Workshop on Information-Communication Technologies & Embedded Systems, deadline for submissions October 2

August 13th, 2020 Daniela Lopez de Luise

 

From: Krainyk, Yaroslav <yaroslav.krainyk@chmnu.edu.ua>
Sent: Tuesday, August 11, 2020 7:12 AM
Cc: Kondratenko, Yuriy <yuriy.kondratenko@chmnu.edu.ua>

2nd International Workshop on Information-Communication

Technologies & Embedded Systems

 

November 12 – Mykolaiv, Ukraine

 

https://ictes.chmnu.edu.ua/

 

GENERAL INFORMATION

 

ICT&ES sets a goal to serve as a platform for publishing research

results, sharing findings with other researchers, and development

of collaborations between scientists. With active tremendous pace

of technologies development, ICT&ES concentrates on development of

models and methods in context of modern technologies and concepts

(IoT, SDN, AI, Big Data, Data Mining, Blockchain, etc.). The

program of the workshop also includes master-classes from the

experts from the leading IT-companies of Mykolaiv.

 

CONFERENCE TOPICS

 

Information systems

 

Intelligent systems

 

Software design and modeling

 

Cybersecurity

 

Computer networks

 

Internet-of-Things

 

Mathematical modeling

 

Embedded Systems

 

Software and Hardware components of ES

 

FPGA-based systems

 

INTERNATIONAL PROGRAM COMMITTEE

 

Yuriy Kondratenko, Petro Mohyla Black Sea National University,

Mykolaiv, Ukraine, Chairman of Program Committee

 

Yevgeniy Bodyanskiy, Kharkiv National University of Radio

Electronics, Kharkiv, Ukraine

 

Leszek Chmielewski, Warsaw University of Life Sciences, Warsaw,

Poland

 

Oleksandr Drozd, Odessa National Polytechnic University, Ukraine

 

Anna Maria Gil Lafuente, University of Barcelona, Barcelona, Spain

 

Janusz Kacprzyk, Systems Research Institute of the Polish Academy

of Sciences, Warsaw, Poland

 

Vyacheslav Kharchenko, National Aerospace University KhAI, Kharkiv,

Ukraine

 

Francesco Carlo Morabito, University Reggio Calabria, Reggio

Calabria, Italy

 

Joachim Rudolph, Saarland University, Saarland, Germany

 

Daniel Simon, Cleveland State University, Cleveland, Ohio, USA

 

Marina Solesvik, Western Norway University of Applied Sciences,

Bergen, Norway [Full list of PC members will be announced soon]

 

IMPORTANT DATES

 

Paper submission deadline – 2 October 2020

 

Paper acceptance notification – 26 October 2020

 

Camera-ready paper submission – 2 November 2020

 

Workshop – 12 November 2020

 

CONFERENCE HOST

 

Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

 

Computer Science Faculty of Petro Mohyla Black Sea National

University

 

ORGANIZING COMMITTEE

 

Prof. Leonid Klymenko, rector of Petro Mohyla Black Sea National

University, honorary chair

 

Yaroslav Krainyk, Petro Mohyla Black Sea National University

 

Yevhen Davydenko, Petro Mohyla Black Sea National University

 

Ievgen Sidenko, Petro Mohyla Black Sea National University

 

Anzhela Boiko, Petro Mohyla Black Sea National University

 

Ivan Burlachenko, Petro Mohyla Black Sea National University

 

Yevhen Darnapuk, Petro Mohyla Black Sea National University

 

AUTHORS’ GUIDELINES FOR PAPER SUBMISSION

 

All papers should be formatted according to single-column CEURART

Style. Please, use sample archive from here to prepare your paper

(compilation using LaTeX tools is required). Notice, that paper

formatted using LNCS style will not be submitted for publication.

Full papers (10-16 pages) as well as short papers (5-9 pages) are

invited. Papers of different length will not be considered to

undergo the review process.

 

One author can appear in a list of authors in two papers at most.

 

The list of authors of a submitted paper should not contain more

than 5 authors.

 

Self-citation should not exceed 20%.

 

Each paper will be checked for plagiarism using Unicheck

anti-plagiarism system.

 

Publication is free of charge.

