Zehra Cataltepe

Professor Istanbul Technical University Computer Engineering Department Maslak, Sariyer, Istanbul, Turkey +90-212-285-3551 +90-212-285-3682 (Faculty Secretary) cataltepe at itu dot edu dot tr http://web.itu.edu.tr/~cataltepe

Co-founder, CSciO tazi Inc. ITU-Teknokent ARI-3, Maslak, İstanbul, Turkey zehra at tazi dot io tazi.io

EDUCATION:

· 1998: Ph.D in Computer Science at Caltech

· 1994: M.S. in Computer Science at Caltech

· 1991: B.S. in Computer Engineering and Information Sciences at Bilkent University, Turkey

RESEARCH INTERESTS:

· Machine learning algorithms: online machine learning, machine learning for networked, heterogeneous and big data.

· Machine learning for human learning: learning and teaching styles, development of mobile/web applications tailored for people with learning differences, educational data mining.

· Machine learning applications: (social) network analysis and classification, bioinformatics, credit scoring, recommendation (web, music, movie, document), web mining, music genre and composer classification, machine and plant condition monitoring, image classification.

· Machine learning theory: feature selection, semi-supervised learning, classifier combination, improving generalization by regularization or additional information about the problem.

WORK EXPERIENCE:

• 2015-now: Co-founder tazi Inc.
• 2015-2016: Department Head at Istanbul Technical University, Computer Engineering Department.
• 2014-now: Professor at Istanbul Technical University, Computer Engineering Department.
• 2009-2014: Associate Professor at Istanbul Technical University, Computer Engineering Department.
• 2007-2011: Binghamton SUNY-ITU Information Systems Engineering Program Coordinator.
• 2005-2009: Assistant Professor at Istanbul Technical University, Computer Engineering Department.
• 2002-2004: Siemens Corporate Research, Intelligent Vision and Reasoning Department, Princeton, NJ
• Designed and implemented machine learning algorithms and software for monitoring of power plants and AC motors and visualization of sensor data.
• 2000-2001: Technical Team Member, Stream Center Inc. , Murray Hill, NJ
• Designed experiments to collect internet congestion data, to benchmark the company streaming software and also to understand the location and characteristics of internet congestion as seen by end users when streaming audio/video.
• Designed and implemented algorithms to analyze the internet congestion data.
• Participated in developing congestion signatures to identify the amount of congestion as seen by a streaming session and property based clustering to identify the location of congestion.
• 1998-1999: Postdoctoral member of technical staff, Bell Labs Statistics and Data Mining Research, Murray Hill, NJ
• investigated modifications to discriminant analysis taking input information into account.
• 1992-1997: Research and teaching, California Institute of Technology, Computer Science Department, Pasadena, CA
• Showed that extra information, such as input information or expert knowledge (hints), about a machine-learning problem can be incorporated into learning from examples through augmented objective functions.
• Proved that early stopping can not improve the model, when no additional information is available.
• Investigated different aspects of learning from examples, such as objective functions, regularization methods, optimization methods.

RESEARCH PROJECTS:

• Consulting in Teydeb, Kosgeb, ARI-Teknokent projects for Turkcell, Intel, Matriks, Bilge Adam, Rasyonet, Mynet, Intelligent Papers, AD Yazılım.
• (2014-2016) TUBITAK Research Project, Using Machine Learning Techniques and Population Based Methods for Security Asessment and Improvement in Large Scale Power Systems/Makine Öğrenmesi Teknikleri Ve Popülasyon Tabanlı Optimizasyon Yöntemleri ile Büyük Ölçekli Elektrik Güç Sistemlerinin Dinamik Güvenliğinin Değerlendirilmesi Ve İyileştirilmesi, researcher.
• (2012-2015) CAMOMILE: Collaborative Annotation of multi-MOdal, MultI-Lingual and multi-mEdia documents, CHIST-ERA Transnational Project supported by European Union’s Seventh Framework Program, researcher.
• (2012-2013) ITÜ Arastirma Fonu/ITÜ Research Fund, Using News for Prediction of BIST Stock Prices/Haber Verilerini Kullanarak Borsa Endeks Hareketi Tahmini, Project No: 37003,  25.12.2012-02.08.2013, with MS Student Hakan Gündüz.
• (2011-2011) San-Tez Project, “Hibrit Öneri Sistemi için Öznitelik Seçimi”, Zehra Cataltepe (PI) with Digiturk.
• (2009-2011) TUBITAK Research Project, " Multi-relational and Multi-view Collective Classification, Feature Selection and Generalization/Çogul Iliskisel ve Çogul Öznitelikli Kolektif Siniflandirma, Öznitelik Seçimi ve Genelleme", Zehra Cataltepe (PI), Ayse Erzan (Istanbul Technical Un.)
• (2009-2010) ITÜ Arastirma Fonu/ITÜ Research Fund, “Yüksek Boyutlu Oznitelik Uzaylarinda Birlikte Ögrenme/Co-training in High Dimensional Input Spaces”, with Ph.D. Student, Yusuf Yaslan.
• (2006-2009) TUBITAK Research Project, "Makine Ögrenme ve Sinyal Isleme Teknikleri ile Protein Fonksiyon Öngörüsü/Protein Function Prediction Using Machine Learning and Function Prediction Techniques", Zehra Cataltepe (PI), Yucel Altunbasak (Sabanci Un. And Georgia Inst of Technology), Ozlem Keskin (Koc University).
• (2006-2008) TUBITAK Research Project, "TR-Web: Daha Hizli ve Doðru Bir Web Öneri Sistemi/TR-Web: A Faster and More Correct Recommendation System", Sule Gunduz-Oguducu (PI), Sima Etaner-Uyar, Zehra Cataltepe.
• (2009-2009) İTÜ Research Fund, “Yüksek Boyutlu Öznitelik Uzaylarında Birlikte Öğrenme (Co-training in High Dimensional Input Spaces)”, PI, 01.04.2009-30.09.2009.

PATENTS ISSUED:

1. (2012) Yuan, Chao, Neubauer, Claus, Cataltepe, Zehra, Mccorkle, Wesley, Brummel, Hans-gerd, Fang, Ming, System, Device, And Methods For Updating System-Monitoring Models, European Patent EP1782142.
2. (2011) C. Yuan, C. Neubauer, Z. Cataltepe, (Siemens Corporate Research), Method and apparatus for improved fault detection in power generation equipment, US Pat No: 7,953,577.
3. (2009) Z. Cataltepe, C. Neubauer, C. Yuan, (Siemens Corporate Research), Method to use a receiver operator characteristics curve for model comparison in machine condition monitoring, US Pat No: 7,552,035.
4. (2008) C. Yuan, C. Neubauer, Z. Cataltepe, W. McCorckle, H.G. Brummel, M. Fang, (Siemens Corporate Research), Method to use a receiver operator characteristics curve for model comparison in machine condition monitoring, US Pat No: 7,457,674.
5. (2007) C. Yuan, Z. Cataltepe, C. Neubauer, M. Fang, (Siemens Corporate Research), “Joint approach of out-of-range detection and fault detection for power plant monitoring”, US Pat No: 7,305,317.
6. (2007) C. Yuan, C. Neubauer and Z. Cataltepe (Siemens Corporate Research), “Apparatus and methods for detecting system faults using hidden process drivers,” US Pat No: 7,216,061.
7. (2007) Z. Cataltepe, M. Fang; Ming, C. Neubauer, C. Yuan (Siemens Corporate Research), “Tool for sensor management and fault visualization in machine condition monitoring,” US Pat No: 7,183,905.
8. (2007) C. Yuan, C. Neubauer and Z. Cataltepe (Siemens Corporate Research), “Method and apparatus for detecting out-of-range conditions in power generation equipment operations,” US Pat No: 7,188,050.
9. (2006) Z. Cataltepe, M. Fang, C. Neubauer, C. Yuan (Siemens Corporate Research), “System and method for detecting and excluding outlier sensors in sensor-based monitoring,” US Pat No: 7,096,159.
10. (2006) C. Yuan, C. Neubauer, H.G. Brummel, M. Fang, Z. Cataltepe (Siemens Corporate Research), “Systems and methods for selecting training data and generating fault models for use in use sensor-based monitoring,” US Pat No: 7,035,763.
11. (2014) M. Uluyagmur, Z. Cataltepe, E. Tayfur, Method for facilitating personalized movie recommendation for user, EP2763421A1, 06 Aug 2014

12. Turkey: (2016) E. Tayfur, M. Uluyagmur, Z. Cataltepe, Kişiselleştirilmiş film öneri yöntemi ve sistemi, Turkish Patent Institute Patent No: 2013 01294, date of approval: 2016/03/21
13. Turkey: (2014) M. O. Sarkan, S. Sokmen, Z. Cataltepe, Birleşik olasılık ihtimalleri vasıtasıyla otomatik alarm filtresi üretim sistemi ve yöntemi, Turkish Patent Institute Patent No: 2011 03010, date of approval: 2014/07/21
14. Turkey: (2014) Z. Cataltepe, A. Akcakoca, M. O. Sarkan, Alarm tiplerinin otomatik olarak belirlenmesini ve filtrelenmesini sağlayan bir sistem ve yöntem, Turkish Patent Institute Patent No: 2013 03766, date of approval: 2016/04/21

PATENTS APPLIED:

15. Turkey: (2013) S. Sokmen, Z. Cataltepe, M. O. Sarkan, A. Akcakoca, İletişim şebekelerindeki kronik kalite problemlerinin saptanması için bir sistem ve yöntem, Application No: 2013/07640.

