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Doç. Dr. C. Okan Şakar

Bahçeşehir Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi

Bilgisayar Mühendisliği Bölümü

MAKALELER

  1. Gozuacik, N., Sakar, C. O., & Ozcan, S. (2023). Technological forecasting based on estimation of word embedding matrix using LSTM networks. Technological Forecasting and Social Change, 191, 122520.
  2. AYTAN, B., & ŞAKAR, C. O. (2023). Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model. Turkish Journal of Electrical Engineering and Computer Sciences, 31(3), 581-595.
  3. Veranyurt, O., & Sakar, C. O. (2023). Concealed pistol detection from thermal images with deep neural networks. Multimedia Tools and Applications, 1-17.
  4. Ozer, F., & Sakar, C. O. (2022). An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach. Expert Systems with Applications, 200, 117017.
  5. Gozuacik, N., Sakar, C. O., & Ozcan, S. "Social media-based opinion retrieval for product analysis using multi-task deep neural networks" Expert Systems with Applications, doi.org/10.1016/j.eswa.2021.115388, 2021
  6. Ozcan, S., Suloglu, M., Sakar, C. O., & Chatufale, S. "Social media mining for ideation: Identification of sustainable solutions and opinions" Technovation, Doi.org/10.1016/j.technovation.2021.102322, 2021
  7. Ozcan, S., Sakar, C.O., Suloglu, M. "Human Resources Mining for Examination of R&D Progress and Requirements" IEEE Transactions on Engineering Management, DOI:10.1109/TEM.2020.2995538, October 2021
  8. GUMUS, A., & SAKAR, C. O. "Stock Market Prediction by Combining Stock Price Information and Sentiment Analysis." International Journal of Advances in Engineering and Pure Sciences, 33(1), 18-27, 2021
  9. Omerustaoglu, F., Sakar, C. O., & Kar, G. Distracted driver detection by combining in-vehicle and image data using deep learning.  Applied Soft Computing, 96, 106657,2020
  10. Tunc, H. C., Sakar, C. O., Apaydin, H., Serbes, G., Gunduz, A., Tutuncu, M., & Gurgen, F. Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting. Medical & Biological Engineering & Computing, 58(11), 2757-2773, 2020
  11. Sakar, C.O.Polat, S.O., Katircioglu, M., Kastro, Y. "Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks", Neural Computing and Applications, Vol. 31(10), pp. 6893-6908, 2019.
  12. Sakar, C.O., Serbes, G., Gunduz, A., Tunc, H.C., Nizam, H., Sakar, B.E., Tutuncu, M., Aydin, T., Isenkul, M.E. and Apaydin, H. "A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform" Applied Soft Computing., Vol. 74, pp. 255-263, January 2019.
  13. Sakar, C.O. Kursun, O. "Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis", IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol. 28(1), 2017.
  14. Calisan, M., Sakar, C.O. "Classification of Short-Texts by Utilizing an External Knowledge Source" Journal of Science and Engineering, Volume 19, Issue 57, September 2017
  15. Sakar, B.E., Serbes, G., Sakar, C.O. "Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease", PlosOne, DOI: 10.1371/journal.pone.0182428, August, 2017.
  16. Cevik, N., Sakar, C.O., Kursun, O. "Analysis of shared miRNAs of different species using ensemble CCA and genetic distance", Computers in Biology and Medicine, vol. 64, pp. 261–267, 2015.
  17. Sakar, C.O., Kursun, O., Seker, H., Gurgen, F., Aydin, N., Favorov, O., "Combining Multiple Views: Case Studies on Protein and Arrhythmia Features", Engineering Applications of Artificial Intelligence, vol. 28, pp. 174–180, 2014.
  18. Sakar, C.O., Kursun, O., Gurgen, F., "Ensemble Canonical Correlation Analysis", Applied Intelligence, vol. 40(2), pp. 291-304, 2014.
  19. Sakar, C.O., Kursun, O., Seker, H., Gurgen, F., "Combining Multiple Clusterings for Protein Structure Prediction", International Journal of Data Mining and Bioinformatics, vol. 10(2), pp. 162-174, 2014.
  20. Erdogdu Sakar, B., Isenkul, M., Sakar, C.O., Sertbas, A., Gurgen, F., Delil, S., Apaydin, H., Kursun, O., "Collection and Analysis of a Parkinson Speech Dataset with Multiple Types of Sound Recordings", IEEE Journal of Biomedical and Health Informatics, vol. 17(4), pp. 828-834, 2013.
  21. Serbes, G., Sakar, C.O., Kahya, Y., Aydin, N., "Pulmonary crackle detection using time–frequency and time–scale analysis", Digital Signal Processing, vol. 23(3), pp. 1012-1021, 2013.
  22. Sakar, C.O., Kursun, O., Gurgen F., “A Feature Selection Method Based on Kernel Canonical Correlation Analysis and the Minimum Redundancy Maximum Relevance Filter Method”, Expert Sytems with Applications, vol. 39(3), pp. 3333-3344, 2012.
  23. Sakar, C.O., Kursun, O., “A Method for Combining Mutual Information and Canonical Correlation Analysis: Predictive Mutual Information and Its Use in Feature Selection”, Expert Sytems with Applications, vol. 39(3), pp. 3432-3437, 2012.
  24. Sakar, C.O., Demir, G., Kursun O., OZDEMIR, H., Altay, G., Yalcin, S., “Feature Selection for the Prediction of Tropospheric Ozone Concentration Using a Wrapper Method”, Intelligent Automation and Soft Computing, vol. 17(4), pp. 403-413, 2011.
  25. Kursun, O., Sakar, C.O., Favorov, O., Aydin, N., Gurgen F., “Using Covariates for Improving the Minimum Redundancy Maximum Relevance Feature Selection Method”, Turkish Journal of Electrical Engineering & Computer Sciences, vol. 18, pp. 989-1002, 2010.
  26. Sakar, C.O., Kursun, O., Ozdemir, H., Demir, G., Yalcin, “Identifying Effective Variables Using Mutual Information and Building Predictive Models of Sulfur Dioxide Concentration with Support Vector Machines”, Ekoloji, vol. 19(76), pp. 102-112, 2010.
  27. Sakar, C.O., Kursun, O., "Telediagnosis of Parkinson’s Disease Using Measurements of Dysphonia", Journal of Medical Systems, vol. 34(4), pp. 591-599, 2010.
  28. Demir, G., Altay, G., Sakar, C.O., Albayrak, S., Ozdemir H., Yalcin, S., "Prediction and Evaluation of Tropospheric Ozone Concentration in Istanbul Using Artifical Neural Network Modeling According to Time Parameter", Journal of Scientific and Industrial Research, vol. 67(9), pp. 674-679, 2008.

KONFERANS BİLDİRİLERİ

  1. Kaledibi, F., Kilinc, H. H., & Sakar, C. O. (2022, September). Quality of Experience Prediction for VoIP Calls Using Audio MFCCs and Multilayer Perceptron. In 2022 7th International Conference on Computer Science and Engineering (UBMK) (pp. 300-304). IEEE.
  2. Gozuacik, N., Serbes, G., Kara, E., Atas, E., Sakar, C. O., Yener, H. M., ... & Atas, A. (2022, May). Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques. In 2022 30th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
  3. Koksal, D., Alacan, M. M., Olgun, E., & Sakar, C. O. (2022, May). Natural Language Processing-Based Product Category Classification Model for E-Commerce. In 2022 30th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
  4. Aytan, B., & Sakar, C. O. (2022, May). Comparison of Transformer-Based Models Trained in Turkish and Different Languages on Turkish Natural Language Processing Problems. In 2022 30th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
  5. Sakar, H. A. C. O. (2021, June). A Dynamic Recurrent Neural Networks-Based Recommendation System for Banking Customers. In 2021 29th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
  6. Veranyurt, O. & Sakar, C. O. "Transfer Öğrenmesi Tabanlı Evrişimsel Sinir Ağları ile Görüntülerde Tabanca Tespiti", 28. Sinyal İşleme Uygulamaları, IEEE, October 5-7, 2020
  7. Bozbura, M., Tunc, H.C., Kusak, M.E., Sakar, C.O "Detection of e-Commerce Anomalies using LSTM-recurrent Neural Networks", DATA 2019 , Prague, Cezch Republic, July 26-28, 2019.
  8. Gozuacik, Necip, and C. Okan Sakar. "Turkish Movie Genre Classification from Poster Images using Convolutional Neural Networks." In 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), pp. 930-934. IEEE, 2019.
  9. Aras, G., Ayhan, G., Sarikaya, M.A, Tokuç, A., Sakar, C.O. "Forecasting Hotel Room Sales within Online Travel Agencies by Combining Multiple Feature Sets", International Conference on Pattern Recognition and Machine Learning (ICPRAM) 2019 , Prague, Cezch Republic, February 20-22, 2019.
  10. Cakmak, T., Tekin, A., Senel, C., Coban, T., Uran, Z.E., Sakar, C.O. "Accurate Prediction of Advertisement Clicks based on Impression and Click-Through Rate using Extreme Gradient Boosting", International Conference on Pattern Recognition and Machine Learning (ICPRAM) 2019 , Prague, Cezch Republic, February 20-22, 2019.
  11. Ozcan, S., Chatufale, S., Sakar, C.O. Social Media Mining for Ideation by using Classification Methods, Global Tech Mining, Leiden, Netherlands, September 11, 2018
  12. Aksoy, C., Sakar, C.O. Ozcan, S. Text Enrichment-Based Enhanced Patent Mining using Clustering Techniques, Global Tech Mining, Leiden, Netherlands, September 11, 2018
  13. Tiryaki, O., Sakar, C.O. Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems, 7th International Conference on Data Science, Technology and Applications, Porto, Portugal, July 26-28, 2018.
  14. Ozcan, S. Alp, B. Sakar, C.O. "A Patent-mining Study Focusing on Technological Trends and Diffusions: A Case of Cloud Computing", R&D Management Conference , Leuven, Belgium, July 1-5, 2017.
  15. Sakar, B.E., Sakar, C.O., Serbes, G., Kursun, O. "Determination of the optimal threshold value that can be discriminated by dysphonia measurements for unified Parkinson's Disease rating scale", IEEE International Conference on Bioinformatics & Bioengineering (BIBE 2015), Belgrade, Serbia, pp. 1-4, November 2-4, 2015.
