5 citations · 9 across the 5 of their papers we have counts for
9 papers
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection
Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal +2
Epidemics like Covid-19 and Ebola have impacted people's lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been si…
Process Knowledge-infused Learning for Suicidality Assessment on Social Media
Kaushik Roy, Manas Gaur, Qi Zhang +1
Improving the performance and natural language explanations of deep learning algorithms is a priority for adoption by humans in the real world. In several domains, such as healthca…
Knowledge-intensive Language Understanding for Explainable AI
Amit Sheth, Manas Gaur, Kaushik Roy +1
AI systems have seen significant adoption in various domains. At the same time, further adoption in some domains is hindered by inability to fully trust an AI system that it will n…
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits
Kaushik Roy, Qi Zhang, Manas Gaur +1
Contextual Bandits find important use cases in various real-life scenarios such as online advertising, recommendation systems, healthcare, etc. However, most of the algorithms use…
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
Manas Gaur, Kaushik Roy, Aditya Sharma +2
During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with va…
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
Manas Gaur, Vamsi Aribandi, Amanuel Alambo +5
Suicide is the 10th leading cause of death in the U.S (1999-2019). However, predicting when someone will attempt suicide has been nearly impossible. In the modern world, many indiv…