Manuel Schmitt

26 papers A 6C 1Misc 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Terminal end-on coordination of dinitrogen versus isoelectronic CO: A comparison using the charge displacement analysis.
J. Comput. Chem.
Manuel Schmitt, Ingo Krossing
2022 J jnl
Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax.
Nat. Comput.
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Rolf Wanka
2022 Misc conf
ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning.
ICASSP
Christian Bergler, Manuel Schmitt, Andreas K. Maier, Rachael Xi Cheng, Volker Barth, Elmar Nöth
2022 A conf
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning.
INTERSPEECH
Christian Bergler, Alexander Barnhill, Dominik Perrin, Manuel Schmitt, Andreas K. Maier, Elmar Nöth
2021 A conf
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification.
Interspeech
Christian Bergler, Manuel Schmitt, Andreas K. Maier, Helena Symonds, Paul Spong, Steven R. Ness, George Tzanetakis, Elmar Nöth
2020 A conf
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication.
INTERSPEECH
Christian Bergler, Manuel Schmitt, Andreas Maier, Simeon Smeele, Volker Barth, Elmar Nöth
2020 J jnl
Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves.
Swarm Intell.
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
2019 A conf
Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach.
INTERSPEECH
Christian Bergler, Manuel Schmitt, Rachael Xi Cheng, Andreas K. Maier, Volker Barth, Elmar Nöth
2019 — conf
Deep Representation Learning for Orca Call Type Classification.
TSD
Christian Bergler, Manuel Schmitt, Rachael Cheng, Hendrik Schröter, Andreas K. Maier, Volker Barth, Michael Weber, Elmar Nöth
2019 J jnl
Exact Markov Chain-based Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax.
CoRR
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Rolf Wanka
2019 J jnl
Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization.
CoRR
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
2019 J jnl
Theory of particle swarm optimization: A survey of the power of the swarm's potential.
it Inf. Technol.
Bernd Bassimir, Alexander Raß, Manuel Schmitt
2017 A conf
Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax.
FOGA
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Andreas Siegling, Rolf Wanka
2015 — conf
Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis.
GECCO (Companion)
Alexander Raß, Manuel Schmitt, Rolf Wanka
2015 J jnl
Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis.
CoRR
Alexander Raß, Manuel Schmitt, Rolf Wanka
2015 — ch.
Konvergenzanalyse für die Partikelschwarmoptimierung.
Ausgezeichnete Informatikdissertationen
Manuel Schmitt
2015 C conf
Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation.
CIBCB
Lydia Schwab, Manuel Schmitt, Rolf Wanka
2015 J jnl
Particle swarm optimization almost surely finds local optima.
Theor. Comput. Sci.
Manuel Schmitt, Rolf Wanka
2014 — conf
How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?
ICSIBO
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
2014 — conf
Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality.
ICAIS
Vanessa Lange, Manuel Schmitt, Rolf Wanka
2014 J jnl
Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality.
CoRR
Vanessa Lange, Manuel Schmitt, Rolf Wanka
2013 J jnl
Exploiting Independent Subformulas: A Faster Approximation Scheme for #k-SAT
CoRR
Manuel Schmitt, Rolf Wanka
2013 J jnl
Exploiting independent subformulas: A faster approximation scheme for #k-SAT.
Inf. Process. Lett.
Manuel Schmitt, Rolf Wanka
2013 A conf
Particle swarm optimization almost surely finds local optima.
GECCO
Manuel Schmitt, Rolf Wanka
2013 J jnl
Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm
CoRR
Manuel Schmitt, Rolf Wanka
2013 — conf
Particles prefer walking along the axes: experimental insights into the behavior of a particle swarm.
GECCO (Companion)
Manuel Schmitt, Rolf Wanka