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Dr Vinti Agarwal

vidwan id: 228161
Female

Assistant Professor, Department of Computer Science and Information Systems
Birla Institute of Technology and Science

Expertise

  • Computer Science Interdisciplinary SCI

Publications

Total Articles 16
Books 0
Proceedings 0

Publications

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Scopus

Citations 186
h-index 5

CrossRef

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Citations 172
h-index 6
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Professional Recognition

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Bio

Graph mining, machine learning, deep learning, semi-supervised learning

Personal Details

  • Female
  • Assistant Professor , Birla Institute of Technology and Science
  • Birla Institute of Technology and Science, Pilani, Vidya Vihar
Post Doctorate
Other Institute 2019
Assistant Professor Mar 2020 – Present
Birla Institute of Technology and Science | Department of Computer Science and Information Systems

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Organisations (1053+)

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Co-Authors (5)

Perinkulam Ravi

Dr Perinkulam Ravi Deepa

Birla Institute of Technology and Science

K K

Dr K K Bhardwaj

Jawaharlal Nehru University

Sankaranarayanan

Dr Sankaranarayanan Murugesan

Birla Institute of Technology and Science

Neminath

Prof Neminath Hubballi

Indian Institute of Technology Indore

Srinivasa

Dr Srinivasa K G

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

Scholarly Work

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Scholarly Publications

Identifying Anomalous HTTP Traffic with Association Rule Mining

Open Access
Conference Paper
Authors: Agarwal V.;Hubballi N.;Chitrakar A.S.;Franke K.

PACE: Platform for Android Malware Classification and Performance Evaluation

Open Access
Conference Paper
Authors: Kumar A.;Agarwal V.;Shandilya S.K.;Shalaginov A.;Upadhyay S.;Yadav B.

Recommending diverse friends in signed social networks based on adaptive soft consensus paradigm using variable length genetic algorithm

Open Access
Article

Making India open-defecation-free: Lessons from the Swachh Bharat mission - Gramin process evaluation

Open Access
Book Chapter
Authors: Bhanot A.;Agarwal V.;Awasthi A.;Sharma A.

Predicting the dynamics of social circles in ego networks using pattern analysis and GA K-means clustering

Open Access
Review

A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity

Open Access
Article

Predicting friends and foes in signed networks using inductive inference and social balance theory

Open Access
Conference Paper
Authors: Patidar A.;Agarwal V.;Bharadwaj K.

Trust-enhanced recommendation of friends in web based social networks using genetic algorithms to learn user preferences

Open Access
Conference Paper