| Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. | 0 | 0.34 | 2022 |
| Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods | 0 | 0.34 | 2022 |
| Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods | 0 | 0.34 | 2022 |
| BIODICA: a computational environment for Independent Component Analysis of omics data | 0 | 0.34 | 2022 |
| LNetReduce - Tool for Reducing Linear Dynamic Networks with Separated Timescales. | 0 | 0.34 | 2021 |
| Cd2sbgnml: Bidirectional Conversion Between Celldesigner And Sbgn Formats (Vol 36, Pg 2620, 2019) | 0 | 0.34 | 2020 |
| Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. | 0 | 0.34 | 2020 |
| Robust principal graphs for data approximation. | 0 | 0.34 | 2016 |
| Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization. | 0 | 0.34 | 2016 |
| Fast and user-friendly non-linear principal manifold learning by method of elastic maps | 1 | 0.63 | 2015 |
| Mathematical Modelling Of Molecular Pathways Enabling Tumour Cell Invasion And Migration | 7 | 0.61 | 2015 |
| Principal Manifolds And Graphs In Practice: From Molecular Biology To Dynamical Systems | 34 | 1.76 | 2010 |
| Nonlinear Quality of Life Index | 2 | 0.38 | 2010 |
| Principal Graphs and Manifolds | 5 | 0.79 | 2008 |
| Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps | 2 | 0.47 | 2007 |
| Topological grammars for data approximation | 9 | 0.68 | 2007 |
| Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequences. | 5 | 0.83 | 2005 |
| Elastic Principal Graphs And Manifolds And Their Practical Applications | 16 | 1.27 | 2005 |
| Seven clusters in genomic triplet distributions | 7 | 0.79 | 2003 |
| Self-Organizing Approach for Automated Gene Identification | 5 | 0.63 | 2003 |
