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Browsing by Subject Machine learning
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Showing results 30 to 49 of 133
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Issue Date
Title
Involved Person(s)
2016
Data Scientist als Beruf
Stockinger, Kurt
;
Stadelmann, Thilo
;
Ruckstuhl, Andreas
2019
Data warehousing and exploratory analysis for market monitoring
Geiger, Melanie
;
Stockinger, Kurt
Feb-2023
Deconvolution of 1D NMR spectra : a deep learning-based approach
Schmid, N.
;
Bruderer, S.
;
Paruzzo, F.
;
Fischetti, G.
;
Toscano, G.
, et al
13-Jul-2022
Deconvolution of NMR spectra : a deep learning-based approach
Schmid, Nicolas
;
Bruderer, Simon
;
Fischetti, Giulia
;
Paruzzo, Federico
;
Toscano, Giuseppe
, et al
2023
Deep ensemble inverse model for image-based estimation of solar cell parameters
Battaglia, Mattia
;
Comi, Ennio
;
Stadelmann, Thilo
;
Hiestand, Roman
;
Ruhstaller, Beat
, et al
22-Jun-2023
Deep learning for predictive maintenance : scalable implementation in operational setups
Goren Huber, Lilach
2023
Deep learning for robust and explainable models in computer vision
Schwenker, Friedhelm
;
Stadelmann, Thilo
;
Jaggi, Martin
;
Amirian, Mohammadreza
2020
Deep learning for understanding satellite imagery : an experimental survey
Mohanty, Sharada Prasanna
;
Czakon, Jakub
;
Kaczmarek, Kamil A.
;
Pyskir, Andrzej
;
Tarasiewicz, Piotr
, et al
Mar-2023
Deep learning super resolution for high-speed excitation emission matrix measurements
Michelucci, Umberto
;
Fluri, Silvan
;
Baumgartner, Michael
;
Venturini, Francesca
2022
Deep partial hedging
Hou, Songyan
;
Krabichler, Thomas
;
Wunsch, Marcus
2020
Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor
Venturini, Francesca
;
Michelucci, Umberto
;
Baumgartner, Michael
Mar-2021
Dependable neural networks through redundancy, a comparison of redundant architectures
Doran, Hans Dermot
;
Ganz, David
;
Ielpo, Gianluca
;
Zapke, Michael
Mar-2024
Detecting anomalies in time series using kernel density approaches
Frehner, Robin
;
Wu, Kesheng
;
Sim, Alexander
;
Kim, Jinoh
;
Stockinger, Kurt
2016
Detecting obfuscated JavaScripts using machine learning
Aebersold, Simon
;
Kryszczuk, Krzysztof
;
Paganoni, Sergio
;
Tellenbach, Bernhard
;
Trowbridge, Timothy
2019
Detecting prolonged sitting bouts with the ActiGraph GT3X
Kuster, Roman
;
Grooten, Wilhelmus J. A.
;
Baumgartner, Daniel
;
Blom, Victoria
;
Hagströmer, Maria
, et al
2019
Digitales Toolkit BWL-Studierende : Emerging Technologies virtualisiert
Seiler, Roger
;
Koruna, Stefan
9-Aug-2020
Don’t click : towards an effective anti-phishing training. A comparative literature review
Jampen, Daniel
;
Gür, Gürkan
;
Sutter, Thomas
;
Tellenbach, Bernhard
2020
Dual oxygen and temperature luminescence learning sensor with parallel inference
Venturini, Francesca
;
Michelucci, Umberto
;
Baumgartner, Michael
1-Apr-2020
Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks
Venturini, Francesca
;
Michelucci, Umberto
;
Baumgartner, Michael
Jul-2020
Early fault detection based on wind turbine SCADA data using convolutional neural networks
Ulmer, Markus
;
Jarlskog, Eskil
;
Pizza, Gianmarco
;
Manninen, Jaakko
;
Goren Huber, Lilach