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Program for SSC17

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Monday Tuesday Wednesday Thursday

0700 John Holm & Pia Jørgensen Morning run/ walk
Machine learning Chairman: John Holm
0845 Line Clemmensen On deep learning for spectral data
0920 Elise Lunde Gjelsvik Towards a machine learning based procedure for interpretation of mass spectra for better understanding of hydrate phenomena in oil systems
0945 Runar Helin On the possible benefits of deep learning for spectral pre-processing
Applications Chairman: John Holm
1040 Ekaterina Boichenko Validation of classification models in cancer studies using simulated spectral data
1105 Anette Yde Holst Towards successful silver anniversary with Advanced Process Control
1130 LUNCH
1230 Walk'n'Talk and Online Networking
Multiway and multiblock Chairwoman: Pia Jørgensen
1330 Hadrien Lorenzo Multiblock supervised analyses should we really normalize blocks?
1355 Jean-Michel Roger N-CovSel, a new strategy for feature selection in N-way data
1420 Helene Fog Froriep Halberg Bitterness in beer investigated by fluorescence spectroscopy and chemometrics
Applications Chairwoman: Pia Jørgensen
1515 Mikko Mäkelä Classification of cellulose textile fibres
1540 Gerjen H. Tinnevelt Water quality control based on the analysis of high-resolution phytoplankton data
1605 Sonia Nieto-Ortega Time domain reflectometry (TDR) and classification algorithms to detect injection of different water solutions in fresh tuna
1630 End of scientific presentations
1700 Poster session & Dinner
: Online presentation