Academic Publications:

A. Journal Publications:

• [1] A. Gasi, M. Dagtekin, and T. Ensari, "Ontology Supported Semantic Based Image Retrieval," Research Square, 2023 [In press].
• [2] Z. Cavdar, T. Ensari, L. T. Sener, A. Sertbas, "MicroRNA Target Prediction by Machine Learning-based Microarray Technique: Research Study," European Journal of Science and Technology, Issue 44, pp 39-45, 2022.
• [3] B. Asiroglu, S. Senan, P. Gorgel, M. E. Isenkul, T. Ensari, A. Sezen, M. Dagtekin, A Deep Learning-based Object Detection System for User Interface Code Generation, International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Ankara, Turkey, June 9-11, 2022.
• [4] E. A. Bayrak, P. Kirci, T. Ensari, E. Seven, and M. Dagtekin, Diagnosing Breast Cancer Using Machine Learning Methods, Journal of Intelligent Systems: Theory and Applications, vol. 5, no. 1, pp. 35-41, 2022.
• [5] M. Amrane, S. Oukid, and T. Ensari, Molecules Generation to Inhibit Covid-19 Disease Using Encoder-Decoder LSTM Architecture and PCA Properties, Journal of Mechanics in Medicine and Biology, vol. 23, no. 1, 2023.
• [6] E. Yildiz, T. Ensari, L. T. Sener, J. Zurada, Combined Gaussian Mixture Model to Analysis Flow Cytometry Data, Journal of Cytometry: Part A [Under review].
• [7] O. S. Sonmez, M. Dagtekin, and T. Ensari, Gene Expression Data Classification Using Genetic Algorithm based Feature Selection, Turkish Journal of Electrical Engineering and Computer Sciences, vol. 29, no. 7, 2021.
• [8] A. Gasi, T. Ensari, and M. Dagtekin, Semantic-based Image Retrieval-A Survey, Journal of Acta-Infologica/Istanbul University, vol. 5, no. 2, 2021.
• [9] M. Kazanc, T. Ensari, and M. Dagtekin, Filtering Videos by Classification with Deep Learning, IEEE International Congress on Human- Computer Interaction, European Journal of Science and Technology, European Journal of Science and Technology, vol. 26, pp 338-342, Optimization, and Robotics Applications, Turkey, June, 2021.
• [10] M. Dağtekin, E. Seven, A. E. Balsever, E. N. Var, L. T. Şener, A. N. Alçalar, B. Ensari, T. Ensari, “Post-Traumatic Stress Disorder (PTSD) Management: A Machine Learning Approach”, European Journal of Science & Technology, Special Issue, pp. 284-288, August 2020.
• [11] T. Ensari, D. C. Armah, A. E. Balsever, M. Dağtekin, “Convolutional Neural Networks for Image-Based Digital Plant Phenotyping”, European Journal of Science & Technology, Special Issue, pp. 338-342, August 2020.
• [12] Ö. Aktaş, E. Doğan, T. Ensari, CRISPR/CAS9 Target Prediction with Deep Learning, Biomedical Journal of Sci&Tech Res, vol. 21, no. 5, Oct 2019.
• [13] Aydındağ Bayrak E., Kırcı P., Ensari T., Performance Analysis of Machine Learning Algorithms and Feature Selection Methods on Hepatitis Disease, International Journal of Multidisciplinary Studies and Innovative Technologies, vol. 3, no. 2, pp.135-138, 2019.
• [14] [Invited Paper] M. Günay, T. Ensari, "New Approach for Predictive Churn Analysis in Telecom", Transactions on Communications, vol. 18, pp. 66-70, March 2019.
• [15] M. Yankayis, T. Ensari, Performance Evaluation of Feature Extraction Modeling Methods for Speaker Recognition, Journal of Annals of Review and Research, vol. 4, no. 3, pp. 1-11, November 2018.
• [16] M. A. Hazar, N. Odabasioglu, T. Ensari, Y. Kavurucu, O. F. Sayan, “Performance Analysis and Improvement of Machine Learning Algorithms for Automatic Modulation Recognition Over Rayleigh Fading Channels", Neural Computing and Applications, vol. 29, issue 9, pp. 351-360, May 2018.
• [17] T. Ensari, “Pattern Recognition from Face Images", International Journal of Naval Science and Engineering, vol. 13, No. 2, pp. 14-20, November 2017.
• [18] E. Yıldız, T. Ensari, “Gender Classification from Face Images", International Journal of Naval Science and Engineering, Vol. 13, No. 1, pp. 31-42, April 2017.
• [19] Y. Kavurucu, T. Ensari, “Smart Home System Hardware and Software Design", International Journal of Naval Science and Engineering, Vol. 12, No. 2, pp. 40-47, December 2016.
• [20] T. Ensari, “Character Recognition Analysis with Nonnegative Matrix Factorization", International Journal of Computers, Vol. 1, pp. 217-220, September 2016.
• [21] T. Ensari, "Machine Learning", Information Technologies Magazine, No. 10, pp. 9-10, July 2014.
• [22] T. Ensari, S. Arik, “New results for robust stability of dynamical neural networks with discrete time delays”, Expert Systems with Applications: An International Journal 37(8): 5925-5930, 2010.
• [23] T. Ensari, S. Arik, “Global Robust Exponential Stability of Neural Networks with Multiple Time Varying Delays”, Dynamics of Continuous, Discrete and Impulsive Systems, Series A: Mathematical Analysis, Supplementary, Special Issue on Advances in Neural Networks – Theory and Applications, Part I, Vol.14 (S1) pp 6-12, August 2007.
• [24] T. Ensari, S. Arik, “Global Stability Analysis of Neural Networks with Multiple Time Varying Delays”, IEEE Transactions on Automatic Control, Vol. 50, No. 11, pp. 1781-1785, November 2005.
• [25] T. Ensari, S. Arik, “Global Stability of A Class of Neural Networks With Time Varying Delay”, IEEE Transactions on Circuits and Systems - II - Express Briefs, Vol. 52, No: 3, pp. 126-130, March 2005.

B. Conference Publications:

• [1] M. Rahaman, R. Ghosh, I. Dutta, T. Ensari, and R. Cunningham, "Enhancing the Programming Sequence for Undergraduate Computer Science Students: A Program for Improving Learning Outcomes," International Congress on Human-Computer Interaction Optimization, and Robotic Applications (HORA), Istanbul, Turkey, June 8-10, 2023.
• [2] A. Zencirli, H. Cetin, N. Tug, and T. Ensari, "Improved Next Item Recommendation for Long Tail Products with Machine Learning," International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Ankara, Turkey, June 9-11, 2022.
• [3] B. Asiroglu, S. Senan, P. Gorgel, M. E. Isenkul, T. Ensari, A. Sezen, M. Dagtekin, "A Deep Learning-based Object Detection System for User Interface Code Generation," International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Ankara, Turkey, June 9-11, 2022.
• [4] A. Zencirli, H. Cetin, N. Tug, and T. Ensari, “Deep Learning Classification of Location Oriented Recommendation System for Low-Sale Products,” IEEE International Congress on Human-Computer Interaction, Optimization, and Robotics Applications, Turkey, June 11-13, 2021.
• [5] E. Yıldız, T. Ensari, L. Türker Şener, “Flow Cytometry Data Analysis with Machine Learning,” IEEE 28th International Signal Processing and Communications Applications Conference (SIU), Gaziantep, Turkey, Oct 5-7, 2020.
• [6] S. Aykat, S. Senan, T. Ensari, “Classification of Epileptic and Healthy Individual EEG Signals Using Neural Networks,” International Conference on Computer Science and Engineering (UBMK), pp 47-51, September 9, 2020.
• [7] E. Zigh, A. Elhoucine, A. Malle, M. Kadiri, B. Kouninef, T. Ensari, “Smartphone Learning for Kids Edutainment,” International Conference on Networking, Information Systems & Security (NISS), March 31-April 2, 2020.
