FAZLI CAN

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Hamed BonabApplied Scientist @AmazonVerified email at amazon.com
Ismail Sengor AltingovdeProfessor of Computer Engineering, Middle East Technical University (METU)Verified email at ceng.metu.edu.tr
Dilek KüçükChief Researcher & Associate Professor, TÜBİTAK, Marmara Research CenterVerified email at tubitak.gov.tr
Ethem CanVerified email at cs.umass.edu
Rabia Nuray-TuranPrincipal Machine Learning EngineerVerified email at interos.ai
Özgür UlusoyProfessor of Computer Engineering, Bilkent UniversityVerified email at cs.bilkent.edu.tr
Cevdet AykanatProfessor of Computer Engineering, Bilkent UniversityVerified email at cs.bilkent.edu.tr
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerified email at cs.hacettepe.edu.tr
Cagri ToramanUniversity of Central FloridaVerified email at ucf.edu
Süleyman KardaşAssist. Prof. at Batman UniversityVerified email at batman.edu.tr
Berkant Barla CambazogluRMIT UniversityVerified email at rmit.edu.au
Tayfun KucukyilmazErasmus University, RotterdamVerified email at rsm.nl
Engin DemirAssistant Professor of Computer Engineering, Hacettepe UniversityVerified email at cs.hacettepe.edu.tr
Alican BüyükçakırSoftware Engineer @ ToolioVerified email at toolio.com
Ömer GözüaçıkMachine Learning EngineerVerified email at deel.com
Onur KucuktuncGoogleVerified email at google.com
Ayisigi Sevdik CalliInstructor, Bilkent UniversityVerified email at bilkent.edu.tr
Cem AksoyPhD candidate at New Jersey Institute of TechnologyVerified email at njit.edu
Pablo CastellsProfessor, Universidad Autónoma de Madrid, AmazonVerified email at uam.es
Rodrygo L. T. SantosUniversidade Federal de Minas GeraisVerified email at dcc.ufmg.br

FAZLI CAN

Bilkent University

Verified email at cs.bilkent.edu.tr - Homepage

Information retrieval Data mining all pubs hand verified to be actually mine


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Incremental clustering for dynamic information processing F Can ACM Transactions on Information Systems (TOIS) 11 (2), 143-164, 1993	283	1993
Stance detection: A survey D Küçük, F Can ACM Computing Surveys (CSUR) 53 (1), 1-37, 2020	271	2020
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	220	1990
Automatic ranking of information retrieval systems using data fusion R Nuray, F Can Information processing & management 42 (3), 595-614, 2006	215	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	162	2008
Change of writing style with time F Can, JM Patton Computers and the Humanities 38, 61-82, 2004	152	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	131	2008
Automatic performance evaluation of Web search engines F Can, R Nuray, AB Sevdik Information processing & management 40 (3), 495-514, 2004	130	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	107	2019
Chat mining for gender prediction T Kucukyilmaz, BB Cambazoglu, C Aykanat, F Can Advances in Information Systems: 4th International Conference, ADVIS 2006 …, 2006	105	2006
Multilingual sentiment analysis: An RNN-based framework for limited data EF Can, A Ezen-Can, F Can arXiv preprint arXiv:1806.04511, 2018	90	2018
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
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	65	2019
Efficiency and effectiveness of query processing in cluster-based retrieval F Can, IS Altingövde, E Demir Information Systems 29 (8), 697-717, 2004	65	2004
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	55	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	50	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	47	1995
Concept learning using one-class classifiers for implicit drift detection in evolving data streams Ö Gözüaçık, F Can Artificial Intelligence Review 54, 3725-3747, 2021	42	2021
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	42	2018
Two partitioning type clustering algorithms F Can, EA Ozkarahan Journal of the American Society for Information Science 35 (5), 268-276, 1984	39	1984

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