo

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Search-Based Class Discretization.

Luís Torgo, João Gama

Proceedings of the Machine Learning: ECML-97, 1997

1996

Regression by Classification.

Luís Torgo, João Gama

Proceedings of the Advances in Artificial Intelligence, 1996

1993

Rule Combination in Inductive Learning.

Luís Torgo

Proceedings of the Machine Learning: ECML-93, 1993

Controlled Redundancy in Incremental Rule Learning.

Luís Torgo

Proceedings of the Machine Learning: ECML-93, 1993

1991

Panel: Learning in Distributed Systems and Multi-Agent Environments.

Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde

Proceedings of the Machine Learning, 1991