PUBLICATIONS:

(Organized by Topic, **:journal, *:book chapter, the conference papers have not been updated):

Book: (2010) D. Ünay, Z. Çataltepe and S. Aksoy, Recognizing Patterns in Signals, Speech, Images and Videos, ICPR 2010 Contests, Istanbul, Turkey, August 23-26, 2010, Contest Reports Lecture Notes in Computer Science, Volume 6388, 2010, DOI: 10.1007/978-3-642-17711-8.

Classification of Networked Data:

1. **(2015) İ. Gunes, S. Gunduz-Oguducu, Z. Cataltepe, Link Prediction Using Time-Series of Neighborhood-based Static Node Similarity Metrics, Data Mining and Knowledge Discovery, accepted, DOI: 10.1007/s10618-015-0407-0.
2. **(2014) İ. Gunes, Z. Cataltepe, S. Gunduz-Oguducu, GA-TVRC-Het: Genetic Algorithm enhanced Time Varying Relational Classifier for Evolving Heterogeneous Networks, Data Mining and Knowledge Discovery, 28:670-701.
3. **(2014) Z. Cataltepe, A. Sonmez, B. Senliol, Feature Enrichment and Selection for Transductive Classification of Networked Data, Pattern Recognition Letters, 37:41-53.
4. *(2014) Z. Cataltepe, A. Sonmez, Classification in Social Networks, Book Chapter in: Social Network Analysis:Tutorials and Case Studies, S. Gunduz-Oguducu, S. Etaner-Uyar eds., Springer, ISBN: 978-3709117965.
5. (2013) Ergur, B., and Z. Cataltepe. "Relational stock market network analysis/İlişkisel Borsa Ağı Analizi" Signal Processing and Communications Applications Conference (SIU), 2013 21st. IEEE, 2013.
6. (2012) J. Li, A. Sonmez, Z. Cataltepe, E. Bax, Validation of Network Classifiers, Structural, Syntactic, and Statistical Pattern Recognition Lecture Notes in Computer Science Volume 7626, 2012, 448-457.
7. (2011) Z. Cataltepe, A. Sonmez, K. Baglioglu, and A. Erzan, Collective Classification Using Heterogeneous Classifiers, 7th International Conference on Machine Learning and Data Mining MLDM 2011, August 30-September 3, 2011, New York/USA.
8. (2011) I. Gunes, Z. Cataltepe, and S. Gunduz-Oguducu, GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms, 7th International Conference on Machine Learning and Data Mining MLDM 2011, August 30-September 3, 2011, New York/USA.
9. (2009) B. Senliol, Z. Cataltepe and A. Sonmez, Collective Classification with Content and Link Noise, NIPS 2009 Workshop on Analyzing Networks and Learning with Graphs, December 11, 2009 in Whistler, BC, Canada.
10. (2009) B. Senliol, A. Aral and Z. Cataltepe, Feature Selection for Collective Classification , ISCIS 2009, Sept 14-16, Cyprus.

Human Learning:

11. **(2016) Radwan, A. M., Birkan, B., Hania, F., & Cataltepe, Z. (2016). Active machine learning framework for teaching object recognition skills to children with autism. International Journal of Developmental Disabilities, 1-12.
12. **(2016) Ekmekçi, Ü., Çataltepe, Z., Güngör, G., & Kahya, D. C. (2016). EigenBots for the Okey Social Board Game. The Computer Journal, bxv121.
13. **(2014) C. Doenyas, E. Şimdi, E. Ç. Özcan, Z. Çataltepe, B. Birkan, Autism and tablet computers in Turkey: Teaching picture sequencing skills via a web-based iPad application,International Journal of Child-Computer Interaction, 2.1 (2014): 60-71, DOI: 10.1016/j.ijcci.2014.04.002.
14. (2015) Tuysuzoglu, G., Moarref, N., Cataltepe, Z., Misirli, A. T., & Yaslan, Y. (2015, July). Analysing graduation project rubrics using machine learning techniques. In Computer Science & Education (ICCSE), 2015 10th International Conference on (pp. 19-24). IEEE.
15. (2014) Aslan, S., Cataltepe, Z., Diner, I., Dundar, O., Esme, A., Ferens, R., …. and Yener, M. (2014, December). Learner Engagement Measurement and Classification in 1: 1 Learning. In Machine Learning and Applications (ICMLA), 2014 13th International Conference on (pp. 545-552). IEEE.
16. (2012) M. E. Alper and Z. Cataltepe, Improving Course Success Prediction Using Abet Course Outcomes And Grades, CSEDU (The 4^th International Conference on Computer Supported Education), Porto, Portugal, April 16-18, 2012.
17. (2012) A. Aral and Z. Cataltepe, Learning Styles For K-12 Mathematics E-Learning, CSEDU (The 4^th International Conference on Computer Supported Education), Porto, Portugal, April 16-18, 2012.

Dimensionality Reduction:

18. **(2015) H. Gündüz, Z. Cataltepe, Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection. Expert Systems with Applications, 42(22), 9001-9011.
19. **(2015) Ümit Ekmekçi, Zehra Çataltepe, Extended multimodal Eigenclassifiers and criteria for fusion model selection, Information Sciences, Volume 298, 20 March 2015, Pages 53-65, ISSN 0020-0255, http://dx.doi.org/10.1016/j.ins.2014.11.034.
20. **(2010) Y. Yaslan and Z. Cataltepe, Co-training with Relevant Random Subspaces, Neurocomputing, Volume 73, Issues 10-12, June 2010, pp 1652-1661.
21. **(2005) Z. Cataltepe, E. Cetin and T. Pearson, Identification of Insect Damaged Wheat Kernels Using Transmittance Images , Electronics Letters, vol 41, no 5, pp 23-24.
22. (2013) H. Gündüz, Z. Cataltepe. Prediction Of Istanbul Stock Exchange (ISE) Direction Based On News Articles, In The Third International Conference on Digital Information Processing and Communications (ICDIPC2013) (pp. 320-330). The Society of Digital Information and Wireless Communication.
23. (2013) Ekmekci, Ü., Cataltepe, Z. Classifier combination with kernelized eigenclassifiers. In Information Fusion (FUSION), 2013 16th International Conference on (pp. 743-749). IEEE.
24. (2012) D. Polat, Z. Çataltepe, , Feature selection and classification on brain computer interface (BCI) data, SIU 2012, 18-20 May 2012, Mugla, Turkey.
25. (2009) G. Gulgezen, Z. Cataltepe, L. Yu, Stable and Accurate Feature Selection, ECML/PKDD 2009, Bled, Slovenia.
26. (2011) Z. Cataltepe, S. Ozer, V. Unutmaz Barin, Feature Selection for Price Change Prediction , International Conference on Mathematical Finance and Economics, July 6-8, 2011, Istanbul, Turkey.
27. (2009) Y. Yaslan and Z. Cataltepe, Selection of Relevant and Non-Redundant Feature Subspaces for Co-training , IDEAL Conference, Burgos, Spain, 23-26 September, 2009.
28. (2009) E. Avsar, M. Kamasak, Z. Cataltepe, Tek-Sinif Destek Vektor Makineleri Kullanilarak EEG Isaretlerinin Siniflandirilmasi/EEG Signal Classification Using One-Class Support Vector Machines, BIYOMUT 2009, Izmir, Turkey.
29. (2009) G. Gülgezen, Z. Çataltepe and L. Yu, Stable Feature Selection Using MRMR Algorithm/MRMR Algoritmasi Kullanilarak Kararli Oznitelik Secimi, 17th IEEE Conference on Signal Processing and Communications Applications (SIU 2009), Antalya, Turkey.
30. (2009) Y. Yaslan, Z. Cataltepe, Audio Genre Classification with Co-MRMR/Muzik Turlerinin Co-MRMR ile Siniflandirilmasi, 17th IEEE Conference on Signal Processing and Communications Applications (SIU 2009), Antalya, Turkey.
31. (2008) B. Senliol, G. Gulgezen, L. Yu, Z. Cataltepe, Fast Correlation Based Filter (FCBF) with a Different Search Strategy, poster presentation at ISCIS 2008 Conference, 27-29 October 2008, Istanbul, Turkey.
32. (2007) M. Turan and Z. Cataltepe, Clustering and Dimensionality Reduction to Determine Important Software Quality Metrics, ISCIS 2007, Ankara, Turkey.
33. (2007) Z. Cataltepe, H. M. Genc, T. Pearson, A PCA/ICA Based Feature Selection Method and its Application for Corn Fungi Detection, Eusipco (European Signal Processing Conference) 2007, 3-7 September, Poland.
34. (2007) H. M. Genc, Z. Cataltepe, T. Pearson, A New PCA/ICA Based Feature Selection Method/Yeni Bir Temel/Bagimsiz Bilesen Analizi(TBA/BBA) Tabanli Oznitelik Secme Yontemi, SIU 2007, Eskisehir, Turkey.
35. (2004) Z. Cataltepe, T. Pearson and E. Cetin, Fast Insect Damage Detection in Wheat Kernels Using Transmittance Images, IEEE IJCNN (International Joint Conference on Neural Networks) 2004, Budapest, Hungary.
36. (2004) Z. Cataltepe, E. Cetin and T. Pearson, Identification of Insect Damaged Wheat Kernels Using Transmittance Images, IEEE ICIP (International Conference on Image Processing) 2004, Singapore.

