Christoph Lohrmann

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Supervised Feature Selection

Top Venues

J. Cheminformatics

Expert Syst. Appl.

Publications

Samuel Tovey, Christoph Lohrmann, Christian Holm
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning. CoRR (2024)
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 (2024)
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 (2023)
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) (2023)
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) (2023)
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 (2022)
Christoph Lohrmann, Pasi Luukka
Nonspecificity, strife and total uncertainty in supervised feature selection. Eng. Appl. Artif. Intell. 109 (2022)
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)
Markus Leppioja, Pasi Luukka, Christoph Lohrmann
Image based classification of shipments using transfer learning. KNOWCON (2021)
Christoph Lohrmann, Pasi Luukka
Using Clustering for Supervised Feature Selection to Detect Relevant Features. LOD (2019)
Pasi Luukka, Christoph Lohrmann
Information Transmission and Nonspecificity in Feature Selection. IFSA/NAFIPS (2019)
Christoph Lohrmann, Pasi Luukka
A novel similarity classifier with multiple ideal vectors based on k-means clustering. Decis. Support Syst. 111 (2018)
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 (2018)