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ORCIDA. Murat Yagci
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2020 – today
- 2020
[j5]A. Murat Yagci
, Tevfik Aytekin, Fikret S. Gürgen:
A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering. Int. J. Pattern Recognit. Artif. Intell. 34(3): 2059007:1-2059007:20 (2020)
2010 – 2019
- 2019
- [b1]A. Murat Yagci:
Efficient personalized learning to rank from implicit feedback for time-sensitive recommendations (Zaman duyarlı öneriler için örtük geri bildirimden verimli şekilde kişiselleştirilmiş sıralama öğrenme). Boğaziçi University, Turkey, 2019 - [j4]A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen:
Parallel pairwise learning to rank for collaborative filtering. Concurr. Comput. Pract. Exp. 31(15) (2019) - 2017
- [j3]A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen:
Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream. Eng. Appl. Artif. Intell. 58: 171-184 (2017) - [c6]A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen:
On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems. RecSys 2017: 37-41 - 2016
- [c5]A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen:
Balanced random forest for imbalanced data streams. SIU 2016: 1065-1068 - 2015
- [c4]A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen:
An ensemble approach for multi-label classification of item click sequences. RecSys Challenge 2015: 7:1-7:4 - 2013
- [c3]A. Murat Yagci, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin, Lale Akarun, Fikret Gürgen:
Biomedical image time series registration with particle filtering. SIU 2013: 1-4 - 2012
- [j2]Selim Mimaroglu, A. Murat Yagci:
CLICOM: Cliques for combining multiple clusterings. Expert Syst. Appl. 39(2): 1889-1901 (2012) - [j1]Selim Mimaroglu, A. Murat Yagci, Dan A. Simovici:
Approximative distance computation by random hashing. J. Supercomput. 61(3): 572-589 (2012) - [c2]Ertunc Erdil, A. Murat Yagci, Ali Ozgur Argunsah, Y. Ramiro-Cortes, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay:
A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation. IPTA 2012: 167-171
2000 – 2009
- 2009
- [c1]Selim Mimaroglu, A. Murat Yagci:
A binary method for fast computation of inter and intra cluster similarities for combining multiple clusterings. ICIS 2009: 452-456
Coauthor Index
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