Theo dõi
Christoph Lohrmann
Christoph Lohrmann
Assistant Professor, Reykjavik University
Email được xác minh tại wtnet.de
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
2252022
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
1002019
Classification of intraday S&P500 returns with a Random Forest
C Lohrmann, P Luukka
International Journal of Forecasting 35 (1), 390-407, 2019
822019
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
432018
A novel similarity classifier with multiple ideal vectors based on k-means clustering
C Lohrmann, P Luukka
Decision Support Systems 111, 27-37, 2018
242018
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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