PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164

  Velioglu, R., Chan, R. K. - W., & Hammer, B. (2024). FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. 2024 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks (IJCNN) New York: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IJCNN60899.2024.10651287

  PUB | DOI | WoS | arXiv
   
• [9]
  

  2024 | Preprint | PUB-ID: 2999454

  Velioglu, R., Bevandic, P., Chan, R., & Hammer, B. (2024). TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models. arXiv:2411.18350

  PUB | arXiv
   
• [8]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296

  Velioglu, R., Göpfert, J. P., Artelt, A., & Hammer, B. (2022). Explainable Artificial Intelligence for Improved Modeling of Processes. In H. Yin, D. Camacho, & P. Tino (Eds.), Lecture Notes in Computer Science: Vol. 13756. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (pp. 313-325). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21753-1_31

  PUB | DOI
   
• [7]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982067

  Hermes, L., Hammer, B., Melnik, A., Velioglu, R., Vieth, M., & Schilling, M. (2022). A Graph-based U-Net Model for Predicting Traffic in unseen Cities. 2022 International Joint Conference on Neural Networks (IJCNN), 1-8. IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892453

  PUB | DOI
   
• [6]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961319

  Ozdemir, O., Akin, E. S., Velioglu, R., & Dalyan, T. (2022). A comparative study of neural machine translation models for Turkish language. Journal of Intelligent & Fuzzy Systems , 42(3), 2103-2113. https://doi.org/10.3233/JIFS-211453

  PUB | DOI | WoS
   
• [5]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747

  Artelt, A., Vaquet, V., Velioglu, R., Hinder, F., Brinkrolf, J., Schilling, M., & Hammer, B. (2021). Evaluating Robustness of Counterfactual Explanations. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-09. Piscataway, NJ: IEEE. https://doi.org/10.1109/SSCI50451.2021.9660058

  PUB | DOI
   
• [4]
  

  2021 | Dissertation | PUB-ID: 2989295

  Velioglu, R. (2021). Detecting Hate Speech In Multimodal Memes Using Vision-Language Models.

  PUB | PDF
   
• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982064

  Kiela, D., Firooz, H., Mohan, A., Goswami, V., Singh, A., Fitzpatrick, C. A., Bull, P., et al. (2021). The Hateful Memes Challenge: Competition Report. In H. J. Escalante & K. Hofmann (Eds.), Proceedings of Machine Learning Research: Vol. 133. Proceedings of the NeurIPS 2020 Competition and Demonstration Track (pp. 344-360). PMLR.

  PUB
   
• [2]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965471

  Velioglu, R., & Rose, J. (2020). Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. arXiv:2012.12975

  PUB | arXiv
   
• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965472

  Velioglu, R., Yildiz, T., & Yildirim, S. (2018). Sentiment Analysis Using Learning Approaches Over Emojis for Turkish Tweets. 2018 3rd International Conference on Computer Science and Engineering (UBMK), 303-307. IEEE. https://doi.org/10.1109/UBMK.2018.8566260

  PUB | DOI