DELTA: Symposium/Workshop on Electronic Design, Test and Applications

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2026 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
DeLTA 2025 6th International Conference on Deep Learning Theory and Applications
Jun 13, 2025 - Jun 14, 2025 Bilbao, Spain Jan 17, 2025
DELTA 2011 IEEE 6th International Symposium on Electronic Design, Test and Application
Jan 17, 2011 - Jan 19, 2011 Queenstown, New Zealand Aug 13, 2010
DELTA 2008 IEEE International Workshop on Electronic Design, Test and Application
Jan 23, 2008 - Jan 25, 2008 Kowloon, China Nov 16, 2007 (Sep 7, 2007)
 
 

Present CFP : 2025

CALL FOR PAPERS

6th International Conference on Deep Learning Theory and Applications (DeLTA)
Submission Deadline: January 17, 2025


In Cooperation with:
Association for the Advancement of Artificial Intelligence

Proceedings will be submitted for evaluation for indexation by:
DBLP
Google Scholar
EI-Compendex
INSPEC
Japanese Science and Technology Agency (JST)
Norwegian Register for Scientific Journals and Series
Mathematical Reviews
SCImago
Scopus
zbMATH
Web of Science / Conference Proceedings Citation Index

The event will be of hybrid nature, in the sense that online presentations of accepted papers will be possible for those authors that are unable to travel to the venue.

https://delta.scitevents.org
June 13 - 14, 2025
Bilbao, Spain
---------
Scope:
Deep Learning and Big Data Analytics are two major topics of data science, nowadays. Big Data has become important in practice, as many organizations have been collecting massive amounts of data that can contain useful information for business analysis and decisions, impacting existing and future technology. A key benefit of Deep Learning is the ability to process these data and extract high-level complex abstractions as data representations, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled.

Machine-learning and artificial intelligence are pervasive in most real-world applications scenarios such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains. Deep learning approaches, leveraging on big data, are outperforming state-of-the-art more “classical” supervised and unsupervised approaches, directly learning relevant features and data representations without requiring explicit domain knowledge or human feature engineering. These approaches are currently highly important in IoT applications.



DeLTA is organized in 5 major tracks:
Machine Learning
Models and Algorithms
Big Data Analytics
Computer Vision Applications
Natural Language Understanding

Conference Chair(s)
Carlo Sansone, University of Naples Federico II, Italy
Oleg Gusikhin, Ford Motor Company, United States

Program Chair(s)
Emanuele Maiorana, Roma Tre University, Italy
Allel Hadjali, Poitiers, France

Program Committee
https://delta.scitevents.org/ProgramCommittee.aspx

DeLTA Secretariat
delta.secretariat@insticc.org

Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel:+351 265 520 185
Web: https://delta.scitevents.org
 

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