CBMI 2025: Special Session on Understanding Human Behaviour, Emotions and their Reasons – EXTENDED DEADLINE

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UHBER: Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons

This special session addresses the processing of all types of data related to understanding of human behaviour, emotion, and their reasons, such as current or past context. Understanding human behaviour and context may be beneficial for many services both online and in physical spaces, e.g., for workplaces, travel and leisure activities, for health support etc.

In the context of multimedia retrieval, understanding human behaviour and emotions could help not only for multimedia indexing, but also to derive implicit (i.e., other than intentionally reported) human feedback regarding multimedia news, videos, advertisements, navigators, hotels, shopping items etc. and to improve multimedia retrieval. For example, probably a movie recommender system should not put tragic movie on top of recommended movies when a user is tired and stressed.

Humans are good at understanding other humans, their emotions and reasons, and learning their tastes, skills and personality traits. Hence the interest of this session is, how to improve AI understanding of the same aspects? The topics include (but are not limited to) the following:

  • Use of various sensors for monitoring and understanding human behaviour, emotion / mental state / cognition, and context: video, audio, infrared, wearables, virtual (e.g., mobile device usage, computer usage) sensors etc.
  • Methods for information fusion, including information from various heterogeneous sources.
  • Methods to learn human traits and preferences from long term observations.
  • Methods to detect human implicit feedback from past and current observations.
  • Methods to assess task performance: skills, emotions, confusion, engagement in the task and/or context.
  • Methods to detect potential security and safety threats and risks.
  • Methods to adapt behavioural and emotional models to different end users and contexts without collecting a lot of labels from each user and/or for each context: transfer learning, semi-supervised learning, anomaly detection, one-shot learning etc.
  • How to collect data for training AI methods from various sources, e.g., internet, open data, field pilots etc.
  • Use of behavioural or emotional data to model humans and adapt services either online or in physical spaces.
  • Ethics and privacy issues in modelling human emotions, behaviour, context and reasons.

 

The conference proceedings will be published by IEEE. All submitted papers must conform to the IEEE manuscript templates for conference proceedings and the instructions it provides.

Special session submissions can be up to 6 pages + references in IEEE format. The review process is single-blind, i.e. submissions do not need to be anonymized. Please consider the submission guidelines on the conference website: https://www.cbmi2025.org

 

Submit your paper at https://www.conftool.pro/cbmi2025

And please remember to choose UHBER in the submission tool.

 

Submission Deadline: April 23, 2025 (AoE)  extended to May 13, 2025 (AoE).
Notification: 1 Jul 2025 (AoE)
Camera-ready & Registration: 1 Aug 2025 (AoE)

Conference: October 22-24 Dublin, Ireland

 

: Call for Book Chapters: “Recent Advances in Robotic Perception for Forestry” (Springer Nature)

We would like to inform you that the submission deadline for Book Chapters for the upcoming Springer Nature publication, “Recent Advances in Robotic Perception for Forestry,” has been extended.

The new and final deadline for Chapter Submission is June 22, 2025.

We continue to welcome high-quality submissions on all aspects of robotics and perception in forests and related outdoor environments. The book seeks to present valuable insights into how artificial perception is shaping the future of forestry robotics, covering areas such as landscape maintenance, wildfire prevention, and precision forestry tasks (harvesting, monitoring, planting, pruning, tree measuring, inventory), among others.

Important Updated Dates:

  • Chapter Submission Deadline: June 22, 2025
  • Chapter Acceptance Notification: July 29, 2025
  • Estimated Publication Date: December 29, 2025

There are no fees for publishing your chapter.

For detailed information, including submission guidelines and the list of topics of interest, please visit: https://forestry-springer-book.isr.uc.pt/rpf/cfp.html

We look forward to your contributions.

Kind Regards,

Inscríbete a Martes de Ciberseguridad en Ciberlac: Presente y Futuro de la Criptografía Poscuántica ☼

Hola,
 
¿Sabías que las computadoras cuánticas podrían ser utilizadas para realizar ciberataques con consecuencias catastróficas para la economía digital actual?
 
Participa en nuestro primer webinar de la serie Martes de Ciberseguridad en Ciberlac de 2025: Presente y Futuro de la Criptografía Poscuántica, que se realizará el próximo martes 6 de mayo a las 12:00 p. m. ET.
 
Este evento explicará cómo la seguridad de los métodos criptográficos actuales —como los utilizados en la web (TLS), las firmas digitales, las criptomonedas y los servicios de home banking— se basa en la dificultad de resolver ciertos problemas matemáticos mediante computadoras tradicionales, lo cual tomaría miles de años. Sin embargo, la irrupción de las computadoras cuánticas amenaza con romper estas barreras, ya que podrían resolver dichos problemas en mucho menos tiempo. Por esta razón, se están desarrollando algoritmos poscuánticos, diseñados para ser resistentes tanto a los ataques de computadoras convencionales como a los de computadoras cuánticas.
 
En esta sesión contaremos con la participación de:
 
  • Hugo D.Scolnik, profesor titular y director del Posgrado en Seguridad Informática de la Universidad Buenos Aires
  • Patricia Prandini, Presidenta de la Red Ciberlac
  • Liliana Estrada Galindo, Coordinadora de la Red Ciberlac
  • Santiago Paz, Especialista en Ciberseguridad del Banco Interamericano de Desarrollo
 
  

Webinar ACHIRP – Robusto-1: IA vs Humanos al volante 🚘

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🚗🤖 ¡Prepárate para un viaje al límite de la inteligencia artificial!

Webinar ACHIRP | Miércoles 7 de mayo de 2025, 17:00 h (Chile)

🧠 Título: Robusto-1: OOD Driving VQA Dataset from Peru – Humans vs VLMs

¿Puede una IA reaccionar como un humano ante lo inesperado en las calles?

Te invitamos a descubrirlo en este fascinante webinar, donde analizaremos cómo los modelos de lenguaje visual (VLMs) enfrentan escenarios reales de conducción en Perú —uno de los entornos más desafiantes del mundo— comparándolos con respuestas humanas, ¡y usando neurociencia para medirlo!

🔗 Inscríbete gratis aquí:https://shorturl.at/oMmNO

📩 Más info: info@achirp.org

#ACHIRP #Webinar #IA #ConducciónAutónoma #VLMs #Perú #Robusto1 #AIvsHuman #CVPR2025 #MachineLearning #AIevents

