Manuel Schmitt

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 13

Top Topics

Medical Image Registration

Optimization Algorithm

Top Venues

GECCO (Companion)

Publications

Manuel Schmitt, Ingo Krossing
Terminal end-on coordination of dinitrogen versus isoelectronic CO: A comparison using the charge displacement analysis. J. Comput. Chem. 44 (3) (2023)
Christian Bergler, Manuel Schmitt, Andreas K. Maier, Rachael Xi Cheng, Volker Barth, Elmar Nöth
ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. ICASSP (2022)
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Rolf Wanka
Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax. Nat. Comput. 21 (4) (2022)
Christian Bergler, Alexander Barnhill, Dominik Perrin, Manuel Schmitt, Andreas K. Maier, Elmar Nöth
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. INTERSPEECH (2022)
Christian Bergler, Manuel Schmitt, Andreas K. Maier, Helena Symonds, Paul Spong, Steven R. Ness, George Tzanetakis, Elmar Nöth
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. Interspeech (2021)
Christian Bergler, Manuel Schmitt, Andreas Maier, Simeon Smeele, Volker Barth, Elmar Nöth
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. INTERSPEECH (2020)
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves. Swarm Intell. 14 (4) (2020)
Bernd Bassimir, Alexander Raß, Manuel Schmitt
Theory of particle swarm optimization: A survey of the power of the swarm's potential. it Inf. Technol. 61 (4) (2019)
Christian Bergler, Manuel Schmitt, Rachael Cheng, Hendrik Schröter, Andreas K. Maier, Volker Barth, Michael Weber, Elmar Nöth
Deep Representation Learning for Orca Call Type Classification. TSD (2019)
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Rolf Wanka
Exact Markov Chain-based Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax. CoRR (2019)
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization. CoRR (2019)
Christian Bergler, Manuel Schmitt, Rachael Xi Cheng, Andreas K. Maier, Volker Barth, Elmar Nöth
Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach. INTERSPEECH (2019)
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Andreas Siegling, Rolf Wanka
Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax. FOGA (2017)
Alexander Raß, Manuel Schmitt, Rolf Wanka
Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis. GECCO (Companion) (2015)
Alexander Raß, Manuel Schmitt, Rolf Wanka
Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis. CoRR (2015)
Lydia Schwab, Manuel Schmitt, Rolf Wanka
Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation. CIBCB (2015)
Manuel Schmitt
Konvergenzanalyse für die Partikelschwarmoptimierung. Ausgezeichnete Informatikdissertationen (2015)
Manuel Schmitt, Rolf Wanka
Particle swarm optimization almost surely finds local optima. Theor. Comput. Sci. 561 (2015)
Vanessa Lange, Manuel Schmitt, Rolf Wanka
Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality. CoRR (2014)
Vanessa Lange, Manuel Schmitt, Rolf Wanka
Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality. ICAIS (2014)
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge? ICSIBO (2014)
Manuel Schmitt, Rolf Wanka
Exploiting Independent Subformulas: A Faster Approximation Scheme for #k-SAT CoRR (2013)
Manuel Schmitt, Rolf Wanka
Exploiting independent subformulas: A faster approximation scheme for #k-SAT. Inf. Process. Lett. 113 (9) (2013)
Manuel Schmitt, Rolf Wanka
Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm CoRR (2013)
Manuel Schmitt, Rolf Wanka
Particle swarm optimization almost surely finds local optima. GECCO (2013)
Manuel Schmitt, Rolf Wanka
Particles prefer walking along the axes: experimental insights into the behavior of a particle swarm. GECCO (Companion) (2013)