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Dr Kakoli Bora

vidwan id: 571476
Female

Associate Professor, Artificial Intelligence and Machine Learning
B N M Institute of Technology, Bangalore

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 9
Books 0
Proceedings 0

Publications

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Scopus

Citations 10
h-index 2

CrossRef

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Citations 56
h-index 4
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Bio

Passionate Machine Learning professional and data-driven analyst with the ability to apply ML and Deep Learning techniques and leverage algorithms to solve real-world problems.

Personal Details

  • Female
  • Associate Professor , B N M Institute of Technology, Bangalore
  • Department of AIML
PhD
Other Institute 2021
MTECH
Tezpur University 2003
BE
Jorhat Engineering College 2001
Associate Professor Aug 2024 – Present
B N M Institute of Technology, Bangalore | Artificial Intelligence and Machine Learning

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Organisations (182+)

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Co-Authors (5)

Archana

Dr Archana Mathur

NITTE Institute of Technology, Bangalore

Kakoli

Prof Kakoli Bora

PES UNIVERSITY, BANGLORE

Snehanshu

Dr Snehanshu Saha

Birla Institute of Technology and Science

Surbhi

Dr Surbhi Agrawal

R V Institute of Technology and Management

Scholarly Work

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Scholarly Publications

Enhancing Data Privacy through a secure data hiding approach integrated with lossless compression

Open Access
conference proceedings
Authors: Manjula M, Kakoli Bora, Shaila SG, Skanda N Raj, Thilak R and Akansha Kanchireddy

Quantifying the Classification of Exoplanets: in Search for the Right Habitability Metric

Open Access
article
Authors: Margarita Safonova, Archana Mathur, Suryoday Basak, Kakoli Bora, Surbhi Agrawal

L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining

Open Access
book chapter
Authors: Rahul Aedula, Yashasvi Madhukumar, Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal

CEESA Meets Machine Learning: From Earth Similarity to Habitability Classification of Exoplanets

Open Access
article
Authors: Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal

A Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI)

Open Access
Conference Paper
Authors: Agrawal S.;Basak S.;Bora K.;Murthy J.

A New Activation Function for Artificial Neural Net Based Habitability Classification

Open Access
Conference Paper
Authors: Saha S.;Mathur A.;Bora K.;Basak S.;Agrawal S.

Theoretical Validation of Potential Habitability via Analytical and Boosted Tree Methods: An Optimistic Study on Recently Discovered Exoplanets

Open Access
article
Authors: Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Poulami Sarkar, Jayant Murthy

Machine Learning Approaches for Supernovae Classification

Open Access
book chapter
Authors: Surbhi Agrawal, Kakoli Bora and Swati Routh