A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity. - Oguz Akbilgic; Hamparsum Bozdogan (ECDA, 2013)

Social network analysis of scientific collaborations across different subject fields. - Hamparsum Bozdogan; Oguz Akbilgic (Inf. Serv. Use, 2013)

ISTANBUL STOCK EXCHANGE. - Oguz Akbilgic (UCI Machine Learning Repository, 2013)

A novel Hybrid RBF Neural Networks model as a forecaster. - Oguz Akbilgic; Hamparsum Bozdogan; M. Erdal Balaban (Stat. Comput., 2014)

Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest. - Ruhi Mahajan; Rishikesan Kamaleswaran; John Andrew Howe; Oguz Akbilgic (CinC, 2017)

Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions. - Teeradache Viangteeravat; Oguz Akbilgic; Robert L. Davis (CRI, 2017)

Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams. - Ruhi Mahajan; Rishikesan Kamaleswaran; Oguz Akbilgic (DMAH@VLDB, 2017)

Improved detection of congestive heart failure via probabilistic symbolic pattern recognition and heart rate variability metrics. - Ruhi Mahajan; Teeradache Viangteeravat; Oguz Akbilgic (Int. J. Medical Informatics, 2017)

A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording. - Ruhi Mahajan; Rishikesan Kamaleswaran; Oguz Akbilgic (BHI, 2018)

Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children. - Ruhi Mahajan; Eun Kyong Shin; Arash Shaban-Nejad; Max Raymond Langham; Michelle Y. Martin; Robert Lowell Davis; Oguz Akbilgic (EFMI-STC, 2018)

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. - Eun Kyong Shin; Ruhi Mahajan; Oguz Akbilgic; Arash Shaban-Nejad (npj Digit. Medicine, 2018)

Unstructured Text in EMR Improves Prediction of Death after Surgery in Children. - Oguz Akbilgic; Ramin Homayouni; Kevin Heinrich; Max Raymond Langham; Robert Lowell Davis (Informatics, 2019)

PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform. - Jacob R. Sutton; Ruhi Mahajan; Oguz Akbilgic; Rishikesan Kamaleswaran (IEEE J. Biomed. Health Informatics, 2019)

Gradient boosting for Parkinson's disease diagnosis from voice recordings. - Ibrahim Karabayir; Samuel M. Goldman; Suguna Pappu; Oguz Akbilgic (BMC Medical Informatics Decis. Mak., 2020)

A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. - Oguz Akbilgic; Eun Kyong Shin; Arash Shaban-Nejad (CoRR, 2021)

A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO). - Ibrahim Karabayir; Oguz Akbilgic; Nihat Tas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic. - Liam Butler; Ibrahim Karabayir; Mohammad Samie Tootooni; Majid Afshar; Ari Goldberg; Oguz Akbilgic (Int. J. Medical Informatics, 2022)