215 citations · 789 across the 20 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
Gopi Sanghani, Ketan Kotecha
Communication through e-mails remains to be highly formalized, conventional and indispensable method for the exchange of information over the Internet. An ever-increasing ratio and…