New Book: Explainable Artificial Intelligence for Smart Cities (CRC Press)
July 27th, 2021
Daniela Lopez de Luise Trusted Media Challenge launched
July 27th, 2021
Daniela Lopez de Luise Media Challenge. It provides a dataset and platform for the best AI
models from around the world to compete in the detection of fake media
content. The challenge proper will run until 15 December 2021. Up to SGD
700,000 (about USD 1/2 million) in prize monies will be distributed to
the winners of the competition. Please see
https://trustedmedia.aisingapore.org/ for more details and registration
to participate.
Best regards,
Stefan Winkler
AI Singapore
DDP 2021 – IEEE
July 27th, 2021
Daniela Lopez de Luise Marrakesh, Morocco
November 11-13, 2021
www.socio.org.uk/ddp
(IEEE CPS. Papers should follow IEEE template)
Data grows voluminously and exponentially with heterogeneity and
complexity. A single organization or industry processes more than few
million transactions hourly and stores several petabytes of data. We
live in a world of tremendous pressure to analyze and process data more
efficiently where the
Data analytics are able to reflect hidden patterns, incomprehensible
relationships, intrinsic information relations, and segmentation. The
data applications have introduced cutting-edge possibilities in every
activity in our life. Thus, the study of data and its underlying
structure, dynamics of data relations, and newer data technologies are a
never-ending process. The literature and research on data management are
enormous, still, they sufficiently do not solve the data processing
requirements.
Currently, the use of technology and interrelations among information
pieces generate gargantuan amounts of data. Many studies tend to develop
models and systems to analyse the voluminous datasets. Analysing the
impact of data leads to application domains on various decisions that
have a systematic influence. Knowledge generated from the data analysis
can enable the production of critical information for several domains.
Hence this conference reviews and discusses, the recent trends,
opportunities, and pitfalls of data management and how it has impacted
organizations to create successful business and technology strategies
and remain updated in data technology. This conference also highlights
the current open research directions of data analytics that requires
further consideration/
The proposed conference will discuss the 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
Privacy and Security
Crowdsourcing and Sensing
Data modeling
Deep learning techniques
Data fusion
Descriptive analytic, Diagnostic analytics, Predictive Analytics, and
Prescriptive analytics
Machine learning
Network optimization
Publications
DDP is technically supported by IEEE CPS. The DDP papers will be
submitted for publication and indexing in IEEE Xplore. Besides, modified
versions of the papers will appear in the following journals.
1. Journal on Data Semantics
2. Technologies
3. Data Technologies and Applications
4. Webology
5. Journal of Digital Information Management
6. International Journal of Computational Linguistics
7. Journal of Optimization
8. International Journal of Distributed Systems and Technologies
Important Dates
ull Paper Submission: August 25, 2021
Notification of Acceptance/Rejection: September 25, 2021
Registration Due: October 15, 2021
Camera Ready Due: October 15, 2021
Workshops/Tutorials/Demos: November 12, 2021
Main conference November: 11-13 , 2021
Keynote Speakers
Eleni (Helen) Karatza, Aristotle University of Thessaloniki, Greece
Maria Fasli, University of Essex, UK
Program Committee
Honorary Chairs
Ahmed MOUSSA, Director of National School of Applied Sciences, Tangier,
Morocco
Bouchta El Moumni, vice-President of Abdelmalek Essaâdi University,
Tetouan, Morocco
Mohamed Addou, Dean of the faculty of sciences and techniques, Tangier,
Morocco
Program Chairs
Aziz El Janati El Idrissi, Ministre d’éducation et d’enseignement
supérieur Mohamed V University. Rabat, Rabat-Salé-Zemmour Zaër, Morocco
Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua,
Portugal
Ahmed Moussa, Director of National School of Applied Sciences, Tangier,
Morocco
Simon Fong, University of Macau, Macau
Program Co-Chairs
Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico
Dion Goh, Nanyang Technological University, Singapore
Publicity Chair
Mohsin Beniysa, Abdelmalek Essaâdi University, Morocco
Paper Submission: http://socio.org.uk/ddp/paper-submission/
Contact: ddp@socio.org.uk
CDpath workshop at ICCV 2021 :: submisison deadline extended to July 28, 23:59 PST
July 27th, 2021
Daniela Lopez de Luise ******************************************************************************************
PAPER SUBMISSION DEADLINE EXTENDED TO JULY 28, 2021 (23:59 PST)
About the Workshop
The ICCV 2021 workshop on Computational Challenges in Digital Pathology (CDpath) aims at providing a platform for scientific discussion and presentation of ideas on computational pathology, introducing the challenges of the field. This workshop will focus on the integration of computer vision and artificial intelligence into the digital pathology workflow.
