13 citations · 23 across the 14 of their papers we have counts for
16 papers
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
S M Rafiuddin, Mohammed Rakib, Sadia Kamal +1
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained linguistics problem that entails the extraction of multifaceted aspects, opinions, and sentiments from the given text. Both…
HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction
Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain +2
Modeling the interactions between drugs, targets, and diseases is paramount in drug discovery and has significant implications for precision medicine and personalized treatments. C…
Modeling Political Orientation of Social Media Posts: An Extended Analysis
Sadia Kamal, Brenner Little, Jade Gullic +3
Developing machine learning models to characterize political polarization on online social media presents significant challenges. These challenges mainly stem from various factors…
Quantitative Analysis of Forecasting Models:In the Aspect of Online Political Bias
Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi
Understanding and mitigating political bias in online social media platforms are crucial tasks to combat misinformation and echo chamber effects. However, characterizing political…
Learning Unbiased News Article Representations: A Knowledge-Infused Approach
Sadia Kamal, Jimmy Hartford, Jeremy Willis +1
Quantification of the political leaning of online news articles can aid in understanding the dynamics of political ideology in social groups and measures to mitigating them. Howeve…
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…
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla +4
Advances in next-generation metagenome sequencing have the potential to revolutionize the point-of-care diagnosis of novel pathogen infections, which could help prevent potential w…
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…
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Egocentric perception has grown rapidly with the advent of immersive computing devices. Human gaze prediction is an important problem in analyzing egocentric videos and has primari…
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan +1
South Indian classical music (Carnatic music) is best consumed through live concerts. A carnatic recital requires meticulous planning accounting for several parameters like the per…
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid +2
Online social media, periodically serves as a platform for cascading polarizing topics of conversation. The inherent community structure present in online social networks (homophil…
MultiNet: A Scalable Multilayer Network Embedding Framework
Arunkumar Bagavathi, Siddharth Krishnan
Representation learning of networks has witnessed significant progress in recent times. Such representations have been effectively used for classic network-based machine learning t…