Taygun Kekec, David M.J. Tax (2021), Sem2Vec: Semantic Word Vectors with Bidirectional Constraint Propagations, In IEEE Transactions on Knowledge and Data Engineering Volume 33 p.1750-1762.

Yuanyuan Sun, Taygun Kekec, Adriaan Moelker, Wiro J. Niessen, Theo Van Walsum (2020), Transformation optimization and image blending for 3D liver ultrasound series stitching, Baowei Fei, Cristian A. Linte (Eds.), In Proceedings of SPIE : Medical Imaging 2020 Volume 11315, SPIE.

Taygun Kekec, David Mimno, David M.J. Tax (2019), Boosted negative sampling by quadratically constrained entropy maximization, In Pattern Recognition Letters Volume 125 p.310-317.

Taygun Kekec (2019), Exponential Word Embeddings: Models and Approximate Learning, PhD Thesis Delft University of Technology.

Hale Cetinay-Iyicil, Taygun Kekec, Fernando Kuipers, David Tax (2017), Markov Random Field for Wind Farm Planning, In 2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE) p.182-187, IEEE.

Taygun Kekec, David Tax (2016), Robust Gram Embeddings, In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing p.1060-1065, Association for Computational Linguistics.