10 Publikationen

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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. In: 2024 International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE). (IEEE International Joint Conference on Neural Networks (IJCNN), ).
    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: Hujun Yin; David Camacho; Peter Tino (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 13756). S. 313-325.
    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. In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE. S. 1-8.
    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.
    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. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE. S. 01-09.
    PUB | DOI
     
  • [4]
    2021 | Dissertation | PUB-ID: 2989295 OA
    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.; Lipstein, G.; Nelli, T.; Zhu, R.; Muennighoff, N.; Velioglu, R.; Rose, J.; Lippe, P.; Holla, N.; Chandra, S.; Rajamanickam, S.; Antoniou, G.; Shutova, E.; Yannakoudakis, H.; Sandulescu, V.; Ozertem, U.; Pantel, P.; Specia, L.; Parikh, D. (2021): The Hateful Memes Challenge: Competition Report. In: Hugo Jair Escalante; Katja Hofmann (Hrsg.): Proceedings of the NeurIPS 2020 Competition and Demonstration Track. PMLR. (Proceedings of Machine Learning Research, 133). S. 344-360.
    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. In: 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. In: 2018 3rd International Conference on Computer Science and Engineering (UBMK). IEEE. S. 303-307.
    PUB | DOI
     

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