The Classification of Turkish Economic Growth by Artificial Neural Network Algorithms. - Yeliz Karaca; Sengül Bayrak; Emrullah Fatih Yetkin (ICCSA (2), 2017)

Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis. - Yeliz Karaca; Carlo Cattani; Majaz Moonis (ICCSA (2), 2017)

Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation. - Yeliz Karaca; Zafer Aslan; Carlo Cattani; Diana Galletta; Yudong Zhang 001 (J. Medical Syst., 2017)

ANN Classification of MS Subgroups with Diffusion Limited Aggregation. - Yeliz Karaca; Carlo Cattani; Rana Karabudak (ICCSA (2), 2018)

Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm. - Yeliz Karaca; Majaz Moonis; Abul Hasan Siddiqi; Basar Turan (ICCSA (2), 2018)

Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient. - Yeliz Karaca; Ahmet Sertbas; Sengül Bayrak (ICCSA (2), 2018)

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms. - Yeliz Karaca; Carlo Cattani; Majaz Moonis; Sengül Bayrak (Complex., 2018)

A Comparison of Two Hölder Regularity Functions to Forecast Stock Indices by ANN Algorithms. - Yeliz Karaca; Carlo Cattani (ICCSA (2), 2019)

Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification. - Yeliz Karaca; Majaz Moonis; Yudong Zhang 001 (ICCSA (2), 2019)

Mobile cloud computing based stroke healthcare system. - Yeliz Karaca; Majaz Moonis; Yudong Zhang 001; Caner Gezgez (Int. J. Inf. Manag., 2019)

Decision Tree-Based Transdisciplinary Systems Modelling for Cognitive Status in Neurological Diseases. - Yeliz Karaca; Elgiz Yilmaz Altuntas (ICCSA (2), 2020)

Multifractional Gaussian Process Based on Self-similarity Modelling for MS Subgroups' Clustering with Fuzzy C-Means. - Yeliz Karaca; Dumitru Baleanu (ICCSA (2), 2020)

Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification. - Yeliz Karaca; Dumitru Baleanu; Majaz Moonis; Yu-Dong Zhang 001 (ICCSA (2), 2020)

Glomerulus Classification via an Improved GoogLeNet. - Xujing Yao; Xinyue Wang; Yeliz Karaca; Jiayong Xie; Shuihua Wang (IEEE Access, 2020)

Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling. - Yeliz Karaca; Yu-Dong Zhang 001; Khan Muhammad 001 (Expert Syst. Appl., 2020)

Hidden Markov Model and multifractal method-based predictive quantization complexity models vis-á-vis the differential prognosis and differentiation of Multiple Sclerosis' subgroups. - Yeliz Karaca; Dumitru Baleanu; Rana Karabudak (Knowl. Based Syst., 2022)

Analytic Solutions of Fractional Differential Equation Associated with the k-Symbol Tremblay Differential Operator. - Rabha W. Ibrahim; Suzan Jabbar Obaiys; Nur Amalina Jamaludin; Yeliz Karaca (ICCSA (Workshops 1), 2023)

Fractional Order Computing and Modeling with Portending Complex Fit Real-World Data. - Yeliz Karaca; Mati ur Rahman; Dumitru Baleanu (ICCSA (Workshops 1), 2023)

Secure Image Encryption Using Single-Mode Fiber and Dense Wavelength Division Multiplexing in Chaotic Systems. - Nadia M. G. Al-Saidi; Suzan Jabbar Obaiys; Nawras A. Alwan; Arkan J. Mohammed; Alaa Kadhim Farhan; Yeliz Karaca (ICCSA (Workshops 1), 2024)

A Pseudo Random Number Generator Based on 4D Hyperchaotic Systems, Riddled Basins of Attraction and Advanced Microfluidic Technology. - Nawres A. Alwan; Suzan Jabbar Obaiys; Nadia M. G. Al-Saidi; Nurul Fazmidar Mohd Noor; Yeliz Karaca (ICCSA (Workshops 1), 2024)

Gradient-Based Weighted Central Pixel Matching for Efficient Fractal Image Coding. - Nadia M. G. Al-Saidi; Suzan J. Obaiys; Arkan J. Mohammed; Yeliz Karaca (ICCSA (1), 2025)

Data-Driven Time Series Modeling with Hurst Exponent for Nonlinear Indexes' Forecasting by Artificial Neural Networks. - Yeliz Karaca; Osvaldo Gervasi (ICCSA (Workshops 1), 2025)

Towards Smarter Vegetation Health Clustering: Insights from Fractal Dimension, NDVI, and LST Metrics Derived via Remote Sensing Landsat Dataset. - Suhad A. Yousif; Venus Wazeer Samawi; Nadia M. G. Al-Saidi; Yeliz Karaca (ICCSA (Workshops 1), 2025)