Bioinformatics:

37. **(2010) E. Aygun, B. J. Oommen and Z. Cataltepe, “Peptide Classification Using Optimal and Information Theoretic Syntactic Modeling, doi:10.1016/j.patcog.2010.05.022, Pattern Recognition.
38. (2009) E. Aygun, J. Oommen, Z. Cataltepe, On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification, PRIB 2009, Sheffield, England.
39. (2009) P. Dao, F. Hormozdiari, H. Jowhari, S.C. Sahinalp, K. Byler, A. Cherkasov, Z. Cataltepe, Improved Small Molecule Activity Determination via Centroid Nearest Neighbors Classification, CSB 2009, August 10-12, Stanford, CA.
40. (2009) B. Senliol, Z. Cataltepe, Score Matrix Optimization for Quartz Binding Peptides Using Evolutionary Strategy/Kuvarsa Baðlanabilen Peptitler için Evrimsel Strateji ile Skor Matris Optimizasyonu, 17th IEEE Conference on Signal Processing and Communications Applications (SIU 2009), Antalya, Turkey.
41. (2008) A. Filiz, Z. Cataltepe, Gene Ontology Prediction Using Compression Based Distances and Alignment Scores on Both Amino Acid Sequence and Secondary Structure, ISCIS 2008 Conference, 27-29 October 2008, Istanbul, Turkey.
42. (2008) A. Filiz, E. Aygün, O. Keskin, Z. Cataltepe, Importance of Secondary Structure Elements for Prediction of GO Annotations, HIBIT 2008, Istanbul, Turkey.
43. (2008) E. Aygün, C. Komurlu, Z. Aydin, Z. Cataltepe, Protein Function Prediction with Amino Acid Sequence and Secondary Structure Alignment Scores, HIBIT 2008, Istanbul, Turkey.
44. (2007) Z. Cataltepe, U. Ayan and E. Aygun, Protein Function Prediction Using Motifs, Sequence Features and Alignment Scores, poster presentation at RECOMB (International Conference on Research in Computational Molecular Biology), April 2007, San Fransisco.
45. (2007) Z. Cataltepe, E. Aygun, A. Filiz, O. Keskin, C. Komurlu and Y. Altunbasak, Dimensionality Reduction for Protein Function Prediction, poster presentation at Automated Function Prediction – Biosapiens Joint Special Interest Group Meeting, Vienna, Austria July 2007.
46. (2007) E. Aygun and Z. Cataltepe, Gene Ontology (GO) Molecular Function Prediction Based on Alignment Scores, HIBIT (International Symposium on Health Informatics and Bioinformatics), May 2007, Antalya, Turkey.

Movie/WebPage/Music/Document/Video Classification and Recommendation:

