Veysel Kocaman
PhD candidate / guest
- Name
- Dr. V. Kocaman
- Telephone
- +31 71 527 7061
- v.kocaman@liacs.leidenuniv.nl
PhD candidate / guest
- Science
- Leiden Inst of Advanced Computer Science
- Kocaman V. (20 February 2024), Learning from small samples (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Bäck T.H.W., Shir O.M.
- Aydogan M. & Kocaman V. (2023), TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites, Journal of Information Science 49(6): 1711-1725.
- Ul Haq H., Kocaman V. & Talby D. (2022), Deeper clinical document understanding using relation extraction. Veyseh A.P.B., Dernoncourt F., Nguyen T.H. & Lai V.D. (Eds.), Proceedings of the workshop on scientific document understanding. Thirty-Sixth AAAI Conference on Artificial Intelligence 22 February 2022 - 1 March 2022 no. 3164: CEUR.
- Kocaman V., Shir O. & Bäck T.H.W. (2021), Improving model accuracy for imbalanced image classification tasks by adding a final batch normalization layer: an empirical study, 2020 25th International conference on pattern recognition (ICPR). 25th International Conference on Pattern Recognition (ICPR2020) 10 January 2020 - 15 January 2020: IEEE. 10404-10411.
- Kocaman V., Shir O.M. & Bäck T.H.W. (2021), The unreasonable effectiveness of the final batch normalization layer. Bebis G. & Athitsos V. (Eds.), Advances in Visual Computing. ISVC 2021. 2021 International Symposium on Visual Computing 4 October 2021 - 6 October 2021 no. LNCS 13018. Advances in Visual Computing: International Symposium on Visual Computing. 81-93.
- Kocaman V. & Talby D. (2021), Biomedical named entity recognition at scale. Del Bimbo A., Cucchiara R., Sclaroff S., Farinella G.M., Mei T., Bertini M., Escalante H.J. & Vezzani R. (Eds.), Pattern Recognition. ICPR International Workshops and Challenges. 25th International Conference on Pattern Recognition (ICPR2020) 10 January 2020 - 15 January 2020 no. 12661. International Conference on Pattern Recognition: Springer. 635-646.
- Kocaman V. & Talby D. (2021), Spark NLP: natural language understanding at scale, Software Impacts 8: 100058.
- Kocaman V. & Talby D. (2021), Improving clinical document understanding on COVID-19 research with spark NLP. In: Veyseh A.P.B., Dernoncourt F., Nguyen T.H., Chang W. & Celi L.A. (Eds.) CEUR Workshop Proceedings. no. 2831 CEUR Workshop Proceedings: CEUR.