Lukas Fischer

35 papers A* 1B 3C 2Misc 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — ed.
Database and Expert Systems Applications - DEXA 2024 Workshops - IWCFS, AISys, CIU, Naples, Italy, August 26-28, 2024, Proceedings
DEXA Workshops
Bernhard Moser, Lukas Fischer, Atif Mashkoor, Johannes Sametinger, Anna-Christina Glock, Michael Mayr, Sabrina Luftensteiner
2024 — conf
Industrial Experience Report on AI-Assisted Coding in Professional Software Development.
LLM4CODE@ICSE
Rudolf Ramler, Michael Moser, Lukas Fischer, Markus Nissl, René Heinzl
2024 A* conf
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint).
IJCAI
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
2024 J jnl
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach.
J. Artif. Intell. Res.
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
2024 — conf
Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company.
RAIE@ICSE
Bernhard Schenkenfelder, Ulrich Brandstätter, Lukas Fischer, Rudolf Ramler, Dominik Laister, Martin Hartl, Markus Wurm
2024 — conf
Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner's Perspective.
DEXA Workshops
Magdalena Fuchs, Lukas Fischer, Alessio Montuoro, Mohit Kumar, Bernhard Alois Moser
2023 J jnl
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning.
Algorithms
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
2023 J jnl
Examples of Long-Term Science-Industry Partnerships for Translational Computer Science.
Comput. Sci. Eng.
Cornelia Travnicek, Veronika Nowak, Rudolf Ramler, Lukas Fischer, Katja Bühler
2023 J jnl
Kernel Affine Hull Machines for Differentially Private Learning.
CoRR
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
2023 J jnl
Membership Mappings for Practical Secure Distributed Deep Learning.
IEEE Trans. Fuzzy Syst.
Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler
2023 B conf
Secure Federated Learning with Kernel Affine Hull Machines.
ESANN
Mohit Kumar, Bernhard Moser, Lukas Fischer
2022 B conf
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound.
Image Processing
Clara Dacho, David Gabauer, David Brunner, Lukas Fischer
2022 — ed.
Database and Expert Systems Applications - DEXA 2022 Workshops - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings
DEXA Workshops
Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martinez-Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech
2022 J jnl
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
Mach. Learn. Knowl. Extr.
Mostafa Shahriari, Rudolf Ramler, Lukas Fischer
2022 J jnl
Membership-Mappings for Practical Secure Distributed Deep Learning.
CoRR
Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler
2022 Misc conf
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way.
SYNASC
Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek
2022 — conf
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data.
DEXA Workshops
Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler
2022 — conf
Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers.
DEXA Workshops
Katja Bühler, Cornelia Travnicek, Veronika Nowak, Edgar R. Weippl, Lukas Fischer, Rudolf Ramler, Robert Wille
2021 J jnl
AI System Engineering - Key Challenges and Lessons Learned.
Mach. Learn. Knowl. Extr.
Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser
2021 — ed.
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings
DEXA Workshops
Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan
2021 J jnl
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation.
IEEE Trans. Medical Imaging
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl
2021 J jnl
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework.
CoRR
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
2021 J jnl
Membership-Mappings for Data Representation Learning.
CoRR
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
2021 — conf
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder.
DEXA Workshops
Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler
2021 — conf
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization.
DEXA Workshops
Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler
2020 C conf
Applying AI in Practice: Key Challenges and Lessons Learned.
CD-MAKE
Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser
2020 C conf
Beyond federated learning: On confidentiality-critical machine learning applications in industry.
ISM
Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser
2020 — ed.
Database and Expert Systems Applications - DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14-17, 2020, Proceedings
DEXA Workshops
Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Lukas Fischer, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil
2019 J jnl
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation.
CoRR
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury
2019 J jnl
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.
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
2019 — conf
On Conditioning GANs to Hierarchical Ontologies.
DEXA Workshops
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
2019 J jnl
On Conditioning GANs to Hierarchical Ontologies.
CoRR
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
2018 J jnl
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data.
CoRR
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
2017 J jnl
Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models.
BMC Medical Imaging
Sebastian F. Baumbach, Jakob Binder, Alexander Synek, Fabian G. Mück, Yan Chevalier, Ekkehard Euler, Georg Langs, Lukas Fischer
2015 B conf
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT.
Image Processing
Alexander Valentinitsch, Lukas Fischer, Janina Patsch, Jan Bauer, Franz Kainberger, Georg Langs, Matthew D. DiFranco