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DeLTA 2022 will be held in conjunction with ICSOFT 2022, DATA 2022, ICINCO 2022 and SIMULTECH 2022.
Registration to DeLTA allows free access to the ICSOFT, DATA, ICINCO and SIMULTECH conferences (as a non-speaker).

 

Upcoming Submission Deadlines

Regular Paper Submission: March 2, 2022
Position Paper Submission: April 14, 2022
Doctoral Consortium Paper Submission: May 25, 2022

(See Important Dates for more information)

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.

PROGRAM CHAIR

Carlo SansoneUniversity of Naples Federico II, Italy
 
 SCITEPRESS Digital Library

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)

Proceedings will be submitted for indexation by:
The DBLP Computer Science Bibliography
Semantic Scholar
Microsoft Academic


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