1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of FloridaUS30 papers
- UF Health Cancer Center5 papers
- Cornell UniversityUS4 papers
- Florida CollegeUS4 papers
- Northwestern UniversityUS4 papers
- Stanford UniversityUS4 papers
- Weill Cornell MedicineUS4 papers
- Florida State UniversityUS3 papers
- University of Alabama at BirminghamUS3 papers
- University of California, Los AngelesUS3 papers
- University of California San DiegoUS3 papers
- University of MichiganUS3 papers
5 papers · 1 filter
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Zhanli Chen, Rashid Ansari, Diana J. Wilkie
Patient pain can be detected highly reliably from facial expressions using a set of facial muscle-based action units (AUs) defined by the Facial Action Coding System (FACS). A key…
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Ruimin Sun, Xiaoyong Yuan, Pan He +5
Existing malware detectors on safety-critical devices have difficulties in runtime detection due to the performance overhead. In this paper, we introduce PROPEDEUTICA, a framework…
Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy
Rakesh Malladi, Don H Johnson, Giridhar P Kalamangalam +2
We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referre…
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
Benjamin Shickel, Patrick Tighe, Azra Bihorac +1
The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHR). While primarily designed for archiving patient clinical inform…
Learning Bundled Care Opportunities from Electronic Medical Records
You Chen, Abel N. Kho, David Liebovitz +4
Objectives: The fee-for-service approach to healthcare leads to the management of a patient's conditions in an independent manner, inducing various negative consequences. It is rec…