webinar by Prof. Terence Sim on “Continuous Authentication – Still a
Thing after 20 years?”. Detail on the webinar are given below:
Title: Continuous Authentication – Still a Thing after 20 years?
Speaker: Assoc. Prof. Terence Sim, National University of Singapore
When: January 17, 2024 at 11 am Beijing Time (8:30 am IST, 7 pm PST and
10 pm ET on 16 Jan 2024)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_5_O5LVVsQwSxMKuayQNSBw
*** Talk Summary ***
In this webinar, the speaker will explore the concept of Continuous
Authentication (CA), a security measure where a computer system
continuously verifies the identity of the user during a session. This
approach is contrasted with One-Time Authentication (OTA), which only
verifies identity at the session’s start. Although CA was first proposed
in 2000, it has gained significant attention recently due to the
widespread use of smartphones and IoT devices. The webinar will cover
the evolution and progress of CA over the past twenty years, addressing
the key challenges it faces and suggesting potential areas for future
research. CA is intended to enhance, not replace, OTA methods.
*** About the Speaker ***
Dr. Terence Sim is an Associate Professor at the School of Computing,
National University of Singapore (NUS). He is also Vice Dean for the NUS
Office of Admissions. Over 2 decades, Dr. Sim has conducted research in
Biometrics, Computer Vision, Computational Photography, and Privacy in
Images. He served as Second Vice President in the International
Association for Pattern Recognition from 2020 to 2022, and is still
chairing a committee there. He is also active in the IEEE Biometrics
Council, where for the past two years he chaired the Selection Working
Group for the annual awards given by the Council. Dr. Sim obtained his
PhD from Carnegie Mellon University in 2002, his MSc from Stanford
University in 1991, and his SB from the Massachusetts Institute of
Technology in 1990. He is also a proud alumnus of Raffles Institution,
the oldest school in Singapore.
For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars
ECAI-2024: Call for Papers, Tutorial Proposals and Workshop Proposals
December 5th, 2023 
Daniela Lopez de Luise The 27th European Conference
on Artificial Intelligence (ECAI-2024) will be held in the beautiful city of Santiago de Compostela during 19-24 October 2024. Join us to mark the 50th birthday since the first AI conference was held in Europe back in 1974.
We
invite all members of the international AI research community to submit their best work to ECAI. We furthermore invite proposals for workshops and tutorials to be held during the first two days of the conference. Proposals from all subfields of AI, and organisers
and presenters of all levels of seniority are welcome.
The
deadlines are as follows:
Workshop
proposals: Monday, 15 January 2024
Tutorial
proposals: Thursday,
15 February 2024
Papers:
Thursday, 25 April 2024 (abstract deadline one week earlier)
Demos:
Thursday, 9 May 2024
Consult
the ECAI-2024 website for the full Calls:
Call
for Workshop Proposals:
https://www.ecai2024.eu/calls/workshops
Call
for Tutorial Proposals:
https://www.ecai2024.eu/calls/tutorials
Call
for Papers:
https://www.ecai2024.eu/calls/main-track
Call
for Demos: https://www.ecai2024.eu/calls/demos
Calls
for the Doctoral Consortium and our sister conference on Prestigious Applications of Intelligent Systems (PAIS) will get published soon, so please stay tuned.
The 8th International Conference on Belief Functions (BELIEF 2024)
December 5th, 2023 Daniela Lopez de Luise Dates: September 4th-6th, 2024
Location: Belfast, Ulster University, Northern Ireland, UK
* April 15, 2024: Paper submission deadline
* May 31, 2024: Author notification
* June 30, 2024: Camera-ready copy due
================================================================
The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories.
The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024.
To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome.
===========
Proceedings
===========
Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI).
==================
IJAR Special issue
==================
Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning.
=======================================
BELIEF 2024 Program Committee co-chairs
=======================================
Dr Yaxin Bi (y.bi@ulster.ac.uk” target=”_blank”>y.bi@ulster.ac.uk), Ulster University, UK
Dr Anne-Laure Jousselme (anne-laure.jousselme@csgroup.eu” target=”_blank”>anne-laure.jousselme@csgroup.eu), CS Group, France
INVICTA 2024 @Porto CALL FOR APPLICATIONS
December 5th, 2023 Daniela Lopez de Luise 
Special Issue: Camera Traps, AI, and Ecology – IET Computer Vision Journal
December 5th, 2023 Daniela Lopez de Luise Call for Papers – IET Computer Vision
Special Issue: Camera Traps, AI, and Ecology
Submission deadline: Friday, 15 December 2023
The development and integration of computer vision techniques into research pipelines for biodiversity, species conservation, animal husbandry, taxonomic research, and ecology has recently evolved from a niche field into an ever more important and growing interdisciplinary subject. Alongside drones, satellites, and manual photography, camera traps form the most frequently employed, often most impactful, and also cost-effective visual sensor class in large-scale use today. New cross-disciplinary science directions such as imageomics and animal biometrics are taking shape on the back of this increasing visual sensor capacity bridging from visual measurement to biological interpretation. Maybe most importantly though, ecological applications of AI and specifically computer vision have started to make a positive impact on the real-world monitoring of wildlife and related conservation actions via tools for the detection, tracking, and analysis of animals and their behaviours.
This special issue aims at providing a high-quality publication platform in this interdisciplinary domain, in particular for novel computer vision techniques, significant dataset contributions, pioneering applicational work, and inspiring interdisciplinary ventures that integrate vision engineering with ecological research.
Topics for this call for papers include but not restricted to:
- Camera trap datasets (images, image sequences, or videos) from wildlife camera traps, insect cameras, or other animal monitoring cameras (e.g., in a Zoo or other controlled environments)
- Animal detection (in images or videos)
- Identification of individuals and morphological traits (in images or videos)
- Species and fine-grained recognition approaches for animals (in images or videos)
- Animal pose estimation (in images or videos)
- Tracking of animal movement (in images or videos)
- Video recognition of animal behaviour
- Applying AI methods to camera trap data for answering ecological questions including new ecological questions or important open problems that can’t be solved with current AI approaches.
Guest Editors:
Tilo Burghardt
University of Bristol
United Kingdom
Majid Mirmehdi
University of Bristol
United Kingdom
Paul Bodesheim
University of Jena
Germany
Joachim Denzler
University of Jena
Germany
Dimitri Korsch
University of Jena
Germany
Otto Brookes
University of Bristol
United Kingdom
Marco Heurich
University of Freiburg
Germany
Hjalmar S. Kühl
Max Planck Institute
Germany
Teamleiter / Team Leader: “Computer Vision and Machine Learning”
Lehrstuhl für Digitale Bildverarbeitung / Computer Vision Group
Fakultät für Mathematik und Informatik / Department of Mathematics and Computer Science
Friedrich-Schiller Universität Jena / Friedrich Schiller University Jena
Ernst-Abbe-Platz 2
07743 Jena, Germany
Telefon / Phone: +49 3641 9 46410
E-Mail: paul.bodesheim@uni-jena.de
Internet: https://www.inf-cv.uni-jena.de/bodesheim.html