 

All papers should be submitted via EasyChair system –

https://easychair.org/conferences/?conf=ictes2020. Working language

of the conference is English, thus, only paper written in English

can be accepted. All papers will undergo the review process where

at least two reviews for each paper will be provided (blind

peer-review). They will be evaluated according to their relevance

to the workshop topics, scientific contribution, technical level,

practical value, and level of English.

 

ICT&ES-2020 workshop will be held on the basis of Petro Mohyla

Black Sea National University, Mykolaiv, Ukraine. At least one of

the co-authors should present an accepted paper. No-shown papers

will not be included into the final version of proceedings.

 

Due to the COVID-19 pandemic situation, final policies for

presentation are subject to change to comply with local and foreign

regulations and with CEUR-WS politics.

 

WORKSHOP PROCEEDINGS

 

ICT&ES-2020 workshop proceedings shall be submitted to CEUR-WS.org

for online publication.

 

ACCOMMODATION

 

Visitors of the workshop have an option to stay in a comfortable

university hostel with approximate cost 300-350 UAH (10-12 EUR) per

day.

 

SPONSORS AND PARTNERS

 

BRIOlight, Viacom, FintechLab, Unicheck

 

CONTACTS

 

All questions about the workshop should be directed to Yaroslav

Krainyk (yaroslav.krainyk@chmnu.edu.ua) and Yevhen Davydenko

(davydenko@chmnu.edu.ua). Information about the event is available

on Facebook, at https://www.facebook.com/events/744411409654794/

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DeepLearn 2021 Winter: early registration August 21

August 13th, 2020 Daniela Lopez de Luise
 
4th INTERNATIONAL SCHOOL ON DEEP LEARNING
 
DeepLearn 2021 Winter
 
Milan, Italy
 
January 11-15, 2021
 
Co-organized by:
 
Department of Information Engineering
Marche Polytechnic University
 
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
 
https://irdta.eu/deeplearn2021w/
 
******************************************************************
 

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A good paper deserves a good reviewer – Submit your paper to virtual BDTA 2020 (Big Data Technologies and Applications) and get high-quality reviewers with EAI Community Review! (December 5-6, 2020) Springer, Scopus, ISI, more

August 13th, 2020 Daniela Lopez de Luise

Web version

Wuhan, PRC Cyberspace
Conference Dates: December 5 – 6, 2020
Submission Deadline: October 1, 2020 (extended)

EAI is proud to announce that BDTA is going virtual and beyond borders.

Get the same full publication and indexing, enjoy EAI’s fair evaluation and recognition, present your paper to a global audience, and experience virtual meetings live as well as on-demand from the safety and comfort of your home.

BDTA 2020 will take place online due to safety concerns and travel restrictions caused by COVID-19. Although we will miss having everyone meet and connect in person, we feel strongly that knowledge exchange must continue, if not more so. That is why we have equipped our online conferences with live viewing with chat, virtual Q&A, and a multitude of other measures to provide you with a great experience. All of this while making the registration for co-authors and non-authors completely free to give you the biggest possible audience. You can learn more about EAI’s online conferences here.
sCOPE

We have entered in the Big Data Age, and this is really a scientific revolution, not just a fashion. As always, the technological aspects evolve faster than the scientific community mentality. Transforming Big Data into Big Knowledge and developing a new kind of Knowledge-Based Systems require new visions and approaches. Companies, facing the Big Data challenges, are moving faster in the right direction than the scientific community, being under a stronger competitive pressure. They were forced to renounce to wishful thinking, like the idea that a few variables, embedded in a few rules, discovered using the old fashion statistics, will give intelligent support for business decisions. BDTA 2020 (formerly INFOSCALE) is encouraging prospective authors to submit their original, unpublished work.

We are pleased to invite you to submit your paper to BDTA 2020. Submissions should be in English, following the Springer formatting guidelines (see Submission). 
Submit Paper

Read More: Call for Papers
Publication

All accepted and presented papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

BDTA proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

Additional publication opportunities:
Important dates

Full Paper Submission Deadline: october 1, 2020 (extended)

Notification Deadline: november 2, 2020

Camera-ready deadline: november 23, 2020 

Conference dates: december 5 – 6, 2020

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Deadline Extended to August 20 : Call Face and Gesture Analysis for Health Informatics Workshop, FGAHI @ ICMI 2020

August 13th, 2020 Daniela Lopez de Luise

Call Face and Gesture Analysis for Health Informatics Workshop, FGAHI @ ICMI 2020, Oct. 25-29, 2020, Utrecht, the Netherlands http://fgahi.isir.upmc.fr

