An Application of Genetic Programming to the 4-Op Problem Using Map-Trees. - Tevfik Aytekin; Emin Erkan Korkmaz; H. Altay Güvenir (Evo Workshops, 1994)

Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations. - Olcay Kursun; Tevfik Aytekin (ASONAM, 2012)

How Similar is Rating Similarity to Content Similarity? - Osman Baskaya; Tevfik Aytekin (RUE@RecSys, 2012)

Improving the performance of active voxel selection in the analysis of fMRI data using genetic algorithms. - Ceyhun Can Ülker; Tevfik Aytekin (BCI, 2013)

Clustering-based diversity improvement in top-N recommendation. - Tevfik Aytekin; Mahmut Özge Karakaya (J. Intell. Inf. Syst., 2014)

An ensemble approach for multi-label classification of item click sequences. - A. Murat Yagci; Tevfik Aytekin; Fikret S. Gürgen (RecSys Challenge, 2015)

Locality sensitive hashing based scalable collaborative filtering. - Ahmet Maruf Aytekin; Tevfik Aytekin (SIU, 2015)

Real time distributed analysis of MPLS network logs for anomaly detection. - Muhammed Macit; Emrullah Delibas; Bahtiyar Karanlik; Alperen Inal; Tevfik Aytekin (NOMS, 2016)

Balanced random forest for imbalanced data streams. - A. Murat Yagci; Tevfik Aytekin; Fikret S. Gürgen (SIU, 2016)

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems. - A. Murat Yagci; Tevfik Aytekin; Fikret S. Gürgen (RecSys, 2017)

Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream. - A. Murat Yagci; Tevfik Aytekin; Fikret S. Gürgen (Eng. Appl. Artif. Intell., 2017)

Incorporating Aggregate Diversity in Recommender Systems Using Scalable Optimization Approaches. - Ibrahim Muter; Tevfik Aytekin (INFORMS J. Comput., 2017)

Effective methods for increasing aggregate diversity in recommender systems. - Mahmut Özge Karakaya; Tevfik Aytekin (Knowl. Inf. Syst., 2018)

SENTIMENT ANALYSIS IN TURKISH FILM COMMENTS. - Abdullah Uslu; Sefa Tekin; Tevfik Aytekin (SIU, 2019)

Short term water demand forecasting using regional data. - Tugba Zeynep Yildiz; Tevfik Aytekin (SIU, 2019)

Parallel pairwise learning to rank for collaborative filtering. - A. Murat Yagci; Tevfik Aytekin; Fikret S. Gürgen (Concurr. Comput. Pract. Exp., 2019)

Real-time recommendation with locality sensitive hashing. - Ahmet Maruf Aytekin; Tevfik Aytekin (J. Intell. Inf. Syst., 2019)

A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering. - A. Murat Yagci; Tevfik Aytekin; Fikret S. Gürgen (Int. J. Pattern Recognit. Artif. Intell., 2020)

Integrating Individual and Aggregate Diversity in Top-N Recommendation. - Ethem Çanakoglu; Ibrahim Muter; Tevfik Aytekin (INFORMS J. Comput., 2021)

Duplicate product record detection engine for e-commerce platforms. - Osman Semih Albayrak; Tevfik Aytekin; Tolga Ahmet Kalayci (Expert Syst. Appl., 2022)

Movie Tag Prediction Using Multi-label Classification with BERT. - Mahmut Cakar; Tevfik Aytekin; Hunkar Ozcan (CCCE, 2024)

SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation. - Mert Burabak; Tevfik Aytekin (CoRR, 2024)

Evaluating Customer Segmentation Techniques in the Retail Sector. - Nur Diyabi; Duygu Çakir; Ömer Melih Gül; Tevfik Aytekin; Seifedine Nimer Kadry (Int. J. Interact. Multim. Artif. Intell., 2025)

Beyond One-Size-Fits-All Summarization: Customizing Summaries for Diverse Users. - Mehmet Samet Duran; Tevfik Aytekin (CoRR, 2025)