Tevfik Aytekin

25 papers A 1B 2Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An in-depth analysis of KernelSHAP and SamplingSHAP: assessing robustness, error, and efficiency. Knowl. Inf. Syst. Beyza Aydogan, Tevfik Aytekin
2025	J	`jnl`	Beyond One-Size-Fits-All Summarization: Customizing Summaries for Diverse Users. CoRR Mehmet Samet Duran, Tevfik Aytekin
2025	J	`jnl`	Evaluating Customer Segmentation Techniques in the Retail Sector. Int. J. Interact. Multim. Artif. Intell. Nur Diyabi, Duygu Çakir, Ömer Melih Gül, Tevfik Aytekin, Seifedine Nimer Kadry
2024	—	`conf`	Movie Tag Prediction Using Multi-label Classification with BERT. CCCE Mahmut Cakar, Tevfik Aytekin, Hunkar Ozcan
2024	J	`jnl`	SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation. CoRR Mert Burabak, Tevfik Aytekin
2022	J	`jnl`	Duplicate product record detection engine for e-commerce platforms. Expert Syst. Appl. Osman Semih Albayrak, Tevfik Aytekin, Tolga Ahmet Kalayci
2021	J	`jnl`	Integrating Individual and Aggregate Diversity in Top- INFORMS J. Comput. Ethem Çanakoglu, Ibrahim Muter, Tevfik Aytekin
2020	J	`jnl`	A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering. Int. J. Pattern Recognit. Artif. Intell. A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
2019	J	`jnl`	Parallel pairwise learning to rank for collaborative filtering. Concurr. Comput. Pract. Exp. A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
2019	J	`jnl`	Real-time recommendation with locality sensitive hashing. J. Intell. Inf. Syst. Ahmet Maruf Aytekin, Tevfik Aytekin
2019	—	`conf`	SENTIMENT ANALYSIS IN TURKISH FILM COMMENTS. SIU Abdullah Uslu, Sefa Tekin, Tevfik Aytekin
2019	—	`conf`	Short term water demand forecasting using regional data. SIU Tugba Zeynep Yildiz, Tevfik Aytekin
2018	J	`jnl`	Effective methods for increasing aggregate diversity in recommender systems. Knowl. Inf. Syst. Mahmut Özge Karakaya, Tevfik Aytekin
2017	J	`jnl`	Incorporating Aggregate Diversity in Recommender Systems Using Scalable Optimization Approaches. INFORMS J. Comput. Ibrahim Muter, Tevfik Aytekin
2017	A	`conf`	On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems. RecSys A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
2017	J	`jnl`	Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream. Eng. Appl. Artif. Intell. A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
2016	—	`conf`	Balanced random forest for imbalanced data streams. SIU A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
2016	B	`conf`	Real time distributed analysis of MPLS network logs for anomaly detection. NOMS Muhammed Macit, Emrullah Delibas, Bahtiyar Karanlik, Alperen Inal, Tevfik Aytekin
2015	—	`conf`	An ensemble approach for multi-label classification of item click sequences. RecSys Challenge A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
2015	—	`conf`	Locality sensitive hashing based scalable collaborative filtering. SIU Ahmet Maruf Aytekin, Tevfik Aytekin
2014	J	`jnl`	Clustering-based diversity improvement in top-N recommendation. J. Intell. Inf. Syst. Tevfik Aytekin, Mahmut Özge Karakaya
2013	—	`conf`	Improving the performance of active voxel selection in the analysis of fMRI data using genetic algorithms. BCI Ceyhun Can Ülker, Tevfik Aytekin
2012	B	`conf`	Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations. ASONAM Olcay Kursun, Tevfik Aytekin
2012	—	`conf`	How Similar is Rating Similarity to Content Similarity? RUE@RecSys Osman Baskaya, Tevfik Aytekin
1994	—	`conf`	An Application of Genetic Programming to the 4-Op Problem Using Map-Trees. Evo Workshops Tevfik Aytekin, Emin Erkan Korkmaz, H. Altay Güvenir