Artificial neural networks and machine learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III
Gespeichert in:
| Körperschaft: | |
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| Weitere Verfasser: | , , , , |
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2022]
|
| Schriftenreihe: | Lecture notes in computer science
13531 |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext |
| Beschreibung: | 1 Online-Ressource (xxii, 813 Seiten) 312 Illustrationen, 280 in Farbe |
| ISBN: | 9783031159343 |
| ISSN: | 1611-3349 |
| DOI: | 10.1007/978-3-031-15934-3 |
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| genre | (DE-588)1071861417 Konferenzschrift 2022 Bristol gnd-content |
| genre_facet | Konferenzschrift 2022 Bristol |
| id | DE-604.BV048495940 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:43:17Z |
| indexdate | 2025-03-13T04:01:04Z |
| institution | BVB |
| institution_GND | (DE-588)1270763067 |
| isbn | 9783031159343 |
| issn | 1611-3349 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033873295 |
| oclc_num | 1347213915 |
| open_access_boolean | |
| owner | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 DE-83 |
| owner_facet | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 DE-83 |
| physical | 1 Online-Ressource (xxii, 813 Seiten) 312 Illustrationen, 280 in Farbe |
| psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022 ZDB-2-LNC ZDB-2-LNC_2022 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spellingShingle | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III Lecture notes in computer science Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks Artificial intelligence Application software Image processing—Digital techniques Computer vision Computer engineering Computer networks Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd |
| subject_GND | (DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4039798-1 (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)4196864-5 (DE-588)1071861417 |
| title | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III |
| title_auth | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III |
| title_exact_search | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III |
| title_exact_search_txtP | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part III |
| title_full | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.) |
| title_fullStr | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.) |
| title_full_unstemmed | Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.) |
| title_short | Artificial neural networks and machine learning – ICANN 2022 |
| title_sort | artificial neural networks and machine learning icann 2022 31st international conference on artificial neural networks bristol uk september 6 9 2022 proceedings part iii |
| title_sub | 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part III |
| topic | Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks Artificial intelligence Application software Image processing—Digital techniques Computer vision Computer engineering Computer networks Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd |
| topic_facet | Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks Artificial intelligence Application software Image processing—Digital techniques Computer vision Computer engineering Computer networks Gehirn Nervennetz Modell Neuronales Netz Maschinelles Lernen Anwendung Konferenzschrift 2022 Bristol |
| url | https://doi.org/10.1007/978-3-031-15934-3 |
| volume_link | (DE-604)BV014880109 |
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