Call for Papers for the International Journal of Computer Vision and Image Processing (IJCVIP)

June 11th, 2023 Daniela Lopez de Luise

CALL FOR SUBMISSIONS

International Journal of Computer Vision and Image Processing (IJCVIP)

– Gold Open Access Journal –

 

Editor-in-Chief:

Dr. Dariusz Jacek Jakóbczak

 

Published: Continuous Volume by IGI Global, USA

Established: 2011

ISSN: 2155-6997|EISSN: 2155-6989|DOI: 10.4018/IJCVIP

 

Your Manuscript

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Papers are published under Creative Commons licensing and are freely accessible worldwide; therefore, there is an APC required to cover publishing costs (which replaces revenue generated from traditional subscriptions). Learn more about APCs, creative commons licensing, and funding resources.

 

 

 

Important Educational Resources About Open Access Publishing:

 

Exposing Common Misconceptions About Open Access Publishing

Read More>

Article Processing Charges:

What They Are and Why They Exist Read More>

Hear Perspectives About OA Publishing From Researchers Around the World Read More>

 

IJCVIP provides the latest industry findings useful to academicians, researchers, and practitioners regarding the latest developments in the areas of science and technology of machines, imaging, and their related applications, systems, and tools. This journal contains unique articles of original, innovative research in computer science, education, security, government, engineering disciplines, software industry, vehicle industry, medical industry, and other fields. Learn more here.

 

Currently Seeking Submissions in the Following Research Areas, Among Other Topics Covered

by This Journal: 

 

 

 


Your Manuscript

 

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Benefits of Open Access:

 

Higher Usage: Open access papers are 2-3 times more likely to be read than non-open access papers.

 

Higher Download Rates: Open access papers benefit from 89% higher download rates than non-open access papers.

 

Higher Citation Rates: Open access papers are 47% more likely to be cited than non-open access papers.

 

 

Why Should You Publish Open Access With IGI Global?
  • 175+ Highly Indexed Journals to Choose From (including IJCVIP)
  • Easily Track Your Work in IGI Global’s Advanced Manuscript Submission System with Rapid Turnaround Times
  • Double-Blind Peer Review by Notable Editorial Boards (Committee on Publication Ethics (COPE) Certified)
  • Publications Adhere to All Current OA Mandates & Compliances
  • Affordable APCs (Often 50% Lower Than the Industry Average) Including Robust Editorial Service Provisions
  • Direct Connections With Prominent Research Funders & OA Regulatory Groups
  • Institution Level OA Agreements Available (Recommend or Contact Your Librarian for Details)
  • Join a Diverse Community of 200,000+ Researchers Worldwide Publishing With IGI Global
  • Content Spread Widely to Leading Repositories (ResearchGate, CORE, AGOSR, & More)

 

 

We welcome you to share this call for papers with your colleagues and professional networks that would find this of interest. You can also find additional information about IJCVIP by accessing its webpage here.

 

If you would like more information on the scope of the journal, open access processing charges, or funding resources, please reply to this email. Additionally, if you are interested in submitting a paper for consideration to this journal, please let us know and we can be in touch with next steps.

 

Alternatively, you can contact the editor-in-chief at dariusz.jakobczak@tu.koszalin.pl or IGI Global’s Open Access Team at openaccessadmin@igi-global.com with other any questions you might have.

 

Looking to Amplify the Impact of Your Recently Published IGI Global Research?
Retrospective Open Access Is Here to Help!

 

Access and convert your previously published work through your Personal Library. For a limited time, IGI Global is offering a 20% discount on all Retrospective Open Access conversions through June 30th, 2023.

 

Kindest,

Marissa Massare

Open Access Publishing Coordinator

 

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IGI Global is committed to the highest quality standards as a full member of the Committee on Publication Ethics (COPE)

www.igi-global.com

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Uncertainty Quantification for Computer Vision Workshop & Challenge at ICCV 2023 (2nd Edition)

June 11th, 2023 Daniela Lopez de Luise

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Call for Papers

“Uncertainty Quantification for Computer Vision” Workshop & Challenge at ICCV 2023 (2nd Edition)

https://uncv2023.github.io/

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Submission Deadline July 18th AOE


Two types of paper are welcome:

– Regular Papers –

(novel contributions not published previously)

– Extended Abstracts –

(novel contributions or papers that have been already accepted for publication previously)

Read More »

Uncertainty Quantification for Computer Vision Workshop & Challenge at ICCV 2023 (2nd Edition)

June 8th, 2023 Daniela Lopez de Luise

Call for Papers

“Uncertainty Quantification for Computer Vision” Workshop & Challenge at ICCV 2023 (2nd Edition)

https://uncv2023.github.io/

******************************** 

Submission Deadline July 18th AOE


Two types of paper are welcome:

– Regular Papers –

(novel contributions not published previously)

– Extended Abstracts –

(novel contributions or papers that have been already accepted for publication previously)

Read More »

Call for Papers & Talks | ContinualAI Unconference 2023

June 8th, 2023 Daniela Lopez de Luise

 

We are pleased to announce the Call for Papers (to be published in PMLR) and Call for Talks for the upcoming ContinualAI Unconference (CLAI Unconf). Organized by the non-profit research organization, ContinualAI, the conference seeks to accelerate inclusive and sustainable progress in our academic community through a unique, open-access, multi-timezone, 24-hour event which will be free to attend. The event will connect ideas beyond static datasets at the crossroads of machine learning, computational neuroscience, robotics, and more. Stay up to date by visiting our webpage: https://unconf.continualai.org 

 

Please note the following important dates:

– Virtual Conference Date: October 19, 2023

– Call for Papers Deadline: July 21, 2023

– Call for Talks Deadline: August 18, 2023

 

Different from traditional conferences, CLAI Unconf allows you to

1) Preregister your ideas with accepted papers published in PMLR Call for Papers)

2) Share an idea with the experts in the field with a 5 to 15 minute talk (Call for Talks)

 

We are currently inviting original contributions that delve into the dynamic aspects of AI, straying from the static train-test paradigm prevalent in much of the current AI research. The conference themes include, but are not limited to:

  • Navigating complex data collection systems
  • Understanding and describing continuous streams of data
  • Lifelong learning processes and generalization of knowledge beyond a specific target
  • Discovering new concepts in changing environments and handling partially observable information from potentially disparate data sources
  • Interdisciplinary perspectives on related topics
  • A more detailed account of the conference themes is available in our Call for Papers.

 

CLAI Unconf offers a unique experience with features such as:

  • Free for everyone
  • Easy accessibility through virtual, multi-timezone support
  • Contributed talks and pre-registration articles
  • Active roundtables encouraging participant interaction and discussions
  • Hands-on sessions promoting collaborative work and creativity
  • Mentoring Sessions

 

In addition, we offer an exciting pre-registration submission process to ensure scientific excellence (a more detailed account of pre-registration is provided in our Call for Papers). Researchers are invited to present well-articulated ideas and thoroughly outlined experimental protocols. These ideas will be evaluated and discussed during the conference, with follow-up findings published in CLAI Unconf's Proceedings of Machine Learning Research (PMLR).

 

We believe this conference provides a unique opportunity to exchange ideas and explore new concepts in the field of Artificial Intelligence. We look forward to receiving your submissions and meeting you at the un-conference! Please feel free to forward this advertisement along to your network.

 

Best regards,

 

James Seale Smith

Outreach Chair

ContinualAI Unconference Organizing Committee

 

 

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

June 8th, 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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