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Call for Papers

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


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.


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:



  • 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


  • 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


  • 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


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


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


Matias Carrasco KindUniversity Illinois Urbana Champaign, United States
Barbara CaputoPolitecnico di Torino, Italy
Fabio ScottiUniversita degli Studi di Milano, Italy
Elisabeth AndréUniversity of Augsburg, Germany


Authors can submit their work in the form of a complete paper or an abstract, but please note that accepted abstracts are presented but not published in the proceedings of the conference. Complete papers can be submitted as 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.

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.

When submitting a complete paper please note that 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.

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.


All accepted complete 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).
The proceedings will be submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.


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


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


Ana FredInstituto de Telecomunicações and University of Lisbon, Portugal
Carlo SansoneUniversity of Naples Federico II, Italy


Badri Adhikari, University Of Missouri-st. Louis, United States
Frederic Alexandre, INRIA, France
Al-Janabi Al-janabi, University Of Babylon, Iraq
Luis Anido-Rifon, University of Vigo, Spain
Vijayan Asari, University Dayton, United States
Nebojsa Bacanin, Singidunum University, Serbia
Davide Bacciu, University Of Pisa, Italy
Ulas Bagci, University Central Florida, United States
Aneesha Bakharia, The University Of Queensland, Australia
Rodrigo Barros, Pontificia Universidade Católica do Rio Grande Sul, Brazil
Enza Bicocca, University of Milano-Bicocca, Italy
Enrico Blanzieri, University Of Trento, Italy
Hasan Bulut, Ege University, Turkey
Stefano Cavuoti, University of Naples Federico II, Italy
Stephan Chalup, The University Newcastle, Australia
Krzysztof Cios, Virginia Commonwealth University, United States
Claudio Cusano, University of Pavia, Italy
Yang Dai, University Illinois Chicago, United States
Shyam Diwakar, Amrita University, India
Ke-Lin Du, Concordia University Montréal, Canada
George Fazekas, Queen Mary London, United Kingdom
Paul Fergus, Liverpool John Moores University, United Kingdom
Corneliu Florea, Laboratory of Image Processing and Analysis, Applied Electronics and Information Engineering, Romania
Pablo Gil, Computer Science Research Institute, University of Alicante, Spain
Gilles Guillot, Independent Data Analytics Consultant, France
Tunga Gungor, Bogazici University, Turkey
Bilge Gunsel, Istanbul Technical University, Turkey
Jie Han, University Alberta, Canada
Fang Han, University Of Washington, United States
Laurent Heutte, Université de Rouen, France
Dariusz Jakóbczak, Technical University of Koszalin, Poland
Ioannis Kakadiaris, Democritus University of Thrace (DUTH), United States
Byung-Gyu Kim, Sookmyung Women's University, Korea, Republic of
Chih-Chin Lai, National University Kaohsiung, Taiwan, Republic of China
Chang-Hsing Lee, Chung Hua University, Taiwan, Republic of China
Marco Leo, National Research Council of Italy, Italy
Rory Lewis, University of Colorado Colorado Springs, United States
Yan-Fu Li, Tsinghua University, China
Fuhai Li, Washington University Saint Louis, United States
Ge Li, Peking University, China
Yung-Hui Li, National Central University, Taiwan, Republic of China
Huaqing Li, Southwest University, China
Yang Liu, Harbin Institute of Technology, Shenzhen, China
Ye Liu, National University Of Singapore, Singapore
Chaomin Luo, Mississippi State University, United States
Fernando Lyardet, Urban Software Institute GmbH, Germany
Perry Moerland, Amsterdam UMC, University Amsterdam, Netherlands
Sathyan Munirathinam, Unknown, United States
Tomoyuki Naito, Osaka University, Japan
Juan Pantrigo, Universidad Rey Juan Carlos, Spain
George Papakostas, International Hellenic University, Greece
Stefania Perri, University of Calabria, Italy
Wojciech Pietrowski, Poznan University Of Technology, Poland
Oksana Pomorova, University Of Lodz, Poland
Mihail Popescu, University of Missouri-Columbia, United States
Mircea-Bogdan Radac, Politehnica University of Timisoara, Romania
Miloš Radovanovic, University of Novi Sad, Faculty of Sciences, Serbia
Sivaramakrishnan Rajaraman, National Library of Medicine, United States
Andrew Reader, Kings College London, United Kingdom
José Saavedra, Orand S.A, Chile
Rafal Scherer, Czestochowa University Technology, Poland
Jitae Shin, Sungkyunkwan University, Korea, Republic of
Sunghwan Sohn, Mayo Clinic, United States
Gunho Sohn, York University, Canada
Minghe Sun, University Texas San Antonio, United States
Ryszard Tadeusiewicz, Agh University Science Technology, Poland
Aalt van Dijk, Wageningen University Research Centre, Netherlands
Liangjiang Wang, Clemson University, United States
Chenwei Wang, DOCOMO Innovations, Inc., United States
Guo-Wei Wei, Michigan State University, United States
Theodore Willke, Intel Corporation, United States
Wai Lok Woo, Northumbria University, United Kingdom
Jianhua Xuan, , United States
Seokwon Yeom, Daegu University, Korea, Republic of
Yizhou Yu, The University of Hong Kong, Hong Kong
Wang Zhi, Nankai University, China
Ewa Ziemba, Economic University in Katowice, Poland

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