Oguz Akbilgic

发表

A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity

Oguz Akbilgic, Hamparsum Bozdogan, H. Bozdogan, 2013, ECDA.

Cardiac rhythm classification from a short single lead ECG recording via random forest

Rishikesan Kamaleswaran, Oguz Akbilgic, Ruhi Mahajan, 2017, 2017 Computing in Cardiology (CinC).

Gradient boosting for Parkinson’s disease diagnosis from voice recordings

Oguz Akbilgic, Ibrahim Karabayir, Samuel M. Goldman, 2020, BMC Medical Informatics and Decision Making.

Unstructured Text in EMR Improves Prediction of Death after Surgery in Children

Ramin Homayouni, Oguz Akbilgic, Kevin Heinrich, 2018, Informatics.

A novel Hybrid RBF Neural Networks model as a forecaster

Oguz Akbilgic, Hamparsum Bozdogan, M. Erdal Balaban, 2013, Statistics and Computing.

Social network analysis of scientific collaborations across different subject fields

Oguz Akbilgic, Hamparsum Bozdogan, H. Bozdogan, 2013, Inf. Serv. Use.

How much data should we collect? A case study in sepsis detection using deep learning

Shamim Nemati, Anahita Khojandi, Rishikesan Kamaleswaran, 2017, 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).

A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length

Rishikesan Kamaleswaran, Oguz Akbilgic, Ruhi Mahajan, 2018, Physiological measurement.

Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children

Arash Shaban-Nejad, Eun Kyong Shin, Oguz Akbilgic, 2018, EFMI-STC.

Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection

Rishikesan Kamaleswaran, Oguz Akbilgic, Ruhi Mahajan, 2020, Cardiovascular digital health journal.

A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)

Oguz Akbilgic, Ibrahim Karabayir, Nihat Tas, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording

Rishikesan Kamaleswaran, Oguz Akbilgic, Ruhi Mahajan, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform

Rishikesan Kamaleswaran, Oguz Akbilgic, Jacob R. Sutton, 2019, IEEE Journal of Biomedical and Health Informatics.

Improved detection of congestive heart failure via probabilistic symbolic pattern recognition and heart rate variability metrics

Oguz Akbilgic, Ruhi Mahajan, Teeradache Viangteeravat, 2017, Int. J. Medical Informatics.

Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions

Oguz Akbilgic, Teeradache Viangteeravat, Robert L. Davis, 2017, CRI.

Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams

Rishikesan Kamaleswaran, Oguz Akbilgic, Ruhi Mahajan, 2017, DMAH@VLDB.

An assessment framework to quantify the interaction between the built environment and the electricity grid

Oguz Akbilgic, Joule A. Bergerson, Eduard Cubi, 2017 .

RBF Neural Networks aided Logistic Regression for Binary Classication A Case Study on Hydraulic Fracturing in Oil & Gas Wells

Oguz Akbilgic, 2013 .

A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery

Arash Shaban-Nejad, Eun Kyong Shin, Oguz Akbilgic, 2021, Frontiers in Pediatrics.

Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU*

Rishikesan Kamaleswaran, Oguz Akbilgic, Robert L. Davis, 2018, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

A meta-analysis of carbon capture and storage technology assessments: Understanding the driving factors of variability in cost estimates

Oguz Akbilgic, Joule A. Bergerson, Maryam Mahmoudkhani, 2015 .

A novel risk classification system for 30-day mortality in children undergoing surgery

Robert L Davis, Oguz Akbilgic, R. Davis, 2018, PloS one.

Symbolic pattern recognition for sequential data

Oguz Akbilgic, J. Andrew Howe, O. Akbilgic, 2017 .

Prediction of steam-assisted gravity drainage steam to oil ratio from reservoir characteristics

Oguz Akbilgic, Ian D. Gates, Joule A. Bergerson, 2015 .

Categorizing atrial fibrillation via Symbolic Pattern Recognition

Oguz Akbilgic, John Andrew Howe, Robert L. Davis, 2016 .

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits

Arash Shaban-Nejad, Eun Kyong Shin, Oguz Akbilgic, 2018, npj Digital Medicine.

Race, Preoperative Risk Factors, and Death After Surgery

Oguz Akbilgic, Max Raymond Langham, Robert Lowell Davis, 2018, Pediatrics.

The Promise of Machine Learning: When Will it be Delivered?

Robert L Davis, Oguz Akbilgic, R. Davis, 2019, Journal of cardiac failure.