Vani Hiremani
VIDWAN ID: 489774

Dr Vani Hiremani

Female Doctor of Philosophy
Assistant Professor | Department of Computer Science and Engineering
SYMBIOSIS Institute of Technology, Pune
Maharashtra
Expertise: Computer Science Artificial Intelligence
27 Publications
0 Projects
24 Scopus Citations
52 CrossRef
3 Years 2 Months Total Experience
Publications
27 Total
Articles
11
Chapters
7
Proceedings
9
Activity

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Scopus Scopus
24 Citations
3 h-index
CrossRef CrossRef
52 Citations
5 h-index
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Personal Details

Doctor of Philosophy
2023
N/A
Assistant Professor
Feb 2024 – Present
SYMBIOSIS Institute of Technology, Pune | Department of Computer Science and Engineering
Assistant Professor
Jul 2023 – —
Symbiosis International (Deemed University), Pune | Department of Engineering
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Innovative Fusion: Attention-Augmented Support Vector Machines for Superior Text Classification for Social Marketing

Book Chapter
Year: 2024. Pages: 283-303 .
Authors: Raghavendra M. Devadas; Vani Hiremani; J. Praveen Gujjar; N. Shobha Rani; K. R. Bhavya

Quantitative Analysis of Machine and Deep Learning Models in Dysrhythmia Classification

Conference Paper
Year: 2023. Pages: 1-7 .
Authors: Hiremani, V.; Kumar, G.; Chundurwar, A.; Dharmik, O.; Patel, J.

Grading of Academic Institutes using MCDM VIKOR Method Under Fuzzy Treatment

Conference Paper
Year: 2023. Pages: 1-4 .
Authors: Devadas, R.M.; Sapna, R.; Sridevi, S.; Hiremani, V.; Sudha, V.

TensorFlow vs Theano: Issues and Challenges for Natural Language Processing

Conference Paper
Year: 2024. Pages: 1521-1523 .
Authors: Dhasmana, G.; Praveen Gujjar, J.; Guru Prasad, M.S.; Devadas, R.M.; Hiremani, V.; Divya Shree, N.

Stochastic Calculus-Guided Reinforcement Learning: A Probabilistic Framework for Optimal Decision-Making

Other
Year: 2024.
Authors: Devadas, R.M.; Hiremani, V.

Metagenomic Face: Applying Machine Learning to Facial Microbiome Data for Pattern Recognition and Disease Classification

Conference Paper
Year: 2024. Pages: 1-4 .
Authors: Guru Prasad, M.S.; Devadas, R.M.; Hiremani, V.; Jahan, A.; Praveen Gujjar, J.; Dahiya, A.

Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in Regression

Open Access
Journal Article
MethodsX. Year: 2024. Volume: 12 , Pages: 102659 .
Authors: Devadas, Raghavendra M.; Hiremani, Vani

Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for Improved Uncertainty Estimation in Regression

Other
Year: 2024.
Authors: Devadas, R.M.; Hiremani, V.
Showing 1 to 8 of 27 publications