Social change, industrialisation and public libraries: a theoretical approach. - Bülent Yilmaz (Aslib Proc., 2002)

Venous catheter based mapping of ectopic epicardial activation: training data set selection for statistical estimation. - Bülent Yilmaz; Robert S. MacLeod; Bonnie B. Punske; Bruno Taccardi; Dana H. Brooks (IEEE Trans. Biomed. Eng., 2005)

Arrhythmia Source Localization from Intravenous and Transthoracic Catheter Measurements. - Bülent Yilmaz; Ugur Cunedioglu; Oguzhan Çakir (EMBC, 2006)

Instance Selection for Estimation of Epicardial Activation Sequence from Venous Catheter Measurements. - Bülent Yilmaz; Robert S. MacLeod (EMBC, 2006)

Source localization of focal ventricular arrhythmias using linear estimation, correlation, and back propagation networks. - Bülent Yilmaz; Ugur Cunedioglu (Comput. Biol. Medicine, 2007)

Generalized training subset selection for statistical estimation of epicardial activation maps from intravenous catheter measurements. - Bülent Yilmaz; Robert S. MacLeod (Comput. Biol. Medicine, 2007)

Feasibility of probabilistic neural networks, Kohonen self-organizing maps and fuzzy clustering for source localization of ventricular focal arrhythmias from intravenous catheter measurements. - Ahmet Sertaç Sunay; Ugur Cunedioglu; Bülent Yilmaz (Expert Syst. J. Knowl. Eng., 2009)

Combination of Computer Simulations and Experimental Measurements as the Training Dataset for Statistical Estimation of Epicardial Activation Maps From Venous Catheter Recordings. - Ugur Cunedioglu; Bülent Yilmaz (IEEE Trans. Biomed. Eng., 2009)

Distance education on digitization: evaluation of an application in Turkey. - Bülent Yilmaz; Özgür Külcü; Yurdagül Ünal; Tolga Çakmak (Aslib Proc., 2013)

An FDTD-based computer simulation platform for shock wave propagation in electrohydraulic lithotripsy. - Bülent Yilmaz; Emre Çiftçi (Comput. Methods Programs Biomed., 2013)

The Role of Public Libraries in Information Literacy in Turkey: A Study of a Provincial Public Library. - Bülent Yilmaz; Demet Soylu (ECIL, 2014)

Liver fibrosis staging using CT image texture analysis and soft computing. - Ömer Kayaalti; Bekir Hakan Aksebzeci; Ibrahim Ökkes Karahan; Kemal Deniz; Mehmet Öztürk; Bülent Yilmaz; Sadik Kara; Musa Hakan Asyali (Appl. Soft Comput., 2014)

Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies. - Bülent Yilmaz; Sümeyye Korkmaz; Dilek Betül Arslan; Evrim Güngör; Musa H. Asyali (Comput. Methods Programs Biomed., 2014)

Self-Censorship in Social Media: A Case Study of Hacettepe University. - Bülent Yilmaz; Demet Soylu (J. Inf. Knowl. Manag., 2015)

Use of Topological Data Analysis in Motor Intention Based Brain-Computer Interfaces. - Fatih Altindis; Bülent Yilmaz; Sergey Borisenok; Kutay Içöz (EUSIPCO, 2018)

Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC? - Seyhan Karaçavus; Bülent Yilmaz; Arzu Tasdemir; Ömer Kayaalti; Eser Kaya; Semra Içer; Oguzhan Ayyildiz (J. Digit. Imaging, 2018)

Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction. - Pinar Özel; Aydin Akan; Bülent Yilmaz (Biomed. Signal Process. Control., 2019)

Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images. - Fatma Uslu; Kutay Içöz; Kasim Tasdemir; Bülent Yilmaz (Biomed. Signal Process. Control., 2019)

Metabolic Imaging Based Sub-Classification of Lung Cancer. - Mustafa Bicakci; Oguzhan Ayyildiz; Zafer Aydin; Alper Bastürk; Seyhan Karaçavus; Bülent Yilmaz (IEEE Access, 2020)

Lung cancer subtype differentiation from positron emission tomography images. - Oguzhan Ayyildiz; Zafer Aydin; Bülent Yilmaz; Seyhan Karaçavus; Kübra Senkaya; Semra Içer; Arzu Tasdemir; Eser Kaya (Turkish J. Electr. Eng. Comput. Sci., 2020)

Parameter investigation of topological data analysis for EEG signals. - Fatih Altindis; Bülent Yilmaz; Sergey Borisenok; Kutay Içöz (Biomed. Signal Process. Control., 2021)

Super resolution convolutional neural network based pre-processing for automatic polyp detection in colonoscopy images. - Merve Tas; Bülent Yilmaz (Comput. Electr. Eng., 2021)

Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection. - Rukiye Nur Kaçmaz; Bülent Yilmaz; Zafer Aydin (Int. J. Imaging Syst. Technol., 2021)

Sliding Window and Filterbank Utilization on Riemannian Geometry. - Fatih Altindis; Bülent Yilmaz (INISTA, 2022)

Detection of Movement Intention in EEG-Based Brain-Computer Interfaces Using Fourier-Based Synchrosqueezing Transform. - Nedime Karakullukcu; Bülent Yilmaz (Int. J. Neural Syst., 2022)

Split-attention effects in multimedia learning environments: eye-tracking and EEG analysis. - Duygu Mutlu Bayraktar; Pinar Özel; Fatih Altindis; Bülent Yilmaz (Multim. Tools Appl., 2022)

Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization. - Sena Busra Yengec Tasdemir; Zafer Aydin; Ebru Akay; Serkan Dogan; Bülent Yilmaz (Comput. Methods Programs Biomed., 2023)

Relationship between objective and subjective cognitive load measurements in multimedia learning. - Duygu Mutlu Bayraktar; Pinar Özel; Fatih Altindis; Bülent Yilmaz (Interact. Learn. Environ., 2023)

Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors. - Fatih Altindis; Antara Banerjee; Ronald Phlypo; Bülent Yilmaz; Marco Congedo (IEEE J. Biomed. Health Informatics, 2023)

Examining Tongue Movement Intentions in EEG with Machine and Deep Learning: An Approach for Dysphagia Rehabilitation. - Sevgi Gökçe Aslan; Bülent Yilmaz (EUSIPCO, 2024)

Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models. - Sevgi Gökçe Aslan; Bülent Yilmaz (IEEE Access, 2024)

Object Weight Perception in Motor Imagery Using Fourier-Based Synchrosqueezing Transform and Regularized Common Spatial Patterns. - Nedime Karakullukcu; Fatih Altindis; Bülent Yilmaz (IEEE Access, 2024)

An effective colorectal polyp classification for histopathological images based on supervised contrastive learning. - Sena Busra Yengec Tasdemir; Zafer Aydin; Ebru Akay; Serkan Dogan; Bülent Yilmaz (Comput. Biol. Medicine, 2024)

A comprehensive study on automatic non-informative frame detection in colonoscopy videos. - Rukiye Nur Kaçmaz; Refika Sultan Dogan; Bülent Yilmaz (Int. J. Imaging Syst. Technol., 2024)

Improving Machine Learning Predictive Capacity for Supply Chain Optimization through Domain Adversarial Neural Networks. - Javed Sayyad; Khush Attarde; Bülent Yilmaz (Big Data Cogn. Comput., 2024)

Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training. - Orhan Demirci; Bülent Yilmaz (CoRR, 2025)