On behalf of the organizers, I hereby send the call for submissions of full papers or abstracts.
With best regards, Kaisa Miettinen
Livestream Seminars in May
April 30th, 2024 
Daniela Lopez de Luise -
Advanced Learning with R, taught by Ross Jacobucci, May 1-2, will provide you with the core knowledge needed to apply and evaluate advanced machine learning algorithms.
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Applied Deep Learning with Python, taught by Ross Jacobucci, May 8-9, focuses on applying deep learning algorithms to text and image data, along with insight into how deep learning methodologies can shape the design of studies. For a $200 total discount when registering for both of Dr. Jacobucci's seminars, please email us.
- Design and Analysis of Simulation Studies, taught by Ashley Naimi, May 20-23, is a practical introduction to Monte Carlo simulation studies. Through theory and hands-on practice, you'll deepen your statistical intuition and gain the skills necessary to plan, conduct, and interpret simulation studies.
- Ordinal Regression, taught by Frank Harrell, May 29, will discuss the most popular types of ordinal regression models, the proportional odds model and the proportional hazards model. This seminar is part of the Distinguished Speaker Series, a series of 3-hour virtual seminars taught by some of the most prominent and innovative scholars in the field.
Please share this information with anyone who may be interested. Email ashley@statisticalhorizons.com with any questions.
Thanks,
Ashley
Free Webinar: The Potential of AIoD for Innovators & Researchers, 30 Apr 2024
April 30th, 2024 Daniela Lopez de Luise 📢🔴 WEBINAR: The Potential of the AIoD Platform for Academic & Industry Innovators & Researchers
🚀 The AI-on-Demand (AIoD) Platform is a community-driven platform for all EU AI innovators, researchers, industries, enthusiasts and beyond. The work is in progress, and initial updates may benefit the EU AI communities.
💥 Please JOIN us to learn what's latest with the platform and how you can access and use the 420K datasets and 15K Machine Learning Models.
💚 We will have experts from the Research and Innovation AI Lab (RAIL) walk you through engaging with those valuable resources. You can also learn
about the needs of SMEs. Let’s also discuss opportunities for YOU to be a part
of the conversation and improvement of the EU Platform for all EU AI
development and innovation ecosystems.
🤝Attend our first seminar of a series next week and grab the opportunity to be a part of the conversation & prospect of building the AI Platform for all in the EU:
🎥 Apr 30, 2024, 9:30 AM CEST or 08:30 AM Dublin
✅Reg NOW👇
https://us02web.zoom.us/webinar/register/WN_OmFdPopVT1O5LlSdHOhRlg
Best regards
Efi Patmanidou
AIDA Support Committee Chair
ICIP 2024: Introducing the 12 Workshops – Including the Big Visual Data Analytics (BVDA) Workshop, 27-30 October 2024, Abu Dhabi, UAE
April 30th, 2024 Daniela Lopez de Luise Dear researchers and practitioners of big visual data analytics,
We are pleased to announce one of the twelve ICIP 2024 Workshops, the Big Visual Data Analytics (BVDA) Workshop, scheduled to take place from 27 to 30 October 2024, in Abu Dhabi, UAE. The BVDA Workshop aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets.
All accepted contributions will be published in IEEE Xplore. The paper submission deadline is May 9, 2024.
For further details and submission instructions, please visit: https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/
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Organizers of BVDA Workshop
Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,
Aristotle University of Thessaloniki, Greece.
Prof. Massimo Villari: University of Messina, Italy.
Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens.
DDP 2024
April 30th, 2024 Daniela Lopez de Luise Fourth International Conference on Digital Data Processing (DDP 2024)
Yeshiva University. New York. US
September 30-October 01, 2024
(www.socio.org.uk/ddp)
(IEEE approval pending)
As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processing needs. Many studies focus on developing models and systems for analyzing large datasets.
Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention.
The proposed conference will discuss topics not limited to
Data applications in various domains and activities
Data in cloud
Real-world data processing
Data inaccuracy and reliability issues
Data Ecosystem
Business Analytics
New data analytics techniques
Physical and management challenges
Synthetic data
Data synthesis
Crowdsourcing and Sensing
Data modelling
Deep learning techniques
Data fusion
Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics
Machine learning impact on data processing
Network optimization
Data in Biomedical Engineering
Data in Materials science and mechanics
Data handling and applications in domains
Wireless Networking Data Management
Data of Electronic & Embedded Systems
Multi-media Systems Data
Artificial Intelligence Models and Systems Data
E-Computing Data
Renewable Energies Data
General Chair
Honggang Wang, Yeshiva University, USA
Program Chairs
Youshan Zhang, Yeshiva University, USA
Ezendu Ariwa, Warwick University, UK
Simon Fong, University of Macau, Macau
Program Co-chairs
Martin Loperz, University of Vigo, Spain
Keynote Speakers
1. Xiaofan (Fred) Jiang, Columbia University
2. Edwin Chihchuan Kan, Cornell University
Publications
Modified versions of the papers will appear in the following journals.
Journal of Digital Information Management
International Journal of Computational Linguistics
International Journal of Distributed Systems and Technologies
Important Dates
Submission of Workshop Proposals: April 10, 2024
Submission of Papers: June 15, 2024
Notification of Acceptance/Rejection: July 20, 2024
Camera-ready: September 01, 2024
Registration: September 01, 2024
Conference Dates: September 30- October 01, 2024
Paper submission
Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/
Contact: stm@socio.org.uk