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Your Ideas Deserve Attention – Make them Known at KES 2023!

CALL FOR PAPERS – KES 2023

27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 

6-8 September 2023 | Athens, Greece

Call for Papers NOW OPEN! Submit your paper today!

Since it's inception 27 years ago, the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems has been the go-to event for exploring intelligent systems and their applications. 

With more over 450 attendees and 5 expert speakers in 2022, the annual KES Conference unites our community to connect, educate, inspire and grow. We are honoured to invite you to submit a paper to share your expertise with our community.

KES-23 will take place in Athens, Greece from 6-8 September 2023. The conference encompasses a broad spectrum of intelligent systems related subjects – the conference scope can be found …here… Below are all of the details and deadlines you need to submit your paper.

Conference Website

HOW TO SUBMIT YOUR PAPER

**DEADLINE TO SUBMIT: 3 April, 2023**

*IMPORTANT* – Full papers should be detailed academic articles in conventional format. (there is no abstract submission stage) The guide length for full papers is 8 to 10 pages (maximum).

DEADLINES FOR SUBMISSIONS

  • Submission of papers Deadline: The deadline to submit your paper is 3 April, 2023.
  • Notification of Acceptance: Your submission will be evaluated by 08 May, 2023.
  • Final Publication Files: Your publication files to be received by 29 May, 2023.

To submit your paper, please click on the following link.

Click Here to Submit your Paper

Scope

General Track Sessions:


G1: Machine Learning, Artificial Neural Networks and Deep Learning

This track will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning in different application fields with especial emphasis on the design of those systems, are particularly encouraged.

G2: Knowledge Based and Expert Systems

This track covers knowledge-based systems and expert systems, both theoretical research and its applications. Contributions using techniques in knowledge-based systems and expert systems applied to real-world problems, as well as interdisciplinary research involving knowledge-based systems and expert systems in different application fields, are particularly encouraged.

G3: Intelligent Information and Engineering Systems

G3 track covers both intelligent information and engineering systems (G3a) and Cybersecurity (G3b), theoretical research and applications. Intelligent information and engineering systems is a broad topic and includes contributions describing techniques handling real-world problems. It also includes research involving intelligent information and engineering in different application fields.

G4: Industry Applications

This track covers Industry Applications. Contributions describing industry application techniques applied to real-world problems and interdisciplinary research involving industry applications in different application fields, with especial emphasis on industry, are particularly encouraged.

 

Call for Invited Sessions

 An invited session consists of a presentation session of 6 to 12 or more papers on a specific conference topic, organised as half or full day mini-conference. We invite senior scientists who have a special interest in a specific conference topic to take responsibility for an invited session, gathering papers from a range of research expertise around the world.  

Researchers who would like to organise one or more Invited Sessions on topics falling within the scope of the conference are invited to submit a proposal for consideration.

Information on Invited Sessions
Information on General Tracks

Submission Guidelines and Review Process

Authors are invited to submit original, unpublished papers which are not under review for another conference, workshop, or journal by the time of submission. The contributors should address one or more research areas included above.

Detailed submission information is available on the conference page 

cfp ‘Neurocomputational models of language processing’

Dear colleagues,

 

could you please be so kind and disseminate the call for papers for the following research topic :

 

Neurocomputational models of language processing

https://www.frontiersin.org/research-topics/49147/neurocomputational-models-of-language-processing

 

Markus J. Hofmann (General and Biological Psychology‪, University of Wuppertal, Germany)

Harm Brouwer (Psycholinguistics, Language Science and Technology, Saarland University, Germany)

Ya-Nin Chang, MRC Cognition and Brain Sciences, University of Cambridge, UK)

Michael Zock (CNRS, AMU, LIS-lab, Marseille, France)

 

Keywords: Neurocomputational Models, Language Processing, Human Neuroscience, Speech and Language, Behavioural Data, Neuroimaging Data, Language Production and Comprehension, Machine Learning, Deep Learning

 

Abstract Submission Deadline : 15 March 2023

Manuscript Submission Deadline 15 November 2023

 

Our ability to produce and understand language involves a complex, dynamic interaction between different types of knowledge, involving orthographic, phonological, semantic, syntactic, and pragmatic representations, as well as knowledge of the world. Moreover, given that discourse rapidly unfolds at the rate of several words per second, these representations need to be activated, retrieved and/or computed in real time. Informed by behavioral and neuroimaging data, explicit neurocomputational models of language processing seek to offer mechanistic explanations of the representations and computations that underlie online language production and comprehension.

