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Christoph Lohrmann
Christoph Lohrmann
Assistant Professor, Reykjavik University
Verified email at wtnet.de
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Cited by
Year
Machine learning techniques and data for stock market forecasting: A literature review
MM Kumbure, C Lohrmann, P Luukka, J Porras
Expert Systems with Applications 197, 116659, 2022
2202022
Global scenarios for significant water use reduction in thermal power plants based on cooling water demand estimation using satellite imagery
A Lohrmann, J Farfan, U Caldera, C Lohrmann, C Breyer
Nature Energy 4 (12), 1040-1048, 2019
992019
Classification of intraday S&P500 returns with a Random Forest
C Lohrmann, P Luukka
International Journal of Forecasting 35 (1), 390-407, 2019
812019
A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection
C Lohrmann, P Luukka, M Jablonska-Sabuka, T Kauranne
Expert Systems with Applications 110, 216-236, 2018
422018
A novel similarity classifier with multiple ideal vectors based on k-means clustering
C Lohrmann, P Luukka
Decision Support Systems 111, 27-37, 2018
232018
Global and regional models for identification of cooling technology in thermal power generation for water demand estimations in water-energy nexus studies
A Lohrmann, C Lohrmann, P Luukka
Journal of Cleaner Production 380, 134842, 2022
52022
Nonspecificity, strife and total uncertainty in supervised feature selection
C Lohrmann, P Luukka
Engineering Applications of Artificial Intelligence 109, 104628, 2022
52022
Using clustering for supervised feature selection to detect relevant features
C Lohrmann, P Luukka
Machine Learning, Optimization, and Data Science: 5th International …, 2019
52019
Supervised feature selection with a combination of fuzzy similarity measures and fuzzy entropy measures
C Lohrmann, M Jablonska-Sabuka, T Kauranne, P Luukka
Real Option Workshop, 19, 2018
52018
Troubled waters: Estimating the role of the power sector in future water scarcity crises
A Lohrmann, J Farfan, C Lohrmann, JF Kölbel, F Pettersson
Energy 282, 128820, 2023
32023
A region-based approach for missing value imputation of cooling technologies for the global thermal power plant fleet using a decision tree classifier
A Lohrmann, C Lohrmann, P Luukka
Intelligent Systems and Applications in Business and Finance, 93-125, 2022
22022
Image based classification of shipments using transfer learning.
M Leppioja, P Luukka, C Lohrmann
KNOWCON, 37-44, 2021
22021
Fuzzy similarity and entropy (FSAE) feature selection revisited by using intra-class entropy and a normalized scaling factor
C Lohrmann, P Luukka
Intelligent Systems and Applications in Business and Finance, 61-92, 2022
12022
Accuracy and Predictive Power of Sell-Side Target Prices for Global Clean Energy Companies
C Lohrmann, A Lohrmann
Sustainability 13 (22), 12746, 2021
12021
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach
M Mailagaha Kumbure, C Lohrmann, P Luukka
International Conference on Machine Learning, Optimization, and Data Science …, 2021
12021
Information transmission and nonspecificity in feature selection
P Luukka, C Lohrmann
Fuzzy Techniques: Theory and Applications: Proceedings of the 2019 Joint …, 2019
12019
Check for updates A Comparison of Feature Construction Methods in the Context of Supervised Feature Selection for Classification
DD Nguyen, C Lohrmann, P Luukka
Computational Intelligence Methods for Green Technology and Sustainable …, 2022
2022
A Comparison of Feature Construction Methods in the Context of Supervised Feature Selection for Classification
DD Nguyen, C Lohrmann, P Luukka
International Conference on Green Technology and Sustainable Development, 48-59, 2022
2022
A Neural Network Based Multi-class Trading Strategy for the S&P 500 Index
L Soukko, C Lohrmann, P Luukka
Intelligent Systems and Applications in Business and Finance, 127-161, 2022
2022
Heuristic similarity-and distance-based supervised feature selection methods
C Lohrmann
Lappeenranta-Lahti University of Technology LUT, 2019
2019
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