Issue Date | Title | Involved Person(s) |
2019 | New approach for luminescence sensing based on machine learning | Venturini, Francesca; Baumgartner, Michael; Michelucci, Umberto |
2019 | Multi-task learning for multi-dimensional regression : application to luminescence sensing | Michelucci, Umberto; Venturini, Francesca |
2019 | Optical oxygen sensing with artificial intelligence | Michelucci, Umberto; Baumgartner, Michael; Venturini, Francesca |
2018 | Mn4+-doped magnesium titanate : a promising phosphor for self-referenced optical temperature sensing | Venturini, Francesca; Baumgartner, Michael; Borisov, Sergey |
2017 | Characterization of light-gas interaction in strongly-scattering nanoporous materials and its implications for tunable diode laser absorption spectroscopy | Venturini, Francesca; Schönherr, Veit; Rey, Julien; Adolfsson, Erik |
2017 | Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensing | Michelucci, Umberto; Venturini, Francesca |
2017 | Novel algorithm for calibration-free absorption spectroscopy sensor | Venturini, Francesca; Michelucci, Umberto |
2011 | Pair breaking versus symmetry breaking : origin of the Raman modes in superconducting cuprates | Munnikes, N.; Muschler, B.; Venturini, Francesca; Tassini, L.; Prestel, W., et al |
2010 | Quantitative comparison of single- and two-particle properties in the cuprates | Prestel, W.; Venturini, Francesca; Muschler, B.; Tütto, I.; Hackl, R., et al |