Luís Torgo - RankMe

143 papers A* 8A 2B 20C 4Misc 10Journal 53Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Architecture and implementation of ulrb algorithm in R. Ecol. Informatics Francisco Pascoal, Rodrigo Costa, Luís Torgo, Catarina Magalhães, Paula Branco
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	B	`conf`	Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. DS Carlos Soares, Paulo J. Azevedo, Vítor Cerqueira, Luís Torgo
2025	—	`conf`	Multi-output Ensembles for Multi-step Forecasting. AALTD@ECML/PKDD Vítor Cerqueira, Luís Torgo
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	A*	`conf`	RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. KDD Luis Roque, Carlos Soares, Luís Torgo
2024	J	`jnl`	RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. CoRR Luis Roque, Carlos Soares, Luís Torgo
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	—	`ed.`	Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
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`	Subgroup mining for performance analysis of regression models. Expert Syst. J. Knowl. Eng. João Pimentel, Paulo J. Azevedo, Luís Torgo
2022	—	`conf`	4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	—	`conf`	A Clustering-based Approach for Predicting the Future Location of a Vessel. Canadian AI Md. Mahbub Alam, Luís Torgo
2022	J	`jnl`	A Survey on Spatio-temporal Data Analytics Systems. ACM Comput. Surv. Md. Mahbub Alam, Luís Torgo, 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
2022	—	`ed.`	Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022 LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	—	`conf`	3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	J	`jnl`	A Survey on Spatio-temporal Data Analytics Systems. CoRR Md. Mahbub Alam, Luís Torgo, Albert Bifet
2021	B	`conf`	Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. DSAA Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo
2021	J	`jnl`	An organized review of key factors for fake news detection. CoRR Nuno Guimarães, Álvaro Figueira, Luís Torgo
2021	J	`jnl`	Beyond Average Performance - exploring regions of deviating performance for black box classification models. CoRR Luís Torgo, Paulo Azevedo, Inês Areosa
2021	J	`jnl`	Biased resampling strategies for imbalanced spatio-temporal forecasting. Int. J. Data Sci. Anal. Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
2021	B	`ed.`	Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings DS Carlos Soares, Luís Torgo
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
2021	J	`jnl`	SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin
2021	—	`ed.`	Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021 LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	J	`jnl`	Towards a pragmatic detection of unreliable accounts on social networks. Online Soc. Networks Media Nuno Guimarães, Álvaro Figueira, 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	C	`conf`	Knowledge-based Reliability Metrics for Social Media Accounts. WEBIST Nuno Guimarães, Álvaro Figueira, Luís Torgo
2020	J	`jnl`	Visual interpretation of regression error. Expert Syst. J. Knowl. Eng. Inês Areosa, Luís Torgo
2020	—	`conf`	Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian AI Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
2020	J	`jnl`	Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. CoRR Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
2019	J	`jnl`	A Brief Overview on the Strategiesto Fight Back the Spreadof False Information. J. Web Eng. Álvaro Figueira, Nuno Guimarães, Luís Torgo
2019	B	`conf`	A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. DSAA Paula Branco, Luís Torgo
2019	J	`jnl`	A review on web content popularity prediction: Issues and open challenges. Online Soc. Networks Media Nuno Moniz, Luís Torgo
2019	J	`jnl`	Arbitrage of forecasting experts. Mach. Learn. Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares
2019	B	`conf`	Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. DSAA Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
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`	Explaining the Performance of Black Box Regression Models. DSAA Inês Areosa, Luís Torgo
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
2019	—	`conf`	On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo
2019	J	`jnl`	Pre-processing approaches for imbalanced distributions in regression. Neurocomputing Paula Branco, Luís Torgo, Rita P. Ribeiro
2019	B	`conf`	The CURE for Class Imbalance. DS Colin Bellinger, Paula Branco, Luís Torgo
2019	—	`conf`	Visual Interpretation of Regression Error. EPIA (2) Inês Areosa, Luís Torgo
