References in zbMATH (referenced in 9 articles , 1 standard article )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. Bubba, Tatiana A.; Galinier, Mathilde; Lassas, Matti; Prato, Marco; Ratti, Luca; Siltanen, Samuli: Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography (2021)
  2. Herpe, Guillaume; Dambrine, Julien; Bennis, Inès; Thomas, Clément; Velasco, Stéphane; Guillevin, Rémy: Separation of perfusion phases in angiographies (2021)
  3. Julien Siebert, Janek Groß, Christof Schroth: A systematic review of Python packages for time series analysis (2021) arXiv
  4. Kileel, Joe; Moscovich, Amit; Zelesko, Nathan; Singer, Amit: Manifold learning with arbitrary norms (2021)
  5. Miller, Philip; Hohage, Thorsten: Maximal spaces for approximation rates in (\ell^1)-regularization (2021)
  6. Shifat-E-Rabbi, Mohammad; Yin, Xuwang; Rubaiyat, Abu Hasnat Mohammad; Li, Shiying; Kolouri, Soheil; Aldroubi, Akram; Nichols, Jonathan M.; Rohde, Gustavo K.: Radon cumulative distribution transform subspace modeling for image classification (2021)
  7. Lukas Adamowicz; Shyamal Patel: Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back (2020) not zbMATH
  8. Freund, Andreas; Ferrante, Antonino: Wavelet-spectral analysis of droplet-laden isotropic turbulence (2019)
  9. Lee, G. R.; Gommers, R.; Waselewski, F.; Wohlfahrt, K.; O’Leary, A.: PyWavelets: A Python package for wavelet analysis (2019) not zbMATH