3 citations · 4 across the 5 of their papers we have counts for
5 papers
Dynamic User Segmentation and Usage Profiling
Animesh Mitra, Saswata Sahoo, Soumyabrata Dey
Usage data of a group of users distributed across a number of categories, such as songs, movies, webpages, links, regular household products, mobile apps, games, etc. can be ultra-…
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
Souradip Chakraborty, Ekansh Verma, Saswata Sahoo +1
Representation Learning in a heterogeneous space with mixed variables of numerical and categorical types has interesting challenges due to its complex feature manifold. Moreover, f…
Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework
Saswata Sahoo, Souradip Chakraborty
Representation of data on mixed variables, numerical and categorical types to get suitable feature map is a challenging task as important information lies in a complex non-linear m…
Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
Saswata Sahoo, Souradip Chakraborty
Feature learning in the presence of a mixed type of variables, numerical and categorical types, is an important issue for related modeling problems. For simple neighborhood queries…
Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images
Pranay Dugar, Anirban Chatterjee, Rajesh Shreedhar Bhat +1
Extracting texts of various size and shape from images containing multiple objects is an important problem in many contexts, especially, in connection to e-commerce, augmented real…