2018	—	`conf`	2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2018	C	`conf`	Analysis and Detection of Unreliable Users in Twitter: Two Case Studies. IC3K Nuno Guimarães, Álvaro Figueira, Luís Torgo
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	—	`conf`	Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour. KDIR Nuno Guimarães, Álvaro Figueira, Luís Torgo
2018	—	`conf`	Cost-Sensitive Learning: Preface. COST@SDM Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
2018	C	`conf`	Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges. WEBIST Álvaro Figueira, Nuno Guimarães, Luís Torgo
2018	—	`conf`	Evaluation Procedures for Forecasting with Spatio-Temporal Data. ECML/PKDD (1) Mariana Oliveira, Luís Torgo, Vítor Santos Costa
2018	J	`jnl`	How to evaluate sentiment classifiers for Twitter time-ordered data? CoRR Igor Mozetic, Luís Torgo, Vítor Cerqueira, Jasmina Smailovic
2018	B	`conf`	MetaUtil: Meta Learning for Utility Maximization in Regression. DS Paula Branco, Luís Torgo, Rita P. Ribeiro
2018	J	`jnl`	Multi-Source Social Feedback of Online News Feeds. CoRR Nuno Moniz, Luís Torgo
2018	—	`conf`	REBAGG: REsampled BAGGing for Imbalanced Regression. LIDTA@ECML/PKDD Paula Branco, Luís Torgo, Rita P. Ribeiro
2018	J	`jnl`	Resampling with neighbourhood bias on imbalanced domains. Expert Syst. J. Knowl. Eng. Paula Branco, Luís Torgo, Rita P. Ribeiro
2018	—	`conf`	The Utility Problem of Web Content Popularity Prediction. HT Nuno Moniz, Luís Torgo
2018	—	`ch.`	Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons. Social Network Based Big Data Analysis and Applications Nuno Guimarães, Luís Torgo, Álvaro Figueira
2017	B	`conf`	A Comparative Study of Performance Estimation Methods for Time Series Forecasting. DSAA Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic
2017	J	`jnl`	A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
2017	J	`jnl`	A comparative study of approaches to forecast the correct trading actions. Expert Syst. J. Knowl. Eng. Luís Baía, Luís Torgo
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`	Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML Nuno Moniz, Paula Branco, Luís Torgo
2017	Misc	`conf`	Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA Paula Branco, Luís Torgo, Rita P. Ribeiro
2017	B	`conf`	Learning Through Utility Optimization in Regression Tasks. DSAA Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
2017	—	`conf`	Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
2017	—	`ch.`	Model Trees. Encyclopedia of Machine Learning and Data Mining Luís Torgo
2017	—	`ch.`	Regression Trees. Encyclopedia of Machine Learning and Data Mining Luís Torgo
2017	—	`conf`	Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) Paula Branco, Luís Torgo, Rita P. Ribeiro
2017	J	`jnl`	Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. Nuno Moniz, Paula Branco, Luís Torgo
2017	—	`conf`	SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML Paula Branco, Luís Torgo, Rita P. Ribeiro
2016	J	`jnl`	A Survey of Predictive Modeling on Imbalanced Domains. ACM Comput. Surv. Paula Branco, Luís Torgo, Rita P. Ribeiro
2016	J	`jnl`	Data-Driven Relevance Judgments for Ranking Evaluation. CoRR Nuno Moniz, Luís Torgo, João Vinagre
2016	—	`conf`	Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis. KDIR Nuno Guimarães, Luís Torgo, Álvaro Figueira
2016	B	`conf`	Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches. DS Mariana Oliveira, Luís Torgo, Vítor Santos Costa
2016	B	`conf`	Resampling Strategies for Imbalanced Time Series. DSAA Nuno Moniz, Paula Branco, Luís Torgo
2016	—	`conf`	Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops Nuno Moniz, Luís Torgo, Magdalini Eirinaki
2016	J	`jnl`	UBL: an R package for Utility-based Learning. CoRR Paula Branco, Rita P. Ribeiro, Luís Torgo
2015	J	`jnl`	A Survey of Predictive Modelling under Imbalanced Distributions. CoRR Paula Branco, Luís Torgo, Rita P. Ribeiro
2015	B	`conf`	Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? IDA Leona Nezvalová, Lubos Popelínský, Luís Torgo, Karel Vaculík
2015	Misc	`conf`	Forecasting the Correct Trading Actions. EPIA Luís Baía, Luís Torgo
2015	J	`jnl`	Resampling strategies for regression. Expert Syst. J. Knowl. Eng. Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer
2015	J	`jnl`	Socially Driven News Recommendation. CoRR Nuno Moniz, Luís Torgo
2014	J	`jnl`	An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R. CoRR Luís Torgo
2014	C	`conf`	Ensembles for Time Series Forecasting. ACML Mariana Oliveira, Luís Torgo
