Rahee Walambe

According to our database, Rahee Walambe authored at least 39 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 Ethics, November, 2024

Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis.

Deepak Kumar Jain, Anil Rahate, Gargi Joshi, Rahee Walambe, Ketan Kotecha

IEEE Trans. Comput. Soc. Syst., August, 2024

Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data.

Aadith Sukumar, Aditya Desai, Peeyush Singhal, Sai Gokhale, Deepak Kumar Jain, Rahee Walambe, Ketan Kotecha

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023

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

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

Brain Informatics, December, 2023

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

Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Mehul Kaliya

Comput. Biol. Medicine, September, 2023

Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks.

Anil Rahate, Shruti Mandaokar, Pulkit Chandel, Rahee Walambe, Sheela Ramanna, Ketan Kotecha

Soft Comput., April, 2023

Employing Multimodal Machine Learning for Stress Detection.

Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj, Ketan Kotecha

CoRR, 2023

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

Rajanikant Ghate, Nayan Kalnad, Rahee Walambe, Ketan Kotecha

CoRR, 2023

Domain Adaptation: Challenges, Methods, Datasets, and Applications.

Peeyush Singhal, Rahee Walambe, Sheela Ramanna, Ketan Kotecha

IEEE Access, 2023

Explainable Misinformation Detection Across Multiple Social Media Platforms.

Gargi Joshi, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Lubna Abdel Kareim Gabralla, Ajith Abraham, Rahee Walambe, Ketan Kotecha

IEEE Access, 2023

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

Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Rajanikant Ghate, Sumiti Saharan, Rahee Walambe

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

How Well Do Self-Supervised Models Transfer to Medical Imaging?

Jonah Anton, Liam Castelli, Mun Fai Chan, Mathilde Outters, Wan Hee Tang, Venus Cheung, Pancham Shukla, Rahee Walambe, Ketan Kotecha

J. Imaging, December, 2022

Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents.

Neelabh Paul, Vaibhav Tasgaonkar, Rahee Walambe, Ketan Kotecha

Robotics, 2022

Spatial and temporal features unified self-supervised representation learning networks.

Rahul Choudhary, Rahee Walambe, Ketan Kotecha

Robotics Auton. Syst., 2022

Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity.

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

Multim. Tools Appl., 2022

Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets.

Ashwamegha Holkar, Rahee Walambe, Ketan Kotecha

Image Vis. Comput., 2022

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions.

Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha

Inf. Fusion, 2022

MultimodalGasData: Multimodal Dataset for Gas Detection and Classification.

Parag Narkhede, Rahee Walambe, Pulkit Chandel, Shruti Mandaokar, Ketan Kotecha

Data, 2022

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

Aboli Marathe, Rahee Walambe, Ketan Kotecha

CoRR, 2022

Explainable Misinformation Detection Across Multiple Social Media Platforms.

Rahee Walambe, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Gargi Joshi, Ketan Kotecha

CoRR, 2022

A comprehensive survey on computational learning methods for analysis of gene expression data in genomics.

Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare

CoRR, 2022

Short Text Classification with Tolerance-Based Soft Computing Method.

Vrushang Patel, Sheela Ramanna, Ketan Kotecha, Rahee Walambe

Algorithms, 2022

RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems.

Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation.

Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha

Sensors, 2021

Incremental learning of LSTM framework for sensor fusion in attitude estimation.

Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha

PeerJ Comput. Sci., 2021

Stance detection with BERT embeddings for credibility analysis of information on social media.

Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu

PeerJ Comput. Sci., 2021

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species.

Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha

PeerJ Comput. Sci., 2021

Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning.

Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, Ketan Kotecha

J. Digit. Imaging, 2021

Development and deployment of a generative model-based framework for text to photorealistic image generation.

Sharad Pande, Srishti Chouhan, Ritesh Sonavane, Rahee Walambe, George Ghinea, Ketan Kotecha

Neurocomputing, 2021

Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media.

Ananya Srivastava, Mohammed Hasan, Bhargav Yagnik, Rahee Walambe, Ketan Kotecha

CoRR, 2021

Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions.

Rahee Walambe, Aboli Marathe, Ketan Kotecha, George Ghinea

Comput. Intell. Neurosci., 2021

Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study.

Jyoti Choudrie, Snehasish Banerjee, Ketan Kotecha, Rahee Walambe, Hema Karende, Juhi Ameta

Comput. Hum. Behav., 2021

A Review on Explainability in Multimodal Deep Neural Nets.

Gargi Joshi, Rahee Walambe, Ketan Kotecha

IEEE Access, 2021

Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild.

Aboli Marathe, Rahee Walambe, Ketan Kotecha

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2018

ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets.

Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe

CoRR, 2018

Sensor Data Cleaning Using Particle Swarm Optimization.

Parag Narkhede, Shripad Deshpande, Rahee Walambe

Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018

2007

Safe and Effective Autonomous Decision Making In Intelligent Robtic Systems.

Rahee Agate-Walambe

PhD thesis, 2007

Safe and effective navigation of autonomous robots in hazardous environments.

Derek W. Seward, Conrad Pace, Rahee Agate

Auton. Robots, 2007