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Implicit Concept Drift Detection for Multi-label Data Streams


Jan 31, 2022
Ege Berkay Gulcan, Fazli Can

* 18 pages, 7 figures, submitted to Artificial Intelligence Review 

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A Broad Ensemble Learning System for Drifting Stream Classification


Oct 07, 2021
Sepehr Bakhshi, Pouya Ghahramanian, Hamed Bonab, Fazli Can

* Submitted to IEEE TKDE 

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On-the-Fly Ensemble Pruning in Evolving Data Streams


Sep 15, 2021
Sanem Elbasi, Alican Büyükçakır, Hamed Bonab, Fazli Can

* 5 pages, 2 figures 

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A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection


Jan 16, 2019
Dilek Küçük, Fazli Can

* 4 pages; resource URLs are made properly accessible (by clicking them) 

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Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers


Sep 29, 2018
Hamed Bonab, Fazli Can

* This is an extended version of the work presented as a short paper at the Conference on Information and Knowledge Management (CIKM), 2016 

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A Novel Online Stacked Ensemble for Multi-Label Stream Classification


Sep 26, 2018
Alican Büyükçakır, Hamed Bonab, Fazli Can

* 10 pages, 4 figures. To be appeared in ACM CIKM 2018, in Torino, Italy 

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Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data


Jun 08, 2018
Ethem F. Can, Aysu Ezen-Can, Fazli Can

* ACM SIGIR 2018 Workshop on Learning from Limited or Noisy Data (LND4IR'18) 

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Stance Detection on Tweets: An SVM-based Approach


Mar 23, 2018
Dilek Küçük, Fazli Can

* 13 pages 

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GOOWE: Geometrically Optimum and Online-Weighted Ensemble Classifier for Evolving Data Streams


Sep 08, 2017
Hamed R. Bonab, Fazli Can

* 33 Pages, Accepted for publication in The ACM Transactions on Knowledge Discovery from Data (TKDD) in August 2017 

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