47. **(2016) Z. Cataltepe, M. Uluyagmur and E. Tayfur. Feature Selection for Movie Recommendation Turkish Journal of Electrical Engineering & Computer Sciences 24.3 (2016): 833-848.
48. *(2009) Z. Cataltepe and B. Altinel, Music Recommendation by Modeling User’s Preferred Perspectives of Content, Singer/Genre and Popularity in "Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling" edited by M. Chevalier, C. Julien and C. Soulé-Dupuy, IGI Global, pp. 203-221, ISBN: 978-1-60566-306-7,
49. **(2007) Z. Cataltepe, Y. Yaslan and A. Sonmez, Music Genre Classification Using MIDI and Audio Features, EURASIP Journal of Advances in Signal Processing, vol. 2007 (January), Article ID 36409, 8 pages.
50. (2015) E. Demir, Z. Cataltepe, U. Ekmekci, M. Budnik, L. Besacier, Unsupervised Active Learning for Video Annotation, International Conference of Machine Learning 2015, Active Learning Workshop, July 2015, Lille, France.
51. (2015) E. Gülşen, H. Gündüz, Z. Çataltepe, L. Serinol, Big Data Feature Selection And Projection For Gender Prediction Based On User Web Behaviour/Internet Kullanıcı Davranısları Tabanlı Cinsiyet Tahmini icin Buyuk Veri Uzerinde Oznitelik Secimi ve Indirgemesi Yapılması, accepted, SIU 2015 Conference, Malatya, Turkey, May 16-19, 2015.
52. (2012) M. Uluyagmur, Z. Cataltepe and E. Tayfur, Content-Based Movie Recommendation Using Different Feature Sets, Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I WCECS 2012, October 24-26, 2012, San Francisco, USA.
53. (2012) Z. Çataltepe, M. Uluyağmur, E. Tayfur, TV program recommendation using implicit feedback with adaptive regularization, SIU 2012, 18-20 May 2012, Mugla, Turkey.
54. (2009) Z. Cataltepe, B. Dilber, H. Germiyan, Better User Interest Estimation to Increase Web Banner Ad Click Rate/ Daha Iyi Kullanici Ilgi Alani Belirleme ile Webde Reklam Tiklamanin Iyilestirilmesi, SIU 2010, Diyarbakir, Turkey.
55. (2009) Y. Yaslan and Z. Cataltepe, Audio Genre Classification with SemiSupervised Feature Ensemble Learning, MML Workshop at ECML/PKDD, 7-11 September, 2009, Bled Slovenia.
56. (2007) Z. Cataltepe and B. Altinel, Hybrid Music Recommendation Based on Different Dimensions of Audio Content and Entropy Measure, Eusipco (European Signal Processing Conference) 2007, 3-7 September, Poland.
57. (2007) Z. Cataltepe and B. Altinel, Music Recommendation Based on Adaptive Feature and User Grouping, ISCIS 2007, Ankara, Turkey.
58. (2007) Z. Cataltepe, Y. Turan, F. Kesgin, Turkish Document Classification Using Shorter Roots/Türkçe’de Daha Kisa Kök Kullanarak Doküman Siniflandirma, SIU 2007, Eskisehir, Turkey.
59. (2007) Z. Cataltepe and E. Aygun, An Improvement of Centroid-Based Classification Algorithm for Text Classification, DBMI Workshop within ICDE (International Conference on Data Engineering), April 2007, Istanbul.
60. (2007) Y. Yaslan, Z. Çataltepe, A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis, poster presentation at MLDM (Machine Learning and Data Mining) 2007, July 18-20, 2007, Leipzig/Germany.
61. (2006) Y. Yaslan, Z. Çataltepe, Audio Music Genre Classification Using Different Classifiers and Feature Selection, ICPR 2006, Hong-Kong.
62. (2005) Z. Cataltepe, A. Sonmez and E. Adali, Music Classification Using Kolmogorov Distance, Representation in Music/Musical Representation Congress, Istanbul, Turkey, October 2005.

Monitoring (of Networks, Traffic, Power Plants, Motors):

63. (2016) Cataltepe, Z., Ekmekci, U., Cataltepe, T., & Kelebek, I. (2016, April). Online feature selected semi-supervised decision trees for network intrusion detection. In NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium (pp. 1085-1088). IEEE.
64. (2015) M. O. Sarkan, A. Akcakoca, C. Kucukakdag & Z. Cataltepe, Alarm correlation using Apriori algorithm. In Signal Processing and Communications Applications Conference (SIU), 2015 23th (pp. 1602-1605). IEEE.
65. (2013) M. O. Sarkan & Z. Cataltepe, Detection of periodic problems using non-parametric density estimation. In Signal Processing and Communications Applications Conference (SIU), 2013 21st (pp. 1-4). IEEE.
66. (2011) M. O. Sarkan & Z. Cataltepe, Transient filter generation using parzen window method. In Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on (pp. 642-645). IEEE.
67. (2010)Ü. Yildirim, Z. Cataltepe, Oruntu Tanima ve Oznitelik Secme Yontemleri Kullanarak Kisa Zaman Sonraki Yol Trafik Hiz Ongorusu, Türkiye Bilisim Vakfı, Bilgisayar Bilimleri ve Mühendisliği Dergisi, 2010, Sayı 3, Sayfa 21-28.
68. (2008) Ü. Yildirim, Z. Cataltepe, Short Time Traffic Speed Prediction Using Data from a Number of Different Sensor Locations, ISCIS 2008 Conference, 27-29 October 2008, Istanbul, Turkey.
69. (2008) Ü. Yildirim, Z. Cataltepe, Short Time Traffic Speed Prediction Using Pattern Recognition and Feature Selection Method/Oruntu Tanima ve Oznitelik Secme Yontemleri Kullanarak Kisa Zaman Sonraki Yol Trafik Hiz Ongorusu, SIU 2008, Didim, Turkey (one of the 9 finalists for the Alper Atalay Student Prize).
70. (2007) E. Karatoprak, S. Seker, Z. Cataltepe and T. Sengüler, Using Bayes Decision Rule for Motor Fault Detection/Bayes Karar Verme Kuraminin Motor Ariza Tanisinda Kullanilmasi, SIU 2007, Eskisehir, Turkey.
71. (2005) Z. Cataltepe, C. Yuan, C. Neubauer, Meltem Demirkus and H.Gerd-Brummel, A Robust Method to Identify Faults in Correlated Sensors in Machine Condition Monitoring, EUSIPCO (European Signal Processing Conference) September 2005, Antalya, Turkey.
72. (2005) C. Yuan, C. Neubauer, Z. Cataltepe and H.Gerd-Brummel, Support Vector Methods and Use of Computed Sensors for Power Plant Monitoring, ICASSP (International Conf. on Acoustics, Speech and Signal Processing), Philadelphia, USA, March 2005.
73. (2003) Z. Cataltepe, M. Chang, T. Stiefmeier, B. Chen and C. Neubauer, Using ROC Curve In the Absence of Positive Examples, CINC 6 (The 6th International Conference on Computational Intelligence and Natural Computing) Cary, North Carolina.
74. (2003) Z. Cataltepe, P. Moghe, Characterizing Nature and Location of Congestion on the Public Internet, ISSC' (IEEE Symposium on Computers and Communication), Kemer, Antalya, Turkey.

