| On-line elimination of local redundancies in evolving fuzzy systems E Lughofer, JL Bouchot, A Shaker Evolving Systems 2, 165-187, 2011 | 131 | 2011 |
| Hard thresholding pursuit algorithms: number of iterations JL Bouchot, S Foucart, P Hitczenko | 68 | 2013 |
| Generalized analytic signals in image processing: Comparison, theory and applications S Bernstein, JL Bouchot, M Reinhardt, B Heise Quaternion and Clifford Fourier Transforms and Wavelets, 221-246, 2013 | 49 | 2013 |
| Compressed sensing Petrov-Galerkin approximations for parametric PDEs JL Bouchot, B Bykowski, H Rauhut, C Schwab 2015 International Conference on Sampling Theory and Applications (SampTA …, 2015 | 26 | 2015 |
| Multi-level Compressed Sensing Petrov-Galerkin discretization of high-dimensional parametric PDEs JL Bouchot, H Rauhut, C Schwab arXiv preprint arXiv:1701.01671, 2017 | 23 | 2017 |
| Advances in Machine Learning for Processing and Comparison of Metagenomic Data JL Bouchot, W Trimble, G Ditzler, Y Lan, S Essinger, G Rosen | 16 | 2013 |
| Discrepancy norm as fitness function for defect detection on regularly textured surfaces G Stübl, JL Bouchot, P Haslinger, B Moser Joint DAGM (German Association for Pattern Recognition) and OAGM symposium …, 2012 | 16 | 2012 |
| A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces JL Bouchot, G Stübl, B Moser Tenth International Conference on Quality Control by Artificial Vision 8000 …, 2011 | 16* | 2011 |
| A generalized class of hard thresholding algorithms for sparse signal recovery JL Bouchot Approximation Theory XIV: San Antonio 2013, 45-63, 2014 | 13 | 2014 |
| Evaluation of structural change and local strain distribution in polymers comparatively imaged by FFSA and OCT techniques E Leiss-Holzinger, UD Cakmak, B Heise, JL Bouchot, EP Klement, ... eXPRESS Polymer Letters 6 (3), 249-256, 2012 | 12 | 2012 |
| Local sparsity and recovery of fusion frames structured signals R Aceska, JL Bouchot, S Li http://www.mathc.rwth-aachen.de/~bouchot/files/pubs/ABL_LocalSparsity.pdf, 2016 | 11* | 2016 |
| On a non-monotonicity effect of similarity measures B Moser, G Stübl, JL Bouchot Similarity-Based Pattern Recognition: First International Workshop, SIMBAD …, 2011 | 8 | 2011 |
| Spectral domain polarization sensitive optical coherence tomography at 1.55 µm: Novel developments and applications for dynamic studies in materials science D Stifter, E Leiss-Holzinger, B Heise, JL Bouchot, Z Major, M Pircher, ... Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2011 | 7 | 2011 |
| Fusion Frames and Distributed Sparsity R Aceska, JL Bouchot, S Li Contemporary Mathematics, 2017 | 6 | 2017 |
| On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis JL Bouchot, J Himmelbauer, B Moser Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-7, 2010 | 4 | 2010 |
| Stability and robustness of RBF interpolation JL Bouchot, K Hamm Sampling Theory in Signal and Image Processing 16, 37-53, 2017 | 2 | 2017 |
| Profiling checkpointing schedules in adjoint ST-AD L Hascoët, JL Bouchot, SS Gaikwad, SHK Narayanan, J Hückelheim arXiv preprint arXiv:2405.15590, 2024 | 1 | 2024 |
| Variable Selection to Improve Classification of Metagenomes G Ditzler, Y Lan, JL Bouchot, G Rosen Genes, Genomes and Metagenomes: Basics, Methods, Databases and Tools, Karen …, 2015 | 1 | 2015 |
| Scaled-distance-transforms and monotonicity of autocorrelations J Bouchot, F Morain-Nicolier IEEE, 2014 | 1 | 2014 |
| PEPS5 study on the interest of energy storage and of power-to-X-Final report+ Appendix to the PEPS5 study: report on the second life of batteries+ Technological sheets … M Chammas, I Arduin, L Cornaggia, P Briere, L Lacombe, J Lecarpentier, ... | | 2023 |
Bettina HeiseReserach Center Non Destructive Testing Linz; RECENDTVerified email at recendt.at