• [8] B. R. Mete, T. Ensari, “Flower Classification with Deep Convolutional Neural Networks and Machine Learning Algorithms,” IEEE International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, October 11-13, 2019.
• [9] B. Aşıroğlu, M. İ. Atalay, A. Balkaya, E. Tüzünkan, M. Dağtekin, T. Ensari, “Smart Clothing Recommendation System with Deep Learning,” IEEE International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, October 11-13, 2019.
• [10] G. Pirana, A. Sertbaş, T. Ensari, “Sentence Classification with Deep Learning Method for Virtual Assistant Applications,” IEEE International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, October 11-13, 2019.
• [11] T. Ensari, L. T. Şener, D. Bozkaya, B. Aşıroğlu, “Medical Data Analysis with Machine Learning Methods,” International Physics Congress, Mugla, Turkey, September 4-8, 2019.
• [12] A. Zencirli, N. Tuğ, T. Ensari, “Smart Decision Support System for E-Commerce Platforms Order Management”, International Conference on Computational Methods in Applied Sciences (ICCMAS), Istanbul Gelişim University, Istanbul, Turkey, July 12-16, 2019.
• [13] A. Tektaş, M. Uçar, B. Akçal, T. Ensari, R. Dağdelen, D. Tımartaş, “Anomaly Detection from Sensor Data for Smart Manufacturing and Monitoring”, International Conference on Computational Methods in Applied Sciences (ICCMAS), Istanbul Gelişim University, Istanbul, Turkey, July 12-16, 2019.
• [14] Ö. A. Özbek, L. Kutlucan, H. Balamur, T. Ensari, “Location Prediction with Machine Learning on Location based Social Networks”, International Conference on Computational Methods in Applied Sciences (ICCMAS), Istanbul Gelişim University, Istanbul, Turkey, July 12-16, 2019.
• [15] B. Aşıroğlu, B. R. Mete, E. Yıldız, Y. Nalçakan, A. Sezen, M. Dağtekin, T. Ensari, "Automatic HTML Code Generation from Mock-up Images via Machine Learning Techniques", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [16] E. Doğan, Ö. Aktaş, T. Ensari, "T. CRISPR/CAS9 Target Prediction with Deep Learning", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [17] M. Günay, Z. Orman, T. Ensari, S. Oukid, N. Benblidia, "Diagnosis of Lung Cancer Using Artificial Immune System", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [18] M. Amrane, S. Oukid, T. Ensari, N. Benblidia, Z. Orman, "Microarray Lung Cancer Data Classification Using Similarity based Feature Selection", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [19] H. Kaya, İ. Keklik, T. Ensari, F. Alkan, Y. Biricik, "Oak Leaf Classification: An Analysis of Features and Classifiers", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [20] M. Amrane, S. Oukid, T. Ensari, "Using Forward / Backword Decision Trees on GSM441161 and GSE32863 Microarray Data", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [21] U. Apaydin, S. Bagriyanik, A. Karahoca, M. Aktas, T. Ensari, S. Verdi, A. Tosun, H. Dogan, “Big Data Analysis on Software Engineering: MEASURE and WEKA”, National Software Engineering Symposium, Izmir, Turkey, September 23-25, 2019.
• [22] E. A. Bayrak, P. Kırcı, T. Ensari, "Comparison of Machine Learning Methods for Breast Cancer Diagnosis", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings'(EBBT), Arel University, Istanbul, Turkey, April 24-26, 2019.
• [23] M. Günay, E. Yıldız, Y. Nalçakan, B. Aşıroğlu, A. Zencirli, B. R. Mete, T. Ensari, "Digital Data Forgetting: A Machine Learning Approach", IEEE International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, October 19-21, 2018.
• [24] Y. Nalçakan, T. Ensari, "Decision of Neural Networks Hyperparameters with a Population-based Algorithm", International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy, September 13-16, 2018.
• [25] M. Günay, T. Ensari, "Predictive Churn Analysis with Machine Learning Methods", IEEE 26th International Signal Processing and Communications Applications Conference (SIU), Cesme, Izmir, Turkey, May 2-5, 2018.
