Rahee Walambe - Symbiosis Institute of Technology Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International University

基本信息

Career Trajectory

Bio

Rahee Walambe received the M.Phil. and Ph.D. degrees from Lancaster University, U.K., in 2008. From 2008 to 2017, she was a research consultant with various organizations in the control and robotics domain. She is currently associated with the Symbiosis Centre for Applied Artificial Intelligence, SIU. Her research interests include applied deep learning and AI in robotics and healthcare. She is a recipient of multiple research grants.

Research Interests

Papers共 70 篇Author StatisticsCo-AuthorSimilar Experts

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HVDROPDB datasets for research in retinopathy of prematurity

Ranjana Agrawal,Rahee Walambe,Ketan Kotecha, Anita Gaikwad,Madan Deshpande,Sucheta Kulkarni

DATA IN BRIEF (2024): 109839-109839

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The Forward-Forward Algorithm: Analysis and Discussion

Sudhanshu Thakur, Reha Dhawan, Parth Bhargava, Kaustubh Tripathi,Rahee Walambe,Ketan Kotecha

Communications in Computer and Information Science Advanced Computingpp.397-406, (2024)

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POMDP-based probabilistic decision making for path planning in wheeled mobile robot

Shripad V. Deshpande,Harikrishnan R,Rahee Walambe

Cognitive Robotics (2024): 104-115

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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

Data-Intensive Research Data Science and Big Data Analyticspp.261-272, (2024)

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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,Rahee Walambe

2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)pp.1-6, (2024)

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A-XAI: adversarial machine learning for trustable explainability

Nishita Agrawal, Isha Pendharkar,Jugal Shroff, Jatin Raghuvanshi, Akashdip Neogi,Shruti Patil,Rahee Walambe,Ketan Kotecha

AI and Ethicspp.1-32, (2024)

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Exploring the Usability of Quantum Machine Learning for EEG Signal Classification

Devansh Singh, Yashasvi Kanathey, Yoginii Waykole, Rohit Kumar Mishra,Rahee Walambe, Khan Hassan Aqeel,Ketan Kotecha

Communications in Computer and Information Science Advanced Computingpp.427-438, (2024)

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Generative Adversarial Networks for Mitigating Bias in Disinformation

Rahee Walambe, Prince Chaudhary, Avani Bajaj, Ajayver Singh Rathore, Vidhi Jain,Ketan Kotecha

2023 IEEE International Conference on Contemporary Computing and Communications (InC4) (2023): 1-6

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Sensor Fusion Methodologies for Landmine Detection

Parag Narkhede,Rahee Walambe,Ketan Kotecha

Proceedings of International Conference on Data Science and ApplicationsLecture Notes in Networks and Systemspp.891-907, (2023)

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In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles

Aboli Marathe,Rahee Walambe,Ketan Kotecha

arXiv (Cornell University) (2023)

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