97 citations · 213 across the 8 of their papers we have counts for
9 papers
HypoKG: Evidence-Disciplined Biomedical Hypothesis Generation Beyond Endpoint Knowledge
Dominic Okonkwo, Adetayo Okunoye, Ismailcem Budak Arpinar
Large language models (LLMs) can generate biomedical hypotheses, but it remains unclear whether they truly reason from scientific evidence or simply produce convincing-sounding ide…
ProtStructQA: A Denotation Threshold in Protein Structural Reasoning
Aravind Mandiga, Guoming Li, Jin Lu +3
Protein-language systems are often evaluated by whether they generate plausible biological text, but a structural question has a sharper semantics: it denotes a measurement in a 3D…
A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller, Mohammed Aldosari, Farah Saeed +4
Deep Learning has been successfully applied to many application domains, yet its advantages have been slow to emerge for time series forecasting. For example, in the well-known Mak…
Improving COVID-19 Forecasting using eXogenous Variables
Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari +7
In this work, we study the pandemic course in the United States by considering national and state levels data. We propose and compare multiple time-series prediction techniques whi…
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Indrajeet Y. Javeri, Mohammadhossein Toutiaee, Ismailcem B. Arpinar +2
Statistical methods such as the Box-Jenkins method for time-series forecasting have been prominent since their development in 1970. Many researchers rely on such models as they can…
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu +5
The convenience of social media has also enabled its misuse, potentially resulting in toxic behavior. Nearly 66% of internet users have observed online harassment, and 41% claim pe…
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
Ugur Kursuncu, Manas Gaur, Carlos Castillo +6
Terror attacks have been linked in part to online extremist content. Although tens of thousands of Islamist extremism supporters consume such content, they are a small fraction rel…
"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding
Ugur Kursuncu, Manas Gaur, Usha Lokala +5
With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing infor…
Predictive Analysis on Twitter: Techniques and Applications
Ugur Kursuncu, Manas Gaur, Usha Lokala +3
Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable info…