Rahee Walambe

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Autonomous Vehicles

Gene Expression

Machine Learning

Top Venues

PeerJ Comput. Sci.

Publications

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) (2024)
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)
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) (2023)
Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CVPR Workshops (2023)
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 (2023)
Peeyush Singhal, Rahee Walambe, Sheela Ramanna, Ketan Kotecha
Domain Adaptation: Challenges, Methods, Datasets, and Applications. IEEE Access 11 (2023)
Rajanikant Ghate, Sumiti Saharan, Rahee Walambe
Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning. HEALTHINF (2023)
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 (2023)
Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CoRR (2023)
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) (2023)
Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj, Ketan Kotecha
Employing Multimodal Machine Learning for Stress Detection. CoRR (2023)
Rajanikant Ghate, Nayan Kalnad, Rahee Walambe, Ketan Kotecha
Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy. CoRR (2023)
Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. CoRR (2022)
Parag Narkhede, Rahee Walambe, Pulkit Chandel, Shruti Mandaokar, Ketan Kotecha
MultimodalGasData: Multimodal Dataset for Gas Detection and Classification. Data 7 (8) (2022)
Rahul Choudhary, Rahee Walambe, Ketan Kotecha
Spatial and temporal features unified self-supervised representation learning networks. Robotics Auton. Syst. 157 (2022)
Aboli Marathe, Rahee Walambe, Ketan Kotecha, Deepak Kumar Jain
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles. CoRR (2022)
Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Inf. Fusion 81 (2022)
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) (2022)
Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. CVPR Workshops (2022)
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 (2022)
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) (2022)
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) (2022)
Vrushang Patel, Sheela Ramanna, Ketan Kotecha, Rahee Walambe
Short Text Classification with Tolerance-Based Soft Computing Method. Algorithms 15 (8) (2022)
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 (2022)
Rahee Walambe, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Gargi Joshi, Ketan Kotecha
Explainable Misinformation Detection Across Multiple Social Media Platforms. CoRR (2022)
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 (2021)
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 (2021)
Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha
Incremental learning of LSTM framework for sensor fusion in attitude estimation. PeerJ Comput. Sci. 7 (2021)
Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. Sensors 21 (6) (2021)
Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. CoRR (2021)
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) (2021)
Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions. CoRR (2021)
Gargi Joshi, Rahee Walambe, Ketan Kotecha
A Review on Explainability in Multimodal Deep Neural Nets. CoRR (2021)
Rahee Walambe, Aboli Marathe, Ketan Kotecha, George Ghinea
Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions. Comput. Intell. Neurosci. 2021 (2021)
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 (2021)
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 (2021)
Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. CoRR (2021)
Gargi Joshi, Rahee Walambe, Ketan Kotecha
A Review on Explainability in Multimodal Deep Neural Nets. IEEE Access 9 (2021)
Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha
Incremental learning of LSTM framework for sensor fusion in attitude estimation. CoRR (2021)
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)
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 (2021)
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 (2021)
Parag Narkhede, Shripad Deshpande, Rahee Walambe
Sensor Data Cleaning Using Particle Swarm Optimization. IBICA (2018)
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 (2018)