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Semantic ScholarLuís Torgo
Luis Torgo
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- affiliation: University of Porto, Portugal
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2010 – today
- 2018
[j12]Paula Branco, Luis Torgo, Rita P. Ribeiro:
Resampling with neighbourhood bias on imbalanced domains. Expert Systems 35(4) (2018)- [c56]Paula Branco, Luís Torgo, Rita P. Ribeiro:
MetaUtil: Meta Learning for Utility Maximization in Regression. DS 2018: 129-143 - [c55]
- [c54]Nuno Guimarães, Álvaro Figueira, Luís Torgo:
Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour. KDIR 2018: 90-99 - [c53]Vítor Cerqueira, Fábio Pinto, Luis Torgo, Carlos Soares, Nuno Moniz:
Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) 2018: 620-636 - [c52]Mariana Oliveira, Luís Torgo, Vítor Santos Costa:
Evaluation Procedures for Forecasting with Spatio-Temporal Data. ECML/PKDD (1) 2018: 703-718 - [c51]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: 332-339 - [p2]Nuno Guimarães, Luís Torgo, Álvaro Figueira:
Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons. Social Network Based Big Data Analysis and Applications 2018: 1-19 - [i8]Nuno Moniz, Luís Torgo:
Multi-Source Social Feedback of Online News Feeds. CoRR abs/1801.07055 (2018) - [i7]Igor Mozetic, Luis Torgo, Vítor Cerqueira, Jasmina Smailovic:
How to evaluate sentiment classifiers for Twitter time-ordered data? CoRR abs/1803.05160 (2018) - 2017
- [j11]Luís Baía, Luís Torgo:
A comparative study of approaches to forecast the correct trading actions. Expert Systems 34(1) (2017) - [j10]Nuno Moniz, Paula Branco, Luís Torgo:
Resampling strategies for imbalanced time series forecasting. I. J. Data Science and Analytics 3(3): 161-181 (2017) - [j9]Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco:
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Generation Comput. 35(4): 417-450 (2017) - [c50]Paula Branco, Luis Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau:
Learning Through Utility Optimization in Regression Tasks. DSAA 2017: 30-39 - [c49]Vítor Cerqueira, Luis Torgo, Mariana Oliveira, Bernhard Pfahringer:
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA 2017: 242-251 - [c48]Vítor Cerqueira, Luis Torgo, Jasmina Smailovic, Igor Mozetic:
A Comparative Study of Performance Estimation Methods for Time Series Forecasting. DSAA 2017: 529-538 - [c47]Paula Branco, Luís Torgo, Rita P. Ribeiro:
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA 2017: 513-524 - [c46]Vítor Cerqueira, Luís Torgo, Carlos Soares:
Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) 2017: 720-732 - [c45]Paula Branco, Luís Torgo, Rita P. Ribeiro:
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) 2017: 698-710 - [c44]Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz:
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML 2017: 1-6 - [c43]Paula Branco, Luís Torgo, Rita P. Ribeiro:
SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML 2017: 36-50 - [c42]Nuno Moniz, Paula Branco, Luís Torgo:
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML 2017: 129-140 - [c41]Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares:
Arbitrated Ensemble for Time Series Forecasting. ECML/PKDD (2) 2017: 478-494 - [r4]
- [r3]
- 2016
- [j8]Paula Branco, Luís Torgo, Rita P. Ribeiro:
A Survey of Predictive Modeling on Imbalanced Domains. ACM Comput. Surv. 49(2): 31:1-31:50 (2016) - [c40]Mariana Oliveira, Luís Torgo, Vítor Santos Costa:
Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches. DS 2016: 183-197 - [c39]Nuno Moniz, Paula Branco, Luis Torgo:
Resampling Strategies for Imbalanced Time Series. DSAA 2016: 282-291 - [c38]Nuno Guimarães, Luis Torgo, Álvaro Figueira:
Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis. KDIR 2016: 463-471 - [c37]Nuno Moniz, Luís Torgo, Magdalini Eirinaki:
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops 2016: 1066-1073 - [i6]Paula Branco, Rita P. Ribeiro, Luís Torgo:
UBL: an R package for Utility-based Learning. CoRR abs/1604.08079 (2016) - [i5]Nuno Moniz, Luís Torgo, João Vinagre:
Data-Driven Relevance Judgments for Ranking Evaluation. CoRR abs/1612.06136 (2016) - 2015
- [j7]Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer:
Resampling strategies for regression. Expert Systems 32(3): 465-476 (2015) - [c36]
- [c35]Leona Nezvalová, Lubos Popelínský, Luis Torgo, Karel Vaculík:
Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? IDA 2015: 193-204 - [i4]Paula Branco, Luis Torgo, Rita P. Ribeiro:
A Survey of Predictive Modelling under Imbalanced Distributions. CoRR abs/1505.01658 (2015) - [i3]
- 2014
- [c34]
- [c33]Nuno Moniz, Luís Torgo, Fátima Rodrigues:
Resampling Approaches to Improve News Importance Prediction. IDA 2014: 215-226 - [i2]Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo:
OpenML: networked science in machine learning. CoRR abs/1407.7722 (2014) - [i1]Luis Torgo:
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R. CoRR abs/1412.0436 (2014) - 2013
- [j6]Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo:
OpenML: networked science in machine learning. SIGKDD Explorations 15(2): 49-60 (2013) - [c32]Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco:
SMOTE for Regression. EPIA 2013: 378-389 - [c31]Jan N. van Rijn, Bernd Bischl, Luis 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: 645-649 - 2012
- [j5]Brett Drury, Luís Torgo, José João Almeida:
Classifying News Stories with a Constrained Learning Strategy to Estimate the Direction of a Market Index. IJCSA 9(1): 1-22 (2012) - [c30]Orlando Ohashi, Luís Torgo:
Wind speed forecasting using spatio-temporal indicators. ECAI 2012: 975-980 - [c29]
- 2011
- [c28]
- [c27]
- [c26]Brett Drury, Gaël Dias, Luís Torgo:
A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News. RANLP 2011: 434-440 - 2010
- [b1]Luís Torgo:
Data Mining with R: Learning with Case Studies. Chapman and Hall/CRC Press 2010, ISBN 9781439810187 - [c25]Orlando Ohashi, Luís Torgo, Rita P. Ribeiro:
Interval Forecast of Water Quality Parameters. ECAI 2010: 283-288 - [p1]Luis Torgo, Carlos Soares:
Resource-bounded Outlier Detection using Clustering Methods. Data Mining for Business Applications 2010: 84-98 - [r2]
- [r1]
2000 – 2009
- 2009
- [c24]
- [c23]Luís Torgo, Welma Pereira, Carlos Soares:
Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. EPIA 2009: 435-446 - 2007
- [c22]
- [c21]
- 2006
- [j4]Ana Costa e Silva, Alípio Mário Jorge, Luís Torgo:
Design of an end-to-end method to extract information from tables. IJDAR 8(2-3): 144-171 (2006) - [c20]Rita P. Ribeiro, Luís Torgo:
Rule-Based Prediction of Rare Extreme Values. Discovery Science 2006: 219-230 - [c19]
- 2005
- [c18]
- [c17]
- [e2]João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo:
Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3720, Springer 2005, ISBN 3-540-29243-8 [contents] - [e1]Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama:
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. Lecture Notes in Computer Science 3721, Springer 2005, ISBN 3-540-29244-6 [contents] - 2003
- [j3]Luís Torgo, Joaquim Pinto da Costa:
Clustered Partial Linear Regression. Machine Learning 50(3): 303-319 (2003) - [c16]
- [c15]Ana Costa e Silva, Alípio Jorge, Luís Torgo:
Automatic Selection of Table Areas in Documents for Information Extraction. EPIA 2003: 460-465 - [c14]
- 2001
- [c13]
- [c12]Pedro de Almeida, Luís Torgo:
The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction. EPIA 2001: 116-129 - 2000
- [j2]Luís Torgo:
Thesis: Inductive learning to tree-based regression models. AI Commun. 13(2): 137-138 (2000) - [c11]
- [c10]
- [c9]
1990 – 1999
- 1998
- [c8]
- [c7]João Gama, Luís Torgo, Carlos Soares:
Dynamic Discretization of Continuous Attributes. IBERAMIA 1998: 160-169 - 1997
- [j1]Luís Torgo, João Gama:
Regression Using Classification Algorithms. Intell. Data Anal. 1(1-4): 275-292 (1997) - [c6]
- [c5]
- 1996
- [c4]
- 1993
- [c3]
- [c2]
- 1991
- [c1]Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde:
Panel: Learning in Distributed Systems and Multi-Agent Environments. EWSL 1991: 412-423
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