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Call for Papers

DeLTA is sponsored by INSTICC – Institute for Systems and Technologies of Information, Control and Communication

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.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. MODELS AND ALGORITHMS
2. MACHINE LEARNING
3. BIG DATA ANALYTICS
4. COMPUTER VISION APPLICATIONS
5. NATURAL LANGUAGE UNDERSTANDING


AREA 1: MODELS AND ALGORITHMS


  • Recurrent Neural Network (RNN)
  • Sparse Coding
  • Neuro-Fuzzy Algorithms
  • Evolutionary Methods
  • Convolutional Neural Networks (CNN)
  • Deep Hierarchical Networks (DHN)
  • Dimensionality Reduction
  • Unsupervised Feature Learning
  • Deep Boltzmann Machines
  • Generative Adversarial Networks (GAN)
  • Autoencoders
  • Deep Belief Networks

AREA 2: MACHINE LEARNING


  • Active Learning
  • Meta-Learning and Deep Networks
  • Deep Metric Learning Methods
  • MAP Inference in Deep Networks
  • Deep Reinforcement Learning
  • Learning Deep Generative Models
  • Deep Kernel Learning
  • Graph Representation Learning
  • Gaussian Processes for Machine Learning
  • Clustering, Classification and Regression
  • Classification Explainability

AREA 3: BIG DATA ANALYTICS


  • Extracting Complex Patterns
  • IoT and Smart Devices
  • Security Threat Detection
  • Semantic Indexing
  • Data Tagging
  • Fast Information Retrieval
  • Scalability of Models
  • Data Integration and Fusion
  • High-Dimensional Data
  • Streaming Data
  • Genomics and Bioinformatics

AREA 4: COMPUTER VISION APPLICATIONS


  • Image Classification
  • Object Detection
  • Face Recognition
  • Facial Expression Analysis
  • Action Recognition
  • Human Pose Estimation
  • Image Retrieval
  • Semantic Segmentation
  • Deep Image Denoising

AREA 5: NATURAL LANGUAGE UNDERSTANDING


  • Sentiment Analysis
  • Mobile Text Messaging Applications
  • Question Answering Applications
  • Speech Interfaces
  • Language Translation
  • Document Summarization
  • Content Filtering on Social Networks
  • Recommender Systems

KEYNOTE SPEAKERS

Petia RadevaUniversitat de Barcelona, Spain
Vincent LepetitÉcole des Ponts ParisTech, France

PAPER SUBMISSION

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.

PUBLICATIONS

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (consult SCITEPRESS Ethics of Publication)
It is planned to publish a short list of revised and extended versions of presented papers with Springer in a CCIS Series book
The proceedings will be submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Conference Proceedings Citation Index.

SECRETARIAT

DeLTA Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: delta.secretariat@insticc.org
Web: http://www.delta.scitevents.org

VENUE

Available soon.

CONFERENCE CHAIR

Kurosh MadaniUniversity of Paris-EST Créteil (UPEC), France

PROGRAM CHAIR

Ana FredInstituto de Telecomunicações and University of Lisbon, Portugal

PROGRAM COMMITTEE MEMBERS

Luis Anido-Rifon, University of Vigo, Spain
Alessandro Artusi, RISE Ltd, Cyprus
George Awad, National Institute Standards Technology, United States
Nebojsa Bacanin, Singidunum University, Serbia
Rodrigo Barros, Pontificia Universidade Católica do Rio Grande Sul, Brazil
Hasan Bulut, Ege University, Turkey
Matias Carrasco Kind, University Illinois Urbana Champaign, United States
Stefano Cavuoti, University of Naples Federico II, Italy
Stephan Chalup, The University Newcastle, Australia
Claudio Cusano, University of Pavia, Italy
Yang Dai, University Illinois Chicago, United States
Marcilio de Souto, LIFO/University of Orléans, France
Bernadette Dorizzi, Institut Mines-Telecom, Telecom SudParis, France
Ke-Lin Du, Concordia University Montréal, Canada
Corneliu Florea, , Laboratory of Image Processing and Analysis, Applied Electronics and Information Engineering, Romania
Gilles Guillot, iPRI, France
Pengyu Hong, Brandeis University, United States
Chih-Chin Lai, National University Kaohsiung, Taiwan, Republic of China
Chang-Hsing Lee, Chung Hua University, Taiwan, Republic of China
Fuhai Li, Washington University Saint Louis, United States
Huaqing Li, Southwest University, China
Yung-Hui Li, National Central University, Taiwan, Republic of China
Ge Li, Peking University, China
Simon Liao, University Winnipeg, Canada
Yang Liu, Harbin Institute of Technology, Shenzhen, China
Fernando Lyardet, Urban Software Institute GmbH, Germany
Perry Moerland, Amsterdam UMC, University Amsterdam, Netherlands
Juan Pantrigo, Universidad Rey Juan Carlos, Spain
George Papakostas, International Hellenic University, Greece
Mihail Popescu, University of Missouri, United States
Andrew Reader, Kings College London, United Kingdom
Carlo Sansone, University of Naples Federico II, Italy
Li Shen, Icahn School of Medicine at Mount Sinai, United States
Sunghwan Sohn, Mayo Clinic, United States
Ryszard Tadeusiewicz, Agh University Science Technology, Poland
Marco Turchi, Fondazione Bruno Kessler, Italy
Aalt van Dijk, Wageningen University Research Centre, Netherlands
Liangjiang Wang, Clemson University, United States
Wai Lok Woo, Northumbria University, United Kingdom
Seokwon Yeom, Daegu University, Korea, Republic of
Yizhou Yu, The University of Hong Kong, Hong Kong

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