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ORCIDChristoph Lohrmann
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2020 – today
- 2024
[j6]Samuel Tovey
, Christoph Lohrmann, Christian Holm:
Emergence of chemotactic strategies with multi-agent reinforcement learning. Mach. Learn. Sci. Technol. 5(3): 35054 (2024)- [i3]Samuel Tovey, Christoph Lohrmann, Christian Holm:
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning. CoRR abs/2404.01999 (2024) - [i2]Samuel Tovey, Christoph Lohrmann, Tobias Merkt, David Zimmer, Konstantin Nikolaou, Simon Koppenhoefer, Anna Bushmakina, Jonas Scheunemann, Christian Holm:
SwarmRL: Building the Future of Smart Active Systems. CoRR abs/2404.16388 (2024) - 2023
- [j5]Samuel Tovey, Fabian Zills, Francisco Torres-Herrador, Christoph Lohrmann, Marco Brückner, Christian Holm:
MDSuite: comprehensive post-processing tool for particle simulations. J. Cheminformatics 15(1): 19 (2023) - [i1]Samuel Tovey, David Zimmer, Christoph Lohrmann, Tobias Merkt, Simon Koppenhoefer, Veit-Lorenz Heuthe, Clemens Bechinger, Christian Holm:
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning. CoRR abs/2307.00994 (2023) - 2022
- [j4]Christoph Lohrmann, Pasi Luukka:
Nonspecificity, strife and total uncertainty in supervised feature selection. Eng. Appl. Artif. Intell. 109: 104628 (2022) - [j3]Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, Jari Porras:
Machine learning techniques and data for stock market forecasting: A literature review. Expert Syst. Appl. 197: 116659 (2022) - 2021
- [c4]Markus Leppioja, Pasi Luukka, Christoph Lohrmann:
Image based classification of shipments using transfer learning. KNOWCON 2021: 37-44 - [c3]Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka:
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach. LOD 2021: 93-104
2010 – 2019
- 2019
- [c2]Pasi Luukka, Christoph Lohrmann:
Information Transmission and Nonspecificity in Feature Selection. IFSA/NAFIPS 2019: 340-350 - [c1]Christoph Lohrmann, Pasi Luukka:
Using Clustering for Supervised Feature Selection to Detect Relevant Features. LOD 2019: 272-283 - 2018
- [j2]Christoph Lohrmann, Pasi Luukka:
A novel similarity classifier with multiple ideal vectors based on k-means clustering. Decis. Support Syst. 111: 27-37 (2018) - [j1]Christoph Lohrmann, Pasi Luukka, Matylda Jablonska-Sabuka, Tuomo Kauranne:
A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection. Expert Syst. Appl. 110: 216-236 (2018)
Coauthor Index
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