Variational Gaussian process for sensor fusion. - Neda Rohani; Pablo Ruiz 002; Emre Besler; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2015)

Classification of multiple annotator data using variational Gaussian process inference. - Emre Besler; Pablo Ruiz 002; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2016)

Variational Gaussian process for missing label crowdsourcing classification problems. - Pablo Ruiz 002; Emre Besler; Rafael Molina 001; Aggelos K. Katsaggelos (MLSP, 2016)

Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation. - Emre Besler; Yearnchee Curtis Wang; Terence Chan; Alan Varteres Sahakian (AIME, 2019)

Real-Time Radiofrequency Ablation Lesion Depth Estimation Using Multi-frequency Impedance With a Deep Neural Network and Tree-Based Ensembles. - Emre Besler; Yearnchee Curtis Wang; Alan V. Sahakian (IEEE Trans. Biomed. Eng., 2020)

Early and Late Fusion Machine Learning on Multi-Frequency Electrical Impedance Data to Improve Radiofrequency Ablation Monitoring. - Emre Besler; Yearnchee Curtis Wang; Alan V. Sahakian (IEEE J. Biomed. Health Informatics, 2020)

Inter-Patient Atrial Flutter Classification Using FFT-Based Features and a Low-Variance Stacking Classifier. - Emre Besler; Priyanka K. Mathur; Hawkins C. Gay; Rod S. Passman; Alan V. Sahakian (IEEE Trans. Biomed. Eng., 2022)