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Riza Velioglu
Riza Velioglu
Ph.D. candidate at Bielefeld University
Verified email at uni-bielefeld.de - Homepage
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Cited by
Cited by
Year
Detecting hate speech in memes using multimodal deep learning approaches: Prize-winning solution to hateful memes challenge
R Velioglu, J Rose
arXiv preprint arXiv:2012.12975, 2020
712020
The hateful memes challenge: Competition report
D Kiela, H Firooz, A Mohan, V Goswami, A Singh, CA Fitzpatrick, P Bull, ...
NeurIPS 2020 Competition and Demonstration Track, 344-360, 2021
552021
Evaluating robustness of counterfactual explanations
A Artelt, V Vaquet, R Velioglu, F Hinder, J Brinkrolf, M Schilling, ...
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-09, 2021
402021
Sentiment analysis using learning approaches over emojis for Turkish tweets
R Velioğlu, T Yıldız, S Yıldırım
2018 3rd International Conference on Computer Science and Engineering (UBMK …, 2018
322018
Traffic4cast at neurips 2021-temporal and spatial few-shot transfer learning in gridded geo-spatial processes
C Eichenberger, M Neun, H Martin, P Herruzo, M Spanring, Y Lu, S Choi, ...
NeurIPS 2021 Competitions and Demonstrations Track, 97-112, 2022
122022
A graph-based U-net model for predicting traffic in unseen cities
L Hermes, B Hammer, A Melnik, R Velioglu, M Vieth, M Schilling
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
52022
Explainable artificial intelligence for improved modeling of processes
R Velioglu, JP Göpfert, A Artelt, B Hammer
International Conference on Intelligent Data Engineering and Automated …, 2022
32022
A comparative study of neural machine translation models for Turkish language
Ö Özdemir, ES Akın, R Velioğlu, T Dalyan
Journal of Intelligent & Fuzzy Systems, 1-11, 2022
22022
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation
R Velioglu, R Chan, B Hammer
arXiv preprint arXiv:2404.08582, 2024
2024
Detecting Hate Speech In Multimodal Memes Using Vision-Language Models
R Velioglu
rizavelioglu.github.io, 2021
2021
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Articles 1–10