Using derivatives in time series classification T Górecki, M Łuczak Data Mining and Knowledge Discovery 26 (2), 310-331, 2013 | 175 | 2013 |
Multivariate time series classification with parametric derivative dynamic time warping T Górecki, M Łuczak Expert Systems with Applications 42 (5), 2305-2312, 2015 | 160 | 2015 |
Hierarchical clustering of time series data with parametric derivative dynamic time warping M Łuczak Expert Systems with Applications 62, 116-130, 2016 | 105 | 2016 |
Non-isometric transforms in time series classification using DTW T Górecki, M Łuczak Knowledge-based systems 61, 98-108, 2014 | 97 | 2014 |
A hybrid evolutionary algorithm for the two-dimensional packing problem I Kierkosz, M Luczak Central European Journal of Operations Research 22 (4), 729-753, 2014 | 35 | 2014 |
First and second derivatives in time series classification using DTW T Górecki, M Łuczak Communications in Statistics-Simulation and Computation 43 (9), 2081-2092, 2014 | 31 | 2014 |
Linear discriminant analysis with a generalization of the Moore–Penrose pseudoinverse T Górecki, M Łuczak International Journal of Applied Mathematics and Computer Science 23 (2 …, 2013 | 23 | 2013 |
Combining raw and normalized data in multivariate time series classification with dynamic time warping M Łuczak Journal of Intelligent & Fuzzy Systems 34 (1), 373-380, 2018 | 18 | 2018 |
Acoustical Analysis of Enclosure as Initial Approach to Vehicle Induced Noise Analysis Comparatevely Using STFT and Wavelets A BŁAŻEJEWSKI, P KOZIOŁ, M ŁUCZAK Archives of Acoustics 39 (3), 385-394, 2014 | 14 | 2014 |
The influence of the Sakoe–Chiba band size on time series classification T Górecki, M Łuczak Journal of Intelligent & Fuzzy Systems 31 (1), 527-539, 2019 | 9 | 2019 |
A one-pass heuristic for nesting problems I Kierkosz, M Łuczak Operations Research and Decisions 29 (1), 37-60, 2019 | 8 | 2019 |
Univariate and multivariate time series classification with parametric integral dynamic time warping M Łuczak Journal of Intelligent & Fuzzy Systems 33 (4), 2403-2413, 2017 | 8 | 2017 |
Stacked regression with a generalization of the Moore-Penrose pseudoinverse T Górecki, M Łuczak Statistics in Transition 18 (3), 443-458, 2017 | 4 | 2017 |
A variant of gravitational classification T Górecki, M Luczak Biometrical Letters 51 (1), 2014 | 4 | 2014 |
On the Gleason-Kahane-Żelazko theorem M Łuczak Annales Societatis Mathematicae Polonae. Seria 1: Commentationes Mathematicae, 2004 | 3 | 2004 |
An exhaustive comparison of distance measures in the classification of time series with 1nn method T Górecki, M Łuczak, P Piasecki Journal of Computational Science 76, 102235, 2024 | 2 | 2024 |
Evolutionarily tuned generalized pseudo-inverse in linear discriminant analysis T Górecki, M Łuczak Computing and Informatics 35 (3), 615-634, 2016 | 1 | 2016 |
Some methods of replacing the nearest neighbor method T Górecki, M Łuczak Communications in Statistics—Simulation and Computation® 39 (2), 262-276, 2010 | 1 | 2010 |
Similarity Forest for Time Series Classification T Górecki, M Łuczak, P Piasecki Classification and Data Science in the Digital Age, 165-173, 2023 | | 2023 |
Some methods of constructing kernels in statistical learning T Górecki, M Łuczak Discussiones Mathematicae. Probability and Statistics 30 (2), 179-201, 2010 | | 2010 |