DeLTA 2026 will be held in conjunction with ICSOFT 2026 and DATA 2026.
Registration to DeLTA allows free access to the ICSOFT and DATA conferences (as a non-speaker).
Upcoming Submission Deadlines
Regular Paper Submission:
March 3, 2026
Position/Regular Paper Submission:
April 16, 2026
(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.
Publications:
Proceedings will be submitted for evaluation for indexing by: