Explainable AI: interpreting, explaining and visualizing deep learning:
Gespeichert in:
Körperschaft: | |
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Weitere Verfasser: | , , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2019]
|
Schriftenreihe: | Lecture notes in computer science
11700 |
Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UER01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (xi, 439 Seiten) 152 Illustrationen, 119 in Farbe |
ISBN: | 9783030289546 |
DOI: | 10.1007/978-3-030-28954-6 |
Internformat
MARC
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Datensatz im Suchindex
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any_adam_object | |
author2 | Samek, Wojciech Montavon, Grégoire Vedaldi, Andrea Hansen, Lars Kai 19XX- Muller, Klaus-Robert |
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author_corporate | NIPS Long Beach, Calif |
author_corporate_role | aut |
author_facet | Samek, Wojciech Montavon, Grégoire Vedaldi, Andrea Hansen, Lars Kai 19XX- Muller, Klaus-Robert NIPS Long Beach, Calif |
author_sort | NIPS Long Beach, Calif |
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dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-030-28954-6 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV046189970 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T14:51:14Z |
institution | BVB |
institution_GND | (DE-588)1164448722 |
isbn | 9783030289546 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031569355 |
oclc_num | 1123168393 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-83 |
owner_facet | DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-83 |
physical | 1 Online-Ressource (xi, 439 Seiten) 152 Illustrationen, 119 in Farbe |
psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2019 ZDB-2-LNC_2019 ZDB-2-LNC ZDB-2-LNC_2019 |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Springer |
record_format | marc |
series | Lecture notes in computer science |
series2 | Lecture notes in computer science Lecture notes in artificial intelligence State-of-the-art survey |
spellingShingle | Explainable AI: interpreting, explaining and visualizing deep learning Lecture notes in computer science Artificial Intelligence Image Processing and Computer Vision Computing Milieux Systems and Data Security Computer Systems Organization and Communication Networks Artificial intelligence Computer vision Computer science Computer security Computer network architectures Deep learning (DE-588)1135597375 gnd Visualisierung (DE-588)4188417-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
subject_GND | (DE-588)1135597375 (DE-588)4188417-6 (DE-588)4033447-8 (DE-588)1071861417 |
title | Explainable AI: interpreting, explaining and visualizing deep learning |
title_auth | Explainable AI: interpreting, explaining and visualizing deep learning |
title_exact_search | Explainable AI: interpreting, explaining and visualizing deep learning |
title_full | Explainable AI: interpreting, explaining and visualizing deep learning Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Muller (Eds.) |
title_fullStr | Explainable AI: interpreting, explaining and visualizing deep learning Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Muller (Eds.) |
title_full_unstemmed | Explainable AI: interpreting, explaining and visualizing deep learning Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Muller (Eds.) |
title_short | Explainable AI: interpreting, explaining and visualizing deep learning |
title_sort | explainable ai interpreting explaining and visualizing deep learning |
topic | Artificial Intelligence Image Processing and Computer Vision Computing Milieux Systems and Data Security Computer Systems Organization and Communication Networks Artificial intelligence Computer vision Computer science Computer security Computer network architectures Deep learning (DE-588)1135597375 gnd Visualisierung (DE-588)4188417-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
topic_facet | Artificial Intelligence Image Processing and Computer Vision Computing Milieux Systems and Data Security Computer Systems Organization and Communication Networks Artificial intelligence Computer vision Computer science Computer security Computer network architectures Deep learning Visualisierung Künstliche Intelligenz Konferenzschrift |
url | https://doi.org/10.1007/978-3-030-28954-6 |
volume_link | (DE-604)BV014880109 |
work_keys_str_mv | AT nipslongbeachcalif explainableaiinterpretingexplainingandvisualizingdeeplearning AT samekwojciech explainableaiinterpretingexplainingandvisualizingdeeplearning AT montavongregoire explainableaiinterpretingexplainingandvisualizingdeeplearning AT vedaldiandrea explainableaiinterpretingexplainingandvisualizingdeeplearning AT hansenlarskai explainableaiinterpretingexplainingandvisualizingdeeplearning AT mullerklausrobert explainableaiinterpretingexplainingandvisualizingdeeplearning |