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• [6]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572

  Schroeder, S., et al., 2024. Semantic Properties of Cosine Based Bias Scores for Word Embeddings. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, pp. 160-168.

  PUB | DOI
   
• [5]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457

  Schroeder, S., et al., 2023. Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In I. Rojas, G. Joya, & A. Catala, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 134-145.

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381

  Schroeder, S., et al., 2023. So Can We Use Intrinsic Bias Measures or Not? In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, pp. 403-410.

  PUB | DOI
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382

  Kenneweg, P., et al., 2023. Debiasing Sentence Embedders Through Contrastive Word Pairs. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, pp. 205-212.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600

  Kenneweg, P., Schroeder, S., & Hammer, B., 2022. Neural Architecture Search for Sentence Classification with BERT. In ESANN 2022 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com, pp. 417-422.

  PUB | DOI
   
• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096

  Kenneweg, P., et al., 2022. Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. In H. Yin, D. Camacho, & P. Tino, 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. no.13756 Cham: Springer International Publishing, pp. 252-261.

  PUB | DOI