Electronic Imaging Symposium LIVE SOON—There’s Still Time to Register!

January 19th, 2022 Daniela Lopez de Luise

It's time to plan your Electronic Imaging Symposium (EI 2022) experience—the Symposium kicks off Monday, JAN 17!

 

First, check out the program to view the entire week in 4 time zones. https://bit.ly/EI2022

 

Then, get ready to connect with colleagues and presenters in real-time throughout the Symposium via Gather.town.

 

Finally, this weekend, enjoy three screenings of the Annual SD&A 3D Theater starting JAN 15—it's free and open for public viewing. https://bit.ly/2022_3Dtheater

 

Electronic Imaging Symposium 2022 (EI 2022)

17-20 and 24-26 January

https://bit.ly/EI2022

 

PLENARY TALKS AND SPEAKERS: https://bit.ly/EI2022_Plenaries

 

CONFERENCE KEYNOTES AND PROGRAMS: https://bit.ly/EI2022_Conferences

 

SHORT COURSES: https://bit.ly/EI2022_Courses

 

Roberta Morehouse, CMP
Communications and Marketing Manager
Society for Imaging Science and Technology (IS&T)
—imaging across applications— imaging.org 

IS&T is a non-profit organization dedicated to advancing science and technology in the field of imaging. Connect with us on LinkedIn and Twitter @ImagingOrg

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Special Session on “Data Perspectivism in Ground Truthing and Artificial Intelligence” – IPMU 2022

January 19th, 2022 Daniela Lopez de Luise
CALL FOR PAPERS
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IPMU 2022 –
Information Processing and Management of Uncertainty in Knowledge-Based Systems /
July 11-15, 2022 – Milan, Italy
https://ipmu2022.disco.unimib.it/
Special Session on “Data Perspectivism in Ground Truthing and Artificial Intelligence”
S3 – https://ipmu2022.disco.unimib.it/special-sessions/
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 Description, scope and aims

Many Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data. The annotation process (often called
ground-truthing) is often performed in terms of a majority vote and this has been proved to be often problematic, as highlighted by recent studies on the evaluation of ML models. Recently, a different paradigm for ground-truthing has started to emerge, called data perspectivism [1], which moves away from traditional majority aggregated datasets, towards the adoption of methods that integrate different opinions and perspectives within the knowledge representation, training, and evaluation steps of ML processes, by adopting a non-aggregation policy. This alternative paradigm obviously implies a radical change in how we develop and evaluate ML systems: such ML systems have to take into account multiple, uncertain, and potentially mutually conflicting views [2]. This obviously brings both opportunities and difficulties: novel models or training techniques may need to be designed, and the validation phase may become more complex. Nonetheless, initial works have shown that data perspectivism can lead to better performances [3,4], and could also have important implications in terms of human-in-the-loop and interpretable AI, as well as in regard to the ethical issues or concerns related to the use of AI systems [5]. Data perspectivism is a framework to treat uncertainty (the main theme of IPMU) at the level of knowledge modeling and its integration in the development and evaluation of systems.

The scope of this special session is to attract contributions related to the management of subjective, uncertain, multi-perspective, or otherwise non-aggregated data in ground-truthing, machine learning, and more generally artificial intelligence systems.
Invited contributions: full research papers and research in progress papers.

Topics of interest:

    Subjective, uncertain, or conflicting information in annotation and crowdsourcing processes;
    Limits and problems with standard data annotation and aggregation processes;
    Theoretical studies on the problem of learning from multi-rater and non-aggregated data;
    Participation mechanisms/incentives/gamification for rater engagement and crowdsourcing;
    Ethical and legal concerns related to annotation and aggregation processes in ground-truthing;
    Creation and documentation of multi-rater and non-aggregated datasets and benchmarks;
    Development of ML algorithms for multi-rater and non-aggregated data;
    Development of techniques to detect and manage multiple forms of uncertainty in multi-rater and non-aggregated data;
    Techniques for the evaluation of ML systems based on multi-rater and non-aggregated data;
    Applications of data perspectivism and non-aggregated data to interpretable, human-in-the-loop AI and algorithmic fairness;
    Experimental and application studies of ML/AI systems on multi-rater and non-aggregated data, in possibly different application domains (e.g. NLP, medicine,legal studies, etc.)

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Important dates

Paper Submission deadline: Friday, 14 January 2022 Friday, 18 February 2022 (STRICT)

Notification of acceptance: April 1st, 2022

Camera ready due: April, 22nd, 2022
IPMU Conference: July 11th -15th, 2022

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Author Guidelines:

Please refer to the IPMU 2022 page where guidelines and templates are available, in the main conference Web site (https://ipmu2022.disco.unimib.it/submission/).
All submissions accepted for presentation at IPMU 2022 will be published in the Communications in Computer and Information Science (CCIS) series, by Springer.            

