Image and Vision Computing, Special Issue on “Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision”

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*** Call for Papers –  Image and Vision Computing***

Special issue on Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision

*PAPER SUBMISSION DEADLINE: Feb 7, 2025*
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= OVERVIEW =

The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.

Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.


= SPECIAL ISSUE TOPICS =

The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision.  Topics include, but are certainly not limited to:
  • Responsible image synthesis
  • Generative models
  • Assessing and comparing AI explanations
  • Researching causal learning and inference
  • Synthetic medical data with clinical information
  • Innovative synthesis of biometric data
  • Generating natural language for explanations
  • AI transparency and fairness
  • Learning from synthetic data
  • Interpreting biometric models and vulnerabilities
  • Fairness enhancement with synthetic data

= IMPORTANT DATES =
Submission dates:

Submission Open Date: Oct 1, 2024
Final Manuscript Submission Deadline: Feb 7, 2025
Editorial Acceptance Deadline: Apr 7, 2025
= GUEST EDITORS =

Lucia Cascone – University of Salerno, Italy (lcascone@unisa.it)
Zilong Huang – TikTok, Singapore (
zilonghuang2020@gmail.com)
Pedro C. Neto – Unilabs & FEUP (pedro.d.carneiro@inesctec.pt)
Ana F. Sequeira – INESC TEC (ana.f.sequeira@inesctec.pt)
= SUBMISSION AND REVIEW DETAILS =

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from Oct 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com). 

Call for Fall 2024 International AI Doctoral Academy (AIDA) course proposals

Dear Al Professors, Postdocs or Senior AI researchers,

 in the framework of the AI4Media EU project funded under the European Union’s Horizon 2020, together with the ICT48 projects ELISE, VISION, HumanE AI NET and TAILOR, we have organized the International AI Doctoral Academy (AIDA) aiming to become a reference initiative for AI education in Europe and implement mechanisms for inter-university sharing of AI educational assets at PhD-level. As part of the program, AIDA offers a series of courses on Artificial Intelligence and related fields given by distinguished lecturers. 

AIDA had an excellent AI course offer in the past 3 years: 41 short courses and 41 semester courses with more than 3300 registrants.

This semester (Fall 2024/winter 2025) AIDA offers an exciting selection of short, semester courses and web-lecture series designed to deepen your knowledge and skills.

Below is a list of the scheduled courses for this semester offered by top AI Universities:

*          Constraint Programming

*          Big Data Analytics for Natural Disaster Management (NDM)

*          Deep Learning and Computer Vision for Industrial Infrastructure Inspection

*          Artificial Intelligence, digital markets and consumers

*          Large Language Models Development with Python and Hugging Face

*          Advanced Computer Vision

*          Digital Image Processing

*          Computer Vision and Machine Learning – Web Lecture Series 

We invite you to contribute to this initiative for the definition of the AIDA Fall semester program (from Sept 1st, 2024, to January 31st, 2025) by offering courses and becoming part of this vibrant learning community.

You can participate in the AIDA program by offering new or opening-up existing courses targeted to AIDA students* or other students worldwide according to the participation terms of your own organization. Short/Very Short course formats (5-16 hours) are typically encouraged, while semester courses, or asynchronous mode web courses will be considered as well. Accepted courses will be listed on AIDA website (https://www.i-aida.org/) and will be advertised for free with the support of AIDA dissemination channels. Proposals for courses for the AIDA Fall semester program should be sent to: Prof. Stefano Berretti stefano.berretti@unifi.it, and Ms. Efi Patmanidou epatmanidou@iti.gr  and will be evaluated by the AIDA Committee.

Any qualified Al Professor/Postdoc or Senior AI researcher (PhD holder) can apply to offer a course, no matter if she/he belongs to a host University that is an AIDA member or not. The course lecturer(s) and heir host University/Institution define course fees and other course-related issues.

* AIDA Students (PhD students, Postdoc researchers, possibly qualified MSc students of AIDA Members).

