10 citations · 30 across the 6 of their papers we have counts for
9 papers
Structure Mapping for Transferability of Causal Models
Purva Pruthi, Javier González, Xiaoyu Lu +1
Human beings learn causal models and constantly use them to transfer knowledge between similar environments. We use this intuition to design a transfer-learning framework using obj…
Personalized Student Stress Prediction with Deep Multitask Network
Abhinav Shaw, Natcha Simsiri, Iman Deznaby +2
With the growing popularity of wearable devices, the ability to utilize physiological data collected from these devices to predict the wearer's mental state such as mood and stress…
Alzheimer's Disease Brain MRI Classification: Challenges and Insights
Yi Ren Fung, Ziqiang Guan, Ritesh Kumar +2
In recent years, many papers have reported state-of-the-art performance on Alzheimer's Disease classification with MRI scans from the Alzheimer's Disease Neuroimaging Initiative (A…
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan +4
Missing values, irregularly collected samples, and multi-resolution signals commonly occur in multivariate time series data, making predictive tasks difficult. These challenges are…
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks
Ziqiang Guan, Ritesh Kumar, Yi Ren Fung +2
A plethora of deep learning models have been developed for the task of Alzheimer's disease classification from brain MRI scans. Many of these models report high performance, achiev…
Pedestrian Detection in Thermal Images using Saliency Maps
Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya +3
Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime. To solve this problem, most state-of-the-art…