For more information please visit http://vcmi.inesctec.pt/cdpath_iccv
Important Dates
Submission deadline:
Camera-ready deadline: August 16, 2021
CDpath workshop: October 11, 2021
Submitted manuscripts should be anonymised and formatted according to the ICCV style, with a maximum of 8 pages, including images and tables and excluding cited references.
Accepted papers will be published in IEEE Xplore, in conjunction with ICCV 2021 proceedings. And we are also preparing a special issue for extended versions.
Keynote Speakers
Anne Martel, Sunnybrook Research Institute | University of Toronto | Pathcore Inc., Canada
Martin Stumpe, Tempus Inc., USA
Interest Topics
The CDpath workshop welcomes works that focus on the computational pathology challenges, such as, but not limited to:
- Semi/unsupervised learning methodologies in computational pathology
- Detection, classification and segmentation of tissue structures
- Disease diagnosis, grading and prognosis
- Treatment response prediction
- Immunohistochemistry scoring
- Staining quality assessment and standardization
- Detection of tissue biomarkers with predictive/prognostic value
- Whole-slide image registration
- Explainable AI for computational pathology
- Scalable techniques for whole-slide image processing
- Applications for computational pathology in the clinic
Jaime S. Cardoso (jaime.cardoso@inesctec.pt) || Sara P. Oliveira (sara.i.oliveira@inesctec.pt)
MICCAI 2021 Sixth Educational Challenge — deadline July 26
July 27th, 2021
Daniela Lopez de Luise Dear All,
The MICCAI Educational Challenge will be held for the sixth time, leading up to and concluding at MICCAI 2021 in Strasbourg, France. The goal of the challenge is to encourage members of the MICCAI community to create and share educational materials, covering fundamental concepts in medical image computing and computer-assisted interventions. The first prize winner of the MICCAI Educational Challenge will receive a prize of $500, sponsored by the MICCAI society, and an interview with a well-known professor published on YouTube to promote their research. Pending sufficient submissions, a second and third place prize will also be awarded. The winner(s) will be decided by popular vote and announced at MICCAI 2021. Tutorials may be formatted as videos, papers, presentations, IPython Notebooks, GitHub sources and documentation, or blog posts.
For more details please visit our website: https://miccai-sb.github.io/challenge.html
Frequently Asked Questions (FAQ)
-
What is the deadline? July 26, 2021
-
What formats are acceptable? You can submit text or video tutorials in any easily accessible format (i.e. jupyter notebook, website, docx/pptx, pdf, mp4, blog, etc…).
-
Do I have to have a paper submitted to MICCAI to submit to the MICCAI Educational Challenge? No, everyone is welcome and encouraged to submit to the MEC.
-
Does the submission have to be anonymized? This is optional and helpful to the organizers, but not required.
-
Do I have to be a student to submit? No, submissions are welcome from all, regardless of experience level. We only suggest that you write your submissions at a level that could be understood by a grad student trying to learn more about your topic.
Important dates
-
Submission deadline: July 26, 2021
-
Announcement of the winner: MICCAI awards ceremony.
All submissions will be made publicly available shortly following MICCAI 2021.
Questions?
Please direct any questions to miccai-student-board@csail.mit.edu.



