Manuel Schmitt

Orcid: 0000-0003-1670-4099

According to our database1, Manuel Schmitt authored at least 20 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Terminal end-on coordination of dinitrogen versus isoelectronic CO: A comparison using the charge displacement analysis.
J. Comput. Chem., January, 2023

2022
Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax.
Nat. Comput., 2022

ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning.
Proceedings of the Interspeech 2022, 2022

ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves.
Swarm Intell., 2020

ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication.
Proceedings of the Interspeech 2020, 2020

2019
Theory of particle swarm optimization: A survey of the power of the swarm's potential.
it Inf. Technol., 2019

Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization.
CoRR, 2019

Deep Representation Learning for Orca Call Type Classification.
Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019

Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach.
Proceedings of the Interspeech 2019, 2019

2017
Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

2015
Particle swarm optimization almost surely finds local optima.
Theor. Comput. Sci., 2015

Konvergenzanalyse für die Partikelschwarmoptimierung.
Proceedings of the Ausgezeichnete Informatikdissertationen 2015, 2015

Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?
Proceedings of the Swarm Intelligence Based Optimization - First International Conference, 2014

Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

2013
Exploiting independent subformulas: A faster approximation scheme for #k-SAT.
Inf. Process. Lett., 2013

Particles prefer walking along the axes: experimental insights into the behavior of a particle swarm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013


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