Lukas Fischer
Orcid: 0000-0001-5303-6638Affiliations:
- Software Competence Center Hagenberg, Austria
According to our database1,
Lukas Fischer
authored at least 24 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach.
J. Artif. Intell. Res., 2024
2023
IEEE Trans. Fuzzy Syst., 2023
Examples of Long-Term Science-Industry Partnerships for Translational Computer Science.
Comput. Sci. Eng., 2023
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning.
Algorithms, 2023
2022
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
Mach. Learn. Knowl. Extr., December, 2022
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way.
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022
2021
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation.
IEEE Trans. Medical Imaging, 2021
Mach. Learn. Knowl. Extr., 2021
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework.
CoRR, 2021
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021
2020
Beyond federated learning: On confidentiality-critical machine learning applications in industry.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data.
J. Comput. Biol., 2019
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation.
CoRR, 2019
Proceedings of the Database and Expert Systems Applications, 2019
2018
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data.
CoRR, 2018
2017
Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models.
BMC Medical Imaging, 2017
2015
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT.
Proceedings of the Medical Imaging 2015: Image Processing, 2015