66. Bas E., Egrioglu E., Multivariate picture fuzzy time series: definitions and a forecasting method based on pi-sigma artificial neural networks, 9th International Conference on Engineering & Natural Sciences, Ankara, Turkey, Book Page: 40, 13-15 November 2020.

65. Bas E., Egrioglu E., A new recurrent dendritic neuron model artificial neural network for time series forecasting, 9th International Conference on Engineering & Natural Sciences, Ankara, Turkey, Book Page: 39, 13-15 November 2020.

64. Egrioglu E., Bas E., A new automatic forecasting method based on single multiplicative neuron model artificial neural networks, 9th International Conference on Engineering & Natural Sciences, Ankara, Turkey, Book Page: 38, 13-15 November 2020.

63. Egrioglu E., Fildes R., Bas E., Recurrent fuzzy time series functions approaches for forecasting, 9th International Conference on Engineering & Natural Sciences, Ankara, Turkey, Book Page: 37, 13-15 November 2020.

62. Cagcag Yolcu O., Egrioglu E., Bas E., Yolcu U., Multivariate intuitionistic fuzzy inference system for time series prediction, 11. International Statistics Congress, Muğla/Turkey, Book Page: 128, 04-08 October 2019.

61. Kocak C., Egrioglu E., Bas E., Deep intuitionistic fuzzy time series forecasting method based on long short term memory, 11. International Statistics Congress, Muğla/Turkey, Book Page: 70, 04-08 October 2019.

60. Yolcu U., Bas E., Egrioglu E., Cagcag Yolcu O., A novel time series forecasting model based on single-valued neutrosophic sets, 11. International Statistics Congress, Muğla/Turkey, Book Page: 69, 04-08 October 2019.

59. Yıldırım A.N., Bas E., Egrioglu E., Multiplicative neuron model based on threshold value for forecasting problem of time series, 11. International Statistics Congress, Muğla/Turkey, Book Page: 68, 04-08 October 2019.

58. Dalar A.Z., Yolcu U., Bas E., Egrioglu E., Definitions and a forecasting method for single-valued neutrosophic time series, 39th International Symposium on Forecasting, Thessaloniki/ Greece, Book Page: 69, 16-19 June 2019.

57. Yolcu U., Bas E., Egrioglu E., Cagcag Yolcu O., Single-valued neutrosophic inference system for time series forecasting based on ridge regression and particle swarm optimization, 39th International Symposium on Forecasting, Thessaloniki/ Greece, Book Page: 69, 16-19 June 2019.

56. Bas E., Yolcu U., Egrioglu E., Picture fuzzy inference system for forecasting time series based on ridge regression and genetic algorithm, 39th International Symposium on Forecasting, Thessaloniki/ Greece, Book Page: 69, 16-19 June 2019.

55. Egrioglu E., Bas E., Yolcu U., Picture fuzzy time series definitions and a forecasting method to forecast to picture fuzzy time series, 39th International Symposium on Forecasting, Thessaloniki/ Greece, Book Page: 69, 16-19 June 2019.

54. Kocak, C., Egrioglu E., Bas E., Yolcu U., A new intuitionistic high order fuzzy time series method based on robust regression, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 170, 03-07 October 2018.

53. Yolcu U., Egrioglu E., Bas E., Cagcag Yolcu O., An intuitionistic fuzzy time series prediction method based on Sigma-Pi neural network, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 398-407, 03-07 October 2018.

52. Tak, T., Egrioglu E., Bas E., Yolcu U., Combination of forecasting methods based on Fuzzy C-Means clustering, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 123, 03-07 October 2018.

51. Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., The use of some loss functions in fuzzy time series forecasting problem, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 968-979, 03-07 October 2018.

50. Bas E., Egrioglu E., Yolcu U., Fuzzy regression function approach based on moving block bootstrap method, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 653-663, 03-07 October 2018.

49. Bas E., Egrioglu E., Yolcu U., Bootstrapped Holt method with autoregressive coefficients based on harmony search algorithm, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 170, 28-30 April 2018.

48. Kocak C., Egrioglu E., Bas E., Yolcu U., Intuitionistic high order fuzzy time series method based on regression and principal component analysis, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 166, 28-30 April 2018.

47. Yolcu U., Bas E., Egrioglu E., Cagcag Yolcu O., An intuitionistic fuzzy time series forecasting model based on bat algorithm, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 165, 28-30 April 2018.

46. Cagcag Yolcu O., Egrioglu E., Bas E., Yolcu U., Bootstraped fuzzy time series model based on particle swarm optimization, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 164, 28-30 April 2018.

45. Egrioglu E., Yolcu U., Bas E., Dalar A.Z., Bagged Pi-Sigma artificial neural networks with artificial bee colony algorithm for forecasting, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page:85, 28-30 April 2018.

44. Yolcu U., Egrioglu E., Bas E., Winsorized Mean-Pi artificial neural network based on robust learning for time series forecasting, 13th German Probability and Statistics Days 2018, Freiburg/Germany, Book Page: 161-162, 27 February-02 March 2018.

43. Egrioglu E., Yolcu U., Bas E., Cagcag Yolcu O., Dalar A.Z., Bootstrapped linear and nonlinear artificial neural network for time series forecasting, 13th German Probability and Statistics Days 2018, Freiburg/Germany, Book Page: 152, 27 February-02 March 2018.

42. Bas E., Egrioglu E., Yolcu U., Dalar A.Z., Intuitionistic fuzzy regression functions approach for forecasting, 13th German Probability and Statistics Days 2018, Freiburg/Germany, Book Page: 149, 27 February-02 March 2018.

41. Bas E., Egrioglu E., Yolcu U., A new hybrid method for the training of multiplicative neuron model artificial neural networks, 10th International Statistics Congress, Ankara/Turkey, Book Page: 95, 06-08 December 2017.

40. Egrioglu E., Yolcu U., Bas E., A new intuitionistic high order fuzzy time series method, 10th International Statistics Congress, Ankara/Turkey, Book Page: 87, 06-08 December 2017.

39. Yolcu U., Egrioglu E., Bas E., A novel Holt’s method with seasonal component based on particle swarm optimization, 10th International Statistics Congress, Ankara/Turkey, Book Page: 86, 06-08 December 2017.

38. Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., An application of single multiplicative neuron model artificial neural network with adaptive weights and biases based on autoregressive structure, 10th International Statistics Congress, Ankara/Turkey, Book Page: 85, 06-08 December 2017.

37. Dalar A.Z., Bas E., Egrioglu E., Yolcu U., Cagcag Yolcu O., Recurrent fuzzy regression functions approach based on IID innovations bootstrap with rejection sampling, 10th International Statistics Congress, Ankara/Turkey, Book Page: 10, 06-08 December 2017.

36. Cagcag Yolcu O., Egrioglu E., Bas E., Kocak C., Yolcu U., A new intuitionistic fuzzy functions approach based on IID bootstrap for time series prediction, I. International Symposium On Economics, Finance and Econometrics, Istanbul/Turkey, Book Page: 74, 21-23 September 2017.

35. Yolcu U., Egrioglu E., Bas E., Dalar A.Z., Cagcag Yolcu O., Robust single multiplicative neuron model artificial neural network with adaptive weights and biases for forecasting, I. International Symposium On Economics, Finance and Econometrics, Istanbul/Turkey, Book Page: 30-31, 21-23 September 2017.

34. Yolcu U., Egrioglu E., Bas E., Dalar A.Z., Cagcag Yolcu O., A multi-component hybrid learning algorithm for multiplicative neuron model artificial neural networks, EUREFE’17, Book Page: 316, Aydın/Turkey, 27-29 July 2017.

33. Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., A new intuitionistic fuzzy functions approach based on hesitation margin for time series prediction, EUREFE’17, Book Page: 314, Aydın/Turkey, 27-29 July 2017.

32. Egrioglu E., Yolcu U., Bas E., Modified Holt method based on particle swarm optimization, EUREFE’17, Book Page: 289, Aydın/Turkey, 27-29 July 2017.

31. Bas E., Egrioglu E., Yolcu U., Parameter estimation in Winters exponential smoothing method with particle swarm optimization, EUREFE’17, Book Page: 287, Aydın/Turkey, 27-29 July 2017.

30. Gundogdu O., Egrioglu E., Yolcu U., Bas E., Dalar A.Z., Bootstrapped robust Pi-Sigma artificial neural network based on robust learning algorithm, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 159, Konya/Turkey, 24-26 May 2017.

29. Kocak C., Egrioglu E., Yolcu U., Bas E., An application of ARMA type high order fuzzy time series forecast method based on fuzzy logic relation tables to TAIEX data, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 158, Konya/Turkey, 24-26 May 2017.

28. Yolcu U., Egrioglu E., Bas E., Dalar A.Z., IID bootstrap approach with rejection sampling for Pi-Sigma artificial neural network, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Konya/Turkey, Book Page: 67, 24-26 May 2017.

27. Dalar A.Z., Bas E., Yolcu U., Egrioglu E., Bagging fuzzy ridge regression functions approach for forecasting, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 66, Konya/Turkey, 24-26 May 2017.

26. Bas E., Egrioglu E., Yolcu U., A robust learning algorithm for Pi-Sigma artificial neural networks based on M-Estimator, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 65, Konya/Turkey, 24-26 May 2017.

25. Cagcag Yolcu O., Bas E., Yolcu U., Egrioglu E., A new intuitionistic time series fuzzy inference system, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 64, Konya/Turkey, 24-26 May 2017.

24. Egrioglu E., Yolcu U., Bas E., Dalar A.Z., A Hybrid forecasting method based on exponential smoothing and multiplicative neuron model artificial neural network, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 63, Konya/Turkey, 24-26 May 2017.

23. Bas E., A robust learning algorithm based on modified genetic algorithm for multiplicative neuron model neural networks, Xth International Statistics Days Conference (ISDC’2016), Book Page: 839-846, Giresun/ Turkey, 07-09 October 2016.

22. Uslu V.R., Kucukmustafa A.Z., Bas E., Genetik algoritmaya dayalı dayanıklı regresyon yaklaşımları, Xth International Statistics Days Conference (ISDC’2016), Book Page: 392-404, Giresun/ Turkey, 07-09 October 2016.

21. Kocak C., Dalar A.Z., Cagcag Yolcu O., Bas E., Egrioglu, E., A new fuzzy time series algorithm based on recurrent Pi-Sigma artificial neural network, International Conference on Trends and Perspectives in Linear Statistical Inference (LINSTAT’2016), Book Page: 49, Istanbul/ Turkey, 22-25 August 2016.

20. Egrioglu E., Dalar A.Z., Yolcu U., Bas E., Median-Pi artificial neural network for forecasting, International Conference on Trends and Perspectives in Linear Statistical Inference (LINSTAT’2016), Book Page: 37, Istanbul/ Turkey, 22-25 August 2016.

19. Dalar A.Z., Yolcu U., Bas E., Egrioglu E., Bootstrap fuzzy functions for time series forecasting; Application of Borsa Istanbul, 17th International Symposium on Econometrics, Operations Research and Statistics, Book Page: 362-363, Sivas /Turkey, 02-04 June 2016.

18. Egrioglu E., Yolcu U., Cagcag Yolcu O., Bas E., A new dynamic weight neural network for BIST 100 modelling, I. International Black Sea Business Administration Symposium, Book Page: 602-611, Giresun/Turkey, 16-18 May 2016.

17. Bas E., Egrioglu E., Cagcag Yolcu O., Yolcu U., A hybrid approach for robust training of single multiplicative neuron model artificial neural networks, I. International Black Sea Business Administration Symposium, Book Page: 471-480, Giresun/Turkey, 16-18 May 2016.

16. Bas E., Egrioglu E., Yolcu U., Type 1 fuzzy function approach based on ridge regression for forecasting of time series, 12th German Probability and Statistics Days 2016 (GPSD 2016), Book Page: 188, Bochum/Germany, 01-04 March 2016.

15. Bas E., Egrioglu E., Yolcu U., A new probabilistic fuzzy inference system for time series forecasting, 12th German Probability and Statistics Days 2016 (GPSD 2016), Book Page: 118, Bochum/Germany, 01-04 March 2016.

14. Egrioglu E., Bas E., Aladag C.H., Yolcu U., A new probabilistic fuzzy time series method, The 4th International Fuzzy Systems Symposium (FUZZYSS’2015), Book Page: 227-231, Istanbul/Turkey, 5-6 November 2015.

13. Bas E., Egrioglu E., Aladag C.H., Yolcu U., A fuzzy time series network for forecasting, International Work Conference on Time Series (ITISE 2015), Book Page: 541, Granada/Spain, 1-3 July 2015.

12. Yolcu U., Aladag C.H., Bas E., Egrioglu E., A Hybrid multivariate fuzzy time series method based on Gustafson-Kessel fuzzy clustering technique and artificial neural network, International Journal Of Arts & Science; Annual Multidisciplinary Conference, Paris/France, Book Page: 193, Paris/France, 13-16 April 2015.

11. Cagcag Yolcu O., Bas E., A robust algorithm for training of multiplicative neuron model artificial neural networks, International Journal Of Arts & Science; Annual Multidisciplinary Conference, Paris/France, Book Page: 189, Paris/France, 13-16 April 2015.

10. Yolcu U., Bas E., The Forecasting of labour force participation and unemployment rate in poland and turkey with fuzzy time series methods, Economy Today, Interdisciplinary Approach To Contemporary Economic Challenges, Lodz/Poland, 12-13 March 2015.

9. Cagcag Yolcu O., Bas E., Egrioglu E., A new artificial neural network model based on trimmed multiplicative neuron model to determine fuzzy relations, 2nd Global Conference On Computer Science, Software, Networks And Engineering, Book Page: 10, Izmir-Kusadası/Turkey, 06-08 November 2014.

8. Bas E., Yolcu U., Egrioglu E., Cagcag Yolcu O., The training of artificial neural networks with multiplicative neuron model based on differential evolution algorithm for forecasting, 2nd Global Conference on Computer Science, Software, Networks And Engineering, Book Page: 18, Izmir-Kusadası/Turkey, 06-08 November 2014.

7. Uslu V.R., Bas E., Egrioglu E., A new method to find the optimal values of the shrinkage parameters in ridge regression, International Conference For Academic Disciplines, Vienna/Austria, 6-10 April 2014.

6. Bas E., Uslu V.R., Yolcu U., Egrioglu E., A fuzzy time series approach based on differential evolution algorithm using De/Best/1 mutation strategy, 8. Statistical Congress, Book Page: 172-173, Antalya/Turkey, 27-30 October 2013.

5. Uslu V.R., Egrioglu E., Bas E., Finding optimal value for the shrinkage parameter in ridge regression via particle swarm optimization, XIVth International Symposium On Econometrics - Operations Research And Statistics, Book Page: 336, Sarajevo/Bosnia and Herzegovina, 24-28 May 2013.

4. Egrioglu E., Yolcu U., Aladag C.H., Bas E., Recurrent multiplicative neuron model artificial neural network for Non-Linear time series forecasting, 2nd World Conference On Business, Economics & Management, Antalya/Turkey, 25-28 April 2013.

3. Uslu V.R., Bas E., Yolcu U., Egrioglu E., A fuzzy time series approach with differential evolution algorithm, 8th International Symposium of Statistics, Book Page: 66-67, Eskisehir/Turkey, 11-13 November 2012.

2. Uslu V.R., Bas E., Yolcu U., Egrioglu E., A new fuzzy time series analysis approach by using differential evolutionary algorithm and chronologically-determined weights, The 6th International Conference On Applied Statistics, Bucharest/Romania, 16-17 November 2012.

1. Uslu V.R., Bas E., Yolcu U., Egrioglu E., Genetik Algoritmaya Dayalı Yeni Bir Bulanık Zaman Serisi Yaklaşımı, International 7. Statistical Congress Proceeding Book, Page: 100-101, Antalya, Turkey, 2011.