Tobias Fuchs

According to our database, Tobias Fuchs authored at least 19 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust partial-label learning by leveraging class activation values.

Tobias Fuchs, Florian Kalinke

Mach. Learn., August, 2025

Partial-Label Learning with a Reject Option.

Tobias Fuchs, Florian Kalinke, Klemens Böhm

Trans. Mach. Learn. Res., 2025

Partial-Label Learning with Conformal Candidate Cleaning.

Tobias Fuchs, Florian Kalinke

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Milling using two mechatronically coupled robots.

Max Goebels, Jan Baumgärtner, Tobias Fuchs, Edgar Mühlbeier, Alexander Puchta, Jürgen Fleischer

CoRR, 2024

Uncertainty-Aware Partial-Label Learning.

Tobias Fuchs, Florian Kalinke, Klemens Böhm

CoRR, 2024

Codes and Ciphers: A Digital Escape Room for Secondary Schools (Practical Report).

Wolfgang Pfeffer, Tobias Fuchs, Luisa Greifenstein, Ute Heuer

Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research, 2024

2023

Impact of Hint Content on Performance and Learning: A Study with Primary School Children in a Scratch Course.

Luisa Greifenstein, Markus Brune, Tobias Fuchs, Ute Heuer, Gordon Fraser

Proceedings of the 18th WiPSCE Conference on Primary and Secondary Computing Education Research, 2023

Active Learning for SAT Solver Benchmarking.

Tobias Fuchs, Jakob Bach, Markus Iser

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

2020

DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space.

Karl Fürlinger, José Gracia, Andreas Knüpfer, Tobias Fuchs, Denis Hünich, Pascal Jungblut, Roger Kowalewski, Joseph Schuchart

Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020

2018

Design of an Algorithm for Automated, Computer-Guided PASI Measurements by Digital Image Analysis.

Christine Fink, Tobias Fuchs, Alexander Enk, Holger A. Haenssle

J. Medical Syst., 2018

A Portable Multidimensional Coarray for C++.

Felix MoBbauer, Roger Kowalewski, Tobias Fuchs, Karl Fürlinger

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Utilizing Heterogeneous Memory Hierarchies in the PGAS Model.

Roger Kowalewski, Tobias Fuchs, Karl Fürlinger, Tobias Guggemos

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Investigating the performance and productivity of DASH using the Cowichan problems.

Karl Fürlinger, Roger Kowalewski, Tobias Fuchs, Benedikt Lehmann

Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018

2017

Runtime Support for Distributed Dynamic Locality.

Tobias Fuchs, Karl Fürlinger

Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

2016

Tool Support for Developing DASH Applications.

Denis Hünich, Andreas Knüpfer, Sebastian Oeste, Karl Fürlinger, Tobias Fuchs

Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Expressing and Exploiting Multi-Dimensional Locality in DASH.

Tobias Fuchs, Karl Fürlinger

Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Effective use of the PGAS Paradigm: Driving Transformations and Self-Adaptive Behavior in DASH-Applications.

Kamran Idrees, Tobias Fuchs, Colin W. Glass

CoRR, 2016

DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms.

Karl Fürlinger, Tobias Fuchs, Roger Kowalewski

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

A Multi-dimensional Distributed Array Abstraction for PGAS.

Tobias Fuchs, Karl Fürlinger

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016