Thomas Altstidl

13 papers A* 2B 2C 2Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection.
HICSS
Thomas Altstidl, Michael Altstidl, Stephan Achenbach, Bjoern M. Eskofier
2025 J jnl
ExSMART-PreRA: Explainable Survival and Risk Assessment Using Machine Learning for Time Estimation in Preclinical Rheumatoid Arthritis.
IEEE J. Biomed. Health Informatics
Fatemeh Salehi, Sara Bayat, Georg Schett, Arnd Kleyer, Thomas Altstidl, Bjoern M. Eskofier
2025 J jnl
Stratify or Die: Rethinking Data Splits in Image Segmentation.
CoRR
Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Björn M. Eskofier, Heike Leutheuser
2024 B conf
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series.
IJCNN
Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen
2024 J jnl
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series.
CoRR
Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen
2024 J jnl
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation.
CoRR
Björn Nieth, Thomas Altstidl, Leo Schwinn, Björn M. Eskofier
2024 C conf
Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models.
IPIN
Leon Brasseler, Maximilian Stahlke, Thomas Altstidl, Tobias Feigl, Christopher Mutschler
2024 A* conf
On the Scalability of Certified Adversarial Robustness with Generated Data.
NeurIPS
Thomas Altstidl, David Dobre, Arthur Kosmala, Bjoern M. Eskofier, Gauthier Gidel, Leo Schwinn
2023 B conf
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks.
IJCNN
Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
2023 J jnl
Raising the Bar for Certified Adversarial Robustness with Diffusion Models.
CoRR
Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn
2023 A* conf
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison.
NeurIPS
Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern M. Eskofier
2022 J jnl
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks.
CoRR
Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
2021 C conf
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning.
IPIN
Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler