Deep Learning Theory and Applications: 5th International Conference, DeLTA 2024, Dijon, France, July 10–11,...

— —

Ana Fred Allel Hadjali

Deep Learning Theory and Applications

5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part...

Ana Fred, Allel Hadjali, Oleg Gusikhin , Carlo Sansone

$163.95 $131.34

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer International Publishing AG
21 August 2024

Computing: general; Data mining; Expert & knowledge-based systems; Natural language & machine translation; Machine learning

Series: Communications in Computer and Information Science

Summary
Details

The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024.

The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc.

Edited by: Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2024 ed.
Volume: 2171
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031666933
ISBN 10: 3031666933
Series: Communications in Computer and Information Science
Pages: 367
Publication Date: 21 August 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active