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ORCIDRahee Walambe
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- affiliation: Symbiosis Institute of Technology, Symbiosis International, Pune, Maharashtra, India
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2020 – today
- 2024
[j25]Nishita Agrawal, Isha Pendharkar, Jugal Shroff, Jatin Raghuvanshi, Akashdip Neogi, Shruti Patil, Rahee Walambe
, Ketan Kotecha:
A-XAI: adversarial machine learning for trustable explainability. AI Ethics 4(4): 1143-1174 (2024)- [j24]Deepak Kumar Jain, Anil Rahate, Gargi Joshi, Rahee Walambe, Ketan Kotecha:
Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 11(4): 4673-4680 (2024) - [c6]Aadith Sukumar, Aditya Desai, Peeyush Singhal, Sai Gokhale, Deepak Kumar Jain, Rahee Walambe, Ketan Kotecha:
Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data. FG 2024: 1-6 - 2023
- [j23]Peeyush Singhal, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Domain Adaptation: Challenges, Methods, Datasets, and Applications. IEEE Access 11: 6973-7020 (2023) - [j22]Gargi Joshi, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Lubna Abdel Kareim Gabralla, Ajith Abraham, Rahee Walambe, Ketan Kotecha:
Explainable Misinformation Detection Across Multiple Social Media Platforms. IEEE Access 11: 23634-23646 (2023) - [j21]Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain:
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023) - [j20]Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Mehul Kaliya:
Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI. Comput. Biol. Medicine 163: 107140 (2023) - [j19]Anil Rahate, Shruti Mandaokar, Pulkit Chandel, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. Soft Comput. 27(7): 4139-4155 (2023) - [c5]Rajanikant Ghate, Sumiti Saharan, Rahee Walambe:
Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning. HEALTHINF 2023: 86-93 - [c4]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CVPR Workshops 2023: 3318-3327 - [i15]Rajanikant Ghate, Nayan Kalnad, Rahee Walambe, Ketan Kotecha:
Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy. CoRR abs/2303.07847 (2023) - [i14]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CoRR abs/2305.07528 (2023) - [i13]Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj, Ketan Kotecha:
Employing Multimodal Machine Learning for Stress Detection. CoRR abs/2306.09385 (2023) - 2022
- [j18]Vrushang Patel, Sheela Ramanna, Ketan Kotecha, Rahee Walambe:
Short Text Classification with Tolerance-Based Soft Computing Method. Algorithms 15(8): 267 (2022) - [j17]Parag Narkhede, Rahee Walambe, Pulkit Chandel, Shruti Mandaokar, Ketan Kotecha:
MultimodalGasData: Multimodal Dataset for Gas Detection and Classification. Data 7(8): 112 (2022) - [j16]Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Inf. Fusion 81: 203-239 (2022) - [j15]Ashwamegha Holkar, Rahee Walambe, Ketan Kotecha:
Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets. Image Vis. Comput. 120: 104420 (2022) - [j14]Jonah Anton, Liam Castelli, Mun Fai Chan, Mathilde Outters, Wan Hee Tang, Venus Cheung, Pancham Shukla, Rahee Walambe, Ketan Kotecha:
How Well Do Self-Supervised Models Transfer to Medical Imaging? J. Imaging 8(12): 320 (2022) - [j13]Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, Madan Deshpande, Ketan Kotecha:
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity. Multim. Tools Appl. 81(8): 11441-11460 (2022) - [j12]Rahul Choudhary, Rahee Walambe, Ketan Kotecha:
Spatial and temporal features unified self-supervised representation learning networks. Robotics Auton. Syst. 157: 104256 (2022) - [j11]Neelabh Paul, Vaibhav Tasgaonkar, Rahee Walambe, Ketan Kotecha:
Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents. Robotics 11(6): 150 (2022) - [c3]Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha:
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. CVPR Workshops 2022: 3029-3038 - [i12]Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare:
A comprehensive survey on computational learning methods for analysis of gene expression data in genomics. CoRR abs/2202.02958 (2022) - [i11]Rahee Walambe, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Gargi Joshi, Ketan Kotecha:
Explainable Misinformation Detection Across Multiple Social Media Platforms. CoRR abs/2203.11724 (2022) - [i10]Aboli Marathe, Rahee Walambe, Ketan Kotecha:
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles. CoRR abs/2204.01062 (2022) - [i9]Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha:
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. CoRR abs/2204.01719 (2022) - 2021
- [j10]Gargi Joshi, Rahee Walambe, Ketan Kotecha:
A Review on Explainability in Multimodal Deep Neural Nets. IEEE Access 9: 59800-59821 (2021) - [j9]Jyoti Choudrie, Snehasish Banerjee, Ketan Kotecha, Rahee Walambe, Hema Karende, Juhi Ameta:
Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study. Comput. Hum. Behav. 119: 106716 (2021) - [j8]Rahee Walambe, Aboli Marathe, Ketan Kotecha, George Ghinea:
Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions. Comput. Intell. Neurosci. 2021: 5278820:1-5278820:12 (2021) - [j7]Sharad Pande, Srishti Chouhan, Ritesh Sonavane, Rahee Walambe, George Ghinea, Ketan Kotecha:
Development and deployment of a generative model-based framework for text to photorealistic image generation. Neurocomputing 463: 1-16 (2021) - [j6]Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, Ketan Kotecha:
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning. J. Digit. Imaging 34(4): 932-947 (2021) - [j5]Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha:
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. PeerJ Comput. Sci. 7: e365 (2021) - [j4]Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu:
Stance detection with BERT embeddings for credibility analysis of information on social media. PeerJ Comput. Sci. 7: e467 (2021) - [j3]Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha:
Incremental learning of LSTM framework for sensor fusion in attitude estimation. PeerJ Comput. Sci. 7: e662 (2021) - [j2]Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha:
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. Sensors 21(6): 1937 (2021) - [c2]Aboli Marathe, Rahee Walambe, Ketan Kotecha:
Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild. ICCVW 2021: 3568-3577 - [i8]Ananya Srivastava, Mohammed Hasan, Bhargav Yagnik, Rahee Walambe, Ketan Kotecha:
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media. CoRR abs/2105.04913 (2021) - [i7]Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha:
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. CoRR abs/2105.07659 (2021) - [i6]Gargi Joshi, Rahee Walambe, Ketan Kotecha:
A Review on Explainability in Multimodal Deep Neural Nets. CoRR abs/2105.07878 (2021) - [i5]Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu:
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media. CoRR abs/2105.10272 (2021) - [i4]Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha:
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. CoRR abs/2107.03970 (2021) - [i3]Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions. CoRR abs/2107.13782 (2021) - [i2]Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha:
Incremental learning of LSTM framework for sensor fusion in attitude estimation. CoRR abs/2108.03173 (2021)
2010 – 2019
- 2018
- [c1]Parag Narkhede, Shripad Deshpande, Rahee Walambe:
Sensor Data Cleaning Using Particle Swarm Optimization. IBICA 2018: 182-191 - [i1]Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe:
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets. CoRR abs/1805.08878 (2018)
2000 – 2009
- 2007
- [b1]Rahee Agate-Walambe:
Safe and Effective Autonomous Decision Making In Intelligent Robtic Systems. Lancaster University, UK, 2007 - [j1]Derek W. Seward, Conrad Pace, Rahee Agate:
Safe and effective navigation of autonomous robots in hazardous environments. Auton. Robots 22(3): 223-242 (2007)
Coauthor Index
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last updated on 2024-12-04 20:14 CET by the dblp team
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