Construction of Ensembles by Exploiting the Richness of Feature Variables in High-Dimensional Data with Application in Protein Homology May 23, 2017 - 7:13pm Full Title: Construction of Ensembles by Exploiting the Richness of Feature Variables in High-Dimensional Data with Application in Protein Homology Speaker: Dr. Jabed Tomal Assistant Professor Department of Computer and Mathematical Sciences

Title: Energy Expenditure Prediction from Raw Accelerometer  Data: A Comparison between Linear and Nonlinear Models Speaker: Dr. Munni Begum               Professor of Mathematical Sciences               Ball State University, USA Abstract: This study had three purposes, all related to evaluating energy expenditure (EE) prediction

Title: Spectrum sharing in cellular networks: Optimisation and post-optimisation techniques   Speaker: Md Asaduzzaman, PhD               Associate Professor               ISRT, University of Dhaka    Abstract:  Dynamic spectrum sharing aims to provide secondary access to under-utilized spectrum in cellular networks. The main aim of the

Big Data: Opportunities to Explore  Presenter: DataSoft Systems Bangladesh Limited

Title: Conditional dependence in joint modelling of longitudinal non-Gaussian outcomes   Speaker: Mili Roy, MSc               Research Assistant               Werklund School of Education               University of Calgary, Canada      Abstract: The study is motivated by the limitations of conventional

Title: Survival Ensembles and Representative Trees for Cancer Prognostication   Speaker: Mousumi Banerjee, PhD               Research Professor of Biostatistics               School of Public Health & Comprehensive Cancer Center,               Director of Biostatistics               Center

Title: Business Intelligence and Data Science Speaker: Business Intelligence team, Grameenphone Summary: The main focus of the seminar will be- to shed some light on the current business trends, and the challenges the industry faces in this 21st century, and also to delineate the prospects of Business Intelligence and Data Science in Bangladesh. The sessions will be