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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)
  • Evolutionary Methods
  • Convolutional Neural Networks (CNN)
  • Deep Hierarchical Networks (DHN)
  • Dimensionality Reduction
  • Unsupervised Feature Learning
  • Generative Adversarial Networks (GAN)
  • Autoencoders

AREA 2: MACHINE LEARNING


  • Active Learning
  • Meta-Learning and Deep Networks
  • Deep Metric Learning Methods
  • Deep Reinforcement Learning
  • Learning Deep Generative Models
  • Deep Kernel Learning
  • Graph Representation Learning
  • Clustering, Classification and Regression
  • Classification Explainability

AREA 3: BIG DATA ANALYTICS


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

AREA 4: COMPUTER VISION APPLICATIONS


  • Image Classification
  • Object Detection
  • Face Recognition
  • Image Retrieval
  • Semantic Segmentation

AREA 5: NATURAL LANGUAGE UNDERSTANDING


  • Sentiment Analysis
  • Question Answering Applications
  • Language Translation
  • Content Filtering on Social Networks
  • Recommender Systems

KEYNOTE SPEAKERS

Luís Paulo Reis, University of Porto, Portugal
Davide Bacciu, University of Pisa, Italy

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 by Springer in the conference proceedings, under an ISBN reference.
The proceedings will be abstracted/indexed in DBLP, Google Scholar, EI-Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, Mathematical Reviews, SCImago, Scopus and zbMATH. CCIS volumes are also submitted for the inclusion in ISI Proceedings.

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: https://delta.scitevents.org

VENUE

Our event will take place at the Mercure Roma West Hotel Hotel, strategically located in the city of Rome due to the proximity with the city center and the International Airport Fiumicino.

CONFERENCE CO-CHAIRS

Oleg Gusikhin, Ford Motor Company, United States
Carlo Sansone, University of Naples Federico II, Italy

PROGRAM CO-CHAIRS

Donatello Conte, Université de Tours, France
Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal

PROGRAM COMMITTEE MEMBERS

Marco A. Aceves - Fernández, Autonomous University of Queretaro, Mexico
Al-Janabi Al-janabi, University of Babylon, Iraq
Luis E. Anido-Rifon, University of Vigo, Spain
Nebojsa Bacanin, Singidunum University, Serbia
Abdul Bais, University of Regina, Canada
Alberto D. Bimbo, Università degli Studi di Firenze, Italy
Enrico Blanzieri, University of Trento, Italy
Marco Buzzelli, University of Milano - Bicocca, Italy
Wei Cheng, NEC Laboratories Europe, Germany
Claudio Cusano, University of Pavia, Italy
Arturo De La Escalera, Universidad Carlos III De Madrid, Spain
Jorge Dias, Khalifa University, United Arab Emirates
Junyu Dong, Ocean University of China, China
Gilles B. Guillot, World Health Organization, France
Deepak Gupta, Maharaja Agrasen School of Technology, India
Abdulkader helwan, Near East University, Turkey
Laurent Heutte, Université de Rouen, France
Tarmizi Ahmad Izzuddin, Technical University of Malaysia, Malaysia
Ramachandran K I, Amrita Vishwa Vidyapeetham, India
Ioannis Kakadiaris, Democritus University of Thrace (DUTH), United States
Youngwook Kim, California State Polytechnic University, United States
Rakesh Kumar, SRI International, United States
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
Yung-Hui Li, National Central University, Taiwan, Republic of China
Ge Li, Peking University, China
Xingyu Li, University of Alberta, Canada
Huaqing Li, Southwest University, China
Fuhai Li, Washington University Saint Louis, United States
Kang Li, University of Leeds, United Kingdom
Marc Masana Castrillo, Computer Vision Center, Spain
Perry D. Moerland, Amsterdam UMC, University Amsterdam, Netherlands
Parham Moradi, University Of Kurdistan, Iran, Islamic Republic of
Parma Nand, Auckland University of Technology, New Zealand
Le-Minh Nguyen, Japan Advanced Institute of Science and Technology, Japan
Aline Paes, Universidade Federal Fluminense, Brazil
Juan J. Pantrigo, Universidad Rey Juan Carlos, Spain
George A. Papakostas, International Hellenic University, Greece
Stefania Perri, University of Calabria, Italy
Mircea-Bogdan Radac, Politehnica University of Timisoara, Romania
Sivaramakrishnan Rajaraman, National Library of Medicine, United States
Prabira Kumar Sethy, Sambalpur University, India
Monika Sharma, , India
Jitae Shin, Sungkyunkwan University, Korea, Republic of
Amin Shoukry, Egypt-Japan University of Science and Technology (E-JUST), Department of Computer Science and Engineering, Egypt
Anderson da Silva Soares, Federal University of Goias, Brazil
Sunghwan Sohn, Mayo Clinic, United States
Minghe Sun, University Texas San Antonio, United States
Ryszard Tadeusiewicz, AGH University Science Technology, Poland
Aruna Tiwari, Indian Institute of Technology, Indore, India
Pei-Wei Tsai, Swinburne University of Technology, Australia
Jayaraman Valadi, Shiv Nadar University, India
Aalt van Dijk, Wageningen University Research Centre, Netherlands
Andrés M. Vázquez, , Mexico
Yu Wang, Tsinghua University, China
Theodore Willke, Intel Corporation, United States
Lijun Wu, Fuzhou University, China
Jianhua Xuan, Virginia Tech, United States
Seokwon Yeom, Daegu University, Korea, Republic of

(list not yet complete)

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