215 citations · 645 across the 15 of their papers we have counts for
4 papers · 1 filter
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems
Aboli Marathe, Pushkar Jain, Rahee Walambe +1
Modern applications such as self-driving cars and drones rely heavily upon robust object detection techniques. However, weather corruptions can hinder the object detectability and…
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles
Aboli Marathe, Rahee Walambe, Ketan Kotecha
Several popular computer vision (CV) datasets, specifically employed for Object Detection (OD) in autonomous driving tasks exhibit biases due to a range of factors including weathe…
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi, Ananya Srivastava, Bhargav Yagnik +6
In this work, the integration of two machine learning approaches, namely domain adaptation and explainable AI, is proposed to address these two issues of generalized detection and…
A comprehensive survey on computational learning methods for analysis of gene expression data
Nikita Bhandari, Rahee Walambe, Ketan Kotecha +1
Computational analysis methods including machine learning have a significant impact in the fields of genomics and medicine. High-throughput gene expression analysis methods such as…