Special Issue on “Human Centered Artificial Intelligence: Putting the Human in the Loop for Implementing Sensors Based Intelligent Environments”

February 23rd, 2022 Daniela Lopez de Luise
We are happy to announce our Special Issue on ‘Human Centered Artificial Intelligence: Putting the Human in the Loop for Implementing Sensors Based Intelligent Environments’, which will be published in the MDPI – Sensors (IF: 3.576), an international, peer-reviewed, open-access journal publishing high-quality, original research.  SENSORS is abstracted/indexed in a broad range of databases including Scopus, SCIE (Web of Science), PubMed, MEDLINE, PMC, Embase, Ei Compendex, Inspec, and more.

You are cordially invited to submit a manuscript for consideration and possible publication.

Further details about the special issue, as well as the submission process are available online at: 
https://www.mdpi.com/journal/sensors/special_issues/Artificial_Intelligence_Implementing_Sensors   

The ushering of Artificial Intelligence (AI) in our everyday life has already stimulated rich discussions with, on the one hand, enthusiastic forecasts about how AI technologies will support human activities and improve quality of life, and, on the other hand, dark scenarios about the potential pitfalls and dangers entailed. In light of the above, there is an urgent need for a human-centered AI approach that will not just aim to consider human needs and requirements, but, more importantly, will actively aim to put humans in the loop. Recent research efforts towards better explainability, trustworthiness, and transparency pinpoint this need as a prerequisite for effective and efficient human utilization of autonomous systems.

In parallel, the unprecedented growth of the data generated from a vast number of sensors, cyber–physical and embedded systems, and IoT, which are already interwoven in our everyday life, lays the foundation for the fast pace developments of AI in general and machine learning in particular. However, this rapid evolution in the field of AI, associated with a remarkable depth of novel research contributions focusing on AI functionality, has not been accompanied by similar emphasis and progress on equally important fundamental aspects and design considerations advocated by the human-centered design process.

With the aim of bridging this gap in mind, this Special Issue aims to solicit original and high quality research articles that consider the current evolution of AI approaches under a human-centric approach in the development of intelligent environments. Exceptional contributions that extend previously published work will also be considered, provided that they contribute at least 60% new results. Authors of such submissions will be required to provide a clear indication of the new contributions and explain how this work extends the previously published contributions.

Topics may include, but are not limited to, the following:
 
·      Active machine learning
·      Adaptive personal AI systems
·      Causal learning, causal discovery, causal reasoning, causal explanations, and causal inference
·      Cognitive computing
·      Decision making and decision support systems
·      Emotional intelligence
·      Explainable, accountable, transparent, and fair AI
·      Explanatory user interfaces and HCI for explainable AI
·      Ethical and trustworthy AI
·      Federated learning and cooperative intelligent information systems and tools
·      Gradient-based interpretability
·      Interaction modalities and devices: visual, 2D/3D, augmented reality, simulations, digital twin, conversational interfaces, and multimodal interfaces
·      Interactive machine learning
·      Interpretability in reinforcement learning
·      Human–AI interactions and intelligent user interfaces
·      Human–AI teaming
·      Natural language generation for explanatory models
·      Processes, tools, methods, user involvement, user research, evaluation, AI technology assessment and customization, and standards
·      Rendering of reasoning processes
·      Self-explanatory agents and decision support systems
·      Usability of human–AI interfaces
 
 
The deadline for manuscript submission is 31 December 2022.
 
All submissions will be peer-reviewed and judged on originality, significance, technical strength, correctness, quality of presentation and relevance to the special issue topics of interest.
 
The Special Issue Guest Editors
Professor Constantine Stephanidis
Dr. George Margetis

Read More »

Special Session on Visual Recognition, Processing and Automation (ViRPA)

February 22nd, 2022 Daniela Lopez de Luise
A Special Session on Visual Recognition, Processing and Automation (ViRPA) will be organized in conjunction with the International Conference On Intelligent Computing (ICIC'22) to be held on August 7-11, 2022 in Xi'an, China. All accepted papers for special sessions will be published by Springer's Lecture Notes in Computer Sciences (LNCS)/ Lecture Notes in Artificial Intelligence (LNAI)/ Lecture Notes in Bioinformatics (LNBI). 
Consider to submit your unpublished works to this special session. 
Special Session link:
Some high-quality papers sub-selected from all ICIC2022 submissions will be included into ten SCI indexed international journals as special issues:
– IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB)
– Neurocomputing
– Cognitive Systems Research
– Systems Science & Control Engineering
– BMC Genomics
– BMC Bioinformatics
– BMC Medical Genomics
– BMC Medical Informatics and Decision Making
– BioData Mining
– Algorithms for Molecular Biology
Dr. Dakshina Ranjan Kisku 
Associate Professor 
Department of Computer Science
and Engineering 
National Institute of Technology Durgapur, India 
Read More »

A month left ! – Fine Art Pattern Extraction and Recognition (FAPER2022) @ICIAP2021

February 22nd, 2022 Daniela Lopez de Luise
  International Workshop on Fine Art Pattern Extraction and Recognition
                           F A P E R   2 0 2 2

         in conjunction with the 21st International Conference on
                Image Analysis and Processing (ICIAP 2021)
                      Lecce, Italy, MAY 23-27, 2022

               +++ SUBMISSION DEADLINE: March 15, 2022 +++

             >>> https://sites.google.com/view/faper2022 <<<
-> Submission link: https://easychair.org/conferences/?conf=faper2022 <-

               [[[ both virtual and in presence event ]]]
________________________________________________________________________

=== Aim & Scope ===

Cultural heritage, especially fine arts, plays an invaluable role in the
cultural, historical and economic growth of our societies. Fine arts are
primarily developed for aesthetic purposes and are mainly expressed
through painting, sculpture and architecture. In recent years, thanks to
technological improvements and drastic cost reductions, a large-scale
digitization effort has been made, which has led to an increasing
availability of large digitized fine art collections. This availability,
coupled with recent advances in pattern recognition and computer vision,
has disclosed new opportunities, especially for researchers in these
fields, to assist the art community with automatic tools to further
analyze and understand fine arts. Among other benefits, a deeper
understanding of fine arts has the potential to make them more
accessible to a wider population, both in terms of fruition and
creation, thus supporting the spread of culture.

Following the success of the first edition, organized in conjunction
with ICPR 2020, the aim of the workshop is to provide an international
forum for those wishing to present advancements in the state-of-the-art,
innovative research, ongoing projects, and academic and industrial
reports on the application of visual pattern extraction and recognition
for a better understanding and fruition of fine arts. The workshop
solicits contributions from diverse areas such as pattern recognition,
computer vision, artificial intelligence and image processing.

=== Topics ===

Topics of interest include, but are not limited to:
– Application of machine learning and deep learning to cultural heritage
and digital humanities
– Computer vision and multimedia data processing for fine arts
– Generative adversarial networks for artistic data
– Augmented and virtual reality for cultural heritage
– 3D reconstruction of historical artifacts
– Point cloud segmentation and classification for cultural heritage
– Historical document analysis
– Content-based retrieval in the art domain
– Speech, audio and music analysis from historical archives
– Digitally enriched museum visits
– Smart interactive experiences in cultural sites
– Projects, products or prototypes for cultural heritage restoration,
preservation and fruition
– Visual question answering and artwork captioning
– Art history and computer vision

=== Invited speaker ===

Eva Cetinic (Digital Visual Studies, University of Zurich, Switzerland)
– “Beyond Similarity: From Stylistic Concepts to Computational Metrics”

Dr. Eva Cetinic is currently working as a postdoctoral fellow at the
Center for Digital Visual Studies at the University of Zurich. She
previously worked as a postdoc in Digital Humanities and Machine
Learning at the Department of Computer Science, Durham University, and
as a postdoctoral researcher and professional associate at the Ruđer
Boškovic Institute in Zagreb. She obtained her Ph.D. in Computer science
from the Faculty of Electrical Engineering and Computing, University of
Zagreb in 2019 with the thesis titled “Computational detection of
stylistic properties of paintings based on high-level image feature
analysis”. Besides being generally interested in the interdisciplinary
field of digital humanities, her specific interests focus on studying
new research methodologies rooted in the intersection of artificial
intelligence and art history. Particularly, she is interested in
exploring deep learning techniques for computational image understanding
and multi-modal reasoning in the context of visual art.

=== Workshop modality ===

The workshop will be held in a hybrid form, both virtual and in presence
participation will be allowed.

=== Submission guidelines ===

Accepted manuscripts will be included in the ICIAP 2021 proceedings,
which will be published by Springer as Lecture Notes in Computer Science
series (LNCS). Authors of selected papers will be invited to extend and
improve their contributions for a Special Issue on IET Image Processing.

Please follow the guidelines provided by Springer when preparing your
contribution. The maximum number of pages is 10 + 2 pages for
references. Each contribution will be reviewed on the basis of
originality, significance, clarity, soundness, relevance and technical
content.

Once accepted, the presence of at least one author at the event and the
oral presentation of the paper are expected.

Please submit your manuscript through EasyChair:
https://easychair.org/conferences/?conf=faper2022

=== Important Dates ===

– Workshop submission deadline: March 15, 2022
– Author notification: April 1, 2022
– Camera-ready submission and registration: April 15, 2022
– Workshop day: May 23-24, 2022

=== Organizing committee ===

Gennaro Vessio (University of Bari, Italy)
Giovanna Castellano (University of Bari, Italy)
Fabio Bellavia (University of Palermo, Italy)
Sinem Aslan (University of Venice, Italy | Ege University, Turkey)

=== Venue ===

The workshop will be hosted at Convitto Palmieri, which is located in
Piazzetta di Giosue' Carducci, Lecce, Italy
____________________________________________________

  Contacts: gennaro.vessio@uniba.it
            giovanna.castellano@uniba.it
            fabio.bellavia@unipa.it
            sinem.aslan@unive.it

  Workshop: https://sites.google.com/view/faper2022
ICIAP2021: https://www.iciap2021.org/

Read More »

VISUM 2022 :: 10-16 July 2022 :: Porto, Portugal (on-site again!) :: CALL FOR APPLICATIONS

February 22nd, 2022 Daniela Lopez de Luise
Do you want a great opportunity to get on the cutting edge of Computer Vision and Machine Learning fields? Check on VISUM 2022.

The 10th edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 10 and 16 July 2022, at Crowne Plaza Hotel, Porto, Portugal. 

World-renowned experts in the field will deliver the courses, with both theoretical & practical sessions, covering the topics of:

  • Self-Supervised Learning | by Yuki Asano, University of Amsterdam, The Netherlands
  • Privacy-Preserving Machine Learning | by Jonathan Passerat-Palmbach, Imperial College London, United Kingdom
  • Interpretability/Explainable AI | by Henning Müller, HES-SO Valais-Wallis, Switzerland
  • Deep Generative Models | (TBA)

Aside from the theoretical relevance of the keynote sessions, the school also aims to provide a stimulating opportunity for students to put what they have learned into practice.

This year, you can choose:

  • to participate in an awarded competition organised by VISUM and Loggi;
  • or to select one of our mentors to help you solve a small research problem (please be aware that mentorship slots are limited).

Application deadline
Applications are available at visum.inesctec.pt until March 31, 2022. Don't miss it!

Intended audience:

  • MSc and PhD students
  • Researchers and Post-doctoral scholars
  • Industry professionals with (research) interests in CV and ML
  • … and anyone who wants to discover avant-garde topics!

Workshops to get started and to go beyond:

  • CV & ML basics | by VISUM team
  • AI Design Thinking | by Kelwin Fernandes from NILG.AI
  • Storytelling | by Norberto Amaral from Cultiv
Industry day panel:

  • NILG.AI, PT
  • Farfetch, PT/UK
  • ILoF, PT
  • Adapttech, PT
  • Fraunhofer AICOS, PT
  • Equideum Health, USA
  • ASML, NL

Social Program:

Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit it every year. You will have the opportunity to see why so many people are attracted to the city.
Well known for its cellars, the resting place of the famous wine, Porto has much to offer. On Sunday, July 10, we will visit the city and see some of its coolest sites.
To know more about details, please visit our website visum.inesctec.pt or send an email to visum@inesctec.pt.
We are waiting for you!
Read More »

Announcing the 2022 March SPRINGEROPEN EURASIP JIVP’s Free Web conferencing (Thu., the 3rd of March 2022, at 12:30 p.m. CET)

February 22nd, 2022 Daniela Lopez de Luise
Date&Time: March 2022, 3rd at 12:30 p.m. CET [06:30 a.m. New-York] – [12:30 p.m. Paris/Nice] – [6:30 p.m. Beijing]
Title:  Generation and Detection of Deepfakes
Speaker: Antitza Dantcheva (INRIA, France)

To join the free 1-hour webinar, it is required to pre-register at,
https://forms.gle/9JCc6NBgM1x2kZK6A
or through the journal website at,
https://jivp-eurasipjournals.springeropen.com/
Contact: {jana.palinkas, esinu.abadjivor}@springernature.com

Abstract: Generative adversarial networks have made remarkable progress in generating realistic images of high quality. While video generation is the natural sequel, it entails a number of challenges w.r.t. complexity and computation, associated to the simultaneous modeling of appearance, as well as motion. I will talk about our work related to design of generative models, which allow for realistic generation of face images and videos. We have placed emphasis on disentangling motion from appearance and have learned motion representations directly from RGB, without structural representations such as facial landmarks or 3D meshes. In our latest work,  we have aimed at constructing motion as linear displacement of codes in the latent space. Based on this, our model LIA (Latent Image Animator) is able to animate images via navigation in the latent space. While highly intriguing, video generation has thrusted upon us the imminent danger of deepfakes, which can offer unprecedented levels of increasingly realistic manipulated videos. Deepfakes pose an imminent security threat to us all, and to date, deepfakes are able to mislead face recognition systems, as well as humans.  Hence, we design generation and detection methods in parallel. In the second part of my talk, I will discuss our associated work, where in our latest work, we explore attention mechanisms in 3D CNNs.


Short bio: Antitza Dantcheva is a Research Scientist with the STARS team of INRIA Sophia Antipolis, France. Previously, she was a Marie Curie fellow at Inria and a Postdoctoral Fellow at the Michigan State University and the West Virginia University, USA. She received her Ph.D. degree from Telecom ParisTech/Eurecom in image processing and biometrics in 2011. Her research is in computer vision and specifically in designing algorithms that seek to learn suitable representations of the human face in interpretation and generation. She is recipient among others of the prestigious ANR Jeunes chercheuses / Jeunes chercheurs (JCJC) personal grant, the Best Poster Award at IEEE FG 2019, winner of the Bias Estimation in Face Analytics (BEFA) Challenge at ECCV 2018 (in the team with Abhijit Das and Francois Bremond) and Best Paper Award (Runner up) at the IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017).

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult