10 Publikationen
-
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164Velioglu, 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
-
-
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296Velioglu, 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
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982067Hermes, 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
-
-
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Artelt, 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
-
-
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982064Kiela, 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
-
-