2023

1-Doğru, F.Z., and Arslan, O.(2023) Mixture regression modelling based on the shape mixtures of skew Laplace normal distribution, Journal of Statistical Computation and Simulation,93:18, 3403-3420, DOI: 10.1080/00949655.2023.2226281
2-Bekiroğlu G.N., Avcı E., Özgür E.G. (2023). What is the best method for long-term survival analysis? Indian J Cancer 2022;59:457-61. DOI: 10.4103/ijc.IJC_22_21. (SCI-E)
3-Sinan H., Uzunoğlu E., Uğur Cerrah M., Avcı E., Akdemir C., Direkel, Ş. (2023). Rapid Antigen Tests for COVID-19  Are Their Specificity  Sensivity and Accuracy Sufficient . The Middle Black Sea Journal of Health Science, 9(3), 387–393. Diğer endeksler (Türk MEDLINE, SOBIAD, Türk Atıf Dizini.
4-Doğru, F.Z., Arslan, O. 2023. Variance-mean mixture of multivariate normal distribution and weighted gamma distribution: properties and applications. J. Korean Stat. Soc. 52, 185–222.
5-Chen, M.-Y., Thuraisingham, B., Egrioglu, E., Rubio, J.D.J., Introduction to the Special Issue on Smart Systems for Industry 4.0 and IoT, ACM Transactions on Management Information Systems, 2023, 13(4), 35.
6-Olmez, E., Egrioglu, E., & Bas, E. (2023). Bootstrapped dendritic neuron model artificial neural network for forecasting. Granular Computing, 8, 1689-1699.
7-Cansu, T., Kolemen, E., Karahasan, O., Bas, E., & Egrioglu, E. (2023). A new training algorithm for long short-term memory artificial neural network based on particle swarm optimization. Granular Computing, 8, 1645-1658.
8-Egrioglu, E., & Bas, E. (2023). Robust intuitionistic fuzzy regression functions approaches. Information Sciences, 638, 118992.
9-Egrioglu, E., Grosan, C. & Bas, E. (2023). A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks. Journal of Supercomputing, 79(7), 7286-7304 (SCI)
10-Egrioglu, E., Bas, E., & Karahasan, O. (2023). Winsorized dendritic neuron model artificial neural network and a robust training algorithm with Tukey’s biweight loss function based on particle swarm optimization. Granular Computing, 8(3), 491-501.
11-Bas, E., Egrioglu, E., Yolcu, U., & Chen, M. Y. (2023). A robust learning algorithm based on particle swarm optimization for Pi-Sigma artificial neural networks. Big Data, 11(2), 105-116.
12-Egrioglu, E., Bas, E., Cansu, T., & Kara, M. A. (2023). A new nonlinear causality test based on single multiplicative neuron model artificial neural network: a case study for Turkey’s macroeconomic indicators. Granular Computing, 8(2), 391-396.
13-Gul, H. H., Egrioglu, E., & Bas, E. (2023). Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm. Information Sciences, 629, 398-412.
14- Sarıkaya, C., Bas, E., & Egrioglu, E. (2023). Training Sigma-Pi neural networks with the grey wolf optimization algorithm. Granular Computing, 8, 981-989.
15-Kocak, C., Egrioglu, E., & Bas, E. (2023). A new explainable robust high-order intuitionistic fuzzy time-series method. Soft Computing, 27(3), 1783-1796.
16-Egrioglu, E., & Bas, E. (2023). A new hybrid recurrent artificial neural network for time series forecasting. Neural Computing and Applications, 35(3), 2855-2865.
17-Egrioglu, E., & Bas, E. (2023). Modified Pi sigma artificial neural networks for forecasting. Granular Computing, 8(1), 131-135.
18-Bas, E., Egrioglu, E., & Tunc, T. (2023). Multivariate picture fuzzy time series: new definitions and a new forecasting method based on Pi-Sigma artificial neural network. Computational Economics, 61(1), 139-164.
19-Bas, E., & Egrioglu, E. (2023). A new recurrent pi sigma artificial neural network inspired by exponential smoothing feedback mechanism. Journal of Forecasting, 79(7), 7286-7304.
20-Chen CC, Hung PCK, Egrioglu E., Chiu DKW, Ho KKW, Guest editorial: Contemporary learning behaviors on mobile devices and social media, Library Hi Tech 41 (5), 1265-1274.

21- Hasan Huseyin Gul (2023) Parameter estimation of the Lomax distribution using genetic algorithm based on the ranked set samples, Enterprise Information Systems, 17:9, DOI: 10.1080/17517575.2023.2193153.