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ORCIDLukas Fischer 0001
Person information
- affiliation: Software Competence Center Hagenberg, Austria
Other persons with the same name
- Lukas Fischer 0002 — Goethe University Frankfurt, Germany
- Lukas Fischer 0003 — University of Zurich, Department of Computational Linguistics, Switzerland (and 1 more)
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2020 – today
- 2024
[j9]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
:
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. J. Artif. Intell. Res. 79: 515-567 (2024)- [c14]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint). IJCAI 2024: 8480 - [c13]Rudolf Ramler, Michael Moser, Lukas Fischer, Markus Nissl, René Heinzl:
Industrial Experience Report on AI-Assisted Coding in Professional Software Development. LLM4CODE@ICSE 2024: 1-7 - [c12]Bernhard Schenkenfelder, Ulrich Brandstätter, Lukas Fischer, Rudolf Ramler, Dominik Laister, Martin Hartl, Markus Wurm:
Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company. RAIE@ICSE 2024: 8-15 - 2023
- [j8]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning. Algorithms 16(9): 450 (2023) - [j7]Cornelia Travnicek, Veronika Nowak, Rudolf Ramler, Lukas Fischer, Katja Bühler:
Examples of Long-Term Science-Industry Partnerships for Translational Computer Science. Comput. Sci. Eng. 25(1): 52-56 (2023) - [j6]Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler:
Membership Mappings for Practical Secure Distributed Deep Learning. IEEE Trans. Fuzzy Syst. 31(8): 2617-2631 (2023) - [c11]Mohit Kumar, Bernhard Moser, Lukas Fischer:
Secure Federated Learning with Kernel Affine Hull Machines. ESANN 2023 - [i7]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
Kernel Affine Hull Machines for Differentially Private Learning. CoRR abs/2304.01300 (2023) - 2022
- [j5]Mostafa Shahriari, Rudolf Ramler, Lukas Fischer:
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? Mach. Learn. Knowl. Extr. 4(4): 888-911 (2022) - [c10]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data. DEXA Workshops 2022: 55-66 - [c9]Katja Bühler, Cornelia Travnicek, Veronika Nowak, Edgar R. Weippl, Lukas Fischer, Rudolf Ramler, Robert Wille:
Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers. DEXA Workshops 2022: 155-166 - [c8]Clara Dacho, David Gabauer, David Brunner, Lukas Fischer:
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Image Processing 2022 - [c7]Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek:
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. SYNASC 2022: 1-8 - [e3]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martínez Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech:
Database and Expert Systems Applications - DEXA 2022 Workshops - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Communications in Computer and Information Science 1633, Springer 2022, ISBN 978-3-031-14342-7 [contents] - [i6]Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Practical Secure Distributed Deep Learning. CoRR abs/2204.05765 (2022) - 2021
- [j4]Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser:
AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. 3(1): 56-83 (2021) - [j3]Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl:
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1934-1949 (2021) - [c6]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. DEXA Workshops 2021: 127-137 - [c5]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder. DEXA Workshops 2021: 138-147 - [e2]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martínez Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan:
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings. Communications in Computer and Information Science 1479, Springer 2021, ISBN 978-3-030-87100-0 [contents] - [i5]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning. CoRR abs/2104.07060 (2021) - [i4]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework. CoRR abs/2106.06046 (2021) - 2020
- [c4]Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser:
Applying AI in Practice: Key Challenges and Lessons Learned. CD-MAKE 2020: 451-471 - [c3]Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser:
Beyond federated learning: On confidentiality-critical machine learning applications in industry. ISM 2020: 734-743 - [e1]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Lukas Fischer, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martínez Gil:
Database and Expert Systems Applications - DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14-17, 2020, Proceedings. Communications in Computer and Information Science 1285, Springer 2020, ISBN 978-3-030-59027-7 [contents]
2010 – 2019
- 2019
- [j2]Hamid Eghbal-Zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
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. 26(6): 572-596 (2019) - [c2]Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch:
On Conditioning GANs to Hierarchical Ontologies. DEXA Workshops 2019: 182-186 - [i3]Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch:
On Conditioning GANs to Hierarchical Ontologies. CoRR abs/1905.06586 (2019) - [i2]Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury:
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. CoRR abs/1907.12975 (2019) - 2018
- [i1]Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Khaled Koutini, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR abs/1806.08840 (2018) - 2017
- [j1]Sebastian F. Baumbach, Jakob Binder, Alexander Synek, Fabian G. Mück, Yan Chevalier, Ekkehard Euler, Georg Langs, Lukas Fischer:
Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models. BMC Medical Imaging 17(1): 23:1-23:9 (2017) - 2015
- [c1]Alexander Valentinitsch, Lukas Fischer, Janina Patsch, Jan Bauer, Franz Kainberger, Georg Langs, Matthew D. DiFranco:
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT. Image Processing 2015: 94131D
Coauthor Index
aka: Bernhard Alois Moser
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last updated on 2024-12-08 02:22 CET by the dblp team
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