- Jonas Bienzeisler, Lucas Triefenbach, Alexander Kombeiz, Matthäus Lottes, Christopher Vogel, Linus Grabenhenrich, Martina Fischer, Theresa Kocher, Lukas Niekrenz, Michael Dreher, Christoph Müller, Rainer Röhrig, Raphael W. Majeed:
A Federated and Distributed Data Management Infrastructure to Enable Public Health Surveillance from Intensive Care Unit Data. MIE 2022: 490-494 - Clara Dacho, David Gabauer, David Brunner, Lukas Fischer:
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Medical Imaging: Image Processing 2022 - 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 - 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] - Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements. CoRR abs/2201.10848 (2022) - Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Practical Secure Distributed Deep Learning. CoRR abs/2204.05765 (2022) - Andres Alvarez, Nico Denner, Zhe Feng, David Fischer, Yang Gao, Lukas Harsch, Sebastian Herz, Nick Le Large, Bach Nguyen, Carlos Rosero, Simon Schaefer, Alexander Terletskiy, Luca Wahl, Shaoxiang Wang, Jonona Yakupova, Haocen Yu:
The Software Stack That Won the Formula Student Driverless Competition. CoRR abs/2210.10933 (2022) - 2021
- Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient exascale discretizations: High-order finite element methods. Int. J. High Perform. Comput. Appl. 35(6): 527-552 (2021) - 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) - Alexander Schmidt, Florian Schellroth, Marc Fischer, Lukas Allimant, Oliver Riedel:
Reinforcement learning methods based on GPU accelerated industrial control hardware. Neural Comput. Appl. 33(18): 12191-12207 (2021) - 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) - Stefan Fischer, Rudolf Ramler, Lukas Linsbauer:
Comparing Automated Reuse of Scripted Tests and Model-Based Tests for Configurable Software. APSEC 2021: 421-430 - Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. DEXA Workshops 2021: 127-137 - 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 - Florian Imgrund, Lukas-Valentin Herm, Jonas Wanner, Christian Janiesch, Marcus Fischer, Axel Winkelmann:
Critical Success Factors for Process Modeling Projects - Analysis of Empirical Evidence. PACIS 2021: 201 - Stefan Fischer, Gabriela Karoline Michelon, Rudolf Ramler, Lukas Linsbauer, Alexander Egyed:
Automated Reuse of Test Cases for Highly Configurable Software Systems. Software Engineering 2021: 39-40 - Gabriela Karoline Michelon, Lukas Linsbauer, Wesley K. G. Assunção, Stefan Fischer, Alexander Egyed:
A Hybrid Feature Location Technique for Re-engineeringSingle Systems into Software Product Lines. VaMoS 2021: 11:1-11:9 - 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] - Wayan Wicke, Harald Unterweger, Jens Kirchner, Lukas Brand, Arman Ahmadzadeh, Doaa Ahmed, Vahid Jamali, Christoph Alexiou, Georg Fischer, Robert Schober:
Experimental System for Molecular Communication in Pipe Flow With Magnetic Nanoparticles. CoRR abs/2101.02201 (2021) - Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning. CoRR abs/2104.07060 (2021) - Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski:
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR abs/2105.10197 (2021) - Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski:
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. CoRR abs/2106.00512 (2021) - 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) - Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient Exascale Discretizations: High-Order Finite Element Methods. CoRR abs/2109.04996 (2021) - 2020
- Stefan Fischer, Gabriela Karoline Michelon, Rudolf Ramler, Lukas Linsbauer, Alexander Egyed:
Automated test reuse for highly configurable software. Empir. Softw. Eng. 25(6): 5295-5332 (2020) - Lukas Merker, Sebastian J. Fischer Calderon, Moritz Scharff, Jorge H. Alencastre Miranda, Carsten Behn:
Effects of Multi-Point Contacts during Object Contour Scanning Using a Biologically-Inspired Tactile Sensor. Sensors 20(7): 2077 (2020) - 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 - Philip Schildkamp, Lukas Harzenetter, Frank Leymann, Brigitte Mathiak, Claes Neuefeind, Uwe Breitenbücher, Anna Fischer:
Workshop on Modelling and Maintaining Research Applications in TOSCA. DH 2020 - Lukas Fischer, Samuel Läubli:
What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT. EAMT 2020: 215-224 - Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel:
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR 2020