34 citations · 43 across the 8 of their papers we have counts for
8 papers
Leveraging Large Language Models for Automated Scalable Development of Open Scientific Databases
Nikita Gautam, Doina Caragea, Ignacio Ciampitti +1
With the exponential increase in online scientific literature, identifying reliable domain-specific data has become increasingly important but also very challenging. Manual data co…
Neural Network Based Molecular Structure Retrieval from Coulomb Explosion Imaging Data
Amirhossein Ghanaatian, Aravinth K. Ravi, Joshua Stallbaumer +6
Determining the structure and following the structural evolution of molecules undergoing chemical reactions is one of the key goals of ultrafast molecular physics and chemistry. Re…
Predictive Modeling and Explainable AI for Veterinary Safety Profiles, Residue Assessment, and Health Outcomes Using Real-World Data and Physicochemical Properties
Hossein Sholehrasa, Xuan Xu, Doina Caragea +2
The safe use of pharmaceuticals in food-producing animals is vital to protect animal welfare and human food safety. Adverse events (AEs) may signal unexpected pharmacokinetic or to…
AutoPK: Leveraging LLMs and a Hybrid Similarity Metric for Advanced Retrieval of Pharmacokinetic Data from Complex Tables and Documents
Hossein Sholehrasa, Amirhossein Ghanaatian, Doina Caragea +3
Pharmacokinetics (PK) plays a critical role in drug development and regulatory decision-making for human and veterinary medicine, directly affecting public health through drug safe…
Benchmarking Android Malware Detection: Traditional vs. Deep Learning Models
Guojun Liu, Doina Caragea, Xinming Ou +1
Android malware detection has been extensively studied using both traditional machine learning (ML) and deep learning (DL) approaches. While many state-of-the-art detection models,…
The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection
Guojun Liu, Doina Caragea, Xinming Ou +1
When machine learning is used for Android malware detection, an app needs to be represented in a numerical format for training and testing. We identify a widespread occurrence of d…
Keyphrase Extraction from Disaster-related Tweets
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
While keyphrase extraction has received considerable attention in recent years, relatively few studies exist on extracting keyphrases from social media platforms such as Twitter, a…
KSU KDD: Word Sense Induction by Clustering in Topic Space
Wesam Elshamy, Doina Caragea, William Hsu
We describe our language-independent unsupervised word sense induction system. This system only uses topic features to cluster different word senses in their global context topic s…