Call for Papers

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

Matias Carrasco Kind, University Illinois Urbana Champaign, United States
Fabio Scotti, Universita degli Studi di Milano, Italy
Elisabeth André, University of Augsburg, Germany
Petia Radeva, Universitat de Barcelona, Spain

PAPER SUBMISSION

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.

PUBLICATIONS

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, DBLP, Semantic Scholar, Microsoft Academic, EI and Web of Science / 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

CONFERENCE CHAIR

Kurosh Madani, University of Paris-EST Créteil (UPEC), France

PROGRAM CO-CHAIRS

Ana Fred, Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon), Portugal
Carlo Sansone, University of Naples Federico II, Italy

PROGRAM COMMITTEE MEMBERS

Badri Adhikari, University of Missouri-St. Louis, United States
Frederic Alexandre, INRIA, France
Al-Janabi Al-Janabi, University of Babylon, Iraq
Luis E. Anido-Rifon, University of Vigo, Spain
Nebojsa Bacanin, Singidunum University, Serbia
Enrico Blanzieri, University of Trento, Italy
Stefano Cavuoti, University of Naples Federico II, Italy
Stephan Chalup, The University Newcastle, Australia
Claudio Cusano, University of Pavia, Italy
Ke-Lin Du, Concordia University Montréal, Canada
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 B. Guillot, CSL Behring / Swiss Institute for Translational and Entrepreneurial Medicine, Switzerland
Tunga Gungor, Bogazici University, Turkey
Laurent Heutte, Université de Rouen, France
Dariusz J. Jakóbczak, Technical University of Koszalin, Poland
Chang-Hsing Lee, Ming Chi University of Technology, Taiwan, Republic of China
Marco Leo, National Research Council of Italy, Italy
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
Fernando Lyardet, Urban Software Institute GmbH, Germany
Perry D. Moerland, Amsterdam UMC, University Amsterdam, Netherlands
Tomoyuki Naito, Osaka University, Japan
Juan J. Pantrigo, Universidad Rey Juan Carlos, Spain
George A. Papakostas, International Hellenic University, Greece
Stefania Perri, University of Calabria, Italy
Wojciech Pietrowski, Poznan University of Technology, Poland
Oksana Pomorova, University of Lodz, Poland
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
José Saavedra, Orand S.A, Chile
Jitae Shin, Sungkyunkwan University, Korea, Republic of
Sunghwan Sohn, Mayo Clinic, United States
Minghe Sun, University Texas San Antonio, United States
Ryszard Tadeusiewicz, AGH University Science Technology, Poland
Aalt van Dijk, Wageningen University Research Centre, Netherlands
Jianhua Xuan, Virginia Tech, United States
Seokwon Yeom, Daegu University, Korea, Republic of
Yizhou Yu, The University of Hong Kong, Hong Kong
Wang Zhi, Nankai University, China