Particles prefer walking along the axes: experimental insights into the behavior of a particle swarm. - Manuel Schmitt; Rolf Wanka (GECCO (Companion), 2013)

Exploiting independent subformulas: A faster approximation scheme for #k-SAT. - Manuel Schmitt; Rolf Wanka (Inf. Process. Lett., 2013)

Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality. - Vanessa Lange; Manuel Schmitt; Rolf Wanka (ICAIS, 2014)

How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge? - Bernd Bassimir; Manuel Schmitt; Rolf Wanka (ICSIBO, 2014)

Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation. - Lydia Schwab; Manuel Schmitt; Rolf Wanka (CIBCB, 2015)

Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis. - Alexander Raß; Manuel Schmitt; Rolf Wanka (GECCO (Companion), 2015)

Konvergenzanalyse für die Partikelschwarmoptimierung. - Manuel Schmitt (Ausgezeichnete Informatikdissertationen, 2015)

Particle swarm optimization almost surely finds local optima. - Manuel Schmitt; Rolf Wanka (Theor. Comput. Sci., 2015)

Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax. - Moritz Mühlenthaler; Alexander Raß; Manuel Schmitt; Andreas Siegling; Rolf Wanka (FOGA, 2017)

Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach. - Christian Bergler; Manuel Schmitt; Rachael Xi Cheng; Andreas K. Maier; Volker Barth; Elmar Nöth (INTERSPEECH, 2019)

Deep Representation Learning for Orca Call Type Classification. - Christian Bergler; Manuel Schmitt; Rachael Cheng; Hendrik Schröter; Andreas K. Maier; Volker Barth; Michael Weber; Elmar Nöth (TSD, 2019)

Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization. - Bernd Bassimir; Manuel Schmitt; Rolf Wanka (CoRR, 2019)

Theory of particle swarm optimization: A survey of the power of the swarm's potential. - Bernd Bassimir; Alexander Raß; Manuel Schmitt (it Inf. Technol., 2019)

ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. - Christian Bergler; Manuel Schmitt; Andreas Maier 001; Simeon Smeele; Volker Barth; Elmar Nöth (INTERSPEECH, 2020)

Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves. - Bernd Bassimir; Manuel Schmitt; Rolf Wanka (Swarm Intell., 2020)

ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. - Christian Bergler; Manuel Schmitt; Andreas K. Maier; Helena Symonds; Paul Spong; Steven R. Ness; George Tzanetakis; Elmar Nöth (Interspeech, 2021)

ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. - Christian Bergler; Manuel Schmitt; Andreas K. Maier; Rachael Xi Cheng; Volker Barth; Elmar Nöth (ICASSP, 2022)

ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. - Christian Bergler; Alexander Barnhill; Dominik Perrin; Manuel Schmitt; Andreas K. Maier; Elmar Nöth (INTERSPEECH, 2022)

Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax. - Moritz Mühlenthaler; Alexander Raß; Manuel Schmitt; Rolf Wanka (Nat. Comput., 2022)

Terminal end-on coordination of dinitrogen versus isoelectronic CO: A comparison using the charge displacement analysis. - Manuel Schmitt; Ingo Krossing (J. Comput. Chem., 2023)