Data Mining
EECS 6412
Fall 2018
York University

Paper Presentation Schedule

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DatePresenter(s)Title of the paperSlides
November 12Hoorieh Marefat and Sara Akhavan xStream: Outlier Dete`x'ion in Feature-Evolving Data StreamsPDF
November 14Hossein Pourmodheji Exploring Strategies for Training Deep Neural NetworksPDF
November 14Pedro Casas and Daniel Parreira AutoencodersPDF
November 19Jason Yu and Rajshree Daulatabad Tutorial on Variational AutoencodersPDF
November 19Yoon Tae Kim Anomaly Detection with Robust Deep AutoencodersPDF
November 21Melissa Kremer and Pierre Duez Scaling up classification rule induction through parallel processingPDF
November 21Faizaan and Andy JungImageNet Classification with Deep Convolutional Neural NetworksPDF
November 26Kang Zhao and Yar Rouf Deep Residual Learning for Image RecognitionPDF
November 26Sadia Chowdhury and Md Tahmid Rahman Laskar Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks,PDF
November 28Saim Mehmood and Ahmadreza Jeddi node2vec: Scalable Feature Learning for NetworksPPT
November 28Ali Jalalifar and Shadi Sadeghpour User Profiling through Deep Multimodal FusionPDF
December 3Marjan Delpisheh and Nahid Alimohammadi Deep Distributed Representations of Sentences and DocumentsPDF
December 3Bo Wang SMOTE: Synthetic Minority Over-sampling TEchnique