activity
20182021
most citedSelf-Supervised Claim Identification for Automated Fact Checking

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment

Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber +3

Self-supervised learning provides an opportunity to explore unlabeled chest X-rays and their associated free-text reports accumulated in clinical routine without manual supervision…

cs.CL20214 cited

Self-Supervised Claim Identification for Automated Fact Checking

Archita Pathak, Mohammad Abuzar Shaikh, Rohini Srihari

We propose a novel, attention-based self-supervised approach to identify "claim-worthy" sentences in a fake news article, an important first step in automated fact-checking. We lev…

cs.LG2020

Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh +2

The pattern of Electroencephalogram (EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a lear…

cs.CV2019

Explanation based Handwriting Verification

Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari

Deep learning system have drawback that their output is not accompanied with ex-planation. In a domain such as forensic handwriting verification it is essential to provideexplanati…

cs.CV2018

Hybrid Feature Learning for Handwriting Verification

Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu +1

We propose an effective Hybrid Deep Learning (HDL) architecture for the task of determining the probability that a questioned handwritten word has been written by a known writer. H…