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Showing results 140 to 159 of 292
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Issue Date
Title
Involved Person(s)
2019
Identification of clinically relevant characteristics of intracranial aneurysm morphology
Juchler, Norman
;
Schilling, Sabine
;
Bijlenga, Philippe
;
Rüfenacht, Daniel
;
Kurtcuoglu, Vartan
, et al
13-Jul-2021
Impact of mislabelling on deep learning
Dettling, Marcel
;
Walser, Manuel
;
Frey, Martin
2021
Impact of mislabelling on deep learning methods and strategies for improvement
Dettling, Marcel
;
Frey, Martin
;
Walser, Manuel
;
Haas, Patrick
6-Jul-2021
Implementing AI-based innovation in industry
Goren Huber, Lilach
;
Acquaviva, Michele
;
Pizza, Gianmarco
2021
Implementing database and machine learning algorithms on publicly available quantum computers
Fankhauser, Tobias
;
Soler, Marc
;
Füchslin, Rudolf M.
;
Stockinger, Kurt
Mar-2021
Implementing smart maintenance in industry : deep learning for wind turbine fault detection
Goren Huber, Lilach
26-Jun-2020
Improving sample efficiency and multi-agent communication in RL-based train rescheduling
Roost, Dano
;
Meier, Ralph
;
Huschauer, Stephan
;
Nygren, Erik
;
Egli, Adrian
, et al
May-2022
Improving service value creation for manufacturing SMEs by overcoming data sharing hurdles in ecosystems
Meierhofer, Jürg
;
Kugler, Petra
;
Vogt, Helen
;
Dobler, Martin
;
Benedech, Rodolfo Andres
, et al
21-Jan-2020
Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms
Watanabe, Kazuhiro
;
Anzai, Hitomi
;
Juchler, Norman
;
Hirsch, Sven
;
Ohta, Makoto
Dec-2021
INODE : building an end-to-end data exploration system in practice
Amer-Yahia, Sihem
;
Koutrika, Georgia
;
Braschler, Martin
;
Calvanese, Diego
;
Lanti, Davide
, et al
Jul-2023
Integrating innovation : the role of standards in promoting responsible development of human–machine systems
McKinney, Zach
;
de Neeling, Martijn
;
Bianchi, Luigi
;
Chavarriaga, Ricardo
12-Feb-2020
Intelligente Instandhaltung : Chancen und Herausförderungen für die Umsetzung in der Praxis
Goren Huber, Lilach
15-Dec-2021
International data governance for neuroscience
Eke, Damian O
;
Bernard, Amy
;
Bjaalie, Jan G
;
Chavarriaga, Ricardo
;
Hanakawa, Takashi
, et al
14-Jun-2019
Introduction to applied data science
Stadelmann, Thilo
;
Braschler, Martin
;
Stockinger, Kurt
2021
Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states
Iwane, Fumiaki
;
Iturrate, Iñaki
;
Chavarriaga, Ricardo
;
Millán, José del R.
2022
Is it enough to optimize CNN architectures on ImageNet?
Tuggener, Lukas
;
Schmidhuber, Jürgen
;
Stadelmann, Thilo
20-Jan-2023
KI als Chance für die angewandten Wissenschaften im Wettbewerb der Hochschulen
Stadelmann, Thilo
2020
Komplexe Dynamik mit Data Science und Simulation beherrschen
Hollenstein, Lukas
;
Rinkel, Andreas
2018
Komplexität in Industrie 4.0 beherrschen mit Simulation
Hollenstein, Lukas
2017
Kooperationsplattform für die urbane Güterlogistik : Schlussbericht
Schmelzer, Helene
;
Hollenstein, Lukas
;
Bütikofer, Stephan
;
Steiner, Albert
;
Wüst, Raimond Matthias
, et al