• [26] M. Günay, T. Ensari, "EEG Signal Analysis of Patients with Epilepsy Disorder Using Machine Learning Techniques", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings' (EBBT), Arel University, Istanbul, Turkey, April 18-19, 2018.
• [27] F. M. Tekcan, T. Ensari, A. Sertbas, "Hyperspectral Image Classification with Spectral-Spatial Feature Extraction Methods", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineering' (EBBT), Arel University, Istanbul, Turkey, April 18-19, 2018.
• [28] M. Amrane, S. Oukid, I. Gagaoua, T. Ensari, "Breast Cancer Classification Using Machine Learning", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineering' (EBBT), Arel University, Istanbul, Turkey, April 18-19, 2018.
• [29] S. Turgut, M. Dagtekin, T. Ensari, "Microarray Breast Cancer Data Classification Using Machine Learning Methods", IEEE International Conference on Electric Electronics, Computer Science, Biomedical Engineerings' (EBBT), Arel University, Istanbul, Turkey, April 18-19, 2018.
• [30] A. Aydın, A. Sertbaş, T. Ensari, "Classification of MicroRNA Biogene Sequences with Machine Learning", International Symposium on Graduate Research in Science: Entrepreneurship and Innovation (ISGRS), Istanbul, Turkey, October 4-6, 2018.
• [31] E. Aydındağ Bayrak, Ş. İ. Kirbaslar, P. Kirci, T. Ensari, "Breast Cancer Classification with Machine Learning", International Symposium on Graduate Research in Science: Entrepreneurship and Innovation (ISGRS), Istanbul, Turkey, October 4-6, 2018.
• [32] M. Gunay, T. Ensari, "Diabet Diagnosis with Machine Learning", International Conference on Artificial Intelligence and Soft Computing, Amsterdam, Holland, August 9-10, 2017.
• [33] M. Günay, T. Ensari, "Comparison of Face Recognition Algorithms", IEEE 25th International Signal Processing and Communications Applications Conference (SIU'2017), Antalya, Turkey, May 15-18, 2017.
• [34] M. Bilgin, T. Ensari, "Robot Localization with Monte Carlo Method", IEEE International Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), Arel University, Istanbul, Turkey, April 20-21, 2017.
• [35] M. Salih KURT, T. Ensari, "Diabet Diagnosis with Support Vector Machine and Multilayer Perceptrons", IEEE International Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), Arel University, Istanbul, Turkey, April 20-21, 2017.
• [36] Y. Kavurucu, T. Ensari, "Predictive Cruise Control", IEEE International Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), Arel University, Istanbul, Turkey, April 20-21, 2017.
• [37] [Invited Paper] T. Ensari, "Character Recognition Analysis with Nonnegative Matrix Factorization", International Conference on Mathematical Models for Engineering Science, Dubrovnik, Croatia, September 28-30, 2016.
• [38] D. Celik, T. Ensari and A. Sertbas, "Smart Advertisement and Survey Analysis with Data Mining", International Conference on Computer Science and Engineering, Namik Kemal University, Tekirdag, Turkey, October 20-23, 2016.
• [39] Y. Kavurucu, T. Ensari, "Using Teensy in Intranet and Internet Media", International Conference on Computer Science and Engineering, Namik Kemal University, Tekirdag, Turkey, October 20-23, 2016.
• [40] Y. Kavurucu, A. Mutlu, T. Ensari, "Graph-based Concept Discovery in Multi Relational Data", International Conference on Cloud System and Big Data Engineering, Noida, India, January 14-15, 2016.
• [41] M. A. Hazar, N. Odabasioglu, T. Ensari, and Y. Kavurucu, "Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition", International Conference on Neural Information Processing (ICONIP), Istanbul, Turkey, November 9-12, 2015.
• [42] C. Tiken, T. Ensari, "Deep Learning for Edge Detection", International Symposium on Innovative Technologies in Engineering and Science (ISITES), Valencia, Spain, June 3-5, 2015.
• [43] C. Uzunoglu, T. Ensari, Y. Kavurucu, "Hadoop Ecosystem and Its Analysis on Tweets", World Congress Technology, Innovation and Entrepreneurship, Istanbul, Turkey, May 28-30, 2015.
