19th IEEE eScience Conference (eScience 2023): Third Call for Papers

March 9th, 2023 Daniela Lopez de Luise

19th IEEE eScience Conference (eScience 2023)

October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus

eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of
eScience applications and enabling IT technologies. Its objective is to promote and encourage
all aspects of eScience and its associated technologies, applications, algorithms, and tools,
with a strong focus on practical solutions and open challenges. The conference welcomes
conceptualization, implementation, and experience contributions enabling and driving
innovation in data- and compute-intensive research across all disciplines, from the physical
and biological sciences to the social sciences, arts, and humanities; encompassing artificial
intelligence and machine learning methods; and targeting a broad spectrum of architectures,
including HPC, Cloud, and IoT.

The overarching theme of the eScience 2023 conference is “open eScience”. This year, the
conference is promoting four additional key topics:
• Computational Science for sustainable development
• FAIR
• Research Infrastructures for eScience
• Continuum Computing: Convergence between Cloud Computing and the Internet of Things
(IoT)

The conference is soliciting two types of contributions:
• Full papers (10 pages) presenting previously unpublished research achievements or
eScience experiences and solutions
• Posters (2 pages) showcasing early-stage results and innovations

Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text
using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from

Submissions should be made via the Easy Chair system using the submission link:

All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for
an oral presentation. Accepted posters will be presented during a poster reception. Accepted
full papers and poster papers will be published in the conference proceedings. Rejected full
papers can be re-submitted for a poster presentation. At least one author of each accepted
paper or poster must register as an author at the full registration rate. Each author registration
can be applied to only one accepted submission.
AWARDS

eScience 2023 will host the following awards, which will be announced at the conference.
• Best Paper Award
• Best Student Paper Award
• Best Poster Award
• Best Student Poster Award
• Outstanding Early Career Contribution – this award is associated with poster submissions
and short presentations of attendees in their early career phase (i.e., postdoctoral researchers
and junior scientists).
KEY DATES

• Paper Submissions Due: Friday, May 26, 2023 (AoE)
• Notification of Paper Acceptance: Friday, June 30, 2023
• Poster Submissions due: Friday, July 7, 2023 (AoE)
• Poster Acceptance Notification: Monday, July 24, 2023
• All Camera-ready Submissions due: Monday, August 14, 2023
• Author Registration Deadline: Monday, August 14, 2023
ORGANISATION

General Chair
• George Angelos Papadopoulos, University of Cyprus, Cyprus

Technical Program Co-Chairs
• Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
• Rosa Filgueira, University of St Andrews, UK

Organisation Committee

Steering Committee

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Master critical processes, tools, and concepts in data analytics online

March 9th, 2023 Daniela Lopez de Luise

%%first_name%% – Develop the analytical expertise to derive actionable insights by enrolling in an Analytics programme by NUS School of Computing
Emeritus
Analytics: From Data to Insights
Why should you enrol to this programme?
The importance of data cannot be overstated when it comes to business success. Not only does data enable companies to understand the current state of the business and its many processes, but it also provides a solid foundation to identify opportunities and predict future outcomes. But collecting data isn't enough. It must be visualised, filtered and broken down into actionable insights by the right data tool for the job.
Programme Details
Starts on
STARTS ON
15 March 2023
Duration
DURATION
5 Months,
6-8 hours per week
Format
FORMAT
Online
Programme Fees
PROGRAMME FEES
USD 1,800
DOWNLOAD BROCHURE
Analytics: From Data to Insights, an online programme offered by NUS School of Computing, is designed to give you the hands-on experience you need to master analytics and make better business decisions-no prior coding experience required.

Through video lectures led by NUS School of Computing faculty, you will learn to:

● Master critical processes, tools and concepts in analytics
● Apply appropriate SQL queries to retrieve information and answer real-world questions
● Prepare data for creating data models and use analytical expressions to create calculations and measures
● Employ analytical expressions to perform time-based analyses and visualise data
● Create Decision Tree models to find patterns and make predictions from data
● Develop interactive visualisation reports and dashboards
LEARN MORE
Faculty
AI XIN
AI XIN
PhD in Electrical and Computer Engineering
Is This Programme Right for Me?
Analytics: From Data to Insights programme is designed for analysts, engineers, professionals and managers with up to 15 years of experience. Both professionals with a tech or non-tech background can benefit from the programme.

The programme is applicable across major industries, including IT Services, Financial Services, BFSI, Management, Consulting, and across all functions.

This programme is beneficial for professionals aspiring to:

● Understand how to solve business problems with analytical skills in real-world scenarios
● Develop skills to use large data sets to derive insights for making critical decisions
LEARN MORE
Flexible payment options starting from USD 756 available now.
APPLY NOW
Regards,


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CVIP 2023 @ IIT Jammu India

March 9th, 2023 Daniela Lopez de Luise

Dear Professor,

The 8th International Conference on Computer Vision & Image Processing (CVIP 2023),  a premier annual conference focused on Computer Vision and Image Processing will be held during November 03-05, 2023 at Indian Institute of Technology Jammu (IIT Jammu), India. The conference proceedings will be published in Springer Series on Communications in Computer and Information Science (CCIS) Springer.

Prospective authors are invited to submit full-length original research papers as per CVIP-2023 submission guidelines using Microsoft Research paper submission portal CMT ( submission link  ) in the following tracks.

  • Biometrics, Forensics, Content Protection
  • Medical Image Analysis
  • 3D Image/ Video Processing
  • Image Enhancement /Super Resolution / Restoration
  • Image/ Video Processing for Autonomous Vehicles
  • Activity Detection/ Recognition
  • Segmentation and Shape Representation
  • Human Computer Interaction
  • Computational Imaging
  • Visual Sensor Hardware
  • Document Image Analysis
  • Motion and Tracking
  • Image/ Video Scene Understanding
  • Image/ Video Retrieval
  • Image/ Video Security
  • Vision based Human GAIT Analysis
  • Document and Synthetic Visual Processing
  • Remote Sensing, Hyperspectral Image Processing
  • Datasets and Evaluation
  • Compressed Image/ Video Analytics
  • Face, Iris, Emotion, Sign Language and Gesture Recognition

Important Dates:


Conference Dates:  November 3-5, 2023

First Round Submission:  

  • Submission Deadline: May 1, 2023
  • Notification of Acceptance: June 15, 2023

Second Round Submission:

  • Submission Deadline: July 1, 2023
  • Notification of Acceptance: September 1, 2023

Registration and Camera Ready:

  • Camera Ready Submission Deadline: September 15, 2023
  • Early Bird Registration: September 15, 2023
  • Late Registration Deadline:  September 30, 2023

It is highly appreciated if you kindly encourage your colleagues and research scholars to share their research findings at CVIP-2023.

Best paper awards will be given as in the previous editions. We look forward to your paper submission to CVIP-2023.


For more information the conference website: https://iitjammu.ac.in/cvip2023/

Thanks and Regards
On behalf of Organizing Team, CVIP-2023
IIT Jammu, India
pdf icon CFP_CVIP2023.pdf
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The many aspects of machine learning explainability in medical imaging @ CIBB 2023

March 9th, 2023 Daniela Lopez de Luise
Dear colleagues,

It is our pleasure to announce the special session “The many aspects of machine learning
explainability in medical imaging” at the 18th International Conference on Computational
Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2023).
– Conference dates: 6-8 September 2022
– Location: Padova (Italy)
– Submission format: short paper (4-6 pages)
– Deadline: 30 April 2023

Submitted contributions will undergo peer review before acceptance. All accepted
contributions will be presented in plenary oral sessions and special sessions.
The authors of all the accepted short papers presented at the conference will be invited to
submit an extended version of their manuscripts to the conference proceedings book
in Springer Lecture Notes in Bioinformatics (LNBI), or to a supplement in a journal such
as BMC Bioinformatics or BMC Medical Informatics and Decision Making.
You are invited to submit a short paper (4-6 pages) describing their original contributions in
the fields of medical imaging, focusing on explainable machine learning, visual analytics for
explainable machine learning, interpretable features, decision-making support in
healthcare, and explainable predictive models.
Please find the call for papers and all the submission details on the conference website

We look forward to seeing you at the conference!
Best regards,

The Special Session Organizers

Salvatore Calderaro, Carmelo Militello, Francesco Prinzi, Filippo Vella
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CVPR 2023 Workshop on Computer Vision for Fashion, Art, and Design : Call for Submissions

March 9th, 2023 Daniela Lopez de Luise

6th Workshop on Computer Vision for Fashion, Art, and Design at CVPR 2023

June 18, 2023


Creative domains, such as fashion, art and design, are a significant part of modern society, and much effort centers around the creation, consumption and analytics of creative visual content. In recent years, there has been an explosion of research in applying machine learning and computer vision algorithms to various aspects of the creative domains, including generating, analyzing and processing visual content.

The Computer Vision for Fashion, Art, and Design (CVFAD) workshop, in its 6th edition, aims to build on the success of the previous versions, and on the increased interest witnessed over time, to create a space for collaboration between artists, professionals in creative industries and computer vision scientists.

Call for submissions

The workshop will provide five keynotes with diverse backgrounds to encourage interdisciplinary discussions and idea sharing, as well as a paper track.

For the paper track, we solicit papers on developing and applying computer vision techniques that are valuable in the creative domains, with an emphasis on fashion, art, and design. These submissions will undergo a peer-review process. To provide rich opportunities to share opinions and experience in such an emerging field, we will accept paper submissions on established and novel ideas, as well as workshop challenges. Topics of papers include but are not limited to:

  • Style and product recommendation

  • Cross-domain visual search for fashion

  • Visual size and fit advice

  • Virtual try-on/wardrobe

  • Body Shape Prediction

  • Automatic article tagging

  • Trend analysis and forecasting

  • Efficient methods for fashion search

  • Fashion analysis in videos

  • Design with humans in the loop

  • Creative Visual Content Generation

  • Clothing landmark estimation

  • Style propagation modeling

Accepted papers will be part of the workshop proceedings and be displayed on our website. The top papers will also be invited to present orally during the workshop. Submitted papers should follow the CVPR 2023 paper template. 

The page limit is less than four pages, excluding references. Submitted work can be shorter versions (extended abstract) of work presented at the main conference or work in progress which may (or may not) be submitted to a different conference at a later date. The accepted papers will be linked at the workshop webpage. Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system at
https://cmt3.research.microsoft.com/CVFAD2023/

Authors can choose to include their paper as part of the CVPR Workshop Proceedings if the paper is not the shorter version of an accepted work in the CVPR 2023 proceedings. Papers which exceed the page limit (four pages excluding references) will result in rejection.

Important Dates:

  • Paper submission deadline: March 13th (11:59PM PST)

  • Notification to authors: March 31st (11:59PM PST)

  • Camera-ready deadline: April 8th (11:59PM PST)



We look forward to your participation,
CVFAD 2023 Organizers

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