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Ali Cevahir
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2020 – today
- 2022
- [c6]Ali Cevahir, Kentaro Kanada:
Multi-purpose Recommender Platform using Perceiver IO. ICDM (Workshops) 2022: 975-978 - [i1]Tianyu Li, Ali Cevahir, Derek Cho, Hao Gong, DuyKhuong Nguyen, Björn Stenger:
UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision. CoRR abs/2202.07605 (2022)
2010 – 2019
- 2017
- [j4]Ali Cevahir:
Index partitioning through a bipartite graph model for faster similarity search in recommendation systems. Inf. Syst. Frontiers 19(5): 1161-1176 (2017) - 2016
- [c5]Ali Cevahir, Koji Murakami:
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant. COLING 2016: 525-535 - 2014
- [c4]Ali Cevahir:
Scalable Textual Similarity Search on Large Document Collections Through Random Indexing and K-means Clustering. PAKDD Workshops 2014: 231-238 - 2013
- [j3]Ali Cevahir, Junji Torii:
High Performance Online Image Search with GPUs on Large Image Databases. Int. J. Multim. Data Eng. Manag. 4(3): 24-41 (2013) - 2012
- [c3]Ali Cevahir, Junji Torii:
GPU-Enabled High Performance Online Visual Search with High Accuracy. ISM 2012: 413-420 - 2011
- [j2]Ali Cevahir, Cevdet Aykanat, Ata Turk, Berkant Barla Cambazoglu:
Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation. IEEE Trans. Parallel Distributed Syst. 22(5): 786-802 (2011) - 2010
- [j1]Ali Cevahir, Akira Nukada, Satoshi Matsuoka:
High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning. Comput. Sci. Res. Dev. 25(1-2): 83-91 (2010)
2000 – 2009
- 2009
- [c2]Ali Cevahir, Akira Nukada, Satoshi Matsuoka:
Fast Conjugate Gradients with Multiple GPUs. ICCS (1) 2009: 893-903 - 2006
- [c1]Ali Cevahir, Cevdet Aykanat, Ata Turk, Berkant Barla Cambazoglu:
A Web-Site-Based Partitioning Technique for Reducing Preprocessing Overhead of Parallel PageRank Computation. PARA 2006: 908-918
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