May 2021 - Infovis - infovis.org

CFP: Workshop on Provenance and Visualization (ProvViz) - part of the Provenance Week 2021 (fully online)
by Kai Xu 04 May '21

04 May '21

Call For Participation: Workshop on Provenance and Visualization (ProvViz) 21 July 2021 (Part of the Provenance Week 2021 - fully online) https://iitdbgroup.github.io/ProvenanceWeek2021/provviz.html The aim of this workshop is to encourage exchange between the provenance and visualization communities. During the workshop, we will introduce the latest developments in provenance analysis from the visualization community, and try to address research challenges that are relevant for both communities. It is part of Provenance Week 2021, which is a fully online event. All Provenance Week 2021 participants are welcome to join. There is an option to submit a one-page abstract before the workshop if you would like to propose a topic or research question to be discussed at the workshop. - Abstract Submission deadline: June 8th, 2021 - Author Notification: June 22nd, 2021 The LNCS format is recommended and please select the "ProvViz" track (which will be set up soon) when submitting the abstract in EasyChair (https://easychair.org/conferences/?conf=pw2021) The workshop lasts half a day (morning of 21 July 2021), and will start with a keynote by Bill Howe (please see the information below). After that, participants will form groups to discuss a particular area or research question based on their shared interest. Finally, each group will report back their discussion results and collaboration plan after the workshop. Keynote from Bill Howe, University of Washington Bio: Bill Howe is Associate Professor in the Information School and Adjunct Associate Professor in the Allen School of Computer Science & Engineering and the Department of Electrical Engineering. His research interests are in data management, machine learning, and visualization, particularly as applied in the physical and social sciences. As Founding Associate Director of the UW eScience Institute, Dr. Howe played a leadership role in the Moore-Sloan Data Science Environment program through a $32.8 million grant awarded jointly to UW, NYU, and UC Berkeley, and founded UW’s Data Science for Social Good Program. With support from the MacArthur Foundation, NSF, and Microsoft, Howe directs UW’s participation in the Cascadia Urban Analytics Cooperative. He founded the UW Data Science Masters Degree, serving as its inaugural Program Chair, and created a first MOOC on data science that attracted over 200,000 students. His research has been featured in the Economist and Nature News, and he has authored award-winning papers in conferences across data management, machine learning, and visualization. He has a Ph.D. in Computer Science from Portland State University and a Bachelor’s degree in Industrial & Systems Engineering from Georgia Tech. Regards, Workshop Organizers Eli T. Brown (DePaul University) Marc Streit (Johannes Kepler University Linz) John Wenskovitch (Virginia Tech) Kai Xu (Middlesex University)

1 0

ESANN 2021 deadline extension
by Michel Verleysen 04 May '21

04 May '21

ESANN 2021 - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 6-7-8 October 2021 https://www.esann.org Extended deadline for submissions Due to numerous requests the deadline to submit papers to the ESANN 2021 conference has been extended to May 17, 2021. Please note that no further extension will be given. Looking forward to seeing you at ESANN 2021, The organizing committee. ======================================================== 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 ========================================================

1 0

1st CfP: Machine Learning from User Interactions (MLUI) 2021 Workshop at IEEE VIS
by John Wenskovitch 03 May '21

03 May '21

*Call for Participation:* Machine Learning from User Interactions (MLUI) workshop at IEEE VIS 2021 The Machine Learning from User Interactions (MLUI) workshop is back for a 4th year. In this workshop, we seek to bring together researchers to share their knowledge and build collaborations at the intersection of the Machine Learning and Visualization fields, with a focus on learning from user interaction. Rather than focusing on what visualization can do to support machine learning (as in current Explainable AI research), this workshop seeks contributions on *how machine learning can support visualization*. Such support incorporates human-centric sensemaking processes, user-driven analytical systems, and gaining insight from data. Our intention in this workshop is to generate open discussion about how we currently learn from user interaction, how to build intelligent visualization systems, and how to proceed with future research in this area. We hope to foster discussion regarding systems, interaction models, and interaction techniques. MLUI 2021 largely plans to continue the momentum in this research area that the previous workshops have initiated. This year, we plan to accept both short and long papers jointly in the same submission block. Full papers have a length of 5-10 pages (not including references), while short papers are 2-4 pages (plus references). Short papers are intended to capture either (1) limited aspects of a larger work that fit our call or (2) late-breaking work not yet mature enough for a full paper submission. The option of submitting a short paper replaces the posters track that we previously offered at MLUI. Submissions will be reviewed by a committee of reviewers that we will organize. This committee will include the workshop committee members. The size of the committee will be determined by the number of submissions, such that each submission is reviewed by at least 2 committee members. Both full and short paper metadata (author information, title, university, etc.) as well as the submissions themselves will be posted to the workshop website in advance of the event. Workshop papers will be archived on IEEE Xplore following the conference. *Website:* https://learningfromusersworkshop.github.io/ *Submission deadline:* July 30, 2021 *Author notification:* August 15, 2021 *Workshop dates:* TBD, held with IEEE VIS (October 24-29, 2021)

1 0