Log in first for optimal use of all functions!

    Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling (Unknown language)

    In: EuroVis Workshop on Visual Analytics (EuroVA) ; 1-5  ; 2019

    How to get this title?

    Check access
    Download
    Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
    Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

    Export, share and cite

    Manually labeling data sets is a time-consuming and expensive task that can be accelerated by interactive machine learning and visual analytics approaches. At the core of these approaches are strategies for the selection of candidate instances to label. We introduce degree-of-interest (DOI) functions as atomic building blocks to formalize candidate selection strategies. We introduce a taxonomy of DOI functions and an approach for the visual analysis of DOI functions, which provide novel complementary views on labeling strategies and DOIs, support their in-depth analysis and facilitate their interpretation. Our method shall support the generation of novel and better explanation of existing labeling strategies in future.

    Table of contents conference proceedings

    The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

    1
    Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling
    Bernard, Jürgen / Hutter, Marco / Ritter, Christian / Lehmann, Markus / Sedlmair, Michael / Zeppelzauer, Matthias et al. | 2019
    7
    TourDino: A Support View for Confirming Patterns in Tabular Data
    Eckelt, Klaus / Adelberger, Patrick / Zichner, Thomas / Wernitznig, Andreas / Streit, Marc et al. | 2019
    13
    Deep Learning Inverse Multidimensional Projections
    Espadoto, Mateus / Rodrigues, Francisco Caio Maia / Hirata, Nina S. T. / Hirata Jr., Roberto / Telea, Alexandru C. et al. | 2019
    19
    Visualization of Rubik's Cube Solution Algorithms
    Steinparz, Christian Alexander / Hinterreiter, Andreas P. / Stitz, Holger / Streit, Marc et al. | 2019
    25
    On Quality Indicators for Progressive Visual Analytics
    Angelini, Marco / May, Thorsten / Santucci, Giuseppe / Schulz, Hans-Jörg et al. | 2019
    31
    Quantifying Uncertainty in Multivariate Time Series Pre-Processing
    Bors, Christian / Bernard, Jürgen / Bögl, Markus / Gschwandtner, Theresia / Kohlhammer, Jörn / Miksch, Silvia et al. | 2019
    37
    Moving Together: Towards a Formalization of Collective Movement
    Buchmüller, Juri / Cakmak, Eren / Andrienko, Natalia / Andrienko, Gennady / Jolles, Jolle W. / Keim, Daniel A. et al. | 2019
    43
    Visually Analyzing Latent Accessibility Clusters of Urban POIs
    Kamw, Farah / AL-Dohuki, Shamal / Zhao, Ye / Yang, Jing / Ye, Xinyue / Chen, Wei et al. | 2019
    49
    Contextualized Analysis of Movement Events
    Chen, Siming / Andrienko, Gennady / Andrienko, Natalia / Doulkeridis, Christos / Koumparos, Athanasios et al. | 2019
    55
    Interactive Pattern Analysis of Multiple T-Maze Data
    Bechtold, Fabrizia / Abraham, Hrvoje / Splechtna, Rainer / Matkovic, Krešimir et al. | 2019
    61
    Visual Analytics of Event Data using Multiple Mining Methods
    Adnan, Muhammad / Nguyen, Phong H. / Ruddle, Roy A. / Turkay, Cagatay et al. | 2019
    67
    Visualizing Event Sequences as Oscillating Streams
    Weaver, Chris / Etemadpour, Ronak et al. | 2019
    73
    SurviVIS: Visual Analytics for Interactive Survival Analysis
    Corvò, Alberto / Caballero, Humberto Simon Garcia / Westenberg, Michel A. et al. | 2019
    78
    Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare
    Müller, Juliane / Zebralla, Veit / Wiegand, Susanne / Oeltze-Jafra, Steffen et al. | 2019
    83
    Visual Analytics of Conversational Dynamics
    Seebacher, Daniel / Fischer, Maximilian T. / Sevastjanova, Rita / Keim, Daniel A. / El-Assady, Mennatallah et al. | 2019

    How to get this title?

    Check access
    Download
    Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
    Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

    Export, share and cite

    Feedback