Rahee Walambe

About Rahee Walambe

Rahee Walambe, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Symbiosis International University, specializes in the field of Applied AI, Autonomous Systems, Multimodal AI, XAI, Responsible AI.

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

Exploring the Usability of Quantum Machine Learning for EEG Signal Classification

The Forward-Forward Algorithm: Analysis and Discussion

Deep Learning Framework for Classification and Explanation of Early ROP Stages from HVDROPDB Dataset

A-XAI: adversarial machine learning for trustable explainability

Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy

Guided Cost Learning for Lunar Lander Environment Using Human Demonstrated Expert Trajectories

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

Sensor Fusion Methodologies for Landmine Detection

Rahee Walambe Information

University

Position

Symbiosis Centre for Applied AI (SCAAI) Symbiosis Institute of Technology

Citations(all)

1103

Citations(since 2020)

1005

Cited By

180

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

26

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Rahee Walambe Skills & Research Interests

Applied AI

Autonomous Systems

Multimodal AI

XAI

Responsible AI

Top articles of Rahee Walambe

Title

Journal

Author(s)

Publication Date

Exploring the Usability of Quantum Machine Learning for EEG Signal Classification

Devansh Singh

Yashasvi Kanathey

Yoginii Waykole

Rohit Kumar Mishra

Rahee Walambe

...

2024/3/28

The Forward-Forward Algorithm: Analysis and Discussion

Sudhanshu Thakur

Reha Dhawan

Parth Bhargava

Kaustubh Tripathi

Rahee Walambe

...

2024/3/28

Deep Learning Framework for Classification and Explanation of Early ROP Stages from HVDROPDB Dataset

Ranjana Agrawal

Sucheta Kulkarni

Anita Gaikawad

Col Madan Deshpande

Ketan Kotecha

...

2024/1/27

A-XAI: adversarial machine learning for trustable explainability

AI and Ethics

Nishita Agrawal

Isha Pendharkar

Jugal Shroff

Jatin Raghuvanshi

Akashdip Neogi

...

2024/1/17

Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy

arXiv preprint arXiv:2303.07847

Rajanikant Ghate

Nayan Kalnad

Rahee Walambe

Ketan Kotecha

2023/3/14

Guided Cost Learning for Lunar Lander Environment Using Human Demonstrated Expert Trajectories

Deepak Dharrao

Shilpa Gite

Rahee Walambe

2023/6

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

Priya Bhatt

Amanrose Sethi

Vaibhav Tasgaonkar

Jugal Shroff

Isha Pendharkar

...

2023/12

Sensor Fusion Methodologies for Landmine Detection

Parag Narkhede

Rahee Walambe

Ketan Kotecha

2023/2/17

Integrative gene expression analysis for the diagnosis of Parkinson’s disease using machine learning and explainable AI

Computers in Biology and Medicine

Nikita Bhandari

Rahee Walambe

Ketan Kotecha

Mehul Kaliya

2023/6

Multimodal Mental Workload Classification Using Maus Dataset

Amanrosekaur Sethi

Rahee Walambe

Priyanka Jain

Ketan Kotecha

2023/10/6

Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning.

Rajanikant Ghate

Sumiti Saharan

Rahee Walambe

2023

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Aboli Marathe

Deva Ramanan

Rahee Walambe

Ketan Kotecha

2023

Generative Adversarial Networks for Mitigating Bias in Disinformation

The 24th European Conference on Artificial Intelligence (ECAI)

Adel Abusitta

Esma Aïmeur

Omar Abdel Wahab

2020

Employing Multimodal Machine Learning for Stress Detection (preprint)

Rahee Walambe

Pranav Nayak

Ashmit Bhardwaj

Ketan Kotecha

2023

A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine

Madhuri Hiwale

Rahee Walambe

Vidyasagar Potdar

Ketan Kotecha

2023/5/5

Real-Time Inferencing Using Transfer Learning for a Screening of Depression Detection Using Actigraphy

Rajanikant Ghate

Rahee Walambe

Nayan Kalnad

Ketan Kotecha

2023/8/11

Domain Adaptation: Challenges, Methods, Datasets, and Applications

IEEE ACCESS

Peeyush Singhal

Sheela Ramanna

Rahee Walambe

Ketan Kotecha

2023/1

Explainable misinformation detection across multiple social media platforms

IEEE ACCESS

Rahee Walambe

Ananya Srivastava

Bhargav Yagnik

Mohammed Hasan

Zainuddin Saiyed

...

2023/3/20

Indian Agri-Exports to Select African Countries: A Machine Learning Approach to Gain Insights Towards Sustainable Food Security

Ishita Ghosh

Ria Gohel

Sukalpa Chakrabarti

Rahee Walambe

Ketan Kotecha

2023/6/16

Employing Co-learning to evaluate the Explainability of multimodal sentiment analysis

IEEE Transactions on Computational Social Systems

Deepak Kumar Jain

Anil Rahate

Gargi Joshi

Rahee Walambe

Ketan Kotecha

2022/6/9

See List of Professors in Rahee Walambe University(Symbiosis International University)

Co-Authors

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