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FAZLI CAN
Título
Citado por
Citado por
Ano
Stance detection: A survey
D Küçük, F Can
ACM Computing Surveys (CSUR) 53 (1), 1-37, 2020
4042020
Incremental clustering for dynamic information processing
F Can
ACM Transactions on Information Systems (TOIS) 11 (2), 143-164, 1993
2891993
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
2281990
Automatic ranking of information retrieval systems using data fusion
R Nuray, F Can
Information processing & management 42 (3), 595-614, 2006
2252006
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
1692008
Change of writing style with time
F Can, JM Patton
Computers and the Humanities 38, 61-82, 2004
1672004
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
1402019
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
1372008
Automatic performance evaluation of Web search engines
F Can, R Nuray, AB Sevdik
Information processing & management 40 (3), 495-514, 2004
1302004
Multilingual sentiment analysis: An RNN-based framework for limited data
EF Can, A Ezen-Can, F Can
arXiv preprint arXiv:1806.04511, 2018
1172018
Chat mining for gender prediction
T Kucukyilmaz, BB Cambazoglu, C Aykanat, F Can
Advances in Information Systems: 4th International Conference, ADVIS 2006 …, 2006
1102006
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
992019
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
842021
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
732010
Efficiency and effectiveness of query processing in cluster-based retrieval
F Can, IS Altingövde, E Demir
Information Systems 29 (8), 697-717, 2004
702004
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
672016
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
512008
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
482018
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
481995
Effects of stemming on Turkish text retrieval
A Solak, F Can
Proceedings of the Ninth Int. Symp. on Computer and Information Sciences …, 1994
411994
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