Stance detection: A survey D Küçük, F Can ACM Computing Surveys (CSUR) 53 (1), 1-37, 2020 | 324 | 2020 |
Incremental clustering for dynamic information processing F Can ACM Transactions on Information Systems (TOIS) 11 (2), 143-164, 1993 | 287 | 1993 |
Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databases F Can, EA Ozkarahan ACM Transactions on Database Systems (TODS) 15 (4), 483-517, 1990 | 227 | 1990 |
Automatic ranking of information retrieval systems using data fusion R Nuray, F Can Information processing & management 42 (3), 595-614, 2006 | 222 | 2006 |
Information retrieval on Turkish texts F Can, S Kocberber, E Balcik, C Kaynak, HC Ocalan, OM Vursavas Journal of the American Society for Information Science and Technology 59 (3 …, 2008 | 159 | 2008 |
Change of writing style with time F Can, JM Patton Computers and the Humanities 38, 61-82, 2004 | 157 | 2004 |
Chat mining: Predicting user and message attributes in computer-mediated communication T Kucukyilmaz, BB Cambazoglu, C Aykanat, F Can Information Processing & Management 44 (4), 1448-1466, 2008 | 134 | 2008 |
Automatic performance evaluation of Web search engines F Can, R Nuray, AB Sevdik Information processing & management 40 (3), 495-514, 2004 | 128 | 2004 |
Less is more: A comprehensive framework for the number of components of ensemble classifiers H Bonab, F Can IEEE Transactions on neural networks and learning systems 30 (9), 2735-2745, 2019 | 120 | 2019 |
Chat mining for gender prediction T Kucukyilmaz, BB Cambazoglu, C Aykanat, F Can Advances in Information Systems: 4th International Conference, ADVIS 2006 …, 2006 | 107 | 2006 |
Multilingual sentiment analysis: An RNN-based framework for limited data EF Can, A Ezen-Can, F Can arXiv preprint arXiv:1806.04511, 2018 | 105 | 2018 |
Unsupervised concept drift detection with a discriminative classifier Ö Gözüaçık, A Büyükçakır, H Bonab, F Can Proceedings of the 28th ACM international conference on information and …, 2019 | 84 | 2019 |
New event detection and topic tracking in Turkish F Can, S Kocberber, O Baglioglu, S Kardas, HC Ocalan, E Uyar Journal of the American Society for Information Science and Technology 61 (4 …, 2010 | 72 | 2010 |
Efficiency and effectiveness of query processing in cluster-based retrieval F Can, IS Altingövde, E Demir Information Systems 29 (8), 697-717, 2004 | 67 | 2004 |
Concept learning using one-class classifiers for implicit drift detection in evolving data streams Ö Gözüaçık, F Can Artificial Intelligence Review 54 (5), 3725-3747, 2021 | 63 | 2021 |
A theoretical framework on the ideal number of classifiers for online ensembles in data streams HR Bonab, F Can Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 62 | 2016 |
Incremental cluster-based retrieval using compressed cluster-skipping inverted files IS Altingovde, E Demir, F Can, Ö Ulusoy ACM Transactions on Information Systems (TOIS) 26 (3), 1-36, 2008 | 49 | 2008 |
Incremental clustering for very large document databases: Initial MARIAN experience F Can, EA Fox, CD Snavely, RK France Information sciences 84 (1-2), 101-114, 1995 | 48 | 1995 |
GOOWE: Geometrically optimum and online-weighted ensemble classifier for evolving data streams HR Bonab, F Can ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (2), 1-33, 2018 | 47 | 2018 |
Automatic tag expansion using visual similarity for photo sharing websites SG Sevil, O Kucuktunc, P Duygulu, F Can Multimedia Tools and Applications 49, 81-99, 2010 | 38 | 2010 |