| Ensemble of SVMs for incremental learning Z Erdem, R Polikar, F Gurgen, N Yumusak International Workshop on Multiple Classifier Systems MCS 2005 3541, 246-256, 2005 | 64 | 2005 |
| Online Naive Bayes classification for network intrusion detection F Gumus, CO Sakar, Z Erdem, O Kursun IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2014 | 58 | 2014 |
| Incorporating data sources and methodologies for crime data mining F Ozgul, C Atzenbeck, A Celik, Z Erdem Proceedings of 2011 IEEE international conference on Intelligence and …, 2011 | 35 | 2011 |
| Prediction of past unsolved terrorist attacks F Ozgul, Z Erdem, C Bowerman 2009 IEEE International Conference on Intelligence and Security Informatics …, 2009 | 21 | 2009 |
| Prediction of unsolved terrorist attacks using group detection algorithms F Ozgul, Z Erdem, C Bowerman Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2009 …, 2009 | 20 | 2009 |
| Comparing two models for terrorist group detection: Gdm or ogdm? F Ozgul, Z Erdem, H Aksoy Intelligence and Security Informatics: IEEE ISI 2008 International Workshops …, 2008 | 19 | 2008 |
| Network anomaly detection with deep learning U Çekmez, Z Erdem, AG Yavuz, OK Sahingoz, A Buldu 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 18 | 2018 |
| Combined detection model for criminal network detection F Ozgul, Z Erdem, C Bowerman, J Bondy Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2010 …, 2010 | 16 | 2010 |
| A real time data warehouse approach for data processing M Obalı, B Dursun, Z Erdem, AK Görür 2013 21st signal processing and communications applications conference (SIU …, 2013 | 15 | 2013 |
| Deciding resilient criminal networks F Ozgul, Z Erdem Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 13 | 2015 |
| Detecting criminal networks using social similarity F Ozgul, Z Erdem 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 11 | 2012 |
| Reducing the effect of out-voting problem in ensemble based incremental support vector machines Z Erdem, R Polikar, F Gurgen, N Yumusak International Conference on Artificial Neural Networks ICANN 2005 3697, 607-612, 2005 | 11 | 2005 |
| Detecting criminal networks: SNA models are compared to proprietary models F Ozgul, M Gok, Z Erdem, Y Ozal 2012 IEEE International Conference on Intelligence and Security Informatics …, 2012 | 10 | 2012 |
| Comparison of feature-based criminal network detection models with k-core and n-clique F Ozgul, Z Erdem, C Bowerman, C Atzenbeck 2010 IEEE International Conference on Advances in Social Networks Analysis …, 2010 | 10 | 2010 |
| Ensembled correlation between liver analysis outputs SE Seker, Y Unal, Z Erdem, HE Kocer International Journal of Biology and Biomedical Engineering, ISSN: 1998-4510 …, 2014 | 9 | 2014 |
| Mining Social Networks and Security Informatics T Özyer, Z Erdem, J Rokne, S Khoury Springer Netherlands, 2013 | 8 | 2013 |
| Ensemble based incremental SVM classifiers for changing environments A Yalcin, Z Erdem, F Gurgen 22nd international symposium on computer and information sciences, 1-5, 2007 | 8 | 2007 |
| How much similar are terrorists networks of istanbul? F Ozgul, C Atzenbeck, Z Erdem 2011 IEEE International Conference on Advances in Social Networks Analysis …, 2011 | 7 | 2011 |
| Which crime features are important for criminal network members? F Ozgul, Z Erdem Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 6 | 2013 |
| Two models for semi-supervised terrorist group detection F Ozgul, Z Erdem, C Bowerman Mathematical methods in counterterrorism, 229-249, 2009 | 5 | 2009 |
Fikret S. GurgenBogazici University, Professor of Computer EngineeringVerified email at boun.edu.tr
