| Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations H Gunduz, Y Yaslan, Z Cataltepe Knowledge-Based Systems 137, 138-148, 2017 | 118 | 2017 |
| Fast Correlation Based Filter (FCBF) with a different search strategy B Senliol, G Gulgezen, L Yu, Z Cataltepe 2008 23rd international symposium on computer and information sciences, 1-4, 2008 | 118 | 2008 |
| Music genre classification using MIDI and audio features Z Cataltepe, Y Yaslan, A Sonmez EURASIP Journal on Advances in Signal Processing 2007, 1-8, 2007 | 103 | 2007 |
| Link prediction using time series of neighborhood-based node similarity scores İ Güneş, Ş Gündüz-Öğüdücü, Z Çataltepe Data Mining and Knowledge Discovery 30 (1), 147-180, 2016 | 96 | 2016 |
| No free lunch for early stopping Z Cataltepe, YS Abu-Mostafa, M Magdon-Ismail Neural computation 11 (4), 995-1009, 1999 | 92 | 1999 |
| Co-training with relevant random subspaces Y Yaslan, Z Cataltepe Neurocomputing 73 (10-12), 1652-1661, 2010 | 86 | 2010 |
| Stable and accurate feature selection G Gulgezen, Z Cataltepe, L Yu Joint European conference on machine learning and knowledge discovery in …, 2009 | 69 | 2009 |
| Autism and tablet computers in Turkey: Teaching picture sequencing skills via a web-based iPad application C Doenyas, E Şimdi, EÇ Özcan, Z Çataltepe, B Birkan International Journal of Child-Computer Interaction 2 (1), 60-71, 2014 | 55 | 2014 |
| Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection H Gunduz, Z Cataltepe Expert Systems with Applications 42 (22), 9001-9011, 2015 | 49 | 2015 |
| Content-based movie recommendation using different feature sets M Uluyagmur, Z Cataltepe, E Tayfur Proceedings of the world congress on engineering and computer science 1, 17-24, 2012 | 35 | 2012 |
| Audio music genre classification using different classifiers and feature selection methods Y Yaslan, Z Cataltepe 18th International Conference on Pattern Recognition (ICPR'06) 2, 573-576, 2006 | 32 | 2006 |
| Stock market direction prediction using deep neural networks H Gunduz, Z Cataltepe, Y Yaslan 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 31 | 2017 |
| An improvement of centroid-based classification algorithm for text classification Z Cataltepe, E Aygun 2007 IEEE 23rd International Conference on Data Engineering Workshop, 952-956, 2007 | 25 | 2007 |
| Music recommendation based on adaptive feature and user grouping Z Çataltepe, B Altinel 2007 22nd international symposium on computer and information sciences, 1-6, 2007 | 23 | 2007 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface D Ünay, Z Çataltepe, S Aksoy Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2010 | 22* | 2010 |
| Method to use a receiver operator characteristics curve for model comparison in machine condition monitoring Z Cataltepe, C Neubauer, C Yuan US Patent 7,552,035, 2009 | 22 | 2009 |
| Learner engagement measurement and classification in 1: 1 learning S Aslan, Z Cataltepe, I Diner, O Dundar, AA Esme, R Ferens, G Kamhi, ... 2014 13th International Conference on Machine Learning and Applications, 545-552, 2014 | 21 | 2014 |
| Stock daily return prediction using expanded features and feature selection H Gündüz, Z Çataltepe, Y Yaslan Turkish Journal of Electrical Engineering and Computer Sciences 25 (6), 4829 …, 2017 | 20 | 2017 |
| Turkish document classification using shorter roots Z Cataltepe, Y Turan, F Kesgin 2007 IEEE 15th Signal Processing and Communications Applications, 1-4, 2007 | 20 | 2007 |
| Characterizing nature and location of congestion on the public Internet Z Cataltepe, P Moghe Proceedings of the Eighth IEEE Symposium on Computers and Communications …, 2003 | 18 | 2003 |
Hakan GündüzKocaeli University, Faculty of Engineering, Software EngineeringVerified email at itu.edu.tr
