PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164

  R. Velioglu, R.K.-W. Chan, and B. Hammer, “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), 2024.

  PUB | DOI | WoS | arXiv
   
• [9]
  

  2024 | Preprint | PUB-ID: 2999454

  R. Velioglu, et al., “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

  R. Velioglu, et al., “Explainable Artificial Intelligence for Improved Modeling of Processes”, Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, H. Yin, D. Camacho, and P. Tino, eds., Lecture Notes in Computer Science, vol. 13756, Cham: Springer International Publishing, 2022, pp.313-325.

  PUB | DOI
   
• [7]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982067

  L. Hermes, et al., “A Graph-based U-Net Model for Predicting Traffic in unseen Cities”, 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp.1-8.

  PUB | DOI
   
• [6]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961319

  O. Ozdemir, et al., “A comparative study of neural machine translation models for Turkish language”, Journal of Intelligent & Fuzzy Systems , vol. 42, 2022, pp. 2103-2113.

  PUB | DOI | WoS
   
• [5]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747

  A. Artelt, et al., “Evaluating Robustness of Counterfactual Explanations”, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Piscataway, NJ: IEEE, 2021, pp.01-09.

  PUB | DOI
   
• [4]
  

  2021 | Dissertation | PUB-ID: 2989295

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

  PUB | PDF
   
• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982064

  D. Kiela, et al., “The Hateful Memes Challenge: Competition Report”, Proceedings of the NeurIPS 2020 Competition and Demonstration Track, H.J. Escalante and K. Hofmann, eds., Proceedings of Machine Learning Research, vol. 133, PMLR, 2021, pp.344-360.

  PUB
   
• [2]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965471

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

  PUB | arXiv
   
• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965472

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

  PUB | DOI