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GeezerVison is showing proceedings.mlr.press — Proceedings of Machine Learning Research [edit] Volume 74: First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 22 September 2017, ECML-PKDD, Skopje, Macedonia[edit] Editors: Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz PrefaceLearning 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, PMLR 74:1-6 [abs][Download PDF] Full PapersInfluence of minority class instance types on SMOTE imbalanced data oversampling Przemysław Skryjomski, Bartosz Krawczyk; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:7-21 [abs][Download PDF] A Network Perspective on Stratification of Multi-Label Data Piotr Szymański, Tomasz Kajdanowicz; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:22-35 [abs][Download PDF] 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, PMLR 74:36-50 [abs][Download PDF] Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours Arjun Pakrashi, Brian Mac Namee; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:51-63 [abs][Download PDF] Sampling a Longer Life: Binary versus One-class classification Revisited Colin Bellinger, Shiven Sharma, Osmar R. Zaı̈ane, Nathalie Japkowicz; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:64-78 [abs][Download PDF] Improving Resampling-based Ensemble in Churn Prediction Bing Zhu, Seppe Broucke, Bart Baesens, Sebastián Maldonado; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:79-91 [abs][Download PDF] Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals Nikou Günnemann, Jürgen Pfeffer; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:92-102 [abs][Download PDF] Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies Xia Cui, Frans Coenen, Danushka Bollegala; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:103-115 [abs][Download PDF] PostersTunable Plug-In Rules with Reduced Posterior Certainty Loss in Imbalanced Datasets Emmanouil Krasanakis, Eleftherios Spyromitros-Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:116-128 [abs][Download PDF] 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, PMLR 74:129-140 [abs][Download PDF] Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:141-151 [abs][Download PDF] Unsupervised Classification of Speaker Profiles as a Point Anomaly Detection Task Cedric Fayet, Arnaud Delhay, Damien Lolive, Pierre-François Marteau; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:152-163 [abs][Download PDF] Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers Paweł Ksieniewicz, Michał Woźniak; Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 74:164-175 [abs][Download PDF] subscribe via RSS |
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