• [44] M. M. Tiryaki, A. Sertbas, T. Ensari, "Passenger Notification System for Intelligent Transportation", International Smart Grid Congress and Fair, Istanbul, Turkey, April 29-30, 2015.
• [45] D. Celik, T. Ensari, A. Sertbas, “Smart Advertisement Application Using Nonnegative Matrix Factorization", Scientific Congress on Electrical-Electronics, Computer and Biomedical Engineering, Arel University, Istanbul, May 26-28, 2014.
• [46] M. Kaya, O. Bektas, T. Ensari, “Breast Cancer Diagnosis Using Nonnegative Matrix Factorization", Scientific Congress on Electrical-Electronics, Computer and Biomedical Engineering, Arel University, Istanbul, May 26-28, 2014.
• [47] J. M. Zurada, T. Ensari, E. H. Asl, J. Chorowski, "Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining", Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 11-16, vol.8, Issue 11, Krakow, Poland, September 8-11, 2013.
• [48] T. Ensari, J. Chorowski, J. M. Zurada, “Correntropy-based Document Clustering via Nonnegative Matrix Factorization”, International Conference on Artificial Neural Networks (ICANN), vol. 7553, pp. 347-354, Lausanne, Switzerland, September 11-14, 2012.
• [49] T. Ensari, J. Chorowski, J. M. Zurada, “Occluded Face Recognition Using Correntropy-based Nonnegative Matrix Factorization”, International Conference on Machine Learning and Applications (ICMLA), vol.1, pp. 606-609, Boca Raton, Florida, USA, December 12-15, 2012.
• [50] T. Ensari, M.Erkan Yüksel, “Convergence Analysis of Hopfield Neural Networks”, 6th International Advanced Technologies Symposium (IATS), Elazığ, Turkey, May 16-18, 2011.
• [51] T. Ensari, S. Arik, "Global Exponential Stability of Neural Networks with Multiple Time Varying Delays", Fifteenth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN), Akyaka (Gokova), Mugla, Turkey, June 21-24, 2006.
• [52] T. Ensari, S. Arik, "Stability Analysis of Neural Networks with Multiple Time Varying Delays", Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN), Cesme, Izmir, Turkey, June 16-17, 2005.
• [53] T. Ensari, S. Arik, “Global Asymptotical Stability of Neural Networks with Time Varying Delay”, International Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN), Foca, Izmir, Turkey, June 10-11, 2004.
• [54] T. Ensari, S. Arik, “Global Stability of A Class of Neural Networks With Time Varying Delay”, IEEE International Symposium on Circuits and Systems (ISCAS), Vancouver, Canada, May 23-26, 2004.
• [55] S. Kent, O. N. Ucan, T. Ensari, “Speckle Reduction of Synthetic Aperture Radar Images Using Wavelet Filtering”, European Conference on Synthetic Aperture Radar (EUSAR), Ulm, Germany, May 25-27, 2004.
• [56] S. Kent, O. N. Ucan, T. Ensari, “Implementation of Cellular Neural Networks to Synthetic Aperture Radar Images”, European Conference on Synthetic Aperture Radar (EUSAR), Ulm, Germany, May 25-27, 2004.
• [57] S. Kent, O. N. Ucan, T. Ensari, “Synthetic Aperture Radar Image Processing Using Cellular Neural Networks”, International Conference on Recent Advances in Space Technologies (RAST), Air Force Academy, Istanbul, Turkey, November 20-22, 2003.
• [58] T. Ensari, O. N. Uçan and A. Karahoca, “Cellular Neural Network Approach in Distributed Database Management Systems”, Engineering Science Young Researchers Congress (MBGAK), Istanbul, Turkey, February 17-20, 2003.
• [59] T. Ensari, N. Kilic, O. N. Ucan and A. Ozmen, “Biomedical Image Processing Using Markov Random Fields and Cellular Neural Networks”, Signal Processing and Communication Applications Conference (SIU), Koc University, Istanbul, Turkey, June 18-20, 2003.