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Luís Torgo

Luis Torgo

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affiliation: University of Porto, Portugal

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2018
[c51]
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Nuno Moniz, Luís Torgo:
The Utility Problem of Web Content Popularity Prediction. HT 2018: 82-86
[p1]
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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]
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Nuno Moniz, Luís Torgo:
Multi-Source Social Feedback of Online News Feeds. CoRR abs/1801.07055 (2018)
[i7]
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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]
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Luís Baía, Luís Torgo:
A comparative study of approaches to forecast the correct trading actions. Expert Systems 34(1) (2017)
[j10]
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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]
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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]
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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]
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Vítor Cerqueira, Luis Torgo, Mariana Oliveira, Bernhard Pfahringer:
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. DSAA 2017: 242-251
[c48]
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Vítor Cerqueira, Luis Torgo, Jasmina Smailovic, Igor Mozetic:
A Comparative Study of Performance Estimation Methods for Time Series Forecasting. DSAA 2017: 529-538
[c47]
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Paula Branco, Luís Torgo, Rita P. Ribeiro:
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA 2017: 513-524
[c46]
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Vítor Cerqueira, Luís Torgo, Carlos Soares:
Arbitrated Ensemble for Solar Radiation Forecasting. IWANN (1) 2017: 720-732
[c45]
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Paula Branco, Luís Torgo, Rita P. Ribeiro:
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) 2017: 698-710
[c44]
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Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz:
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML 2017: 1-6
[c43]
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Paula Branco, Luís Torgo, Rita P. Ribeiro:
SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML 2017: 36-50
[c42]
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Nuno Moniz, Paula Branco, Luís Torgo:
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML 2017: 129-140
[c41]
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Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares:
Arbitrated Ensemble for Time Series Forecasting. ECML/PKDD (2) 2017: 478-494
[r4]
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Luís Torgo:
Model Trees. Encyclopedia of Machine Learning and Data Mining 2017: 845-848
[r3]
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Luís Torgo:
Regression Trees. Encyclopedia of Machine Learning and Data Mining 2017: 1080-1083
2016
[j8]
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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]
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Mariana Oliveira, Luís Torgo, Vítor Santos Costa:
Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches. DS 2016: 183-197
[c39]
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Nuno Moniz, Paula Branco, Luis Torgo:
Resampling Strategies for Imbalanced Time Series. DSAA 2016: 282-291
[c38]
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Nuno Guimarães, Luis Torgo, Álvaro Figueira:
Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis. KDIR 2016: 463-471
[c37]
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Nuno Moniz, Luís Torgo, Magdalini Eirinaki:
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops 2016: 1066-1073
[i6]
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Paula Branco, Rita P. Ribeiro, Luís Torgo:
UBL: an R package for Utility-based Learning. CoRR abs/1604.08079 (2016)
[i5]
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Nuno Moniz, Luís Torgo, João Vinagre:
Data-Driven Relevance Judgments for Ranking Evaluation. CoRR abs/1612.06136 (2016)
2015
[j7]
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Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer:
Resampling strategies for regression. Expert Systems 32(3): 465-476 (2015)
[c36]
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Luís Baía, Luís Torgo:
Forecasting the Correct Trading Actions. EPIA 2015: 560-571
[c35]
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  - conf/ida/NezvalovaPTV15
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Leona Nezvalová, Lubos Popelínský, Luis Torgo, Karel Vaculík:
Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? IDA 2015: 193-204
[i4]
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Paula Branco, Luis Torgo, Rita P. Ribeiro:
A Survey of Predictive Modelling under Imbalanced Distributions. CoRR abs/1505.01658 (2015)
[i3]
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Nuno Moniz, Luís Torgo:
Socially Driven News Recommendation. CoRR abs/1506.01743 (2015)
2014
[c34]
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Mariana Oliveira, Luis Torgo:
Ensembles for Time Series Forecasting. ACML 2014
[c33]
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Nuno Moniz, Luís Torgo, Fátima Rodrigues:
Resampling Approaches to Improve News Importance Prediction. IDA 2014: 215-226
[i2]
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Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo:
OpenML: networked science in machine learning. CoRR abs/1407.7722 (2014)
[i1]
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Luis Torgo:
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R. CoRR abs/1412.0436 (2014)
2013
[j6]
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  - journals/sigkdd/VanschorenRBT13
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Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo:
OpenML: networked science in machine learning. SIGKDD Explorations 15(2): 49-60 (2013)
[c32]
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Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco:
SMOTE for Regression. EPIA 2013: 378-389
[c31]
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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]
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  - journals/ijcsa/DruryTA12
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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]
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Orlando Ohashi, Luís Torgo:
Wind speed forecasting using spatio-temporal indicators. ECAI 2012: 975-980
[c29]
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Orlando Ohashi, Luís Torgo:
Spatial Interpolation Using Multiple Regression. ICDM 2012: 1044-1049
2011
[c28]
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  - conf/ijcai/TorgoL11
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Luís Torgo, Elsa Lopes:
Utility-Based Fraud Detection. IJCAI 2011: 1517-1522
[c27]
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Luís Torgo, Orlando Ohashi:
2D-interval predictions for time series. KDD 2011: 787-794
[c26]
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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]
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Luís Torgo:
Data Mining with R: Learning with Case Studies. Chapman and Hall/CRC Press 2010, ISBN 9781439810187
[c25]
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Orlando Ohashi, Luís Torgo, Rita P. Ribeiro:
Interval Forecast of Water Quality Parameters. ECAI 2010: 283-288
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Luís Torgo:
Model Trees. Encyclopedia of Machine Learning 2010: 684-686
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Luís Torgo:
Regression Trees. Encyclopedia of Machine Learning 2010: 842-845

