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Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search

Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search
— stato
pubblicato
— tipo
articolo in atti
chi
— autori
Andrea Agiollo  •  Giovanni Ciatto  •  Andrea Omicini
— curatori
Davide Calvaresi  •  Amro Najjar  •  Michael Winikoff  •  Kary Främling
dove e quando
— data di pubblicazione
2021
— volume
Explainable and Transparent AI and Multi-Agent Systems. 3rd International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers
— serie
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
— volume n.
12688
— pagine
63–82
— numero di pagine
20
— editore
Springer Nature
allineamento BibTeX
— indirizzo
Basel, Switzerland
URL
URL
— DBLP
conf/atal/AgiolloCO21
— DOI
10.1007/978-3-030-82017-6_5
— IRIS
11585/838540
— Lens
037-531-814-474-551
— OpenAlex
W3186876638
— Google Scholar
8606811357246615623
— Scopus
2-s2.0-85113325735
— Semantic Scholar
236460263
— Web of Science
WOS:000691781800005
ISBN & ISSN
— ISSN
0302-9743
— E-ISSN
1611-3349
— ISBN
978-3-030-82016-9
— E-ISBN
978-3-030-82017-6
APICe
— presentazione di riferimento
Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search
— rivista o collana
Lecture Notes in Computer Science
— evento origine
EXTRAAMAS 2021
— progetto finanziatore
EXPECTATION  •  StairwAI