See also the patents above.

Misc. Topics:

75. **(1999) Z. Cataltepe, Y. S. Abu-Mostafa and M. Magdon-Ismail, No Free Lunch for Early Stopping, Neural Computation, vol 11, no 4, pp 995--1009.
76. *(2009) B. Kurt and Z. Cataltepe, "Enterprise Server Platform" in "Handbook of Enterprise Integration", edited by M.H. Sherif, Auerbach Publications, ISBN: 978-1420078213.
77. (1997) Z. Cataltepe and M. Magdon-Ismail, Incorporating Test Inputs into Learning, Proceedings of the Advances in Neural Information Processing Systems 10.
78. (2012) H. Gumus, E.K. Ozay, I. Ari, Z. Cataltepe, An iterative approach for clustering optimization and validation, SIU 2012, 18-20 May 2012, Mugla, Turkey.
79. (1997) E. Bax, Z. Cataltepe and J. Sill, The Central Classifier Bound -- A New Error Bound for the Classifier Chosen by Early Stopping, IEEE PACRIM, Victoria, B.C. 1997 conference proceedings.
80. (1994) Z. Cataltepe and Y. S. Abu-Mostafa, Estimating Learning Performance Using Hints, Proceedings of the 1993 Connectionist Models Summer School, M. Mozer et. al. (Eds.), Lawrence Erlbaum Associates, Publishers, Hillsdale, NJ. pp.380-386.
81. (2008) Y. Yaslan, Z. Cataltepe, Co-Training with Adaptive Bayesian Classifier Combination, poster presentation at ISCIS 2008 Conference, 27-29 October 2008, Istanbul, Turkey.
82. (1997) R. A. Sahan, D. C. Albin, N. K. Sahan and Z. Cataltepe, Modelling Of Transitional Air Flow System In A Channel Using Artificial Neural Networks", Sixth Turkish Symposium on Artificial Intelligence and Neural Networks ( TAINN 97 ).

TEACHING:

• Machine Learning and Pattern Recognition (M.S. and Ph.D. Level classes) (2005-2015).
• Analysis of Algorithms I and II (2005-2015).
• Past courses: Object Oriented Programming, Java Programming, Project 1 and 2.

STUDENTS:

Current Students:

· Ph.D. Students: Akram Radwan, Mahiye Uluyağmur-Öztürk, Hakan Gündüz, Peyman Beyranvand, Yiğit Bekir Kaya.

· M.S. Students: Fırat Civaner, Leyla Garayli, Esra Gulsen, Mahmut Sezenol, Emine M. Altın, Hüseyin Abanoz, Nilay Tüfek.

Graduated Students (all thesis are from Istanbul Technical University):

1. (2014) Abdullah Sonmez, Ph.D. in Computer Engineering, Thesis title: " Improving Collective Classification By Incorporating Directed Links, Feature Enrichment And Classifier Combination".
2. (2014) Ismail Gunes, Ph.D. in Computer Engineering, Thesis title: "Node Classification And Link Prediction On Complex Evolving Networks " (co-advised with Sule Gunduz-Oguducu).
3. (2010) Yusuf Yaslan, Ph.D. in Computer Engineering, Thesis title: "Supervised and Semi-Supervised Learning with Feature Ensembles".