2000 – 2009

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2009
[c24]
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Luís Torgo, Rita P. Ribeiro:
Precision and Recall for Regression. Discovery Science 2009: 332-346
[c23]
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Luís Torgo, Welma Pereira, Carlos Soares:
Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. EPIA 2009: 435-446
2007
[c22]
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Luís Torgo:
Resource-Bounded Fraud Detection. EPIA Workshops 2007: 449-460
[c21]
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Luís Torgo, Rita P. Ribeiro:
Utility-Based Regression. PKDD 2007: 597-604
2006
[j4]
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  - journals/ijdar/SilvaJT06
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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]
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Rita P. Ribeiro, Luís Torgo:
Rule-Based Prediction of Rare Extreme Values. Discovery Science 2006: 219-230
[c19]
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Luís Torgo, Rita P. Ribeiro:
Predicting Rare Extreme Values. PAKDD 2006: 816-820
2005
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  - conf/epia/TorgoM05
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Luís Torgo, Joana Marques:
Adapting Peepholing to Regression Trees. EPIA 2005: 293-303
[c17]
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Luís Torgo:
Regression error characteristic surfaces. KDD 2005: 697-702
[e2]
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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]
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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
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Luís Torgo, Joaquim Pinto da Costa:
Clustered Partial Linear Regression. Machine Learning 50(3): 303-319 (2003)
[c16]
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Rita P. Ribeiro, Luís Torgo:
Predicting Harmful Algae Blooms. EPIA 2003: 308-312
[c15]
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Ana Costa e Silva, Alípio Jorge, Luís Torgo:
Automatic Selection of Table Areas in Documents for Information Extraction. EPIA 2003: 460-465
[c14]
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Luís Torgo, Rita P. Ribeiro:
Predicting Outliers. PKDD 2003: 447-458
2001
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Luís Torgo:
A Study on End-Cut Preference in Least Squares Regression Trees. EPIA 2001: 104-115
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Pedro de Almeida, Luís Torgo:
The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction. EPIA 2001: 116-129
2000
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Luís Torgo:
Thesis: Inductive learning to tree-based regression models. AI Commun. 13(2): 137-138 (2000)
[c11]
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Luís Torgo, Joaquim Pinto da Costa:
Clustered Partial Linear Regression. ECML 2000: 426-436
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Luís Torgo:
Partial Linear Trees. ICML 2000: 1007-1014
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Luís Torgo:
Efficient and Comprehensible Local Regression. PAKDD 2000: 376-379

1990 – 1999

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1998
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Luís Torgo:
Error Estimators for Pruning Regression Trees. ECML 1998: 125-130
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João Gama, Luís Torgo, Carlos Soares:
Dynamic Discretization of Continuous Attributes. IBERAMIA 1998: 160-169
1997
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Luís Torgo, João Gama:
Regression Using Classification Algorithms. Intell. Data Anal. 1(1-4): 275-292 (1997)
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Luís Torgo, João Gama:
Search-Based Class Discretization. ECML 1997: 266-273
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Luís Torgo:
Functional Models for Regression Tree Leaves. ICML 1997: 385-393
1996
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Luís Torgo, João Gama:
Regression by Classification. SBIA 1996: 51-60
1993
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Luís Torgo:
Controlled Redundancy in Incremental Rule Learning. ECML 1993: 185-195
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Luís Torgo:
Rule Combination in Inductive Learning. ECML 1993: 384-389
1991
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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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