2nd Workshop on Learning with Imbalanced Domains: Preface

Torgo, Luís, Matwin, Stan, Japkowicz, Nathalie, Krawczyk, Bartosz, Moniz, Nuno, Branco, Paula

Abstract

Proceedings of Machine Learning Research 94:1–7, 2018LIDTA 20182nd Workshop onLearning with Imbalanced Domains: PrefaceLu ́ıs Torgoltorgo@dal.caFaculty of Computer Science, Dalhousie UniversityHalifax, CanadaStan Matwinstan@cs.dal.caFaculty of Computer Science, Dalhousie UniversityHalifax, CanadaNathalie Japkowiczjapkowic@american.eduDepartment of Computer Science, American UniversityWashington DC, USABartosz Krawczykbkrawczyk@vcu.eduDepartment of Computer Science, Virginia Commonwealth UniversityRichmond, VA 23284, USANuno Moniznmmoniz@inesctec.ptLIAAD-INESC TEC DCC-FCUP, University of PortoPorto, PortugalPaula Brancopaula.branco@dcc.fc.up.ptLIAAD-INESC TEC DCC-FCUP, University of PortoPorto, PortugalThis volume contains the Proceedings of the Second International Workshop on Learningwith Imbalanced Domains: Theory and Applications - LIDTA2018. This Workshop was co-organised by the Faculty of Computer Science of the Dalhousie University, Halifax, Canada,the Department of Computer Science of the American University, Washington DC, USA, theDepartment of Computer Science of the Virginia Commonwealth University, Richmond VA,USA and the Laboratory of Artificial Intelligence and Decision Support - INESC TEC andDepartment of Computer Science, Faculty of Sciences of the University of Porto, Portugal.The Workshop was co-located with theEuropean Conference on Machine Learning andPrinciples and Practice of Knowledge Discovery in Databases(ECML/PKDD) 2018 andwas held on the 10th of September 2018 in the Croke Park Conference Centre in Dublin, Ireland.

Publication
Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, Page Range: 1-7, (2018)
Paula Branco
Paula Branco
Assistant Professor

I’m an Assistant Professor at EECS, University of Ottawa. My research interests include Artificial Intelligence, Machine Learning, Imbalanced Domains, Outlier Detection, Anomaly Detection, Fraud Detection and Cybersecurity.