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IPMU 2022 S3 Special Session Co-Chairs:

Andrea Campagner (University of Milano-Bicocca, Italy),
Teresa Scantamburlo (Ca’ Foscari University of Venice, Italy),

Valerio Basile (University of Turin, Italy),
Federico Cabitza (University of Milano-Bicocca, Italy)

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Related readings

[1] Basile, V., Cabitza, F., Campagner, A., Fell, M. (2021)
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
arXiv preprint, arXiv:2109.04270
https://arxiv.org/pdf/2109.04270.pdf
[2] Zhang, J., Wu, X., Sheng, V.S. (2016)
Learning from crowdsourced labeled data: A survey.
Artificial Intelligence Review
[3] Fornaciari, T., Uma, A., Paun, S., Plank, B., Hovy, D., Poesio, M. (2021)
Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task
Learning
Conference of the North American Chapter of the Association for Computational Linguistics:
Human Language Technologies (NAACL 2021)
[4] Campagner, A., Ciucci, D., Svensson, C.M., Figge, M. T., Cabitza, F. (2021)
Ground truthing from multi-rater labeling with three-way decision and possibility theory
Information Sciences
[5] Basile, V., Fell, M., Fornaciari, T., Hovy, D., Paun, S., Plank, B., Poesio, M., Uma, A. (2021)
We Need to Consider Disagreement in Evaluation
1st Workshop on Benchmarking: Past, Present and Future at ACL 2021

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Call for paper for MIA-COVID-2022 Workshop

January 19th, 2022 Daniela Lopez de Luise
We would like to invite you to submit your contribution to the 1st International Workshop on Medical Imaging
Analysis for Covid-19 (MIA-COVID-2022 Workshop) to be held in Lecce, Italy on May 24, 2022.
MIA-COVID-2022 Workshop is associated to ICIAP2022 conference 
The goal of this workshop is to provide an overview of the potential applications of AI in combating this pandemic using medical imaging methods. Contributions 
are invited on (but not limited to) the following topics:
– Covid-19 Diagnosis from X-rays images.

– Covid-19 Severity prediction from X-ray images.

– Covid-19 Segmentation of Infection.


– Covid-19 Diagnosis from CT-scans.

– Covid-19 Severity prediction from CT-scans.

– Covid-19 Diagnosis using Multimodal Imaging Data.

– Using of other medical Imaging (neither X-ray nor CT-scans) for Covid-19 Detection, e.g. Ultrasound.

– Novel data sets and performance comparisons.

Accepted Papers will be published at Springer LNCS post-proceedings

IMPORTANT DATES:
Paper Submission Deadline: March 15, 2022
Revision Deadline: March 30, 2022
Notification of acceptance: April 07, 2022
Camera ready: April 21, 2022

Guidelines And Technical Instructions:
In preparing their contributions, authors must follow Springer's guidelines and technical instructions, which can be found at the following address:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

After your paper has been accepted, you should follow the ICIAP2021 registration instructions described at the following link:
https://www.iciap2021.org/Registration/

PUBLICATIONS:
The maximum number of pages is 10 pages + 2 pages for references. Submissions will be selected through a peer review process. Each submission will be reviewed by at least two reviewers, considering originality, significance, clarity, soundness, relevance, and technical content. Authors may optionally submit additional material. Accepted papers will be published in the
ICIAP 2021 Conference Proceedings, published by Springer in the Lecture Notes in
Computer Science series (LNCS).

For more details, please visit the workshop website:
https://sites.google.com/view/covid19iciap2022

If you have any query,  Please do not hesitate to contact us through: faresbougourzi@gmail.com

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Fourth International Conference on Artificial Intelligence and Computational Intelligence AICI 2023

January 19th, 2022 Daniela Lopez de Luise

 

FIRST CALL FOR PAPERS

The Fourth International Conference on Artificial Intelligence and

Computational Intelligence (AICI 2023)

Hanoi, Vietnam,

January 13-14, 2023.

 

Organized by Thang Long University together with VFSS

Sponsored by International Fuzzy Systems Association (IFSA)

(by hybrid mode: in-person mode and online mode)

 

Venue: Thang Long University, Nghiem Xuan Yem Rd., Hoang

MaiDistrict, Hanoi, Vietnam

(https://thanglong.edu.vn/)

 

This conference aims at bringing together researchers in Artificial

Intelligence and Computational Intelligence and related topics for an

opportunity to present and discuss theoretical and applied research

problems as well as to foster research collaborations.

 

Themes: Deep Learning and Other Soft Computing Techniques:

Biomedical and Related Applications

 

Topics of interest include but are not limited to, the following:

Artificial Intelligence

AI Algorithms

Artificial Intelligence tools & Applications

Automatic Control

Knowledge-based Systems

Robotics

……

Computational Intelligence

Fuzzy Systems

Neural Networks

Machine learning

Deep learning

Big data

……

 

Website: https://aici2023.thanglong.edu.vn (to appear soon)

 

Publications:

Accepted papers for presentation at AICI 2023 will be published in

the Springer-Verlag book series “Studies in Computational

Intelligence” indexed in Scopus.

 

Registration Fees:

For participants who choose online mode:

Authors: 200 US$

Vietnamese Authors: 3.000.000 VNĐ (3 triệu VNĐ)

Participants who are not paper authors: Free

For participants who choose in-person mode:

Authors: 400 US$

Student Authors: 300 US$

Vietnamese Authors: 4.000.000 VNĐ (4 triệu VNĐ)

Foreign participants who are not paper authors: 100 US$

Vietnam participants who are not paper authors:

  500.000 VNĐ (0,5 triệu VNĐ)

 

Important dates:

– Paper Submission Deadline: August 15, 2022

– Notification of acceptance:  October 1, 2022

(with instructions for submitting the final manuscript and Copyright

Agreement form of Springer).

– Final version submission deadline: October 31, 2022

– Conference: 13-14 January 2023

– We organize One day Trang An tour: 15 January 2023

(https://hanoiexploretravel.com/ninh-binh-itinerary/trang-an-day-tour-from-hanoi)

 

How to submit

 

We invite scientific papers up to 12 pages, to be submitted in PDF

via the Easychair system at the following link:

https://easychair.org/conferences/?conf=aici2023. (to appear soon)

 

General Chair:

Phan Huy Phu (Thang Long University, Vietnam)

 

Scientific Committee Chairs:

Hung T. Nguyen (New Mexico State University, USA and

  Chiang Mai University, Thailand)

Vladik Kreinovich (University of Texas at El Paso, USA)

Nguyen Hoang Phuong (Thang Long University, Vietnam)

 

Organizing Committee Chairs:

Cao Kim Anh

Nguyen Hoang Phuong

 

Contact person:

Nguyen Hoang Phuong,

Informatics Division, Thang Long University, Vietnam

email: nhphuong2008@gmail.com

Mob. (+84) 904 128 118

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Call for papers – GoodBrother Workshop on Visual Intelligence for Active and Assisted Living (GoodBrother-VI4AAL)

January 19th, 2022 Daniela Lopez de Luise

GoodBrother Workshop on Visual Intelligence for Active and Assisted Living (GoodBrother-VI4AAL)

As part of the 21st International Conference on Image Analysis and Processing (ICIAP) – https://www.iciap2021.org/

24 May 2022, Lecce, Italy

https://goodbrother.eu/conferences/workshop-iciap/

Paper submission deadline: 15 March 2022

 

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and current economic context. The current COVID-19 pandemic is stressing out this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. In this respect, AAL applications based on computer vision, multimedia data processing and understanding, and machine intelligence present several advantages in terms of unobtrusiveness and information richness. Indeed, camera sensors are far less obtrusive with respect to the hindrance that other wearable sensors may cause to people’s activities. In addition to that, a single camera can monitor most of the activities performed in a room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring activities, movements, and overall conditions of the assisted individuals as well as to assess their vital parameters (e.g., heart rate, respiratory rate). Nevertheless, as the other side of the coin, cameras are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information that this technology conveys and the intimate setting where it may be deployed in. Therefore, solutions able to ensure privacy preservation by context and design as well as to ensure high legal and ethical standards are in high demand. This workshop aims to give forum for contributions presenting and discussing image- and video-based AAL applications, projects and research as well as initiatives proposing ethical and privacy-aware solutions.

 

This workshop is organised by the GoodBrother COST Action (CA19121) on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living (https://goodbrother.eu/). The aim of Goodbrother is to increase the awareness on the ethical, legal, and privacy issues associated to audio- and video-based monitoring and to propose privacy-aware working solutions for assisted living, by creating an interdisciplinary community of researchers and industrial partners from different fields (computing, engineering, healthcare, law, sociology) and other stakeholders (users, policy makers, public services), stimulating new research and innovation. Goodbrother will offset the “Big Brother” sense of continuous monitoring by increasing user acceptance, exploiting these new solutions, and improving market reach.

 

The topics of interest include, but are not limited to, unobtrusive and user-friendly image- and video-based AAL solutions for:

  • Lifelogging and self-monitoring
  • Remote monitoring of vital signs
  • Emotional state recognition
  • Food intake monitoring
  • Human activity and behaviour recognition
  • Personal and daily-life assistance
  • Gesture recognition
  • Fall detection and prevention
  • Mobility assessment and frailty recognition
  • Cognitive and motor rehabilitation

 

Accepted papers will be included in the ICIAP 2021 proceedings, which will be published by Springer as Lecture Notes in Computer Science (LNCS) series.

 

Paper submission timetable:

  • 15 March 2022 – Paper submission deadline
  • 7 April 2022 – Notification of acceptance
  • 21 April 2022 – Submission of camera-ready papers
  • 24 May 2022 – Workshop date

 

More information at https://goodbrother.eu/conferences/workshop-iciap/.

 

Francisco (Paco) Flórez-Revuelta

http://www.dtic.ua.es/~florez/

francisco.florez@ua.es

Associate Professor

Department of Computing Technology, Research Group on Domotics and Ambient Intelligence

University of Alicante

Carretera San Vicente s/n, 03690 San Vicente del Raspeig, Alicante (Spain)

Coordinator of visuAAL Marie Skłodowska-Curie ITN. Chair of the GoodBrother COST Action

Google Scholar – LinkedIn – Twitter – Slideshare – Facebook

 

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