5 citations · 11 across the 4 of their papers we have counts for
4 papers
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data
Zikang Leng, Yash Jain, Hyeokhyen Kwon +1
Previous work has demonstrated that virtual accelerometry data, extracted from videos using cross-modality transfer approaches like IMUTube, is beneficial for training complex and…
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain, Chi Ian Tang, Chulhong Min +2
A major bottleneck in training robust Human-Activity Recognition models (HAR) is the need for large-scale labeled sensor datasets. Because labeling large amounts of sensor data is…
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy
Chitrank Gupta, Yash Jain, Abir De +1
In recent years, inductive graph embedding models, \emph{viz.}, graph neural networks (GNNs) have become increasingly accurate at link prediction (LP) in online social networks. Th…
A novel alternative to analyzing multiple choice questions via discrimination index
P. K. Joshi, Y. Jain, R. Khunyakari +1
The value of multiple choice questions (MCQs) in seeking large-scale, high-stakes, educational assessment is widely established. Students' responses to test items with a multiple-c…