4. (2015) Emre Demir, M.Sc. in Information Sciences, Thesis title: "Unsupervised Active Learning for Video Annotation".
5. (2014) Bircan Ergur, M. Sc. in Computer Engineering, Thesis title: "Prediction of the Borsa Istanbul (BIST) Change Direction Using Relational Stock Networks/Borsa İstanbul (BIST) Hisse Fiyat Değişim Yönünün İlişkisel Borsa Aği Kullanilarak Tahmin Edilmesi".
6. (2014) Umit Ekmekci, M. Sc. in Computer Engineering, Thesis title: "Classifier Fusion For Multimodal Correlated Classifiers and Video Annotation".
7. (2014) Ismail Bilgen, M. Sc. in Computer Engineering, Thesis title: "Predicting Human-HIV1 Protein-Protein Interactions Using Random Forests In A Co-Training Approach".
8. (2013) Kadriye Bağlıoğlu, M.Sc. in Computer Engineering, Thesis title: "Ağ Verisi Üzerinde İlgili ve Rastgele Altuzaylar Seçerek Birlikte Öğrenme".
9. (2013) Hakan Gündüz, M.Sc. in Computer Engineering, Thesis title: "Borsa İstanbul 100 Endeksi Yönünün Ekonomi Haberleri İle Tahmin Edilmesi".
10. (2012) Mahiye Uluyağmur, M.Sc. in Computer Engineering, Thesis title: "Hybrid Film Öneri Sistemi/Hybrid Movie Recommendation".
11. (2011) Onur Sarkan M.Sc. in Information Sciences, Thesis title: "GSM Network Fault Management By Using Statistical Learning Methods/ GSM Şebekelerinde İstatistiksel Öğrenme Yöntemleri İle Aksaklık Yönetimi".
12. (2010) Barış Şenliol, M.Sc. in Computer Engineering, Thesis title: "Kolektif Sınıflandırma Yöntemleri için Öznitelik ve Düğüm Seçimi/Feature and Node Selection for Collective Classification".
13. (2010) Kenan Kule, M.Sc. in Computer Engineering, Thesis title: "Feature Selection Using Different Mutual Information Estimation Methods".
14. (2009) Gökhan Gülgezen, M.Sc. in Computer Engineering, Thesis title: "Stable and Accurate Feature Selection".
15. (2009) Eser Aygün, M.Sc. in Computer Engineering, Thesis title: " Improvement of Protein Function Prediction Using Structural Information and Peptite Classification Using Syntactic Transition Probabilities/Protein Islev Kestiriminde Yapisal Bilginin Katkisi ve Dizi Gecis Olasiliklari ile Peptit Siniflandirma".
16. (2008) Asli Filiz, M.Sc. in Information Sciences, Thesis title: " Alignment and Compression-Based Protein Function Prediction Using Secondary Structure”
17. (2008) Caner Kömürlü, M.Sc. in Information Sciences, Thesis title: " Protein Function Prediction Using Hidden Markov Models".
18. (2008) Ümit Ülkem Yıldırım, M.Sc. in Computer Engineering, Thesis title: " Short Time Traffic Speed Prediction Using Pattern Recognition and Feature Selection/Örüntü Tanima ve Öznitelik Seçme Yöntemleri Kullanarak Kısa Zaman Sonraki Yol Trafik Hiz Öngörüsü".
19. (2007) Berna Altınel, M.Sc. in Computer Engineering, Thesis title: "A Hybrid Music Recommender System Based on Different Features of Music and User".
20. (2005) Abdullah Sönmez, M.Sc. in Computer Engineering, Thesis title: "Music Genre and Composer Identification by Using Kolmogorov Distance" (co-advised with Esref Adali).

PROFESSIONAL ACTIVITIES:

• Reviewer for Pattern Recognition, Pattern Recognition Letters, Information Sciences, IEEE TIP, Computer Journal, Machine Vision and Applications, Neurocomputing, Journal of Intelligent Information Systems journals.
• Project reviewer: H2020, TÜBİTAK: Elektrik Elektronik ve Enformatik Arastirma Grubu (EEEAG), TEYDEB, Turkish Technology Development Foundation (TTGV).
• (2010-2011) Associate Editor of Turkish Journal of Electrical Engineering and Computer Sciences.
• Conferences:
• AAAI2012, Program Committee
• ICPR 2010, Contest co-chair
• ISCIS 2008, Conference co-chair.
• ICDE 2007, Organization Committee
• SIU 2010, Technical Committee.
• ISCIS 2006, ISCIS 2007, ISCIS 2010, Program/Reviewer Committee.
• HIBIT 2008, Organizing and Program Committee.
• HIBIT 2007, Reviewer Committee.
• PRIB 2007, Program Committee.
• BioSignals 2008, Program Committee.
• DBMI 2007, Program Committee.