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Browsing by Subject Machine learning
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Showing results 117 to 131 of 131
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Issue Date
Title
Involved Person(s)
31-May-2021
The applicability of self-play algorithms to trading and forecasting financial markets
Posth, Jan-Alexander
;
Kotlarz, Piotr Kamil
;
Hadji Misheva, Branka
;
Osterrieder, Jörg
;
Schwendner, Peter
Nov-2020
The applicability of self-play algorithms to trading and forecasting financial markets : a feasibility study
Posth, Jan-Alexander
;
Hadji Misheva, Branka
;
Kotlarz, Piotr Kamil
;
Osterrieder, Jörg
;
Schwendner, Peter
29-Jan-2024
The future is here : digital technologies in social work practice
Alfandari, Ravit
;
Whittaker, Andrew
;
Helm, Duncan
;
Killick, Campbell
;
Gautschi, Joel
, et al
Jul-2023
Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning
Schmid, Nicolas
;
Fischetti, Giulia
;
Henrici, Andreas
;
Wilhelm, Dirk
;
Wanner, Marc
, et al
4-Jul-2022
Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data
Zgraggen, Jannik
;
Pizza, Gianmarco
;
Goren Huber, Lilach
Jul-2023
Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra
Fischetti, Giulia
;
Schmid, Nicolas
;
Henrici, Andreas
;
Wilhelm, Dirk
;
Bruderer, Simon
, et al
2020
Understanding machine learning for diversified portfolio construction by explainable AI
Jaeger, Markus
;
Krügel, Stephan
;
Marinelli, Dimitri
;
Papenbrock, Jochen
;
Schwendner, Peter
1-Feb-2023
Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra
Venturini, Francesca
;
Michelucci, Umberto
;
Sperti, Michela
;
Gucciardi, Arnaud
;
Deriu, Marco A.
Mar-2023
Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra
Venturini, Francesca
;
Michelucci, Umberto
;
Sperti, Michela
;
Gucciardi, Arnaud
;
Deriu, Marco A.
2019
Unsupervised learning and simulation for complexity management in business operations
Hollenstein, Lukas
;
Lichtensteiger, Lukas
;
Stadelmann, Thilo
;
Amirian, Mohammadreza
;
Budde, Lukas
, et al
2022
Using financial news sentiment for stock price direction prediction
Fazlija, Bledar
;
Harder, Pedro
2022
Using metacognitive information and objective features to predict word pair learning success
Fazlija, Bledar
;
Ibrahim, Mohamed
2023
VersaMatch : ontology matching with weak supervision
Fürst, Jonathan
;
Fadel Argerich, Mauricio
;
Cheng, Bin
Nov-2019
Wie maschinelles Lernen den Markt verändert
Stadelmann, Thilo
2021
“Won’t we fix this issue?” : qualitative characterization and automated identification of wontfix issues on GitHub
Panichella, Sebastiano
;
Canfora, Gerardo
;
Di Sorbo, Andrea