>>> Please find the details of what should be included in the course proposals in the AIDA Course Application Form here.

  Best regards,

 Prof. Ioannis Pitas (on behalf of Prof. Berretti)

 AIDA Chair

Curso Electricidad Automotriz ¡Quedan pocas horas! ¿Te vas a quedar fuera?

YoReparo

Hola Daniela, 

¡Quedan pocas horas para que comience el Curso de Electricidad Automotriz! ⏰ No pierdas esta oportunidad de llevar tus conocimientos al siguiente nivel

En YoReparo, sabemos que los desafíos en el mundo de la reparación automotriz están en constante evolución. Por eso, queremos ayudarte a estar siempre un paso adelante con nuestro Curso de Electricidad Automotriz, diseñado por expertos para brindarte las herramientas necesarias para destacar en el sector

👉 INSCRIBETE AQUI AHORA 👈 

Este curso está pensado para ti si quieres:
🔧 Entender los fundamentos de la electricidad automotriz de manera clara y práctica  
🚗 Diagnosticar y reparar fallas de sistemas eléctricos con seguridad y precisión  
⚙️ Aprender de instructores con más de 18 años de experiencia que compartirán sus secretos y mejores prácticas en cada clase  

Cada clase está diseñada con demostraciones en vivo desde el taller, cubriendo desde los fundamentos eléctricos hasta sistemas de carga, motor de arranque, encendido y diagramas eléctricos

Quedan pocas horas, ¡no te quedes fuera! Tu futuro como técnico en electricidad automotriz comienza aquí. ¡Te esperamos!

Saludos,  
Mauricio Etcheverry y el Equipo de YoReparo

Jornadas de Ciencia Tecnología y Posgrado 24/9

Desde la Escuela de Posgrado los invitamos a participar en el marco de las Jornadas de Ciencia y Tecnología al  ciclo de charlas a llevarse a cabo el próximo martes 24 de septiembre en el Aula Nro 31.

 

 

17.30 hs. Orquestrategias: el arte de IN-NOVAR en las Organizaciones.

 

Dra. Nadina de Carlos. 

Mg. en Negociación y Mediación. Mg. en Derecho Laboral Internacional. Mg. en Educación. Profesora de Música

CEO & FOUNDER “EGICH” Empresa de Gestión Integral del Capital Humano. Directora Académica U-RUS.

 

18.30 hs. Deep Learning: Aplicaciones al Procesamiento de imágenes, Medicina y Finanzas”.

 

Dr. Mario González Olmedo.

Dr. en Matemática Aplicada. Dr. en Ingeniería Eléctrica. Mg. en Ing. Matemática.

Investigador y Profesor Universidad de la República.

 

¡Los esperamos!

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Tecnologías Apropiadas para la Construcción y Operación de Biodigestores.

Te invitamos a participar del curso Tecnologías Apropiadas para la Construcción y Operación de Biodigestores, dictado por el Mg. Ing. Fernando Carlos Raffo.
🔅¿A quién está dirigido?
* Alumnos del Grupo Gelacc.
* Miembros de la comunidad académica FRCU.
* Público en general interesado en la temática de energías renovables y tecnologías sostenibles.
🔅 Duración: 5 clases, los días miércoles de 16:30 a 18:30 hs.
🔅 Inicio: Miércoles 18 de septiembre de 2024.
🔅 Modalidad: Presencial.
🔅Inversión:
* Integrantes del GELACC: $2500.
* Miembros comunidad académica FRCU: $5000.
* Público general: $10000.
🔅Inscríbete ya a través del siguiente enlace: https://bit.ly/BiodigestoresUTN
📱 Por consultas pueden comunicarse con la Secretaría de Extensión Universitaria y Cultura de UTN FRCU.
🏫 Oficinas 21 y 22 de UTN FRCU – Ing. Pereira 676 – De 8 a 22hs.
📱 Whatsapp: 3442465757
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