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An Nguyen
List of publications:
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Machine Learning and Data Analytics Lab
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Project Leads
(1)
Publications
(14)
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
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Translation
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Thesis
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Edited Volume
Conference contribution
Conference contribution
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Other publication type
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How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series (2024)
Dietz S, Altstidl TR, Zanca D, Eskofier B, Nguyen A
Conference contribution, Conference Contribution
Assessing the Performance of Remaining Time Prediction Methods for Business Processes (2024)
Roider J, Nguyen A, Zanca D, Eskofier B
Journal article, Original article
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks (2023)
Altstidl TR, Nguyen A, Schwinn L, Köferl F, Mutschler C, Eskofier B, Zanca D
Conference contribution, Original article
Exploring misclassifications of robust neural networks to enhance adversarial attacks (2023)
Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B
Journal article
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification (2022)
Schwinn L, Bungert L, Nguyen A, Raab R, Pulsmeyer F, Precup D, Eskofier B, Zanca D
Conference contribution, Conference Contribution
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI (2022)
Ede S, Baghdadlian S, Weber L, Nguyen A, Zanca D, Samek W, Lapuschkin S
Conference contribution
System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data (2021)
Nguyen A, Foerstel S, Kittler T, Kurzyukov A, Schwinn L, Zanca D, Hipp T, et al.
Journal article, Original article
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks (2021)
Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B
Conference contribution, Conference Contribution
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks (2021)
Schwinn L, Nguyen A, Raab R, Zanca D, Eskofier B, Tenbrinck D, Burger M
Conference contribution, Conference Contribution
Identifying untrustworthy predictions in neural networks by geometric gradient analysis (2021)
Schwinn L, Nguyen A, Raab R, Bungert L, Tenbrinck D, Zanca D, Burger M, Eskofier B
Conference contribution, Conference Contribution
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