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Prof Sudeepa Roy Dey

vidwan id: 358871
Female

Associate Professor, Department of Computer Science Engineering
PES UNIVERSITY, BANGLORE

Expertise

  • Computer Science Information Systems

Publications

Total Articles 28
Books 0
Proceedings 0

Publications

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Scopus

Citations 298
h-index 4

CrossRef

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Citations 300
h-index 3
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Bio

Machine Learning, Data mining, Artificial Intelligence , Graph Analytics

Personal Details

  • Female
  • Associate Professor , PES UNIVERSITY, BANGLORE
Ph.D
Other Institute 2022
Associate Professor Mar 2023 – Present
PES UNIVERSITY, BANGLORE | Department of Computer Science Engineering

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Co-Authors (12)

Archana

Dr Archana Mathur

NITTE Institute of Technology, Bangalore

B. S.

Prof B. S. Daya Sagar

Indian Statistical Institute, Kolkata

Madhu

Dr Madhu Chauhan

GGS Indraprashta University

Nithin

Dr Nithin Nagaraj

National Institute of Advanced Studies

Saibal

Prof Saibal Kar

Centre for Studies in Social Sciences (CSSS), Kolkata

sampa

Dr sampa sahoo

CV Raman College of Engineering (CVRCE), Bhubaneswar

Snehanshu

Dr Snehanshu Saha

Birla Institute of Technology and Science

Srinivasa

Dr Srinivasa K G

Dr Shyama Prasad Mukherjee International Institute of Information Technology, Naya Raipur

Sriparna

Dr Sriparna Saha

Indian Institute of Technology Patna

Swati Pratap

Prof Swati Pratap Jagdale

PES UNIVERSITY, BANGLORE

Scholarly Work

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An Author strain independent scoring system to measure scientific Independence

Sudeepa Roy Dey
Engineering and Technology Patent No. : G06Q 10/00(2012.01) Filed : 09-04-2022
Published : N/A Granted

Scholarly Publications

Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach

Open Access
Conference Paper
Authors: Yarlapati A.R.;Roy Dey S.;Saha S.

A survey paper of inspired resource manangement algorithms in cloud enviroment

Open Access
Article
Authors: Dey S.R.;Goswami B.;Prasanna Sai M.S.;Sampatrao G.S.

Quantum Information Technology

Open Access
article
Authors: Sudeepa Roy Dey, Madhu Chauhan

Predicting the direction of stock market prices using random forest. arXiv 2016

Open Access
article
Authors: Khaidem, L and Saha, S and Dey, SR