The 3rd workshop on Face and Gesture Analysis for Health Informatics (FGAHI) will be held in conjunction with ICMI 2020, October 25th – 29th, Utrecht, the Netherlands. The workshop aims to discuss the strengths and major challenges in using computer vision and machine learning of automatic face and gesture analysis for clinical research and healthcare applications. We invite scientists working in related areas of computer vision and machine learning for face and gesture analysis, affective computing, human behavior sensing, and cognitive behavior to share their expertise and achievements in the emerging field of computer vision and machine learning based face and gesture analysis for health informatics.

Topics of interest include, but are not limited to:

    • Facial expression analysis and recognition for healthcare
    • Human gesture (head and body movement) analysis for healthcare
    • Remote physiological sensing for healthcare
    • Human-Computer Interaction systems for healthcare
    • Deep learning based multi-modal signal analysis for healthcare applications
    • Multi-modal (visual, verbal, and/or physiological) fusion for healthcare applications
    • Clinical protocols for face and gesture analysis and modeling in clinical context
    • Applications include but are not limited to: pain intensity measurement, assessment of depression symptoms and severity, assessment of anxiety symptoms, bipolar disorder severity assessment, and autism screening.

    Important dates

    Deadline for workshop paper submission: August 20, 2020


    Decisions released to authors: August 30th, 2020
    Deadline for camera-ready submission: September, 2020 

    Organizers: 

    Di Huang, Beihang University, China
    Zakia Hammal, Carnegie Mellon University, USA
    Liming Chen, Ecole Centrale De Lyon, France
    Mohamed Daoudi, IMT Lille Douai, France
    Kévin Bailly, Sorbonne University, France

    Read More »

    1st CallParticipation: MediaEval 2020 Predicting Media Memorability Task

    August 13th, 2020 Daniela Lopez de Luise

    *******************************************************

    Predicting Media Memorability Task

    2020 MediaEval Benchmarking Initiative for Multimedia Evaluation

    https://multimediaeval.github.io/editions/2020/tasks/memorability/

    *******************************************************

    Register here to participate: 

    https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform

    *******************************************************

    Help us with the annotations: 

    https://annotator.uk/mediaeval/index.php

    *******************************************************

     

    The Predicting Media Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. 

     

    Participants will be provided with an extensive data set of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, it reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the data set comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. 

     

    Participants will be required to train computational models capable of inferring video memorability from visual content. Models will be evaluated through standard evaluation metrics used in ranking tasks.

     

     

    ***********************

    Target communities

    ***********************

    Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to).

     

     

    ***********************

    Data & ground truth

    ***********************

    Data is composed of 6,000 short videos retrieved from TRECVid 2019 Video to Text data set. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Similar to previous editions of the task, memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorisation of the videos (short term), and then 24 to 72 hours later (long term). The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Aesthetic Features, C3D, Captions, Colour Histograms, HMP, HoG, Fc7 layer from InceptionV3, LBP, or ORP. In comparison to the videos used in this task in 2018 and 2019, the TRECVid videos have much more action happening in them and thus are more interesting for subjects to view.

     

     

    ***********************

    MediaEval Workshop

    ***********************

    Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held online in early December 2020. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org).

     

     

    ***********************

    Important dates (tentative)

    ***********************

    (open) Participant registration: July

    Development data release: 21 August

    Test data release: 21 September

    Runs due: 15 October

    Working notes papers due: 30 November

    MediaEval Workshop, online: Early December

     

     

    ***********************

    Task coordination

    ***********************

    Alba Garcia Seco de Herrera, Rukiye Savran Kiziltepe, Faiyaz Doctor, University of Essex, UK

    Mihai Gabriel Constantin, Bogdan Ionescu, University Politehnica of Bucharest, Romania

    Alan Smeaton, Graham Healy, Dublin City University, Ireland

    Claire-Helene Demarty, InterDigital, France

     

     

    On behalf of the Organizers,

     

    Dr Alba García Seco de Herrera PhD

    Lecturer

    Department of Computer Science and Electronic Engineering (CSEE)

    University of Essex

     

    T +44 (0) 1206 872907

    E alba.garcia@essex.ac.uk

    ► https://www.essex.ac.uk/

     

    WE ARE ESSEX 

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