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Browsing by Subject Machine learning
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Showing results 100 to 119 of 135
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Issue Date
Title
Involved Person(s)
21-Jul-2021
New approach for temperature-immune oxygen sensing based on Pt-TFPP
Venturini, Francesca
;
Michelucci, Umberto
;
Baumgartner, Michael
Feb-2021
New autonomous intelligent sensor design approach for multiple parameter inference
Michelucci, Umberto
;
Venturini, Francesca
Aug-2023
New metric formulas that include measurement errors in machine learning for natural sciences
Michelucci, Umberto
;
Venturini, Francesca
7-Apr-2022
One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra
Venturini, Francesca
;
Michelucci, Umberto
;
Sperti, Michela
;
Gucciardi, Arnaud
;
Deriu, Marco A.
May-2022
One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra
Venturini, Francesca
;
Michelucci, Umberto
;
Sperti, Michela
;
Gucciardi, Arnaud
;
Deriu, Marco A.
2019
Optical oxygen sensing with artificial intelligence
Michelucci, Umberto
;
Baumgartner, Michael
;
Venturini, Francesca
11-Nov-2021
Optimal ITAE criterion PID parameters for PTn plants found with a machine learning approach
Büchi, Roland
11-Jan-2023
Optimizing cement production by employing physics informed machine learning
Bolt, Peter
;
Künzi, Raffael
;
Ziebart, Volker
;
Füchslin, Rudolf Marcel
;
Motich, Mohammed
, et al
2022
Parameter tables for PID controllers for time delayed systems optimized with a learning method
Büchi, Roland
28-Oct-2022
Physics informed deep learning for tracker fault detection in photovoltaic power plants
Zgraggen, Jannik
;
Guo, Yuyan
;
Notaristefano, Antonio
;
Goren Huber, Lilach
2022
PID parameter tables for time-delayed systems, found with learning algorithms according to minimum IAE, ITAE and ISE criteria
Büchi, Roland
2013
Potential and limitations of commercial sentiment detection tools
Cieliebak, Mark
;
Dürr, Oliver
;
Uzdilli, Fatih
1-Dec-2020
Predicting airplane go-arounds using machine learning and open-source data
Figuet, Benoit
;
Monstein, Raphael
;
Waltert, Manuel
;
Barry, Steven
15-Jun-2022
Predicting new venture gestation outcomes with machine learning methods
Koumbarakis, Paris
;
Volery, Thierry
Jun-2021
Redundant machine learning architectures for functional safety relevant applications – an evaluation
Doran, Hans Dermot
;
Ielpo, Gianluca
;
Ganz, David
;
Zapke, Michael
Mar-2024
ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systems
Zhang, Yi
;
Deriu, Jan Milan
;
Katsogiannis-Meimarakis, George
;
Kosten, Catherine
;
Koutrika, Georgia
, et al
Jan-2024
Shedding light on the ageing of extra virgin olive oil : probing the impact of temperature with fluorescence spectroscopy and machine learning techniques
Venturini, Francesca
;
Fluri, Silvan
;
Mejari, Manas
;
Baumgartner, Michael
;
Piga, Dario
, et al
15-Jun-2023
Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows
Arpogaus, Marcel
;
Voss, Marcus
;
Sick, Beate
;
Nigge-Uricher, Mark
;
Dürr, Oliver
2016
Single-cell phenotype classification using deep convolutional neural networks
Dürr, Oliver
;
Sick, Beate
22-Jan-2024
Spider4SPARQL : a complex benchmark for evaluating knowledge graph question answering systems
Kosten, Catherine
;
Cudré-Mauroux, Philippe
;
Stockinger, Kurt