  16. Gumus, F., Sakar, C.O., Erdem, Z., Kursun, O. "Online Naive Bayes classification for network intrusion detection", ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Beijing, China, pp. 670-673, August 17-20, 2014.
  17. Sakar, C.O., Kursun, O., Gurgen, F., "Feature Extraction based on Alternating Regression", XIII. Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013), Sevilla, Spain, September 25-28, 2013.
  18. Cevik, N., Sakar, C.O., Kursun, O., "Analysis of Relations Between Shared miRNAs of Different Species Using Canonical Correlation Analysis", International Conference on Applied Informatics and Health and Life Sciences, Istanbul, Turkey, September 09-11, 2013.
  19. Kursun, O., Sakar, B.E., Isenkul, M.E, Sakar, C.O., Gurgen, F., Delil, S., Apaydin, H., Tommerdahl, M., Favorov, O.V. "Analysis of Effects of Parkinson’s Disease on the Somatosensory System via CM-4 Tactile Stimulator", International Conference on Applied Informatics and Health and Life Sciences, Istanbul, Turkey, September 09-11, 2013.
  20. Ozkan, E., Ozdemir, H., Sakar, C.O., Demir, G., Unal, A., Kindap, T. "Online Detection and Analysis System for Air Pollution Hot Spots in Turkey", 2nd International Conference on Biotechnology and Environment Management, IPCBEE vol.42 (2012), IACSIT Press, Singapore.
  21. Serbes, G., Sakar, C.O., Kahya, Y., Aydin, N., “Feature Extraction using Time-Frequency/Scale Analysis and Ensemble of Feature Sets for Crackle Detection”, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11), Boston, USA, 2011.
  22. Sakar, C.O., Kursun, O., “A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis”, 20th International Conference on Pattern Recognition, pp. 4360-4363, Istanbul, Turkey, 2010.
  23. Sakar, C.O., Kursun, O., Seker, H., Gurgen, F., “Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection”, 20th International Conference on Pattern Recognition, pp. 2572-2575, Istanbul, Turkey, 2010.
  24. Sakar, C.O., Kursun, O., Seker, H., Gurgen, F., Aydin, N., Favorov, O., "Parallel Interacting MultiView Learning: An Application to Prediction of Protein Sub-Nuclear Location", 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, pp. 587-590, Larnaca, Cyprus, 2009.
  25. Sakar C.O., Kursun O., Karaali, A., Eroglu Erdem, C., "Feature Extraction for Facial Expression Recognition by Canonical Correlation Analysis", IEEE 20th Signal Processing and Applications Conference (SİU 2012), Muğla, Turkey, April 2012.
  26. Serbes, G., Sakar, C.O., Kahya, Y., Aydin, N., "Pulmonary Crackle Detection Using Time-Frequency Analysis", IEEE 20th Signal Processing and Applications Conference (SİU 2012), Muğla, Turkey, April 2012.
  27. Sakar, B.E., Sakar, C.O., Gurgen, F., Sertbas, A., Kursun, O. "A Validation Method for Comparing Classifiers on Imbalanced Datasets", IEEE 20th Signal Processing and Applications Conference (SİU 2012), Muğla, Turkey, April 2012.
  28. Isenkul, M.E., Erdoğdu, B., Sakar, C.O., Gumus, E., Delil, M.S., Gurgen, F., Sertbas, A., Kursun, O., "Building a Speech Database and Using Speech Patterns for Diagnosis of Parkinson’s Disease from Voice Dysphonias, 16. National Meeting on Biomedical Engineering (BİYOMUT 2011), Antalya, Turkey, October, 2011.

KİTAPLAR

  1. Serbes, G., Sakar, C.O., Kahya, Y., Aydin, N., "Effect of Different Window and Wavelet Types on the Performance of a Novel Crackle Detection Algorithm", Convergence and Hybrid Information Technology, Lecture Notes in Computer Science, vol. 6935, 2011, pp 575-581.

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