-------- Forwarded Message -------- Subject: Call for Papers - DELTA 2020 (Position/Regular Paper Extension) Date: Tue, 31 Mar 2020 22:00:20 +0000 From: DeLTA Secretariat delta@scitevents.net Reply-To: DeLTA Secretariat delta@scitevents.net To: gustaf.neumann@wu.ac.at
CALL FOR PAPERS
1st International Conference on Deep Learning Theory and Applications
New Position/Regular Paper Submission Deadline: *April 07, 2020 *
*Exceptionally, due to COVID-19, we accept regular paper submissions until the deadline defined for position papers; furthermore, alternative forms of presentation will be made available for those that cannot travel to be able to present their papers. *
*http://www.delta.scitevents.org* http://VZUO.trk.elasticemail.com/tracking/click?d=8UA5Qonbm2d2AirR8Qzem3g640HiYZZvrKf7_56D3jxjlmuc9ErP9LOqcsP5Agw3v77JeUxo7nrumgyJnA0zZQMHH7Vv4oHZ7JDsL9y_weG_3fiRU449kPtt3Zrnk5BXz_9Lu6CZp8-1dPWXCZsF7-s1
July 08 - 10, 2020
Lieusaint - Paris, France
*Due to many requests, the position papers submission deadline of this conference has been extended. *
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: * 1 - Models and Algorithms http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw3LcPgYlU6FtZ5cgjMaECaPaoNGqW3FyhK9ROHU-QPoqrhzSGT0-gQ-gQrMgeenkcdIReMlXcFPVK9ylUT-w9-aoZZZMzWSHSJFucvsdrkxmssPIwvWLVgI7eWpRcXEBpFeHk8ofQPIw7fkfW1Eb0
4 - Computer Vision Applications http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw3LcPgYlU6FtZ5cgjMaECaPaoNGqW3FyhK9ROHU-Ohz76m_DkvAVGZmWw1kaus-x_e-Ag2uW4ooVRY9DNKnJKKvDzjKPqPKBS-bf7FruVubDho7nenLFXjPgVmDM4a5AItNqVBoFJAvgMsCNgovl0
5 - Natural Language Understanding http://VZUO.trk.elasticemail.com/tracking/click?d=kjcUjDISYg5vK6nzTrsvoY3Hw3LcPgYlU6FtZ5cgjMaECaPaoNGqW3FyhK9ROHU-4qZFqJTtaxylMFZcNtCNWWD9i3ENhf8OW_Rnrkeb62mIRyEpQa2USJrarSCM5vLuqyjO1tPsPt9qVjxzqej77YZN2ewIM65vAW2ADbQSYffZ0
Kurosh Madani, University of Paris-EST Créteil (UPEC), France
Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal
*Endorsed by: * International Association for Pattern Recognition
*In Cooperation with * ACM Special Interest Group on Artificial Intelligence International Neural Network Society
With the presence of internationally distinguished keynote speaker: Petia Radeva http://VZUO.trk.elasticemail.com/tracking/click?d=tSHpYY4JjgUa7j248uqMNPyzR8eh-6qSv2_jk1HEz4yaiI3GnoWekLuP9RXqUccOlZ8n_lVDhyLaNThFcsyONPzH8pk-urHDXsSlTGutTleFInqrBMG3-j6nsHNU8lfhoFnugHn9kf8653k6eOkZVBmq7UmJ5v6hMHUBb5IOUKjx0, Universitat de Barcelona, Spain
Proceedings will be submitted for *indexation by: * The DBLP Computer Science Bibliography Thomson Reuters Engineering Index (EI) SCOPUS Semantic Scholar Google Scholar Microsoft Academic
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer http://VZUO.trk.elasticemail.com/tracking/click?d=IUkHIchreuWNesWRwGI8jt6vWDHacOv7hXraQgC2jyWcHE1F3OTKEIR79RhmdATJLE7CM1HYX9DwLDzdfSf0yDKrxhts0wXcPzCD6h4R9HAdp1nczDGpIc1OKH1jWiVZpZiiF0xJ1Bve8SA_HBh6nic1 in a CCIS Series book.
All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library http://VZUO.trk.elasticemail.com/tracking/click?d=TqOgEHPpYWZ-t4vKmbNK_NnpLLUzUV_aRALixP5YCBu3Q3mS4FqCAWxbMJETo6DWdjyljO_JCtixtJrsMHcmYGRYFVrxTqEomI-WjUcBgUp_XRo_dYTVIvOwPsoXioedQGua4wOpCvPfRTVa5nRMzs01.
Kind regards, Ana Rita Paciência DeLTA Secretariat
*Address: * Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal *Tel: * +351 265 520 185 *Web: * http://www.delta.scitevents.org http://VZUO.trk.elasticemail.com/tracking/click?d=8UA5Qonbm2d2AirR8Qzem3g640HiYZZvrKf7_56D3jxjlmuc9ErP9LOqcsP5Agw3ccTsp2kyfFOp1eKL__AsmEFAGSumh-DJLPq9Z3NwJZFcq2pCSkfNVpk8KuNY4DxrT_iH25qsoHj38cj87c4wsTc1
*e-mail: * delta.secretariat@insticc.org mailto:delta.secretariat@insticc.org
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SCITEVENTS, Av. S. Francisco Xavier Lote 7 Cv. C, Setúbal, 2900-616, Portugal
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Gustaf Neumann