Christoph Lohrmann

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
On the benefit of feature selection and ensemble feature selection for fuzzy k-nearest neighbor classification.
Appl. Soft Comput.
Christoph Lohrmann, Alena Lohrmann, Mahinda Mailagaha Kumbure
2024 J jnl
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning.
CoRR
Samuel Tovey, Christoph Lohrmann, Christian Holm
2024 J jnl
Emergence of chemotactic strategies with multi-agent reinforcement learning.
Mach. Learn. Sci. Technol.
Samuel Tovey, Christoph Lohrmann, Christian Holm
2024 J jnl
SwarmRL: Building the Future of Smart Active Systems.
CoRR
Samuel Tovey, Christoph Lohrmann, Tobias Merkt, David Zimmer, Konstantin Nikolaou, Simon Koppenhoefer, Anna Bushmakina, Jonas Scheunemann, Christian Holm
2023 J jnl
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning.
CoRR
Samuel Tovey, David Zimmer, Christoph Lohrmann, Tobias Merkt, Simon Koppenhoefer, Veit-Lorenz Heuthe, Clemens Bechinger, Christian Holm
2023 J jnl
MDSuite: comprehensive post-processing tool for particle simulations.
J. Cheminformatics
Samuel Tovey, Fabian Zills, Francisco Torres-Herrador, Christoph Lohrmann, Marco Brückner, Christian Holm
2022 J jnl
Machine learning techniques and data for stock market forecasting: A literature review.
Expert Syst. Appl.
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, Jari Porras
2022 J jnl
Nonspecificity, strife and total uncertainty in supervised feature selection.
Eng. Appl. Artif. Intell.
Christoph Lohrmann, Pasi Luukka
2021 — conf
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach.
LOD
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka
2021 — conf
Image based classification of shipments using transfer learning.
KNOWCON
Markus Leppioja, Pasi Luukka, Christoph Lohrmann
2019 — conf
Information Transmission and Nonspecificity in Feature Selection.
IFSA/NAFIPS
Pasi Luukka, Christoph Lohrmann
2019 — conf
Using Clustering for Supervised Feature Selection to Detect Relevant Features.
LOD
Christoph Lohrmann, Pasi Luukka
2018 J jnl
A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection.
Expert Syst. Appl.
Christoph Lohrmann, Pasi Luukka, Matylda Jablonska-Sabuka, Tuomo Kauranne
2018 J jnl
A novel similarity classifier with multiple ideal vectors based on k-means clustering.
Decis. Support Syst.
Christoph Lohrmann, Pasi Luukka