PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [10]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164

  Velioglu R, Chan RK-W, Hammer B. FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. In: 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); 2024.

  PUB | DOI | WoS | arXiv
   
• [9]
  

  2024 | Preprint | PUB-ID: 2999454

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

  PUB | arXiv
   
• [8]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296

  Velioglu R, Göpfert JP, Artelt A, Hammer B. Explainable Artificial Intelligence for Improved Modeling of Processes. In: Yin H, Camacho D, Tino P, eds. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Lecture Notes in Computer Science. Vol 13756. Cham: Springer International Publishing; 2022: 313-325.

  PUB | DOI
   
• [7]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982067

  Hermes L, Hammer B, Melnik A, Velioglu R, Vieth M, Schilling M. A Graph-based U-Net Model for Predicting Traffic in unseen Cities. In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE; 2022: 1-8.

  PUB | DOI
   
• [6]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961319

  Ozdemir O, Akin ES, Velioglu R, Dalyan T. A comparative study of neural machine translation models for Turkish language. Journal of Intelligent & Fuzzy Systems . 2022;42(3):2103-2113.

  PUB | DOI | WoS
   
• [5]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747

  Artelt A, Vaquet V, Velioglu R, et al. Evaluating Robustness of Counterfactual Explanations. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE; 2021: 01-09.

  PUB | DOI
   
• [4]
  

  2021 | Dissertation | PUB-ID: 2989295

  Velioglu R. Detecting Hate Speech In Multimodal Memes Using Vision-Language Models.; 2021.

  PUB | PDF
   
• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982064

  Kiela D, Firooz H, Mohan A, et al. The Hateful Memes Challenge: Competition Report. In: Escalante HJ, Hofmann K, eds. Proceedings of the NeurIPS 2020 Competition and Demonstration Track. Proceedings of Machine Learning Research. Vol 133. PMLR; 2021: 344-360.

  PUB
   
• [2]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965471

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

  PUB | arXiv
   
• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965472

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

  PUB | DOI