Lukas Fischer
Orcid: 0000-0001-5303-6638Affiliations:
- Software Competence Center Hagenberg, Austria
According to our database1,
Lukas Fischer
authored at least 29 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
1
4
1
4
2
1
1
4
1
4
2
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
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
Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company.
Proceedings of the 2nd International Workshop on Responsible AI Engineering, 2024
Industrial Experience Report on AI-Assisted Coding in Professional Software Development.
LLM4CODE@ICSE, 2024
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner's Perspective.
Proceedings of the Database and Expert Systems Applications - DEXA 2024 Workshops, 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
Proceedings of the 31st European Symposium on Artificial Neural Networks, 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