Final CFP – IEEE DSS 2023 (Data Science and Systems), Dec. 2023

September 12th, 2023 Daniela Lopez de Luise
       
The 9th IEEE International Conference on Data Science and Systems (DSS 2023), 13-15 Dec. 2023, Melbourne, Australia.
         
Website: http://www.swinflow.org/confs/2023/dss/
        
Key dates:
Submission Deadline:  September 15, 2023 (HST, Firm)  
Notification: October 15, 2023
Final Manuscript Due: October 30, 2023  
         
Submission site: http://www.swinflow.org/confs/2023/dss/submission.htm
        
Publication:

Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.
       
===========
Introduction
     
As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels such as smart devices, web, mobile and social media.
       
Data systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raised and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need. DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy.

Scope and Topics

I. Data Science
– Foundational Theories of Data Science
– Data Classification and Taxonomy
– Data Metrics and Metrology
– Data Analytics
– Complex Network Analysis and Mining
– Security, Privacy and Trust in Data

II. Data Processing Technology
– Data Representation and Processing
– Machine Learning and Deep Learning
– Graph Neural Networks
– Semi-supervised and Unsupervised Learning
– Statistical, Mathematical and Probabilistic Modeling and Theories
– Information visualization
– Data Visualization

III. Data Systems
– Storage and File Systems
– High Performance Access Toolkits
– Compiler and Runtime Support
– Real-time Data Intensive Systems
– Multi/Many-Core Platforms
– Big Data and Cloud Computing

IV. Data Applications
– Business and Finance Applications
– Industrial Data Applications
– Bioinformatics Applications
– Healthcare and Medical Services
– Applications in Soil and Water
– HPC Systems for Data Applications
– Future Data Applications  
       
Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one
of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2023/dss/submission.htm.

      
Publications
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.  
       
General Chairs
Jamal Deen, McMaster University, Canada           
Stephen S. Yau, Arizona State University, USA

Program Chairs
Dong Yuan, The University of Sydney, Australia
Deepak Puthal, Khalifa University, UAE

Read More »

IEEE Signal Processing Society Election – A message from Kostas Plataniotis

September 12th, 2023 Daniela Lopez de Luise


I am a candidate for IEEE Signal Processing Society (SPS) President-Elect this year.


I am writing to introduce myself and would like to encourage you to vote if you still need to do so.


I have been a long-time IEEE volunteer. I have served as SPS’s inaugural Vice President – Membership (2013-16); IEEE Signal Processing Letters. Editor-in-Chief (2009-11); General Co-Chair of GlobalSIP’17, ICIP’18 and ICASSP’21; IEEE Toronto Section Chair; IEEE EAB-Continuing Education Chair; J.S. Kilby Medal Committee Chair. 


I am a registered professional engineer, a Fellow of IEEE, the Canadian Academy of Engineering, and the Engineering Institute of Canada. I have been the Bell Canada Chair in Multimedia at the University of Toronto since 2014. I am currently the Chair of the Machine Intelligence Major at Engineering Science – University of Toronto. In 2016, I have co-founded Medical Cytometrixc Inc.


My campaign material can be found on the following links:


E: kostas.plataniotis@gmail.com

W: www.plataniotis.com

L: https://votekostas.my.canva.site/

 

I appreciate your support in the election and your help in encouraging your colleagues and graduate students who are IEEE SPS members to vote.


Online vote for IEEE SPS members is at: https://eballot4.votenet.com/IEEE. 

 

With kind regards,

Kostas Plataniotis

Read More »

The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP)

September 12th, 2023 Daniela Lopez de Luise

CALL FOR PAPERS


The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP 2023, https://mlesp2023.sciencesconf.org/) will be held in Istanbul, Turkey, from 5 to 8 December 2023, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023, https://ieeebibm.org/BIBM2023)


Overview

EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought impressive progress in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI, and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss recent advances.


The topics of interest include but are not limited to:

– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications


Important Dates

Oct. 10, 2023 (11:59 pm CST): Due date for full workshop papers submission
Nov. 5, 2023: Notification of paper acceptance to authors
Nov. 21, 2023: Camera-ready of accepted papers
Dec 5-8, 2023: Workshops

 

Paper Submission

– Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. You can download the format instruction here:
https://www.ieee.org/conferences/publishing/templates.html

– Electronic submissions in PDF format are required.

Online Submission

https://wi-lab.com/cyberchair/2023/bibm23/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2023/bibm23/scripts/ws_submit.php

Publication

All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.


Contact

Prof. Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr


Computer Vision and Machine Learning (CVML) email list  www page: https://lists.auth.gr/sympa/info/cvml

1) To post a message (in English) to CVML please: send an email to cvml@lists.auth.gr with subject: [Topic] Your_subject
[Topic] should be one of the following ones: [Jobs], [Conferences], [Journals], [Courses], [Studies], [News].
2) To subscribe (for free) to this Computer Vision and Machine Learning (CVML) email list and send/receive scientific messages/news, please:
send an empty email to sympa@lists.auth.gr with subject: subscribe cvml@lists.auth.gr  your_name
3) To unsubscribe any time, send an empty email to sympa@lists.auth.gr with subject: unsubscribe cvml@lists.auth.gr
4) If you have any questions related to CVML list please contact: koroniioanna@csd.auth.gr List moderation is supervised by Prof. I.Pitas (pitas@csd.auth.gr).

Read More »

Call for Papers for the Journal of Organizational and End User Computing (JOEUC)

September 11th, 2023 Daniela Lopez de Luise

IconDescription automatically generated

Hear From the Editors-in-Chief of the Journal of Organizational and End User Computing (JOEUC)

 

Editors-in-Chief: Dr. Sang-Bing Tsai and Wei Liu

 

“We expect that the open access model will provide wider knowledge sharing opportunities for the global academic community, with scholars freely accessing and reading open access publications regardless of their geographic location, economic conditions or institutional background, which will help to remove information barriers and facilitate global academic collaboration and knowledge flow.”

– Drs. Tsai and Liu

 

 

 

 

Publishing Tomorrow’s Research Today

Submit Your Manuscript to This Highly Cited Gold Open Access Journal

Published in a Timely, Quality, & Personalized Manner

 

This journal is currently seeking submissions in the following research areas, among other topics:

∙ OEUC Controls for Privacy and Security ∙ OEUC Hardware and Software ∙ OEUC in Healthcare ∙ OEUC Satisfaction ∙ OEUC Success Factors ∙ OEUC Usage ∙ Review Full List of Research Areas>

 

 

//ci2s-enterprise.com.ar/wp-content/uploads/2023/09/image003.pngimage005.png@01D9E487.E4D62E60“>

 

Web of Science Impact Factor:

6.5

Indexed In:

Web of Science SCIE, SSCI, INSPEC, SCOPUS, & 47+ additional indices

 

Published: Continuous Volume by

IGI Global, USA

Established: 1993

 

Your Manuscript

 

Review Some of the Most Recently Published JOEUC Articles (Free Full-Text Access):

 

 

A Text-Based Competition Network: The Perspective of Information Disclosure

By Profs. Wei Wang, Fengzhang Chen, et al.

 

The Enterprise's Willingness to Use Remote Monitoring Technology Under the Background of Green Operation and Service-Oriented Manufacturing

By Profs. Zhe Zhang and Jin Chen

 

The Signaling Mechanism of Fairness Concern in E-CLSC

By Profs. Yanhong Qin, Shaojie Wang, et al.

 

Your Manuscript

 

Browse More Published Open Access Content in JOEUC

 

 

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>

IGI Global Achieves Remarkable Open Access Transformation…

Read More>

 

 

Why Should You Publish Under IGI Global’s Open Access Journal Program?

 
  • Timely Publication: In the fast-paced research ecosystem, timeliness is crucial. At IGI Global, enjoy a quick turn-around, with the entire process from submission to final publication and distribution taking as little as 2–4 weeks. (Upon acceptance, your paper will be published and delivered to you within one week.)     
  • Personalized Editorial Support: Experience one-on-one editorial support throughout your entire open access publishing journey. Our team will collaborate with authors and the Editor-in-Chief to facilitate a seamless editorial process for your submission, ensuring that your final paper is effectively shared throughout your network.
  • Trusted by Scholars Worldwide: Join hundreds of thousands of scholars who trust IGI Global to publish their pioneering research findings in our collection of nearly 200 open access journals in Business & Management, STM (Science, Technical, and Medical), and Education.

 

 
  • Ethical Rigor & Quality Assurance: All open access submissions undergo a time-tested ethical rigor through peer review. If accepted for publication, your paper will receive meticulous line-by-line copy editing to ensure its highest quality (as a full member of COPE, we are obliged to uphold these standards).
  • Global Reach & Impact: Maximize Your Research Impact: Embrace the power of open access research and witness immediate delivery of your publication through major research discovery channels, including ResearchGate, ProQuest, EBSCO, and more. Open access ensures your work is freely shared, read, and cited by the global research community, significantly increasing your paper's potential reach and overall impact.
  • 35 Years of Publishing Experience: With a rich history of 35 years in independent publishing, IGI Global recently transitioned its journal collection to open access in accordance with funding mandates, such as PlanS, prevalent throughout Europe and many others globally. Throughout this transition, IGI Global maintains the same unwavering commitment to quality and ethical standards.

 

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 JOEUC by accessing its webpage here.

 

Alternatively, you can contact the editors-in-chief at sangbing@hotmail.com or IGI Global’s Open Access Team at openaccessadmin@igi-global.com with other any questions you might have.

 

 

 

 

Best Regards,

 

//ci2s-enterprise.com.ar/wp-content/uploads/2023/09/image003.pngimage001.png@01D9E487.944CCF80“>
A close-up of a white backgroundDescription automatically generated

Publisher of Peer-Reviewed, Timely, and Innovative Academic Research for Over 30 Years

701 East Chocolate Avenue, Hershey, Pennsylvania 17033-1240, USA

Tel: 717-533-8845 (ext. 123); Fax: 717-533-8661

E-Mail: khedgepeth@igi-global.com ;  www.igi-global.com;






Read More »

Live free ‘AIDA AI Excellence e-Lecture’ by Prof. Ioannis Pitas: “AI, Large Language Models and University Education”, September 12th, 2023 17.00 pm CEST

September 11th, 2023 Daniela Lopez de Luise

 

Professor Ioannis Pitas will deliver the e-lecture: “AI, Large Language Models and University Education” on September 12th, 2023 17.00 pm CEST.

He is IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, Chair of the International AI Doctoral Academy (AIDA), and Director of the Artificial Intelligence and Information Analysis (AIIA) Lab,

Of the Aristotle University of Thessaloniki, Greece.

 

See details in: https://www.i-aida.org/events/ai-large-language-models-and-university-education/

Location: The seminar will be delivered online via zoom:

Meeting ID: 952 8930 4527
Passcode: 285410

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, is very pleased to offer you top quality scientific lectures 

in the framework of AIDA AI Excellence Lecture Series  on several current hot AI topics. Lectures will be offered alternatingly by:

  • Top highly-cited senior AI scientists internationally or
  • Young AI scientists with promise of excellence (AI sprint lectures)

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

Best regards

Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, , J. Stefanowski

AIDA AI Excellence Lecture Series committee members


Read More »
« Older Entries
Newer Entries »
Design by 2b Consult