| Measurement of angular correlations based on secondary vertex reconstruction at V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, T Bergauer, ... Journal of High Energy Physics 2011 (3), 1-35, 2011 | 286 | 2011 |
| Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at CMS Collaboration cms-publication-committee-chair@ cern. ch, ... The European Physical Journal C 73, 1-26, 2013 | 91 | 2013 |
| Particle swarm optimization almost surely finds local optima M Schmitt, R Wanka Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 80 | 2013 |
| Convergence analysis for particle swarm optimization BI Schmitt FAU University Press, 2015 | 31 | 2015 |
| Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation L Schwab, M Schmitt, R Wanka 2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015 | 12 | 2015 |
| Deep representation learning for orca call type classification C Bergler, M Schmitt, RX Cheng, H Schröter, A Maier, V Barth, M Weber, ... Text, Speech, and Dialogue: 22nd International Conference, TSD 2019 …, 2019 | 11 | 2019 |
| Explanation of stagnation at points that are not local optima in particle swarm optimization by potential analysis A Raß, M Schmitt, R Wanka Proceedings of the companion publication of the 2015 annual conference on …, 2015 | 9 | 2015 |
| ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. C Bergler, M Schmitt, A Maier, S Smeele, V Barth, E Nöth INTERSPEECH, 1136-1140, 2020 | 8 | 2020 |
| Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax M Mühlenthaler, A Raß, M Schmitt, R Wanka Natural Computing, 1-27, 2021 | 7 | 2021 |
| Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves B Bassimir, M Schmitt, R Wanka Swarm Intelligence 14 (4), 285-311, 2020 | 7 | 2020 |
| Deep Learning for Orca Call Type Identification-A Fully Unsupervised Approach. C Bergler, M Schmitt, RX Cheng, AK Maier, V Barth, E Nöth INTERSPEECH, 3357-3361, 2019 | 7 | 2019 |
| Particles prefer walking along the axes: Experimental insights into the behavior of a particle swarm M Schmitt, R Wanka Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 7 | 2013 |
| Exploiting independent subformulas: A faster approximation scheme for# k-SAT M Schmitt, R Wanka Information Processing Letters 113 (9), 337-344, 2013 | 7 | 2013 |
| Runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax M Mühlenthaler, A Raß, M Schmitt, A Siegling, R Wanka Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic …, 2017 | 4 | 2017 |
| ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. C Bergler, M Schmitt, AK Maier, H Symonds, P Spong, SR Ness, ... Interspeech, 2396-2400, 2021 | 3 | 2021 |
| Theory of particle swarm optimization: A survey of the power of the swarm’s potential B Bassimir, A Raß, M Schmitt it-Information Technology 61 (4), 169-176, 2019 | 3 | 2019 |
| Konvergenzanalyse für die Partikelschwarmoptimierung BI Schmitt Ausgezeichnete Informatikdissertationen 2015, 2015 | 3 | 2015 |
| How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge? B Bassimir, M Schmitt, R Wanka Swarm Intelligence Based Optimization: First International Conference …, 2014 | 3 | 2014 |
| Towards a better understanding of the local attractor in Particle Swarm Optimization: Speed and solution quality V Lange, M Schmitt, R Wanka Adaptive and Intelligent Systems: Third International Conference, ICAIS 2014 …, 2014 | 3 | 2014 |
| ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning C Bergler, M Schmitt, A Maier, RX Cheng, V Barth, E Nöth ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
