Special Issue on “Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis” at MTAP

April 4th, 2023 Daniela Lopez de Luise

Call for Papers: Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

https://www.springer.com/journal/11042/updates/24678968

Summary and Scope

Nowadays, Deep learning (DL) becomes an attractive research topic for many researchers from academia and industry communities. Indeed, DL algorithms have demonstrated their ability to train learning models for large-volume data as well as their performances compared to conventional machine learning algorithms. The DL approaches were studied and applied to resolve several complex problems in various research domains, such as computer vision, biometrics, brain-computer interfaces, robotics, and other fields. Several architectures of DL (e.g., supervised, unsupervised, reinforcement, and beyond) have been proposed in the literature as solutions for various research problems in data analysis related to detection, classification, recognition, prediction, decision-making, etc.

The special issue aims to solicit original research work covering novel algorithms, innovative methods, and meaningful applications based on the DL that can potentially lead to significant advances in biomedical data analysis.

The main topics include, but are not limited to, the following:

• DL for biomedical signal analysis and processing
• DL for medical image analysis and processing
• DL for diseases detection and diagnosis
• DL for pandemics detection and forecasting
• DL for biometrics
• DL in biomedical engineering
• DL for health informatics
• DL for brain-computer interfaces
• DL for neural rehabilitation engineering
• Related applications


Important Dates:
Submission deadline: August 31, 2023
Reviewing deadline: October 15, 2023
Author revision deadline: November 15, 2023
Final notification date: December 15, 2023


Guest editors
Prof. Larbi Boubchir (Lead GE) – University of Paris 8, France
Email: Larbi.boubchir@univ-paris8.fr

Prof. Elhadj Benkhelifa – Staffordshire University, UK
Email: Benkhelifa@staffs.ac.uk

Prof. Jaime Lloret – Universitat Politecnica de Valencia, Spain
Email: jlloret@dcom.upv.es

Prof. Boubaker Daachi – University of Paris 8, France
Email: boubaker.daachi@univ-paris8.fr

Submission Guidelines:
Authors should prepare their manuscript according to the Instructions for Authors available from the Multimedia Tools and Applications website. Authors should submit through the online submission site at https://www.editorialmanager.com/mtap/default.aspx and select “SI 1239 – Emerging Trends and Applications of Deep Learning for Biomedical Data” when they reach the “Article Type” step in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process.

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CFP – MDPI Journal of Electronics – Special issue on “Recent Advances in Audio, Speech and Music Processing and Analysis”

April 4th, 2023 Daniela Lopez de Luise
==========================================
Journal of Electronics (IF 2.690, CiteScore 3.7 Scopus)
ISSN 2079-9292.
This special issue belongs to the section “Circuit and Signal
Processing”.

Special Issue
“Recent Advances in Audio, Speech and Music Processing and Analysis”

Deadline for manuscript submissions: *** 16 October 2023 ***.

https://www.mdpi.com/journal/electronics/special_issues/F79UH5305N
==========================================

Dear Colleagues,

Audio plays an important role in everyday life since it is incorporated
in various applications from broadcasting and telecommunications to the
entertainment, multimedia, and gaming industries. Although less popular
than image processing technology, which has overwhelmed the industry in
recent years, audio processing in academia is under vigorous research
and technological development. The relevant research initiatives are
involved with speech recognition, audio compression, noise canceling,
speaker verification and identification, voice synthesis, and voice
transcription systems, to name a few. Furthermore, with respect to music
signals, research initiatives focus on music information retrieval for
music streaming and recommendation, networked music making, teaching and
performing, autonomous, semi-autonomous computer musicians, and many
more. This Special Issue gives the opportunity to disseminate state of
the art progress on emerging applications, algorithms, and systems
related to audio, speech, and music processing and analysis.

Topics of interest include, but are not limited to:

     Audio and speech analysis and recognition.
     Deep learning for robust speech recognition systems.
     Active noise cancelling systems.
     Blind speech separation.
     Robust speech recognition in multi-simultaneous speaker
environments.
     Room acoustics modeling.
     Environmental sound recognition.
     Music information retrieval.
     Networked music performance systems.
     Internet of Sounds technologies and applications.
     Computer accompaniment and machine musicianship.
     Digital music representations and collaborative music making.
     Online music education technologies.
     Computational approaches to musical acoustics.
     Music generation using deep learning.

=======================================

Guest Editors

Dr. Athanasios Koutras, Electrical & Computer Engineering Dept.,
University of Peloponnese, Greece
Dr. Chrisoula Alexandraki, Department of Music Technology & Acoustics,
Hellenic Mediterranean University, Greece

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Call for competition participation – IJCB 2023 – Face Presentation Attack Detection based on Privacy-aware Synthteic Training Data Competition (SynFacePAD-2023)

April 4th, 2023 Daniela Lopez de Luise

Rumble’s on the NASDAQ & Breaks Records for Q4 2022

April 4th, 2023 Daniela Lopez de Luise

Rumble Newsletter Header

Rumble Breaks Records for the 4th Quarter 2022

 

Hi Rumble'rs,

As you may already know, Rumble went public in September 2022. Our ticker symbol is RUM, and we are listed on the NASDAQ. Just last week, we reported our earnings for the fourth quarter of 2022. We are happy to announce we finished the year with record breaking results:

  • Q4 Revenue Increased 579% to $20.0 Million Compared to Q4 2021; Full Year 2022 Revenue Increased 316%
  • Achieved Q4 2022 Company Record Key Performance Indicators
  • Average Global Monthly Active Users Increased to 80 Million, Up 142% Compared to Q4 2021
  • Completed Significant Milestone with Beta Launch of Pre-Roll Video Ads on Advertising Center

You can read the full press release here.

We are very thankful to our creators, viewers, partners, friends, investors, and fans. We couldn’t have gotten this far without you. Whether you have been with us since the beginning, or just found us today, thank you for your support.

Love, Team Rumble!

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Deadline Extended to April 14: CFP: 18th International conference on machine vision applications

April 4th, 2023 Daniela Lopez de Luise
18TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS

The eighteenth International Conference on Machine Vision Applications will be held at ACT CITY Hamamatsu, Shizuoka, Japan from July 23 through 25, 2023.
The conference is sponsored by the IEICE-ISS, co-organized by IEICE-ISS-PRMU, and endorsed by IAPR.

Submission deadline has been extended.
Full Paper (4 pages) Submission Deadline: March 31, 2023 → April 14, 2023 (23:59 PST) [extended]
We look forward to your submission.
Accepted papers will be published in IEEE Xplore.

The aim of this conference is to bring together researchers and practitioners from both academia and industry, and to stimulate the exchange of knowledge through intensive discussions on the cutting-edge research topics.

Topics-of-interest include, but are not limited to, sensing, algorithms, and applications (Factory automation and robotics, Intelligent Transport Systems, Human computer interaction, biomedical, multimedia, and life) concerning the image media.

Papers should be prepared in the designated format in four pages, and submitted electronically by the deadline.

Accepted papers will be presented in English either as an oral presentation or a poster presentation.
Note that at least one author of an accepted paper must present their work at the conference.
If you have a reason such as illness or difficulty traveling, we allow you to participate online as well.

Details can be found in the MVA2023 Web site or our twitter and facebook.
https://www.mva-org.jp/mva2023/
https://twitter.com/MVA_ORG/
https://www.facebook.com/Mva-org/

Important Dates:
– Full Paper (4 pages) Submission Deadline: March 31, 2023 → April 14, 2023 (23:59 PST) [extended]
– Notification of Acceptance: June 13, 2023
– Camera Ready Manuscript Deadline: July 4, 2023

And, we are pleased to announce MVA2023 IAPR Invited speakers and tutorial speakers.

IAPR Invited speakers:
– Dima DAMEN (Univ. of Bristol, UK)
– Chung-Chieh Jay KUO (Univ. of Southern California, USA)
– Kensaku MORI (Nagoya Univ., Japan)

Tutorial spearkers:
– Michael S. Ryoo
   (SUNY Empire Innovation Associate Professor, Stony Brook University, USA.
    Staff Research Scientist, Robotics at Google, USA)
– Shunsuke Saito
   (Research Scientist, Reality Labs Research (Pittsburgh), USA)

Contact:
MVA2023 Organizing Committee (mva2023-sec-AT-mva-org.jp)

General Chairs
– Kyoko Sudo (Toho University)
– Shunsuke Kudo (The University of Electro-Communications)

Program Chairs
– Ichiro Ide (Nagoya University)
– Wei-Ta Chu (National Cheng Kung University)

Callenge：
In conjunction with MVA2023, we host the Small Object Detection Challenge for Spotting Birds.
This challenge focuses on Small Object Detection (SOD) problem,
which is a hot topic in the Computer Vision community in recent years.
Please check the details here.
        https://www.mva-org.jp/mva2023/challenge

We look forward to your participation.

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