215 citations · 645 across the 15 of their papers we have counts for
17 papers
Adversarial Debiasing of Machine Learning Models for Enhanced Network Security against DDoS Attacks
Aadith Sukumar, Isha Singh, Devershika Mohane +4
Distributed Denial of Service attacks are a growing threat to network infrastructure, and new techniques, including the use of generative AI, make them harder to detect. Traditiona…
Employing Multimodal Machine Learning for Stress Detection
Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj +1
In the current age, human lifestyle has become more knowledge oriented leading to generation of sedentary employment. This has given rise to a number of health and mental disorders…
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models
Aboli Marathe, Deva Ramanan, Rahee Walambe +1
The open road poses many challenges to autonomous perception, including poor visibility from extreme weather conditions. Models trained on good-weather datasets frequently fail at…
Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy
Rajanikant Ghate, Nayan Kalnad, Rahee Walambe +1
Automated depression screening and diagnosis is a highly relevant problem today. There are a number of limitations of the traditional depression detection methods, namely, high dep…
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…
Incremental learning of LSTM framework for sensor fusion in attitude estimation
Parag Narkhede, Rahee Walambe, Shashi Poddar +1
This paper presents a novel method for attitude estimation of an object in 3D space by incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope, accelerometer,…
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation
Parag Narkhede, Shashi Poddar, Rahee Walambe +2
Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are some…
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
Anil Rahate, Rahee Walambe, Sheela Ramanna +1
Multimodal deep learning systems which employ multiple modalities like text, image, audio, video, etc., are showing better performance in comparison with individual modalities (i.e…
Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion
Parag Narkhede, Rahee Walambe, Shruti Mandaokar +3
With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One suc…
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media
Hema Karande, Rahee Walambe, Victor Benjamin +2
The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and faster reach of the information, people search out and devour news from online social n…
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi, Rahee Walambe, Ketan Kotecha
Artificial Intelligence techniques powered by deep neural nets have achieved much success in several application domains, most significantly and notably in the Computer Vision appl…
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
Nikita Bhandari, Satyajeet Khare, Rahee Walambe +1
Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-…
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media
Ananya Srivastava, Mohammed Hasan, Bhargav Yagnik +2
Social networking platforms provide a conduit to disseminate our ideas, views and thoughts and proliferate information. This has led to the amalgamation of English with natively sp…
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets
Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe
This work introduces a novel activation unit that can be efficiently employed in deep neural nets (DNNs) and performs significantly better than the traditional Rectified Linear Uni…