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Negotiation Strategies for Success programme by NUS Lee Kuan Yew School of Public Policy | Accepting Applications
November 7th, 2022 
Daniela Lopez de Luise INTELLI 2023: Special Track Invitation
November 5th, 2022 Daniela Lopez de Luise |
Special Track Invitation INTELLI 2023, The Twelfth International Conference on Intelligent Systems and Applications March 13 – 17, 2023 – Barcelona, Spain
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Dear INTELLI 2023 technical committee member, During INTELLI 2023, taking place during March 13 – 17, 2023 in Barcelona, Spain, the IARIA Board decided to have a few special tracks. This will strengthen the event and provide more visibility to the committee members. To that respect, a few scientists were selected from the program committee of the conference. You are invited to participate in this initiative to gather contributors and organize a special track on a topic you and your peers are working on. The submission deadline for special track articles is January 26. All events will be held in a hybrid mode: on site, prerecorded videos, voiced presentation slides, pdf slides. After reading the invitation, a reply is greatly appreciated regarding your availability to take part in this effort. Then, a step-by-step procedure will be communicated to you. If you accept this invitation, but are unable to participate as chair during the conference, you can delegate that task to someone else from your team when time comes. If your schedule does not allow you to undertake this effort, feel free to forward this invitation to a colleague. A special track is intended to work this way: The benefits of the special track Chair:
Note: A track is successful when minimum 3-4 contributions are registered as regular contributions. The responsibilities of the Chair
The conference logistics will then
The papers will be in the conference proceedings and publicly accessible in an open access digital library at www.thinkmind.org Information for the authors
Potential contribution types
If you agree, please:
These dates are somewhat flexible, providing arrangements are made ahead of time with you. A reply is appreciated, regardless of the decision, for a better coordination among topics/special tracks. If you take the leadership of a special track, a step-by-step procedure will be communicated to you. Thanks, and looking forward for your position! Steve
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Asynchronous Web e-Courses on Machine Learning and Neural Networks/Deep Learning on offer. Free access to course material
November 3rd, 2022 Daniela Lopez de Luise Neural Networks/Deep Learning (14 Lectures), http://icarus.csd.auth.gr/neural-networks-and-deep-learning-web-module/
- Artificial Neural Networks. Perceptron
- Multilayer Perceptron. Backpropagation.
- Convolutional Neural Networks
- 1D Convolutional Neural Networks
- Deep Autoencoders
- Attention and Transformer Networks
- Recurrent Neural Networks. LSTMs
- Deep Object Detection
- Special topics in Object Detection
- Few-Shot Object Recognition
- Deep Semantic Image Segmentation
- Adversarial Machine Learning
- Generative Adversarial Networks in Multimedia Creation
- Mathematical Brain Modeling
Machine Learning (12 Lectures), http://icarus.csd.auth.gr/machine-learning-web-module/
1) Introduction to Machine Learning
2) Data Clustering
3) Distance-based Classification
4) Decision Surfaces. Support Vector Machines
5) Label Propagation
6) Dimensionality Reduction
7) Graph-based Dimensionality Reduction
8) Kernel Methods
9) Bayesian Learning
10) Parameter Estimation
11) Hypothesis Testing
12) Syntactic Pattern Recognition
Around 50% of the lectures provide free access to the full lecture pdf!
You can find sample Web e-Course Module material to make up your mind and/or can perform CVML Web e-Course registration in:
http://icarus.csd.auth.gr/cvml-web-lecture-series/
For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>
More information on this Web e-course: This Web e-Course Computer Vision material that can cover a semester course, but you can master it in approximately 1 month.
Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy.
CVML Web e-Course Module materials typically consist of: a) a lecture pdf/ppt, b) lecture self-assessment understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures) and overall course module satisfaction questionnaire.
Asynchronous tutor support will be provided in case of questions.
Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants.
More information on other CVML Web e-course: Several other Web e-Course Modules are offered on Deep Learning, Computer Vision, Autonomous Systems, Signal/Image/Video Processing, Human-centered Computing, Social Media, Mathematical Foundations, CVML SW tools.
See: http://icarus.csd.auth.gr/cvml-web-lecture-series/
Seminario Internacional para el Desarrollo del Sistema Ferroviario ((jueves 10 de noviembre, 09:30hs a 16:30hs)) _ Modalidad: presencial + virtual
November 2nd, 2022 Daniela Lopez de Luise “>
Webinar by Dr. Sébastien Marcel on Face Presentation Attack Detection
November 1st, 2022 Daniela Lopez de Luise FREE ONLINE WEBINAR on Face Presentation Attack Detection ***
The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Sébastien Marcel on “Face Presentation Attack
Detection”. Detail on the webinar are given below:
Title: Face Presentation Attack Detection
Speaker: Prof. Sébastien Marcel, University de Lausanne/IDIAP, Switzerland
When: 7 December 2022, at 10am CET (5 pm CST, 4am ET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_qEuvpABRQt-f15358CeMuA
*** Talk Summary ***
In biometrics, Presentation Attacks (PA also referred to as spoofing)
are performed by falsifying the biometric trait and then presenting this
falsified information to the biometric system, one such example is to
fool a fingerprint system by copying the fingerprint of another person
and creating an artificial or gummy finger which can then be presented
to the biometric system to falsely gain access. This is an issue that
needs to be addressed because it has recently been shown that
conventional biometric techniques are vulnerable to presentation
attacks. One of the main challenges in Presentation Attack Detection
(PAD also referred to as anti-spoofing) is to find a set of features and
models (mostly classifiers) that allows systems to effectively
distinguish signals that were directly emitted by a human from those
reproduced by an attacker. This talk will present an overview of typical
face PAs and PAD techniques.
*** About the Speaker ***
Sébastien Marcel (IEEE Senior member – H-index 63) is Professor at the
University de Lausanne (UNIL) at the School of Criminal Justice and
lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he
is teaching on “Biometrics” and “Fundamentals in Statistical Pattern
Recognition” respectively. He serves on the Program Committee of several
scientific journals and international conferences in pattern recognition
and computer vision. He is a senior researcher at the Idiap Research
Institute (Switzerland), he heads the Biometrics Security and Privacy
group and conducts research on face recognition, speaker recognition,
vein recognition, attack detection (presentation attacks, morphing
attacks, deepfakes) and template protection. He received his Ph.D.
degree in signal processing from Université de Rennes I in France (2000)
at CNET, the research center of France Telecom (now Orange Labs). He is
also the Director of the Swiss Center for Biometrics Research and
Testing, which conducts certifications of biometric products. He is
Associate Editor of IEEE Transactions on Biometrics and Identity
Science. He was Associate Editor of IEEE Signal Processing Letters,
Associate Editor of IEEE Transactions on Information Forensics and
Security, a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a
Guest Editor of the IEEE Transactions on Information Forensics and
Security Special Issue on “Biometric Spoofing and Countermeasures”, and
Co-editor of the IEEE Signal Processing Magazine Special Issue on
“Biometric Security and Privacy”. He is also the lead Editor of the
Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2 and 3).
For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars