Browsing by Subject Deep learning

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  

Showing results 41 to 60 of 81 < previous   next >
Issue DateTitleInvolved Person(s)
Jul-2020Early fault detection based on wind turbine SCADA data using convolutional neural networksUlmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach
15-Aug-2023Editorial: Artificial Intelligence in Finance and Industry: volume II—highlights from the 7th European conferenceHenrici, Andreas; Füchslin, Rudolf M.; Schwendner, Peter
2023Evaluation of deep learning training strategies for the classification of bone marrow cell imagesGlüge, Stefan; Balabanov, Stefan; Koelzer, Viktor Hendrik; Ott, Thomas
2021Fast-training feedforward neural network for multi-scale power quality monitoring in power systems with distributed generation sourcesCortes-Robles, Oswaldo; Barocio, Emilio; Obusevs, Artjoms; Korba, Petr; Segundo Sevilla, Felix Rafael
2022FormulaNet : a benchmark dataset for mathematical formula detectionSchmitt-Koopmann, Felix M.; Huang, Elaine M.; Hutter, Hans-Peter; Stadelmann, Thilo; Darvishy, Alireza
2017Fully convolutional neural networks for newspaper article segmentationMeier, Benjamin; Stadelmann, Thilo; Stampfli, Jan; Arnold, Marek; Cieliebak, Mark
Sep-2023Fully unsupervised fault detection in solar power plants using physics-informed deep learningZgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach
2-Sep-2020How (not) to measure bias in face recognition networksGlüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; Stadelmann, Thilo
8-Dec-2023Hybride Instandhaltung : wie fliesst das Fachwissen in die KI?Goren Huber, Lilach; Palmé, Jan Thomas; Arias Chao, Manuel
2021Impact of mislabelling on deep learning methods and strategies for improvementDettling, Marcel; Frey, Martin; Walser, Manuel; Haas, Patrick
6-Jul-2021Implementing AI-based innovation in industryGoren Huber, Lilach; Acquaviva, Michele; Pizza, Gianmarco
Mar-2021Implementing smart maintenance in industry : deep learning for wind turbine fault detectionGoren Huber, Lilach
2017Learning embeddings for speaker clustering based on voice equalityLukic, Yanick X.; Vogt, Carlo; Dürr, Oliver; Stadelmann, Thilo
2017Machine learning : implications for translator educationMassey, Gary; Ehrensberger-Dow, Maureen
14-Jun-2019Machine learning for position detection in footballFrey, Martin; Murina, Elvis; Rohrbach, Janick; Walser, Manuel; Haas, Patrick, et al
2023Mathematical expression recognition using a new deep neural modelMirkazemy, Abolfazl; Adibi, Peyman; Ehsani, Seyed Mohhamad Saied; Darvishy, Alireza; Hutter, Hans-Peter
30-Mar-2023Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networksAmirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas, et al
2020Named entity disambiguation at scaleAghaebrahimian, Ahmad; Cieliebak, Mark
13-Aug-2020Neural networks and arbitrage in the VIXOsterrieder, Jörg; Kucharczyk, Daniel; Rudolf, Silas; Wittwer, Daniel
2015PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih