71
TITLE: Arbitrated Ensemble for Time Series Forecasting
AUTHORS: Vitor Cerqueira ; Luis Torgo ; Faboi Pinto; Carlos Soares ;
PUBLISHED: 2017, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II, VOLUME: 10535
INDEXED IN: Scopus WOS DBLP CrossRef: 48
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72
TITLE: Dynamic and Heterogeneous Ensembles for Time Series Forecasting
AUTHORS: Cerqueira, V ; Torgo, L ; Oliveira, M ; Pfahringer, B;
PUBLISHED: 2017, SOURCE: 4th IEEE / ACM / ASA International Conference on Data Science and Advanced Analytics (DSAA) in 2017 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), VOLUME: 2018-January
INDEXED IN: Scopus WOS DBLP CrossRef: 13
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73
TITLE: Evaluation of Ensemble Methods in Imbalanced Regression Tasks
AUTHORS: Nuno Moniz ; Paula Branco ; Luís Torgo ;
PUBLISHED: 2017, SOURCE: First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia, VOLUME: 74
INDEXED IN: DBLP
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74
TITLE: Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems
AUTHORS: Paula Branco ; Luis Torgo ; Rita P Ribeiro ;
PUBLISHED: 2017, SOURCE: 18th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017), VOLUME: 10423
INDEXED IN: Scopus WOS DBLP CrossRef: 2
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75
TITLE: Learning Through Utility Optimization in Regression Tasks
AUTHORS: Branco, P ; Torgo, L ; Ribeiro, RP ; Frank, E; Pfahringer, B; Rau, MM;
PUBLISHED: 2017, SOURCE: 4th IEEE / ACM / ASA International Conference on Data Science and Advanced Analytics (DSAA) in 2017 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), VOLUME: 2018-January
INDEXED IN: Scopus WOS DBLP CrossRef: 3
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76
TITLE: Learning with Imbalanced Domains: Preface
AUTHORS: Luís Torgo ; Bartosz Krawczyk; Paula Branco ; Nuno Moniz ;
PUBLISHED: 2017, SOURCE: First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia, VOLUME: 74
INDEXED IN: DBLP
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77
TITLE: Model Trees
AUTHORS: Luís Torgo ;
PUBLISHED: 2017, SOURCE: Encyclopedia of Machine Learning and Data Mining
INDEXED IN: DBLP CrossRef
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78
TITLE: Regression Trees
AUTHORS: Luís Torgo ;
PUBLISHED: 2017, SOURCE: Encyclopedia of Machine Learning and Data Mining
INDEXED IN: DBLP CrossRef: 8
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79
TITLE: Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains
AUTHORS: Branco, P ; Torgo, L ; Ribeiro, RP ;
PUBLISHED: 2017, SOURCE: 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017 in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2017, PT I, VOLUME: 10234
INDEXED IN: Scopus WOS DBLP CrossRef: 33
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80
TITLE: Resampling strategies for imbalanced time series forecasting
AUTHORS: Nuno Moniz ; Paula Branco ; Luís Torgo ;
PUBLISHED: 2017, SOURCE: I. J. Data Science and Analytics, VOLUME: 3, ISSUE: 3
INDEXED IN: Scopus DBLP CrossRef: 27
IN MY: ORCID | DBLP
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