2014	J	`jnl`	OpenML: networked science in machine learning. CoRR Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luís Torgo
2014	B	`conf`	Resampling Approaches to Improve News Importance Prediction. IDA Nuno Moniz, Luís Torgo, Fátima Rodrigues
2013	—	`conf`	OpenML: A Collaborative Science Platform. ECML/PKDD (3) Jan N. van Rijn, Bernd Bischl, Luís Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren
2013	J	`jnl`	OpenML: networked science in machine learning. SIGKDD Explor. Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luís Torgo
2013	Misc	`conf`	SMOTE for Regression. EPIA Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco
2012	J	`jnl`	Classifying News Stories with a Constrained Learning Strategy to Estimate the Direction of a Market Index. Int. J. Comput. Sci. Appl. Brett Drury, Luís Torgo, José João Almeida
2012	A*	`conf`	Spatial Interpolation Using Multiple Regression. ICDM Orlando Ohashi, Luís Torgo
2012	A	`conf`	Wind speed forecasting using spatio-temporal indicators. ECAI Orlando Ohashi, Luís Torgo
2011	A*	`conf`	2D-interval predictions for time series. KDD Luís Torgo, Orlando Ohashi
2011	Misc	`conf`	A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News. RANLP Brett Drury, Gaël Dias, Luís Torgo
2011	A*	`conf`	Utility-Based Fraud Detection. IJCAI Luís Torgo, Elsa Lopes
2010	—	`book`	Data Mining with R: Learning with Case Studies Luís Torgo
2010	A	`conf`	Interval Forecast of Water Quality Parameters. ECAI Orlando Ohashi, Luís Torgo, Rita P. Ribeiro
2010	—	`ch.`	Model Trees. Encyclopedia of Machine Learning Luís Torgo
2010	—	`ch.`	Regression Trees. Encyclopedia of Machine Learning Luís Torgo
2010	—	`ch.`	Resource-bounded Outlier Detection using Clustering Methods. Data Mining for Business Applications Luís Torgo, Carlos Soares
2009	Misc	`conf`	Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. EPIA Luís Torgo, Welma Pereira, Carlos Soares
2009	B	`conf`	Precision and Recall for Regression. Discovery Science Luís Torgo, Rita P. Ribeiro
2007	—	`conf`	Resource-Bounded Fraud Detection. EPIA Workshops Luís Torgo
2007	—	`conf`	Utility-Based Regression. PKDD Luís Torgo, Rita P. Ribeiro
2006	J	`jnl`	Design of an end-to-end method to extract information from tables. Int. J. Document Anal. Recognit. Ana Costa e Silva, Alípio Mário Jorge, Luís Torgo
2006	B	`conf`	Predicting Rare Extreme Values. PAKDD Luís Torgo, Rita P. Ribeiro
2006	B	`conf`	Rule-Based Prediction of Rare Extreme Values. Discovery Science Rita P. Ribeiro, Luís Torgo
2005	Misc	`conf`	Adapting Peepholing to Regression Trees. EPIA Luís Torgo, Joana Marques
2005	—	`ed.`	Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings PKDD Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama
2005	—	`ed.`	Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings ECML João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo
2005	A*	`conf`	Regression error characteristic surfaces. KDD Luís Torgo
2003	Misc	`conf`	Automatic Selection of Table Areas in Documents for Information Extraction. EPIA Ana Costa e Silva, Alípio Jorge, Luís Torgo
2003	J	`jnl`	Clustered Partial Linear Regression. Mach. Learn. Luís Torgo, Joaquim Pinto da Costa
2003	Misc	`conf`	Predicting Harmful Algae Blooms. EPIA Rita P. Ribeiro, Luís Torgo
2003	—	`conf`	Predicting Outliers. PKDD Luís Torgo, Rita P. Ribeiro
2001	Misc	`conf`	A Study on End-Cut Preference in Least Squares Regression Trees. EPIA Luís Torgo
2001	Misc	`conf`	The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction. EPIA Pedro de Almeida, Luís Torgo
2000	—	`conf`	Clustered Partial Linear Regression. ECML Luís Torgo, Joaquim Pinto da Costa
2000	B	`conf`	Efficient and Comprehensible Local Regression. PAKDD Luís Torgo
2000	A*	`conf`	Partial Linear Trees. ICML Luís Torgo
2000	J	`jnl`	Thesis: Inductive learning to tree-based regression models. AI Commun. Luís Torgo
1998	—	`conf`	Dynamic Discretization of Continuous Attributes. IBERAMIA João Gama, Luís Torgo, Carlos Soares
1998	—	`conf`	Error Estimators for Pruning Regression Trees. ECML Luís Torgo
1997	A*	`conf`	Functional Models for Regression Tree Leaves. ICML Luís Torgo
1997	J	`jnl`	Regression Using Classification Algorithms. Intell. Data Anal. Luís Torgo, João Gama
1997	—	`conf`	Search-Based Class Discretization. ECML Luís Torgo, João Gama
1996	—	`conf`	Regression by Classification. SBIA Luís Torgo, João Gama
1993	—	`conf`	Controlled Redundancy in Incremental Rule Learning. ECML Luís Torgo
1993	—	`conf`	Rule Combination in Inductive Learning. ECML Luís Torgo
1991	—	`conf`	Panel: Learning in Distributed Systems and Multi-Agent Environments. EWSL Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde