Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm. - Inan Güler; Firat Hardalaç; Necaattin Barisçi (Comput. Biol. Medicine, 2002)

Classification of aorta doppler signals using variable coded-hierarchical genetic fuzzy system. - Inan Güler; Firat Hardalaç; Uçman Ergün; Necaattin Barisçi (Expert Syst. Appl., 2004)

Kardiyak doppler işaretlerinin yapay sinir ağı ve NEFCLASS ile sınıflandırılması (Classification of cardiac doppler signals by using artificial neural network and NEFCLASS) - Necaattin Barisçi (2005)

Application of an adaptive neuro-fuzzy inference system for classification of Behcet disease using the fast Fourier transform method. - Necaattin Barisçi; Firat Hardalaç (Expert Syst. J. Knowl. Eng., 2007)

The Adaptive ARMA Analysis of EMG Signals. - Necaattin Barisçi (J. Medical Syst., 2008)

Comparison of Multi Layer Perceptron and Jordan Elman Neural Networks for Diagnosis of Hypertension. - Fuat Türk; Necaattin Barisçi; Aydin Çiftçi; Yakup Ekmekçi (Intell. Autom. Soft Comput., 2015)

Control of Pitch Angle of Wind Turbine by Fuzzy Pid Controller. - Zafer Civelek; Murat Lüy; Ertugrul Çam; Necaattin Barisçi (Intell. Autom. Soft Comput., 2016)

Permission-Based Malware Detection System for Android Using Machine Learning Techniques. - Recep Sinan Arslan; Ibrahim Alper Dogru; Necaattin Barisçi (Int. J. Softw. Eng. Knowl. Eng., 2019)

A detailed survey of Turkish automatic speech recognition. - Recep Sinan Arslan; Necaattin Barisçi (Turkish J. Electr. Eng. Comput. Sci., 2020)

Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images. - Atakan Körez; Necaattin Barisçi; Aydin Çetin; Uçman Ergün (ISPRS Int. J. Geo Inf., 2020)

An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning. - Abdüssamed Erciyas; Necaattin Barisçi (Comput. Math. Methods Medicine, 2021)

Detecting and correcting automatic speech recognition errors with a new model. - Recep Sinan Arslan; Necaattin Barisçi; Nursal Arici; Sabri Koçer (Turkish J. Electr. Eng. Comput. Sci., 2021)

Renal Segmentation Using an Improved U-Net3D Model. - Fuat Türk; Murat Lüy; Necaattin Barisçi (J. Medical Imaging Health Informatics, 2021)

Application-based spam detection with machine learning algorithms. - Ali Erbey; Necaattin Barisçi (IVUS, 2022)

Kidney Tumor Segmentation Using Two-Stage Bottleneck Block Architecture. - Fuat Türk; Murat Lüy; Necaattin Barisçi; Fikret Yalcinkaya (Intell. Autom. Soft Comput., 2022)

A novel prostate segmentation method: triple fusion model with hybrid loss. - Hakan Öcal; Necaattin Barisçi (Neural Comput. Appl., 2022)

Optimization of indoor thermal comfort values with fuzzy logic and genetic algorithm. - Sonay Görgülü Balci; Süleyman Ersöz; Murat Lüy; Ahmet Kürsad Türker; Necaattin Barisçi (J. Intell. Fuzzy Syst., 2023)

Improving detection and classification of diabetic retinopathy using CUDA and Mask RCNN. - Abdüssamed Erciyas; Necaattin Barisçi; Halil Murat Ünver; Hüseyin Polat 002 (Signal Image Video Process., 2023)

A review on deep learning applications with semantics. - Emre Akdemir; Necaattin Barisçi (Expert Syst. Appl., 2024)

A meta-analysis on diabetic retinopathy and deep learning applications. - Abdüssamed Erciyas; Necaattin Barisçi (Multim. Tools Appl., 2024)

Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method. - Emre Safak; Necaattin Barisçi (PeerJ Comput. Sci., 2024)

BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices. - Emre Safak; Ibrahim Alper Dogru; Necaattin Barisçi; Ismail Atacak (PeerJ Comput. Sci., 2025)

Generative-based hybrid model with semantic representations for generalized zero-shot learning. - Emre Akdemir; Necaattin Barisçi (Signal Image Video Process., 2025)