73 citations · 101 across the 7 of their papers we have counts for
7 papers
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data
Axel Wismüller, Ali Vosoughi, Adora DSouza +1
It is a challenging research endeavor to infer causal relationships in multivariate observational time-series. Such data may be represented by graphs, where nodes represent time-se…
Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
Carol Anderson, Bo Liu, Anas Abidin +2
Social media posts contain potentially valuable information about medical conditions and health-related behavior. Biocreative VII Task 3 focuses on mining this information by recog…
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
Virginia Adams, Hoo-Chang Shin, Carol Anderson +2
The Biocreative VII Track-2 challenge consists of named entity recognition, entity-linking (or entity-normalization), and topic indexing tasks -- with entities and topics limited t…
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
Virginia Adams, Hoo-Chang Shin, Carol Anderson +2
In Track-1 of the BioCreative VII Challenge participants are asked to identify interactions between drugs/chemicals and proteins. In-context named entity annotations for each drug/…
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data
Axel Wismüller, Adora M. DSouza, Anas Z. Abidin
To gain insight into complex systems it is a key challenge to infer nonlinear causal directional relations from observational time-series data. Specifically, estimating causal rela…
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline
Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
Chest x-rays are the most common radiology studies for diagnosing lung and heart disease. Hence, a system for automated pre-reporting of pathologic findings on chest x-rays would g…