5 citations · 8 across the 7 of their papers we have counts for
9 papers
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning
Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy +3
Next-generation sequencing technologies have enhanced the scope of Internet-of-Things (IoT) to include genomics for personalized medicine through the increased availability of an a…
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
Prasad hajare, Sadia Kamal, Siddharth Krishnan +1
Computational methods to model political bias in social media involve several challenges due to heterogeneity, high-dimensional, multiple modalities, and the scale of the data. Pol…
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla +3
The emergence of novel pathogens and zoonotic diseases like the SARS-CoV-2 have underlined the need for developing novel diagnosis and intervention pipelines that can learn rapidly…
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
Online hate speech on social media has become a fast-growing problem in recent times. Nefarious groups have developed large content delivery networks across several main-stream (Tw…
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur +1
Bovine Respiratory Disease Complex (BRDC) is a complex respiratory disease in cattle with multiple etiologies, including bacterial and viral. It is estimated that mortality, morbid…
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi +1
The ubiquity of social media has transformed online interactions among individuals. Despite positive effects, it has also allowed anti-social elements to unite in alternative socia…