- Infovis - infovis.org

University of Calgary - Tenure-Track Chair Position in Data Integration and Information Visualization in Digital Health
by Wesley Willett 25 Apr '24

25 Apr '24

The Department of Computer Science in the Faculty of Science and the O’Brien Institute for Public Health in the Cumming School of Medicine at the University of Calgary (UofC) in Alberta, Canada, are seeking applicants for a Tier II Canada Research Chair (CRC) in Data Integration and Information Visualization in Digital Health. The successful candidate will be appointed at the rank of Assistant Professor (tenure track) in the Faculty of Science. The anticipated start date is January 1, 2025, or mutually agreed upon date. https://careers.ucalgary.ca/jobs/14202257-canada-research-chair-tier-ii-in-… About the University of Calgary. UCalgary is Canada’s entrepreneurial university, located in Canada’s most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences, and entrepreneurial thinking. It is Canada’s leader in the creation of start-ups. For more information, visit ucalgary.ca<https://ucalgary.ca>. About Calgary, Alberta. Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy, and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America.

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ESANN 2024 - 2nd call for papers
by Michel Verleysen 12 Apr '24

12 Apr '24

ESANN 2024 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 9-10-11 October 2024 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 2, 2024. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 7 special sessions will be organized on the following topics: * Informed Machine Learning for Complex Data * Continual Improvement of Deep Neural Networks in The Age of Big Data * Machine learning in distributed, federated and non-stationary environments * Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) * Domain Knowledge Integration in Machine Learning Systems * Trust in Artificial Intelligence: Beyond Interpretability * Aeronautic data analysis ESANN 2024 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in hybrid mode. In-person participation is preferred, however online participation is possible for those who prefer not to travel. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open-air museum. We hope to receive your submission to ESANN 2024 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann@uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann@uclouvain.be ========================================================

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IEEE AIxVR 2025 (1st CfP)
by Hürst, W.O. (Wolfgang) 12 Apr '24

12 Apr '24

================================ IEEE AIxVR 2025 - 1st call for papers 7th International Conference on Artificial Intelligence & extended and Virtual Reality January 27-29, 2025 (Lisbon, Portugal) ================================ Deadline 1st call (technical papers): September 10, 2024 See http://aixvr.org for details. ================================ IEEE AIxVR stands out as a distinctive event that brings together researchers and professionals across the spectrum of Artificial Intelligence, Augmented Reality, Mixed Reality, and Virtual Reality. This event serves as a global platform fostering collaboration between these diverse fields, facilitating the presentation of cutting-edge advancements, identifying emerging research avenues, and collectively shaping the future of these dynamic research domains. === AREAS OF INTEREST ========== + Integration of AI in XR + Innovation at the Intersection of AI and XR: + XR for AI + Technical and Human Challenges + Ethical Considerations in AI-driven XR + Industry Relevance === SUBMISSIONS ========== See http://aixvr.org for details. Conference proceedings will be published by IEEE Computer Society Press and submitted for inclusion in the IEEE Xplore Digital Library. Contributions of distinguished quality will be selected for best paper awards and invited to be extended for a special section in the Computers & Graphics journal (Elsevier) and International Journal of Semantic Computing. === VENUE & DATES ========== The conference will take place from Jan 27-29, 2025, at the Instituto Superior Técnico, University of Lisbon, Portugal.

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BigVis 2024 Special Issue :: 7th Big Data Visual Exploration & Analytics Workshop, VLDB 2024, Guangzhou, China
by Nikos Bikakis 08 Apr '24

08 Apr '24

*** Special Issue *** Authors of selected papers will be invited to submit extended versions of their work to a Special Issue of the Big Data Research Journal, Elsevier (IF: 3.3). __ Call for Papers BigVis 2024 | 7th International Workshop on Big Data Visual Exploration and Analytics 50th International Conference on Very Large Databases (VLDB 2024) August 29 2024, Guangzhou, China https://bigvis.imsi.athenarc.gr/bigvis2024 Held in conjunction with the 50th International Conference on Very Large Databases (VLDB 2024), Guangzhou, China. Information Visualization has been one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, multidimensional, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part. In this context, several traditional problems from Data Management & Mining, Information Visualization, and Human-computer Interaction communities, such as efficient data storage, querying, and indexing to enable visual analytics, as well as new ways and AI techniques for visual presentation of massive data, need to be revisited. For instance, techniques that provide mechanisms for information abstraction, prefetching, sampling, progressive data visualization, and summarization to address problems related to visual information overplotting. Furthermore, it is essential to develop new methods that enhance user comprehension by providing customization options tailored to various user-defined exploration scenarios and preferences. The Big Data Visual Exploration and Analytics workshop (BigVis) aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss, exchange, and disseminate their work. BigVis attempts to attract attention from the research areas of: Data Management & Mining, Information Visualization, Human-Computer Interaction, Machine Learning, and Computer Graphics, and highlight novel works that bridge together these communities. The BigVis 2024 held in conjunction with the 50th International Conference on Very Large Databases (VLDB 2024), Guangzhou, China. Workshop Topics ------------------------------------ In the context of visual exploration and analytics, topics of interest include, but are not limited to: - Visualization, exploration & analytics techniques for various data types; e.g., stream, graph, unstructured - Human-in-the-loop processing - Human-centered databases - Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications - Interactive & human-centered machine learning - Interactive data mining - User-oriented visualization; e.g., recommendation, assistance, personalization - Visualization & knowledge; e.g., storytelling - Progressive analytics - Novel interface & interaction paradigms - Visual representation techniques; e.g., aggregation, sampling, multi-level, filtering - Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc. - Immersive visualization - Interactive computer graphics - High performance, distributed & parallel techniques - Visualization hardware & acceleration techniques - Linked Data & ontologies visualization - Benchmarks for data visualization & analytics - Case & user studies - Systems & tools Submissions ------------------------------------ Regular/Short Research papers [up to 8/4 pages] Work-in-progress papers [up to 4 pages] Vision papers [up to 4 pages] Demo papers [up to 4 pages] Important Dates ------------------------------------ Submission: May 15, 2024 (AoE) Notification: June 30, 2024 Camera-ready: July 15, 2024 Workshop: August 29, 2024 Special Issue ------------------------------------ Authors of selected papers will be invited to submit extended versions of their work to a Special Issue of the Big Data Research Journal, Elsevier (IF: 3.3). Organizing Committee ------------------------------------ Nikos Bikakis, HMU & ATHENA Research Center, Greece Panos K. Chrysanthis, University of Pittsburgh, USA Guoliang Li, Tsinghua University, China George Papastefanatos, ATHENA Research Center, Greece Lingyun Yu, Xi’an Jiaotong–Liverpool University, China (General Chair) -- Assist Prof Nikos Bikakis ATHENA Research Center Athens | Greece www.nbikakis.com

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DIAGRAMS 2024| Second Call for Graduate Symposium
by DIAGRAMS CONFERENCE 05 Apr '24

05 Apr '24

*** Second call for Graduate Symposium: Diagrams 2024 *** 14th International Conference on the Theory and Application of Diagrams September 27 – October 1, 2024 University of Münster, Germany www.diagrams-conference.org/2024 *** Highlights *** - Graduate Symposium - Participation cost support for eligible students - Three Tracks: Main, Philosophy, and Psychology and Education - Best Paper and Best Student Paper awards - Keynote speakers: Mateja Jamnik, Catarina Dutilh Novaes and Barbara Tversky - Graduate Symposium submission deadline May 31, 2024. ***************************************************************** The Diagrams conference provides a united forum for all researchers with an interest in the study of diagrams. The conference fosters multi-disciplinarity and allows researchers from areas such as computer science, mathematics, psychology, philosophy, history (of science, art, etc.), education research, and more to meet and share their perspectives on the theory and application of diagrams. The goal of the Diagrams 2024 Graduate Symposium is twofold. Firstly, the Symposium will provide senior graduate students and recent Masters and Doctoral graduates with the opportunity to present their research. Established researchers will provide feedback and comments on each of the presentations. Secondly, the Symposium will provide students with an opportunity to network with each other as future colleagues. In previous Diagrams Graduate Symposiums, lively and useful discussions have enabled students to receive suggestions about their on-going research and allowed more experienced participants to hear some fresh ideas and view some of the new trends in the field. ***************************************************************** Submission Requirements Submissions that focus on any aspect of diagrams research are welcome. Topics of interest are the same as those given in the calls for papers for the three conference tracks. Students who wish to present their work at the symposium must submit a 3-page report describing: – their thesis topic, – the approach being taken, – the work that has been completed, – the expected contributions of the research, and – any necessary acknowledgements (for example, supervision team and source funding. Students should be the sole author of their submission and the supervisor names should be included in the acknowledgements section. The report must be submitted in Springer LNCS format. More details can be found at: https://diagrams-2024.diagrams-conference.org/calls/graduate-symposium/ Supervisor Support Students who submit to the graduate symposium must ask their main or lead supervisor to submit a short supporting statement, by email to Leonie Bosveld, l.m.bosveld [at] rug.nl The supporting statement should confirm that the supervisor supports the student’s participation in the symposium and briefly explain why the student will benefit. It is the student’s responsibility to ensure that their supervisor submits the supporting statement Participation Support Costs Participants may request fundings. Eligibility requirements: - Student needs to be studying at a US institution - Student needs to actively participate in the grad symposium (e.g. they can give a talk during the main conference, but they would still have to attend the grad symposium event and participate in any mentoring) -- *Publicity Chair, Diagrams Conference 2024* Giulia Ferrari, PhD Mathematics Education University of Torino

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Call for participation WSOM+ 2024
by fmschleif＠googlemail.com 05 Apr '24

05 Apr '24

-- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de << Catch the early bird until 10.04! >> Register now: https://www.forschung.hs-mittweida.de/en/webs/welcome/registration/ Confirmed invited speakers: - John Aldo Lee - University catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM See you - all the best Frank

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ACM UMAP 2024 - 4th Call for Late-Breaking Results and Demos
by Wanling Cai 03 Apr '24

03 Apr '24

* We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-lbr-and-demos/ ACM UMAP 2024 - Call for Late-Breaking Results and Demos ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is sponsored by ACM SIGCHI<https://sigchi.org/> and SIGWEB<https://www.sigweb.org/>. User Modeling Inc.<https://um.org/>, as the core Steering Committee, oversees the conference organization. ACM UMAP operates under the ACM Conference Code of Conduct<https://www.acm.org/about-acm/policy-against-harassment>. The proceedings, published by ACM, will be part of the ACM Digital Library. ACM UMAP 2024 invites Late-Breaking Results (LBR) papers as well as Demonstrations (demos) of innovative UMAP-based systems (including research prototypes). The topics for these submissions are the same as the ones included in the Call for Full and Short Papers<https://www.um.org/umap2024/call-for-full-and-short-papers/>. However, their scope and timing is different. In particular, although short papers (from the main track) and the LBR papers of this call have the same maximum length, LBR papers are expected to present innovative ideas that are being explored and have already shown some promising results. It is also a dissemination channel for new research directions. Mature results which have already gone through experimental validation are more suitable for the general call, either as a full or short paper. Thus, rejected papers from the main track are not expected to be a valuable contribution as an LBR paper unless their contents are revised to address the scope of this track. Note also that LBR papers are to be presented physically during the conference in a poster format, allowing for more informal discussions on the ideas shared. Demos are intended to present systems that have been used to achieve the research outcomes presented as full and short papers. Thus, we highly recommend authors of accepted full and short papers to also prepare a submission for a demo of their system to be showcased at the conference in the LBR and Demo session. ** Important Dates ** * Submission: April 18, 2024 * Notification: May 9 2024 * Camera-ready Submission (TAPS system): May 16, 2024 * Conference: July 1 – 4, 2024 Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth)<https://www.timeanddate.com/time/zones/aoe> time. ** Submission ** All submissions must be written in English. Papers should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the “UMAP24 Late Breaking Results and Demo Papers” track ** Length and Formatting ** -- Late-Breaking Results Format -- * Page Limits. Up to 7 pages, plus up to 2 additional pages for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). * Proceedings. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation. Physically presented as a poster during the conference. * Description. LBRs are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of UMAP. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. In case that papers rejected in the main track (i.e. submitted as full or short papers) are submitted to this track, they should be revised not only to take into account the comments made to help improve the paper, but to fulfill the scope of the LBR, which emphasizes novelty of ideas. This is also valid for papers that have been recommended as an LBR when rejected in the main track. -- Demos Format -- * Page Limits *. Up to 5 pages, plus up to 1 additional page for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2024. * Supporting Material *. Video or external material demonstrating the system. * Proceedings *. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation * . Physically presented as a demo plus as a poster during the conference. * Description *. Demos will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and get valuable feedback from the community, especially for those papers that have been presented in the main track. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). *Non-Anonymity.* Submissions will be reviewed single-masked (i.e., authors’ names should be included in the papers) thus there is no need to be anonymized before submission. *Template for the Research Description.* Following the ACM Publication Workflow<https://www.acm.org/publications/taps/word-template-workflow>, all authors should submit manuscripts for review in the new ACM single-column format. Instructions for authors are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM’s instructions for preparing your article with LaTeX<https://authors.acm.org/proceedings/production-information/preparing-your-a…>. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM’s instructions for preparing your article with Overleaf<https://authors.acm.org/proceedings/production-information/overleaf>. * Word. Please carefully follow the ACM’s instructions for preparing your article with Microsoft Word<https://authors.acm.org/proceedings/production-information/preparing-your-a…> Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport(a)aptaracorp.com<mailto:acmtexsupport@aptaracorp.com> for LaTeX and Microsoft Word inquiries. * Accessibility.* Authors are strongly encouraged to provide “alt text” (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author’s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures<https://authors.acm.org/journals/accessibility-recommendations-for-publishi…>. ** Review Process & Camera-ready Submission ** * Review * Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. The ACM Code of Ethics<https://ethics.acm.org/> gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minority communities. Further, reviewers will be explicitly asked to consider whether the research was conducted in compliance with professional ethical standards and applicable regulatory guidelines. Failure to do so could lead to a (desk-)rejection. *Camera-ready Information.* Accepted papers will be subject to further revision to meet the requirements of the camera-ready format required by ACM. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. Instructions for preparing the camera-ready versions of accepted papers will be provided after acceptance. This might include instructions to prepare a video of the accepted contribution. Camera-ready versions of accepted papers will be later submitted using ACM’s new production platform<https://www.acm.org/publications/proceedings-template> where authors will be able to review PDF and HTML output formats before publication. ** Registration and Presentation Policy ** Each accepted paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted paper must be presented in person to be included in the conference adjunct proceedings, published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. During the conference, all categories will be presented at the poster reception, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. *Grants and Support* To help students and early career researchers attend ACM UMAP 2024, we are able to provide several grants for participants at ACM UMAP 2024. * Category 1: Discounted Registration Rates * Category 2: Gary Marsden Travel Awards (GMTA) * Category 3: ACM UMAP 2024 Grants More information can be found in https://www.um.org/umap2024/grants-and-support/. Please refer to the website information, to learn the eligibility and application process for each category. ** Late-Breaking Results and Demos Chairs ** * Bamshad Mobasher, DePaul University, USA * Hanna Hauptmann, Utrecht University, Netherlands * Olga C. Santos, Universidad Nacional de Educacion a Distancia (UNED), Spain Contact information: umap2024-lbr at um.org

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[REMINDER - FUNDED PHD POSITION AT TU VIENNA] ViSual ANalytics for Event-based Diffusion on Networks @ TU Wien f/m/d (30-40h) DL 15/04
by Arleo, Alessio 02 Apr '24

02 Apr '24

** FUNDED PHD POSITION AT TU VIENNA - DL 15/04** [Funded PhD Position] ViSual ANalytics for Event-based Diffusion on Networks @ TU Wien f/m/d (30-40h) We are hiring a talented PhD candidate in an international project on the visual analytics of complex diffusion processes over temporal networks. You will work in the context of SANE, a project held by TU Vienna (Austria), the University of Cologne (Germany) and the University of Newcastle (United Kingdom). This project arrangement gives you unique career opportunities, including student exchanges abroad, regular meetings with researchers from the other institutions participating to the project. We are looking for a PhD candidate to work from the TU Wien, at the Institute of Visual Computing and Human-Centered Technology, in the Research Unit of Visual Analytics. We offer a position as project assistant (prae-doc) limited to 3 years for 30 hours/week (that can beex-tended to 40). Gross annual (monthly) salary of Euro 43,650 (2,464.80) according to FWF regulations. Pandemics, computer malware attacks, misinformation campaigns – all of these phenomena have one thing in common: some kind of “information” (a pathogen, a virus, fake news) that spreads across an underlying structure of elements interconnected between each other by some kind of relationship (physical contacts, public WiFi, social networks). In Computer Science, such structures are known as graphs or networks – and have been extensively researched. Within this formalization, the phenomena described above are referred to as diffusion processes, and their dynamics have been studied and researched to obtain models that allow researchers and institutions predict, mitigate, and generally understand such complex events. Visual Analytics (VA) showed its potential in communicating and investigating information diffusion processes over networks. Diffusion processes are highly dynamic and stochastic phenomena. To this end, VA needs to tackle two challenges: representing the progression on the underlying dynamic network structure and capturing the uncertainty of the process. The majority of existing VA approaches approximate the problem by imposing a discrete time structure to the input data and disregarding uncertainties. We strive to be among the first to systematically explore the design space of VA for event-based information diffusion with uncertainty. We investigate promising but currently under-represented research trends in VA with innovative solutions and approaches, to contribute to the current body of knowledge in the field and open new and exciting research questions. Wanna know more? Check the project description and complete job posting at https://www.cvast.tuwien.ac.at/projects/sane Deadline for applications: 15 April 2024 Expected start: May/June 2024 Questions? You can reach me at a.arleo(a)tue.nl

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Postdoc position in Machine Learning and Visual Analytics - University of Montpellier, France. (Deadline: May 1st 2024)
by Arnaud Sallaberry 29 Mar '24

29 Mar '24

Dear colleagues, The ADVANSE team at LIRMM / University of Montpellier (France) is pleased to announce an opening for a postdoc position (20 months) in Machine Learning and Visual Analytics, focusing on adaptation of cities to climate change. ===Project description=== The adaptation of cities to climate change is an urgency that local authorities must address. To support their efforts, a better knowledge of the climatic specificities of the built environments but also of the climatic experience of city dwellers is necessary. To this end, the French ANR Project PICOPATT (Urban PICOclimatic PATTerns), in collaboration with the CRENAU Team (AAU), introduces the notion of urban picoclimate and proposes to study this notion from a scientific and operational perspective. This project aims at producing a methodology for the analysis of urban picoclimatic conditions based on mobile metrology, machine learning and visualization, deducing picoclimatic patterns in different urban fabrics from the collected data and to test them against the perceptions and uses of city dwellers to establish a typology of urban picoclimates and transforming this knowledge into operational tools for promoting the adaptation of cities to climate change by the development of existing conditions and anticipation through urban projects. The postdoc will contribute to one or more sub-projects. ===Profile=== PhD in computer science, machine learning and visualization, with good programming skills (ideally Python and/or web technologies). Previous experience with geographical data time series is a plus, as well as familiarity with data science and/or visualization modern libraries (scikit-learn, Pytorch, D3.js…). Depending on the project, you will be responsible for producing new methodologies, experimenting them, and disseminating the results at conferences and in journal articles. The language of the lab is French or English. French is not required. ===Work place and environment=== The Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) is a major multi-disciplinary French research center located in the South of France. It is affiliated with the University of Montpellier and the French National Center for Scientific Research (CNRS). The research activities carried out by the ADVANSE team (ADVanced Analytics for data SciencE) are in the field of the analysis of large databases in order to extract new knowledge. They relate to the following three areas: Data mining, Visual Analytics and Machine learning. The ADVANSE team, in its three axes, is developing work on both theoretical and experimental bases to address the associated issues. The postdoctoral fellow will participate to the collaboration with the AAU laboratory and will also carry out assignments in Nantes to work directly with the experts. ===Duration and dates=== 20 months. Full time. Preferred starting date: October 1st 2024, but sooner or later is also possible. ===Application process=== Please send via email to sandra.bringay(a)lirmm.fr, maximilien.servajean(a)lirmm.fr, arnaud.sallaberry(a)lirmm.fr: - your CV - a research statement (what you like and want to do) - the contact details for two reference letters. Application will be assessed on a rolling basis (positions open until it they are filled)

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[CfP][Springer MTAP] Deadline extension (April, 15): Special Issue on Heritage Preservation in the Digital Age
by Valerie Gouet 27 Mar '24

27 Mar '24

[Apologies if you receive multiple copies of this CfP] *** Call for Papers Special Issue at Multimedia Tools and Applications, Springer Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction *** [ https://link.springer.com/journal/11042/updates/26502650 | https://link.springer.com/journal/11042/updates/26502650 ] *** Aims and Scope This special issue focuses on analyzing, processing and valorizing all types of data related to cultural heritage, including tangible and intangible heritage. As stated by UNESCO, cultural heritage provides societies with a wealth of resources inherited from the past, created in the present for the benefit of future generations. The massive digitization of historical analogue resources and production of born digital documents provide us with large volumes of varied multimedia heritage data (images, maps, text, video, 3D objects, multi-sensor data, etc.), which represent an extremely rich heritage that can be exploited in a wide variety of fields, from research in social sciences and computational humanities to land use and territorial policies, including urban modeling, digital simulation, archaeology, tourism, education, culture preservation, creative media and entertainment. In terms of research in computer science, artificial intelligence, and digital humanities, they address challenging problems related to the diversity, specificity or volume of the media, the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in the corresponding sub-fields of machine learning, signal processing, mono/multi-modal techniques and human-machine interaction. The objective of this special issue is to present and discuss the latest and most significant trends on analysis, understanding and promotion of heritage contents, focusing on advances on machine learning, signal processing, mono/multi-modal techniques, and human-machine interaction. We welcome research contributions for (but not limited to) the following topics: * Monomodal analysis: image, text, video, 3D, music, sensor data and structured referentials * Information retrieval for multimedia heritage * AI assisted archaeology and heritage data processing * Multi-modal deep learning and time series analysis for heritage data * Heritage modeling, visualization, and virtualization * Smart digitization and reconstruction of heritage data * Open heritage data and bench-marking The scope of targeted applications is extensive and includes: * Analysis, archaeometry of artifacts * Diagnosis and monitoring for restoration and preventive conservation * Geosciences / Geomatics for cultural heritage * Education * Smart and sustainable tourism * Urban planning * Digital Twins *** Important Dates * Submission deadline: 31 March 2024 ---> 15 April 2024 * Review period: 16 April - 30 July 2024 * Notification: 31 July 2024 * Author revision deadline: 15 October 2024 * Final notification: 31 October 2024 *** Guest Editors * Valerie Gouet-Brunet, IGN-ENSG, University of Gustave Eiffel, France ( valerie.gouet(a)ign.fr ) * Ronak Kosti, Piscsart AI Lab, Germany ( ronakfau(a)gmail.com ) * Li Weng, School of Information Technology, Zhejiang Financial College, China ( lweng(a)zfc.edu.cn ) *** Submission Guidelines Authors should prepare their manuscript according to the Instructions for Authors available from the Multimedia Tools and Applications website. Authors should submit through the online submission site at [ https://www.editorialmanager.com/mtap/default.aspx | https://www.editorialmanager.com/mtap/default.aspx ] and select “SI 1250- Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction” when they reach the “Article Type” step in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. SUMAC 2023. Please note that the authors of selected papers presented at workshop SUMAC2023 (ACM Multimedia 2023) are invited to submit an extended version of their contributions by taking into consideration both the reviewers’ comments on their conference paper, and the feedback received during presentation at the conference. It is worth clarifying that the extended version is expected to contain a substantial scientific contribution, e.g., in the form of new algorithms, experiments or qualitative/quantitative comparisons, and that neither verbatim transfer of large parts of the conference paper nor reproduction of already published figures will be tolerated. The extended versions of SUMAC2023 papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this special issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor in Chief. -- Valerie Gouet-Brunet Senior researcher / DR1 Ministère de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel / IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/

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