Emre Besler - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Inter-Patient Atrial Flutter Classification Using FFT-Based Features and a Low-Variance Stacking ClassifierEmre Besler, Priyanka K. Mathur, Hawkins C. Gay, Rod S. Passman, Alan V. Sahakian. tbe, 69(1):156-164, 2022. [doi]

2020

Real-Time Radiofrequency Ablation Lesion Depth Estimation Using Multi-frequency Impedance With a Deep Neural Network and Tree-Based EnsemblesEmre Besler, Yearnchee Curtis Wang, Alan V. Sahakian. tbe, 67(7):1890-1899, 2020. [doi]

Early and Late Fusion Machine Learning on Multi-Frequency Electrical Impedance Data to Improve Radiofrequency Ablation MonitoringEmre Besler, Yearnchee Curtis Wang, Alan V. Sahakian. titb, 24(8):2359-2367, 2020. [doi]

2019

Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency AblationEmre Besler, Yearnchee Curtis Wang, Terence Chan, Alan Varteres Sahakian. aime 2019: 205-215 [doi]

2016

Variational Gaussian process for missing label crowdsourcing classification problemsPablo Ruiz 0002, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos. mlsp 2016: 1-6 [doi]

Classification of multiple annotator data using variational Gaussian process inferenceEmre Besler, Pablo Ruiz 0002, Rafael Molina, Aggelos K. Katsaggelos. eusipco 2016: 2025-2029 [doi]

2015

Variational Gaussian process for sensor fusionNeda Rohani, Pablo Ruiz 0002, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos. eusipco 2015: 170-174 [doi]

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