[Ieee_vis] [um] 2nd CfP: Machine Learning from User Interactions Workshop at IEEE VIS 2020

[John Wenskovitch]

Hi!
provisional contract can be found here:


https://teez1.com/saitouneqm/opsmraerisaeiores

-----Original Message-----
On Friday, 10 July 2020, 14:20 wrote:
> Call for Participation:  Machine Learning from User Interactions (MLUI)
> workshop at IEEE VIS 2020
> 
> Workshop Date:  October 25 or 26, 2020
> Workshop URL:  learningfromusersworkshop.github.io [1]
> Conference Status:  IEEE VIS has announced that they will be a fully
> virtual conference this year in response to the COVID outbreak.
> 
> Papers Submission deadline:  July 24, 2020
> Author notification:  August 12, 2020 
> 
> The Machine Learning from User Interactions (MLUI) workshop seeks 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. Further, we hope to extend last year’s
> collaborative creation of a research agenda that explores the future of
> machine learning with user interaction.
> 
> We invite research and position papers between 5 and 10 pages in length
> (NOT including references). All submissions must be formatted according to
> the VGTC conference style template (i.e., NOT the journal style template
> that full papers use). All papers accepted for presentation at the workshop
> will be published and linked from the workshop website. All papers should
> contain full author names and affiliations. These papers are considered
> archival; reuse of the content in a follow-up publication is only permitted
> in a proper journal, and any extended version must extend the original
> paper by at least 30%. If applicable, a link to a short video (up to 5 min.
> in length) may also be submitted. The papers will be juried by the
> organizers and selected external reviewers and will be chosen according to
> relevance, quality, and likelihood that they will stimulate and contribute
> to the discussion. At least one author of each accepted paper needs to
> register for the conference (even if only for the workshop). Papers should
> be submitted to the "VIS 2020 MLUI 2020 [2]" track in PCS under the VGTC
> Society. 
> 
> Relevant topics include but are not limited to:
> 
> 	* How are machine learning algorithms currently learning from user
> interaction, and what other possibilities exist?
> 	* What kinds of interactions can provide feedback to machine learning
> algorithms?
> 	* What can machine learning algorithms learn from interactions?
> 	* Which machine learning algorithms are most applicable in this domain?
> 	* How can machine learning algorithms be designed to enable user
> interaction and feedback?
> 	* How can visualizations and interactions be designed to exploit machine
> learning algorithms?
> 	* How can visualization system architectures be designed to support
> machine learning?
> 	* How should we manage conflicts between the user's intent and the data or
> machine learning algorithm capabilities?
> 	* How can we evaluate systems that incorporate both machine learning
> algorithms and user interaction together?
> 	* How can machine learning and user interaction together make both
> computation and user cognition more efficient?
> 	* How can we support the sensemaking process by learning from user
> interaction?
> 
> Organizers
> 
> 	* John Wenskovitch, Pacific Northwest National Lab and Virginia Tech
> 	* Michelle Dowling, Grand Valley State University
> 	* Eli T. Brown, DePaul University
> 	* Kris Cook, Pacific Northwest National Lab
> 	* Ab Mosca, Tufts University
> 
> 	* Conny Walchshofer, Johannes Kepler University Linz
> 	* Marc Streit, Johannes Kepler University Linz
> 	* Kai Xu, Middlesex University
> 
> Steering Committee
> 
> 	* Chris North, Virginia Tech
> 	* Remco Chang, Tufts University
> 	* Alex Endert, Georgia Tech
> 
> 	* David H. Rogers, Los Alamos National Lab
> 
> 
> 
> Links:
> ------
> [1] http://learningfromusersworkshop.github.io
> [2] https://new.precisionconference.com/submissions
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