A Review on Explainability in Multimodal Deep Neural Nets G Joshi, R Walambe, K Kotecha IEEE Access (https://ieeexplore.ieee.org/document/9391727), 2021 | 204 | 2021 |
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions A Rahate, R Walambe, S Ramanna, K Kotecha Information Fusion, 2022 | 166 | 2022 |
Disturbance-observer-based sensorless control of PMSM using integral state feedback controller A Apte, VA Joshi, H Mehta, R Walambe IEEE Transactions on Power Electronics 35 (6), 6082-6090, 2019 | 144 | 2019 |
Machine Learning Techniques and older adults processing of online information and misinformation: A Covid 19 Study J Choudrie, S Banerjee, K Kotecha, R Walambe, H Karande, J Ameta Computers in Human Behaviours, https://doi.org/10.1016/j.chb.2021.10671, 2021 | 138 | 2021 |
Domain Adaptation: Challenges, Methods, Datasets, and Applications P Singhal, S Ramanna, R Walambe, K Kotecha IEEE ACCESS, https://ieeexplore.ieee.org/document/100, 2023 | 105 | 2023 |
Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion P Narkhede, R Walambe, M Shruti, P Chandel, K Kotecha, G Ghenia MDPI Applied System Innovation 4 (1), 2021 | 82 | 2021 |
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation P Narkhede, S Poddar, R Walambe, G Ghenia, K Kotecha MDPI Sensors 21 (6), https://www.mdpi.com/1424-8220/21/6/1937, 2021 | 70 | 2021 |
Optimal trajectory generation for car-type mobile robot using spline interpolation R Walambe, N Agarwal, S Kale, V Joshi IFAC-PapersOnLine 49 (1), 601-606, 2016 | 65 | 2016 |
Employing Multimodal Machine Learning for Stress Detection R Walambe, A Bharadwaj, P Nayak, K Kotecha https://arxiv.org/abs/2306.09385, 2021 | 60 | 2021 |
Multi-Scale Object Detection from Drone Imagery using Ensemble Transfer Learning R Walambe, A Marathe, K Kotecha MDPI Drones, 2021 | 57 | 2021 |
Speed control of PMSM using disturbance observer AA Apte, VA Joshi, RA Walambe, AA Godbole IFAC-PapersOnLine 49 (1), 308-313, 2016 | 51 | 2016 |
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media H Karande, R Walambe, V Benjamin, K Kotecha, R Santanam PeerJ Computer Science, https://peerj.com/articles/cs-467/, 2021 | 49 | 2021 |
A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine M Hiwale, R Walambe, V Potdar, K Kotecha Healthcare Analytics 3, 100192, 2023 | 45 | 2023 |
Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions R Walambe, A Marathe, K Kotecha, G Ghinea Computational Intelligence and Neuroscience (SI on Compression of Deep …, 2021 | 45 | 2021 |
Safe and effective navigation of autonomous robots in hazardous environments D Seward, C Pace, R Agate Autonomous Robots 22, 223-242, 2007 | 44 | 2007 |
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models A Marathe, D Ramanan, R Walambe, K Kotecha CVPR 2023, 2023 | 40 | 2023 |
Assistive Framework for Automatic detection of all the Zones in Retinopathy of Prematurity using Deep Learning R Agrawal, S Dr. Kulkarni, R Walambe, K Kotecha Journal of Digital Imaging (https://rdcu.be/cn1uq), 2021 | 37 | 2021 |
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species NI Bhandari, S Khare, R Walambe, K Kotecha PeerJ Computer Science (https://peerj.com/articles/cs-365/), 2021 | 34 | 2021 |
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions P Bhatt, A Sethi, V Tasgaonkar, J Shroff, I Pendharkar, A Desai, P Sinha, ... Brain informatics 10 (1), 18, 2023 | 33 | 2023 |
Few-Shot Learning for Face Recognition in the Presence of Image Discrepancies for Limited Multi-class Datasets A Holkar, R Walambe, K Kotecha Image and Vision Computing, https://doi.org/10.1016/j.imavis.2022.10, 2022 | 33 | 2022 |