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Robert Feldhans
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2020 – today
- 2023
- [j1]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55(5): 5273-5297 (2023) - [c5]Sarah Schröder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer:
Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. IWANN (1) 2023: 134-145 - [c4]Robert Feldhans, Alexander Schulz, Johannes Kummert, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer:
Data Augmentation for Cardiovascular Time Series Data Using WaveNet. SSCI 2023: 836-841 - [c3]Johannes Kummert, Alexander Schulz, Robert Feldhans, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer:
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. SSCI 2023: 1292-1297 - 2022
- [i3]Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer:
The SAME score: Improved cosine based bias score for word embeddings. CoRR abs/2203.14603 (2022) - 2021
- [c2]Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier:
Drift Detection in Text Data with Document Embeddings. IDEAL 2021: 107-118 - [c1]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. IWANN (1) 2021: 101-112 - [i2]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. CoRR abs/2104.02459 (2021) - [i1]Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer:
Evaluating Metrics for Bias in Word Embeddings. CoRR abs/2111.07864 (2021)
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