activity
20152024
most citedCloud Offloading for Multi-Radio Enabled Mobile Devices

36 citations · 69 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2024

Can Large Language Models Detect Misinformation in Scientific News Reporting?

Yupeng Cao, Aishwarya Muralidharan Nair, Nastaran Jamalipour Soofi +2

Scientific facts are often spun in the popular press with the intent to influence public opinion and action, as was evidenced during the COVID-19 pandemic. Automatic detection of m…

cs.CL2022★ 1 cited

Revisiting Attention Weights as Explanations from an Information Theoretic Perspective

Bingyang Wen, K. P. Subbalakshmi, Fan Yang

Attention mechanisms have recently demonstrated impressive performance on a range of NLP tasks, and attention scores are often used as a proxy for model explainability. However, th…

cs.CL2021★ 2 cited

Learning Models for Suicide Prediction from Social Media Posts

Ning Wang, Fan Luo, Yuvraj Shivtare +4

We propose a deep learning architecture and test three other machine learning models to automatically detect individuals that will attempt suicide within (1) 30 days and (2) six mo…

cs.LG2021★ 7 cited

Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks

Bingyang Wen, Luis Oliveros Colon, K. P. Subbalakshmi +1

Synthetic data generation becomes prevalent as a solution to privacy leakage and data shortage. Generative models are designed to generate a realistic synthetic dataset, which can…

cs.SI2020★ 8 cited

Explainable Rumor Detection using Inter and Intra-feature Attention Networks

Mingxuan Chen, Ning Wang, K. P. Subbalakshmi

With social media becoming ubiquitous, information consumption from this media has also increased. However, one of the serious problems that have emerged with this increase, is the…

cs.CL2020★ 4 cited

Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease

Ning Wang, Mingxuan Chen, K. P. Subbalakshmi

In this work, we propose three explainable deep learning architectures to automatically detect patients with Alzheimer`s disease based on their language abilities. The architecture…

cs.CY2020★ 1 cited

Personalized Early Stage Alzheimer's Disease Detection: A Case Study of President Reagan's Speeches

Ning Wang, Fan Luo, Vishal Peddagangireddy +2

Alzheimer`s disease (AD)-related global healthcare cost is estimated to be $1 trillion by 2050. Currently, there is no cure for this disease; however, clinical studies show that ea…

cs.NI2015★ 36 cited

Cloud Offloading for Multi-Radio Enabled Mobile Devices

S. Eman Mahmoodi, K. P. Subbalakshmi, Vidya Sagar

The advent of 5G networking technologies has increased the expectations from mobile devices, in that, more sophisticated, computationally intense applications are expected to be de…

cs.SI2015★ 10 cited

Identification of Source of Rumors in Social Networks with Incomplete Information

Alireza Louni, Anand Santhanakrishnan, K. P. Subbalakshmi

Rumor source identification in large social networks has received significant attention lately. Most recent works deal with the scale of the problem by observing a subset of the no…