 

Neural models from the field of machine learning and particularly deep learning are only the most recent developments in this field. Localist and distributed connectionist models, advanced measurement models like diffusion models, and expert systems are alternative formal approaches able to capture various aspects of language processing. Finally, probabilistic language models as well as corpus-based approaches are powerful computational techniques, which, taken together, may enhance our understanding of language in terms of how it is represented and processed in the human brain.

 

In this Research Topic, we invite submissions that combine such neurocomputational models of language processing with human neuroimaging and behavioral data. The manuscripts can be submitted to Frontiers in Human Neuroscience and may contain sophisticated neural simulations of specific aspects of language processing. These submissions can either deepen our understanding of unimpaired language processing or shed light on language disorders or developmental aspects of language. Alternatively, the papers can be submitted to Frontiers in Artificial Intelligence and thus may highlight the state-of-the-art in natural language processing (NLP). Given this broad spectrum, topics may range from models that seek to explain electrophysiological and functional imaging data to neurally inspired computational models explaining eye-tracking eye-tracking or reading time data. With this special issue, we hope to provide a comprehensive overview of the latest developments in the neurocomputational modelling of human language production and comprehension.

AIDA Course: “An Introduction to Trustworthy Machine Learning”, 23-24/11/2022

Idiap Research Institute organizes an online AIDA short course on Trustworthy ML offered through the International Artificial Intelligence Doctoral Academy (AIDA). 

 

The purpose of this course is to overview the foundations and the current state-of-the-art in differentially private ML and adversarial examples for privacy protection.

 

This short course will cover the following topics:

  • Introduction and motivation (privacy and personal data)
  • Differential privacy

1.       Definitions

1.       Differentially private machine learning

  • Adversarial examples

1.       Adversarial goals, knowledge, and properties

1.       Defenses against adversarial examples

1.       Norm-bounded and content-based adversarial examples

  • Adversarial examples for privacy protection

1.       Privacy and utility for images/audio in social multimedia

  • Hands-on examples (with software modules distributed to the participants)

 

 

LECTURER: 

– Sina Sajadmanesh, email: sajadmanesh@idiap.ch

– Ali Shahin Shamsabadi, email: a.shahinshamsabadi@turing.ac.uk

– Daniel Gatica Perez, email: gatica@idiap.ch

 

HOST INSTITUTION/ORGANIZER: IDIAP

 

REGISTRATION: Free of charge.

 

WHEN: 23-24 November 2022 from 10:00 to 13:00 CET

WHERE: Online via Zoom

 

HOW TO REGISTER and ENROLL: 

Both AIDA and non-AIDA students are encouraged to participate in this short course.

 

If you are an AIDA Student* already, please:

Step (a) register for the course by sending an email to sajadmanesh@idiap.ch, AND

Step (b) enroll in the same course in the AIDA system using the enrollment button on the AIDA course page, so that this course enters your AIDA Course Attendance Certificate.

 

If you are not an AIDA Student do only step (a).

 

*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed on this page:

https://www.i-aida.org/about/members/)

 

Sina Sajadmanesh

Email sajadmanesh@idiap.ch

 

 

More details: https://www.i-aida.org/course/an-introduction-to-trustworthy-machine-learning/

 

CfP JIVP SI on “Manipulation Detection in Digital Images and Videos”

Call for papers
Final Extension!

Working on Manipulation Detection in Digital Images and Videos?

-> We are organizing a Special Issue at EURASIP Journal on Image and Video Processing!

Link: https://jivp-eurasipjournals.springeropen.com/manipulation-detection-in-digital-images-and-videos

Submission deadline: 15 December 2022

Guest Editors: Antitza Dantcheva, Abhijit Das, Hu Han, Christian Rathgeb, Naser Damer, Luisa Verdoliva, Ruben Tolosana

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