Submissions are Open – Call for Papers – InMed 2024

InMed 2024: 12th International Conference on Innovation in Medicine & Healthcare

19-21 June, 2024 | Madeira, Portugal

http://inmed-24.kesinternational.org/submission.php

Part of KES Smart Digital Futures hybrid conference which groups AMSTA-24, IDT-24, HCIS-24, InMed-24, SEEL-24 and STS-24 in one venue

http://sdf-24.kesinternational.org/

Aim

The KES International Conference on Innovation in Medicine and Healthcare (KES-InMed-24) will gather a multi-disciplinary group consisting of researchers and engineers, managers, students and practitioners from the medical arena, to discuss the ways that innovation, knowledge exchange and enterprise can be applied to issues relating to medicine, surgery, healthcare and the issues of an ageing population.

 
A central theme of the conference will be Smart Medical and Healthcare Systems which will cover the ways in which modern intelligent systems contribute to the solution of problems faced by healthcare and medical practitioners today, addressing the application of these systems through all of the strands of the event.

Dates, Conference and Publication

•       Submission Deadline: 15 January 2024

•       Acceptance Notification: 19 February 2024

•       Camera Ready Submission: 11 March 2024

•       Presentation at Conference: 19-21 June 2024

•       Publication: Springer; Series on Smart Innovation, Systems and Technologies

Scope

Innovation in Medicine & Healthcare is a conference covering innovative approaches to meeting the needs of both practitioners and patients internationally. Papers are invited from both the medical profession and from whose supporting them. 

Topics (although this list is not intended to be exhaustive) might include: –

• Smart medical devices & systems
• Innovation in Regenerative Medicine
• Gene Therapy
• Sensors
• Medical Diagnostics and Biomarkers
• Service Delivery
• Technology Enabled Healthcare Services
• Advanced Medical Materials Technology
• Telehealth
• Reglatory frameworks for new technology
• Computer-aided diagnosis
• Computer-assisted surgery
• Biomedical modeling and simulation
• Macine learning and deep learning in medicine and healthcare
• Medical internet of things
• Big data in healthcare

Workshop on Smart Medical Systems

We are pleased to announce the Smart Medical and Healthcare Systems workshop to take place within the Innovation in Medicine and Healthcare Conference. 

The aim of the workshop is to gather a mulit-disciplinary group of experts and interested non-experts consisting of smart systems researchers and engineers, practitioners from the medical arena, managers and students to discuss the ways that intelligent systems and smart technology can be applied to issues relating to medicine, surgery and health care.

Contributions are sought on a wide range of applicable topics including the following:-

Clinical Decision Support Systems
Electronic Health Records and other Hospital Information Systems
Big Data Analytics in Healthcare
mHealth and Telemedicine Systems
Personal Health Coaches
Digital Patient Modelling and Cohort Analysis
Data Mining, Machine learning, Deep Learning and Predictive Modelling
Visual and Predictive Analytics
Disease Characterization and Multi-scale Modelling
Cognitive Radiology
Imaging and Genetics Biomarker Discovery
Data Analysis and Decision Support for Personalized Medicine
Decision Support and Data Analysis for Biomedical Research and Clinical Trials

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.

For details of the sessions accepted so far see here:
http://inmed-24.kesinternational.org/cmsISdisplay.php

IS01: Smart Techniques in Healthcare Subtitle: Technology for Ageing Populations

IS02: Digital Architecture and Economics for Internet of Things, Big data, Cloud and Mobile IT in Healthcare

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  

para Impulse Data & AI 2024

December 17th, 2023 Daniela Lopez de Luise

16-17 Enero, 2024

 ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

16 – 17 Enero, 2024 💥 DATOS E INTELIGENCIA ARTIFICIAL💥 Únete a nosotros mientras exploramos la próxima ola de Inteligencia Artificial (IA), incluyendo la Inteligencia Artificial Generativa (Gen AI), y explorar los avances en torno a su implementación en entornos de producción, junto con el Análisis de Datos. 🌟 Oportunidad única: Una ocasión para que entusiastas, profesionales  y principiantes en el aprendizaje automático se reúnan y exploren el  fascinante mundo de la Inteligencia Artificial Generativa. 🎓 Aprende de los mejores: Escucha a líderes que están desafiando  los límites de la Inteligencia Artificial con estudios de casos  del mundo real y obtén una visión detrás de escena de su trabajo. 🔧 Talleres prácticos: Elige entre talleres para  obtener una experiencia práctica en la creación de tus propias aplicaciones  o para perfeccionar aún más la configuración de tu modelo. 🤝 Networking y 👥: Disfruta de charlas de calidad,  aperitivos ligeros y networking con colegas practicantes,  investigadores y líderes empresariales. Ver Programa Completo Gracias

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October 8th for Gaze Meets ML Workshop @NeurIPS 2023

December 16th, 2023 Daniela Lopez de Luise

Dear all,

After numerous requests, we decided to push the deadline for the paper submission to October 8th, 2023.  This is going to be the final submission date. 

The workshop aims to bring together a diverse group of experts in the areas of neuroscience, machine learning, and reinforcement learning to discuss the strong potential of visual attention in various tasks spanning from data collection and annotation to causality, and medical imaging reading. Please find more information in the Call for Papers below.  

Sincerely, 

Dario Zanca on behalf of the organizing committee

********************************************************************************

The 2023 Gaze Meets ML workshop in conjunction with NeurIPS 2023

********************************************************************************

Webpage: https://gaze-meets-ml.github.io/

Twitter Handle: https://twitter.com/Gaze_Meets_ML 

Submission site: https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML 

!!FINAL Submission deadline: October 8th, 2023!!

Location: New Orleans Convention Center, New Orleans, LA

** Overview **

We are excited to host the second edition of Gaze Meets ML workshop in December, 2023 in conjunction with NeurIPS 2023. The workshop will take place in-person at New Orleans! We’ve got a great lineup of speakers. 

** Background **

Eye gaze has proven to be a cost-efficient way to collect large-scale physiological data that can reveal the underlying human attentional patterns in real life workflows, and thus has long been explored as a signal to directly measure human-related cognition in various domains  Physiological data (including but not limited to eye gaze) offer new perception capabilities, which could be used in several ML domains, e.g., egocentric perception, embodiedAI, NLP, etc. They can help infer human perception, intentions, beliefs, goals and other cognition properties that are much needed for human-AI interactions and agent coordination. In addition, large collections of eye-tracking data have enabled data-driven modeling of human visual attention mechanisms, both for saliency or scanpath prediction, with twofold advantages: from the neuroscientific perspective to understand biological mechanisms better, from the AI perspective to equip agents with the ability to mimic or predict human behavior and improve interpretability and interactions.

With the emergence of immersive technologies, now more than any time there is a need for experts of various backgrounds (e.g., machine learning, vision, and neuroscience communities) to share expertise and contribute to a deeper understanding of the intricacies of cost-efficient human supervision signals (e.g., eye-gaze) and their utilization towards bridging human cognition and AI in machine learning research and development. The goal of this workshop is to bring together an active research community to collectively drive progress in defining and addressing core problems in gaze-assisted machine learning.

** Call for Papers **

We welcome submissions that present aspects of eye-gaze in regards to cognitive science, psychophysiology and computer science, propose methods on integrating eye gaze into machine learning, and application domains from radiology, AR/VR, autonomous driving, etc. that introduce methods and models utilizing eye gaze technology in their respective domains. 

Topics of interest include but are not limited to the following: 

• Understanding the neuroscience of eye-gaze and perception.
• State of the art in incorporating machine learning and eye-tracking.
• Annotation and ML supervision with eye-gaze.
• Attention mechanisms and their correlation with eye-gaze.
• Methods for gaze estimation and prediction using machine learning.
• Unsupervised ML using eye gaze information for feature importance/selection.
• Understanding human intention and goal inference.
• Using saccadic vision for ML applications.
• Use of gaze for human-AI interaction and agent coordination in multi-agent environments.
• Eye gaze used for AI, e.g., NLP, Computer Vision, RL, Explainable AI, Embodied AI, Trustworthy AI.
• Ethics of Eye Gaze in AI
• Gaze applications in cognitive psychology, radiology, neuroscience, AR/VR, autonomous cars, privacy, etc.

** Submission Guidelines **

The workshop will feature two tracks for submission: a full, archival proceedings track with accepted papers published in the Proceedings for Machine Learning Research (PMLR); and a non-archival, extended abstract track. Submissions to either track will undergo the same double-blind peer review. Full proceedings papers can be up to 15 pages and extended abstract papers can be up to 8 pages (both excluding references and appendices). Authors of accepted extended abstracts (non-archival submissions) retain full copyright of their work, and acceptance of such a submission to Gaze Meets ML does not preclude publication of the same material in another archival venue (e.g., journal or conference).

Please submit your paper at https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML 

** Awards and Funding **

Possibly award prizes for best papers or cover registration fees of presenting authors with a focus on underrepresented minorities.

** Important dates for Workshop paper submission **

• Final paper submission deadline: October 8th, 2023
• Reviewing starts: September 30, 2023
• Reviewing ends: October 16, 2023
• Notification of acceptance: October 27, 2023
• Workshop: December 16 2023 (in person)

** Organizing Committee **

Amarachi Mbakwe (Virginia Tech)

Joy Wu (Stanford, IBM Research)

Dario Zanca (FAU Erlangen-Nürnberg)

Elizabeth Krupinski (Emory University)

Satyananda Kashyap (IBM Research)

Alex Karargyris (MLCommons)

** Contact **

Organizing Committee gaze.neurips@gmail.com 

– – – – – – – – – –
Dario Zanca, Ph.D.

Machine Learning and Data Analytics Lab
Department Artificial Intelligence in Biomedical Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Carl-Thiersch-Str. 2b, D-91052 Erlangen

Room 01.016
Phone number: +49 9131 85 20296 / +49 017686090120
Email: dario.zanca@fau.de
Website: https://www.mad.tf.fau.de/person/dario-zanca/
– – – – – – – – – –

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Special Issue on Discovery Science 2023 – Machine Learning Journal (Springer)

December 14th, 2023 Daniela Lopez de Luise

The Machine Learning Journal is currently accepting submissions for its Special Issue on Discovery Science 2023. This special issue calls for research papers that address all aspects of discovery science, a research field that focuses on developing and analysing methods for discovering scientific knowledge using machine learning, data mining, intelligent data analysis, and big data analytics. The journal also welcomes papers that apply these methods in various domains.

Submissions addressing all aspects of discovery science are welcome. Research papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data, as well as heterogeneous, continuous or imprecise data are encouraged. Research papers in the fields of computational scientific discovery, mining scientific data, computational creativity and discovery informatics are also welcome. Finally, submissions addressing applications of artificial intelligence in different domains of science, including biomedicine and life sciences, materials science, astronomy, physics, chemistry, as well as social sciences are encouraged.

Possible topics include, but are not limited to:

• Artificial intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science
• Knowledge discovery and data mining
• Causal modelling
• AutoML, meta-learning, planning to learn
• Machine learning and high-performance computing, grid and cloud computing
• Literature-based discovery
• Ontologies for science, including the representation and annotation of datasets and domain knowledge
• Explainable AI, interpretability of machine learning and deep learning models
• Process discovery and analysis
• Computational creativity
• Anomaly detection and outlier detection
• Data streams, evolving data, change detection, concept drift, model maintenance
• Network analysis
• Time-series analysis
• Learning from complex data
• Graphs, networks, linked and relational data
• Spatial, temporal and spatiotemporal data
• Unstructured data, including textual and web data
• Multimedia data
• Data and knowledge visualization
• Human-machine interaction for knowledge discovery and management
• Evaluation of models and predictions in discovery setting
• Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics)Life sciences (e.g., systems biology/systems medicine)Environmental sciences
• Natural and social sciences

Papers which, at the time of submission, have appeared in the proceedings of Discovery Science 2023 or other relevant conferences will be considered provided that the submission constitutes a significant contribution beyond the conference paper containing at least 30% of new material (e.g., extensions of the method, additional technical results, etc.) as compared to the conference version of the paper. The guest editors (accounting for reviewers’ comments) will make the decision on whether the difference is significant enough to warrant publication. The journal version should include a short paragraph explaining how it extends the previously published conference paper.

Schedule

– Paper submission deadline: March 4, 2024
– First notification of acceptance: May 27, 2024
– Deadline for revised submissions: July 15, 2024
– Final notification of acceptance: August 30, 2024
– Expected publication date (online): October/November 2024

For further details see https://www.springer.com/journal/10994/updates/26362698

Guest editors

Rita P. Ribeiro, University of Porto & INESC TEC, Portugal
Albert Bifet, University of Waikato, New Zealand
Ana Carolina Lorena, Aeronautics Institute of Technology, Brazil

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The 18th IEEE International Conference on Automatic Face and Gesture Recognition 2024

December 14th, 2023 Daniela Lopez de Luise

Join Us at the International Workshop on Synthetic Data for Face and Gesture Analysis (SD-FGA) .I am thrilled to share the news about the upcoming International Workshop on Synthetic Data for Face and Gesture Analysis (SD-FGA), held in conjunction with IEEE FG 2024 in Istanbul, Turkey.  Save the date – May 27 to 31, 2024.

The SD-FGA workshop is set to be a groundbreaking event where experts and enthusiasts in the field gather to delve into the latest advancements in synthetic data for face and gesture analysis. Synthetic data has become a game-changer in the realm of data science and computer vision. At SD-FGA, we'll explore how synthetic data can be used to help face and gesture analysis, presenting new opportunities and solutions for challenges in the field.
The paper submission deadline is March 17, 2024.

 Event Details:  Location: Istanbul, Turkey  Dates: May 27 to 31, 2024  Website:  https://sites.google.com/view/sd-fga2024

Don't miss out on this unparalleled opportunity to be part of a transformative dialogue in the world of face and gesture analysis. See you in Istanbul!  #SD_FGA #IEEEFG2024 #FaceAnalysis #GestureAnalysis #SyntheticData #TechInnovation #Istanbul2024

….

Thanks and Regards,

Dr. Deepak Kumar Jain (SMIEEE)

School of Artificial Intelligence

Dalian University of Technology

Dalian, China

Email: dkj@ieee.org

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