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1دورية أكاديمية
المؤلفون: Sebastian Säger, Benjamin Elizalde, Damian Borth, Christian Schulze, Bhiksha Raj, Ian Lane
المصدر: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2018, Iss 1, Pp 1-12 (2018)
مصطلحات موضوعية: Sound event database, Audio content analysis, Machine learning, Signal processing, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
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2
المؤلفون: Shijun Wang, Jón Guðnason, Damian Borth
مصطلحات موضوعية: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), Audio and Speech Processing (eess.AS), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46db99a3e6ee5687176547c341fe9c42
http://arxiv.org/abs/2303.01508 -
3
المؤلفون: Linus Scheibenreif, Michael Mommert, Damian Borth
المصدر: IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
مصطلحات موضوعية: General Earth and Planetary Sciences, Electrical and Electronic Engineering
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4
المؤلفون: Shijun Wang, Damian Borth
المصدر: 2022 International Joint Conference on Neural Networks (IJCNN).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1771b3afd84daaa0a3ca2501c603af5a
https://doi.org/10.1109/ijcnn55064.2022.9892405 -
5
المؤلفون: Joelle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth
المصدر: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d11ed2b2bf662b340acec443595283f0
https://doi.org/10.1109/igarss46834.2022.9883986 -
6
المؤلفون: Benjamin van Giffen, Walter Brenner, Damian Borth
المصدر: HMD Praxis der Wirtschaftsinformatik. 57:4-20
مصطلحات موضوعية: business studies, 020204 information systems, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, computer science, information management, 02 engineering and technology, social sciences, Humanities, 050203 business & management
وصف الملف: text
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7
المؤلفون: Marco Schreyer, Timur Sattarov, Damian Borth
مصطلحات موضوعية: Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, representation learning, self-supervised learning, multi-task learning, audit, computer assisted audit techniques, accounting information systems, enterprise resource planning systems, Computer Science - Machine Learning, finance, computer science, Computer Science - Computational Engineering, Finance, and Science, Machine Learning (cs.LG)
وصف الملف: text
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f55b2e38ac5b19e3458995403e3330
http://arxiv.org/abs/2109.11201 -
8
المؤلفون: Matthias Enders, Marius Kloft, Damian Borth, Saurabh Varshneya, Antoine Ledent, Yunwen Lei, Robert A. Vandermeulen
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Group (mathematics), business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, Regularization (mathematics), Weighting, Image (mathematics), Machine Learning (cs.LG), Group learning, Artificial intelligence, Layer (object-oriented design), business, Interpretability
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04a426fe9b8dbfda79ceae8920b6091c
http://arxiv.org/abs/2109.10078 -
9
المؤلفون: Michael Mommert, Joelle Hanna, Linus Scheibenreif, Damian Borth
المصدر: IGARSS
مصطلحات موضوعية: FOS: Computer and information sciences, Power station, Computer science, business.industry, Deep learning, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, computer science, Electrical Engineering and Systems Science - Image and Video Processing, computer.software_genre, Class (biology), Electricity generation, Remote sensing (archaeology), FOS: Electrical engineering, electronic engineering, information engineering, Satellite, Satellite imagery, Data mining, Artificial intelligence, other research area, Scale (map), business, computer
وصف الملف: text
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c294f31d3c805d53dc4403cbfac85c
http://arxiv.org/abs/2107.10894 -
10
المؤلفون: Damian Borth, Linus Scheibenreif, Michael Mommert
المصدر: IGARSS
مصطلحات موضوعية: Identification (information), Data access, Benchmark (surveying), Greenhouse gas, Global warming, Environmental science, Gradient boosting, Air quality index, Trace gas, Remote sensing
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::20a9ca7ab002ba218c6e40643fcb15af
https://doi.org/10.1109/igarss47720.2021.9554037