SASSUR 2025 – Deadline approaching

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12th International Workshop on Next Generation of System Assurance Approaches for Critical Systems – SASSUR 2025
September 9th, 2025
In conjunction with the 44th International Conference on Computer Safety, Reliability and Security – SafeComp 2025
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IMPORTANT DATES
Paper submission: May 5th, 2025
Notification of acceptance: May 27th, 2025
Camera-ready submission: June 10th, 2025
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System assurance and certification are amongst the most expensive and time-consuming tasks in the engineering of critical systems, e.g., safety-critical, security-critical, privacy-critical, explainability-critical, mission-critical, and business-critical systems. Assurance can be defined as the set of planned and systematic actions necessary to provide adequate confidence and evidence that a system satisfies given requirements, e.g., for system safety or for compliance with some standards. Certification can be defined as the legal recognition that a system complies with standards and regulations designed to ensure that the system can be depended upon to deliver its intended service.
Assurance and certification of critical systems require the execution of complex and labour-intensive activities, such as the management of compliance with hundreds or thousands of criteria defined in standards, the management of a large volume of evidence artefacts throughout a system’s lifecycle to demonstrate compliance, or the provision of convincing and valid justifications that a system is dependable. Therefore, the companies developing critical systems or components, as well as the companies assessing the systems and components, need approaches that facilitate these activities and ideally increase their efficiency. The challenges arising from system assurance and certification are further growing as a result of the technological advancements of critical systems, e.g., towards open, interconnected, networked, intelligent systems. This poses new challenges in ensuring safety, as well as other dependability concerns such as security, availability, robustness, and reliability. In general, practitioners expect improvements in the available methods and tool support for system assurance and certification.
The SASSUR workshop is intended to explore new ideas on assurance and certification of critical systems. In particular, SASSUR will provide a forum for thematic presentations and in-depth discussions about specification, analysis, reuse, composition, and combination of assurance arguments, of assurance evidence, and of contextual information about critical products, in a way that makes assurance and certification more cost-effective, precise, and scalable.
SASSUR aims at bringing together experts, researchers, and practitioners from diverse communities, such as safety, privacy, and security engineering, the recently coined explainability engineering, certification processes, model-based engineering, software and hardware design, critical systems, and application communities (transport, healthcare, industrial automation, robotics, nuclear, defence, etc.).
TOPICS
Contributions are sought in (but are not limited to) the following topics:
– Agile approaches in the context of critical systems
– Assurance and certification of autonomous or adaptive systems
– Assurance case development
– Assurance for new technologies and for their application  (e.g., blockchain, edge AI, and digital twins)
– COTS or external sourcing management of evidence in critical systems
– Cross-domain product certification
– Emergent V&V needs for assurance and certification
– Evolution of standards and trends on regulations
– Evolutionary approaches for system assurance
– Human factors in system assurance
– Industrial challenges for cost-effective assurance and certification of critical systems
– Integration of process-centric and product-centric assurance
– Management of assurance evidence
– Management of compliance with standards and regulations
– Methods and techniques for artificial intelligence assurance
– Mixed-criticality system assurance
– Model-based system assurance and certification
– Multi-concern (safety, security, privacy, reliability, explainability…) system engineering and assurance
– Support for re-certification processes
– Technical debt for safety, security, privacy, etc.
– Tool support for assurance and certification
INFORMATION FOR AUTHORS
Authors are invited to submit short papers (6 pages; including references) or full paper (max. 12 pages; including references) in PDF format using Easychair: https://easychair.org/conferences/?conf=sassur2025
Submissions must conform to the Springer LNCS formatting guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Papers will be peer-reviewed through a regular refereeing procedure, with a minimum of three reviewers per paper. If accepted for presentation, the papers will be published in the SafeComp 2025 Workshops proceedings (LNCS series in the last years). At least one author of each accepted paper must register to the workshop and present the paper so that it is included in the proceedings.
WORKSHOP COMMITTEES
Organisation Committee
– Jose Luis de la Vara. University of Castilla-La Mancha, Spain
– Barbara Gallina. Mälardalen University, Sweden
Programme Committee (to be completed)
– Rasmus Adler. Fraunhofer, Germany
– Joaquín Arias. Rey Juan Carlos University, Spain
– Clara Ayora. University of Castilla-La Mancha, Spain
– Alessandra Bagnato. Softeam, France
– Claude Baron. LAAS-CNRS, France
– Fabien Belmonte. Alstom, France
– Irene Bicchierai. ResilTech, Italy
– Tomas Bueno Momcilovic. Fortiss, Germany
– Carmen Carlan. TÜV Süd, Germany
– Simon Diemert. University of Victoria, Canada
– Víctor J. Exposito Jiménez. Virtual Vehicle, Austria
– Marie Farrell. University of Manchester, UK
– Magnus Gyllenhammar. Zenseact and KTH Royal Institute of Technology, Sweden
– Richard Hawkins. University of York, UK
– Jason Jaskolka. Carleton University, Canada
– Garazi Juez. BMW, Germany
– Sahar Kokaly. General Motors, Canada
– Nuno Laranjeiro. University of Coimbra, Portugal
– Xabier Larrucea. University of the Basque Country, Spain
– Georg Macher. Graz University of Technology, Austria
– Johnny Marques. ITA, Brazil
– Ilaria Matteucci. IIT-CNR, Italy
– Dag McGeorge. DNV, Norway
– Leonardo Montecchi. Norwegian University of Science and Technology, Norway
– Anitha Murugesan. Honeywell, USA
– Thor Myklebust. SINTEF, Norway
– Vera Pantelic. McMaster University, Canada
– Katia Potiron. KDNS, France
– José Proença. CISTER and University of Porto, Portugal
– Philippa Ryan. University of York, UK
– Nicolas Sannier. University of Luxembourg, Luxembourg
– Irfan Sljivo. KBR/NASA Ames Research Center, USA
– Kenji Taguchi. UL, Japan 
– Jéssyka Vilela. Federal University of Pernambuco, Brazil
– Fredrik Warg. RISE, Sweden
– Ran Wei. Lancaster University, UK
– Gereon Weiss. Fraunhofer, Germany
– Marc Zeller. Siemens, Germany

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