Dipesh Tamboli

About Dipesh Tamboli

Dipesh Tamboli, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Indian Institute of Technology Bombay, specializes in the field of Machine Learning, Deep Learning, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework with Mortality Classifier and Transformer

Sepsis Treatment: Reinforced Sequential Decision-Making for Saving Lives

Domain Adaptive Few-Shot Open-Set Learning

Thermally Treated to Perfection: Enhancing Wood Color and Properties with Surface Thermal Treatment

Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision

Prediction of the color change of surface thermally treated wood by artificial neural network

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Kuiper: Moderated Asynchronous Federated Learning on Heterogeneous Mobile Devices with Non-IID Data

Dipesh Tamboli Information

University

Position

Student at

Citations(all)

96

Citations(since 2020)

96

Cited By

5

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Indian Institute of Technology Bombay

Google Scholar

View Google Scholar Profile

Dipesh Tamboli Skills & Research Interests

Machine Learning

Deep Learning

Computer Vision

Top articles of Dipesh Tamboli

Title

Journal

Author(s)

Publication Date

Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework with Mortality Classifier and Transformer

IEEE Journal of Biomedical and Health Informatics

Dipesh Tamboli

Jiayu Chen

Kiran Pranesh Jotheeswaran

Denny Yu

Vaneet Aggarwal

2024/3/14

Sepsis Treatment: Reinforced Sequential Decision-Making for Saving Lives

Dipesh Tamboli

Jiayu Chen

Kiran Pranesh Jotheeswaran

Denny Yu

Vaneet Aggarwal

2024

Domain Adaptive Few-Shot Open-Set Learning

Debabrata Pal

Deeptej More

Sai Bhargav

Dipesh Tamboli

Vaneet Aggarwal

...

2023

Thermally Treated to Perfection: Enhancing Wood Color and Properties with Surface Thermal Treatment

Jue Mo

Dipesh Tamboli

Eva Haviarova

2023

Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision

arXiv preprint arXiv:2311.02333

Aditya Malusare

Harish Kothandaraman

Dipesh Tamboli

Nadia A Lanman

Vaneet Aggarwal

2023/11/4

Prediction of the color change of surface thermally treated wood by artificial neural network

European Journal of Wood and Wood Products

Jue Mo

Dipesh Tamboli

Eva Haviarova

2023/10

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Jiayu Chen

Dipesh Tamboli

Tian Lan

Vaneet Aggarwal

2023/7/3

Kuiper: Moderated Asynchronous Federated Learning on Heterogeneous Mobile Devices with Non-IID Data

Dipesh Tamboli

Pranjal Jain

Atul Sharma

Biplab Banerjee

Saurabh Bagchi

...

2022/9/29

RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework

Advait Kumar

Dipesh Tamboli

Shivam Pande

Biplab Banerjee

2022/7/17

Explaining decision of model from its prediction

arXiv preprint arXiv:2106.08366

Dipesh Tamboli

2021/6/15

Saliency-driven class impressions for feature visualization of deep neural networks

Dipesh Tamboli

Sravanti Addepalli

R Venkatesh Babu

Biplab Banerjee

2020/10/25

Fast design of plasmonic metasurfaces enabled by deep learning

Journal of Physics D: Applied Physics

Abhishek Mall

Abhijeet Patil

Dipesh Tamboli

Amit Sethi

Anshuman Kumar

2020/10/1

Image-based phenotyping of diverse rice (Oryza sativa L.) genotypes

arXiv preprint arXiv:2004.02498

Mukesh Kumar Vishal

Dipesh Tamboli

Abhijeet Patil

Rohit Saluja

Biplab Banerjee

...

2020/4/6

Multi-source open-set deep adversarial domain adaptation

Sayan Rakshit

Dipesh Tamboli

Pragati Shuddhodhan Meshram

Biplab Banerjee

Gemma Roig

...

2020

See List of Professors in Dipesh Tamboli University(Indian Institute of Technology Bombay)

Co-Authors

H-index: 57
Saurabh Bagchi

Saurabh Bagchi

Purdue University

H-index: 50
Subhasis Chaudhuri

Subhasis Chaudhuri

Indian Institute of Technology Bombay

H-index: 44
Vaneet Aggarwal

Vaneet Aggarwal

Purdue University

H-index: 27
Amit Sethi

Amit Sethi

Indian Institute of Technology Bombay

H-index: 23
Gemma Roig

Gemma Roig

Goethe-Universität Frankfurt am Main

H-index: 20
Nadia Atallah Lanman

Nadia Atallah Lanman

Purdue University

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