Safe and effective navigation of autonomous robots in hazardous environments. - Derek W. Seward; Conrad Pace; Rahee Agate (Auton. Robots, 2007)

Safe and Effective Autonomous Decision Making In Intelligent Robtic Systems. - Rahee Agate-Walambe (2007)

Sensor Data Cleaning Using Particle Swarm Optimization. - Parag Narkhede; Shripad Deshpande; Rahee Walambe (IBICA, 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)

Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild. - Aboli Marathe; Rahee Walambe; Ketan Kotecha (ICCVW, 2021)

A Review on Explainability in Multimodal Deep Neural Nets. - Gargi Joshi; Rahee Walambe; Ketan Kotecha (IEEE Access, 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)

Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions. - Rahee Walambe; Aboli Marathe; Ketan Kotecha; George Ghinea (Comput. Intell. Neurosci., 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)

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)

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)

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)

Stance detection with BERT embeddings for credibility analysis of information on social media. - Hema Karande; Rahee Walambe; Victor Benjamin; Ketan Kotecha; T. S. Raghu 001 (PeerJ Comput. Sci., 2021)

Incremental learning of LSTM framework for sensor fusion in attitude estimation. - Parag Narkhede; Rahee Walambe; Shashi Poddar; Ketan Kotecha (PeerJ Comput. Sci., 2021)

Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. - Parag Narkhede; Shashi Poddar; Rahee Walambe; George Ghinea; Ketan Kotecha (Sensors, 2021)

RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. - Aboli Marathe; Pushkar Jain; Rahee Walambe; Ketan Kotecha (CVPR Workshops, 2022)

Short Text Classification with Tolerance-Based Soft Computing Method. - Vrushang Patel; Sheela Ramanna; Ketan Kotecha; Rahee Walambe (Algorithms, 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)

Explainable Misinformation Detection Across Multiple Social Media Platforms. - Rahee Walambe; Ananya Srivastava; Bhargav Yagnik; Mohammed Hasan; Zainuddin Saiyed; Gargi Joshi; Ketan Kotecha (CoRR, 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)

MultimodalGasData: Multimodal Dataset for Gas Detection and Classification. - Parag Narkhede; Rahee Walambe; Pulkit Chandel; Shruti Mandaokar; Ketan Kotecha (Data, 2022)

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. - Anil Rahate; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Inf. Fusion, 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)

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)

Spatial and temporal features unified self-supervised representation learning networks. - Rahul Choudhary; Rahee Walambe; Ketan Kotecha (Robotics Auton. Syst., 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)

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, 2022)

Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning. - Rajanikant Ghate; Sumiti Saharan; Rahee Walambe (HEALTHINF, 2023)

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. - Aboli Marathe; Deva Ramanan; Rahee Walambe; Ketan Kotecha (CVPR Workshops, 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)

Domain Adaptation: Challenges, Methods, Datasets, and Applications. - Peeyush Singhal; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (IEEE Access, 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)

Employing Multimodal Machine Learning for Stress Detection. - Rahee Walambe; Pranav Nayak; Ashmit Bhardwaj; Ketan Kotecha (CoRR, 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., 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, 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; et al. (Brain Informatics, 2023)

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 001; Rahee Walambe; Ketan Kotecha (FG, 2024)

Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis. - Deepak Kumar Jain 001; Anil Rahate; Gargi Joshi; Rahee Walambe; Ketan Kotecha (IEEE Trans. Comput. Soc. Syst., 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, 2024)

Advances and applications in inverse reinforcement learning: a comprehensive review. - Saurabh Deshpande; Rahee Walambe; Ketan Kotecha; Ganeshsree Selvachandran; Ajith Abraham (Neural Comput. Appl., 2025)