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annotated-papers

Inspired by Aakash Kumar Nain's annotated_research_papers repo.

Papers

2022

  1. MetroSets: Visualizing Sets as Metro Maps | Ben Jacobsen, Markus Wallinger, Stephen Kobourov, Martin Nöllenburg | 2020
  2. DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning | Bruno Schneider, Daniel A. Keim, Mennatallah El-Assady | 2020
  3. Strategies for Reuse and Sharing among Data Scientists in Software Teams | Will Epperson, April Yi Wang, Robert DeLine, Steven M. Drucker | 2022
  4. Perceptual proxies for extracting averages in data visualizations | Lei Yuan, Steve Haroz, Steven Franconeri | 2019
  5. Rethinking the Ranks of Visual Channels | Caitlyn M. McColeman, Fumeng Yang, Timothy F. Brady, Steven Franconeri | 2021
  6. StickyLand: Breaking the Linear Presentation of Computational Notebooks | Zijie J. Wang, Katie Dai, W. Keith Edwards | 2022
  7. Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis | April Yi Wang, Will Epperson, Robert DeLine, Steven M. Drucker | 2022
  8. AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation | Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini | 2021
  9. Boxer: Interactive Comparison of Classifier Results | Michael Gleicher, Aditya Barve, Xinyi Yu, Florian Heimerl | 2020
  10. Symphony: Composing Interactive Interfaces for Machine Learning | Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz | 2022
  11. NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics | Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau | 2022
  12. Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts | Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca Finelli, Remco Chang, Dylan Cashman | 2022
  13. Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work | Chengbo Zheng, Dakuo Wang, April Yi Wang, Xiaojuan Ma | 2022
  14. Fork It: Supporting Stateful Alternatives in Computational Notebooks | Nathaniel Weinman, Titus Barik, Steven M. Drucker, Robert DeLine | 2021
  15. ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics | Daye Kang, Tony Ho, Nicolai Marquardt, Bilge Mutlu, Andrea Bianchi | 2021
  16. Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases | David Munechika, Zijie J. Wang, Jack Reidy, Josh Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau | 2022
  17. Affective Learning Objectives for Communicative Visualizations | Elsie Lee-Robbins, Eytan Adar | 2022
  18. Communicative Visualizations as a Learning Problem | Eytan Adar, Elsie Lee | 2020
  19. Exploring D3 Implementation Challenges on Stack Overflow | Leilani Battle, Danni Feng, Kelli Webber | 2022

2021

  1. Design Judgment in Data Visualization Practice | Paul Parsons, Colin M. Gray, Ali Baigelenov, Ian Carr | 2020
  2. Readability and Precision in Pictorial Bar Charts | Drew Skau, Robert Kosara | 2017
  3. Fairness On The Ground: Applying Algorithmic Fairness Approaches To Production Systems | Chloé Bakalar, Renata Barreto, Miranda Bogen, Sam Corbett-Davies, Melissa Hall, Isabel Kloumann, Michelle Lam, Joaquin Quiñonero Candela, Manish Raghavan, Joshua Simons, Jonathan Tannen, Edmund Tong, Kate Vredenburgh, Jiejing Zhao | 2021
  4. Visualizing Transportation Flows with Mode Split using Glyphs | Ignacio Pérez-Messina, Eduardo Graells-Garrido | 2019
  5. The Design Space of SparkWords | Richard Brath, Peter MacMurchy, Ebad Banissi | 2019
  6. Learning Vis Tools: Teaching Data Visualization Tutorials | Leo Yu-Ho Lo, Yao Ming, Huamin Qu | 2019
  7. Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop | Anamaria Crisan, Brittany Fiore-Gartland | 2021
  8. ConceptExplorer: Visual Analysis of Concept Drifts in Multi-source Time-series Data | Xumeng Wang, Wei Chen, Jiazhi Xia, Zexian Chen, Dongshi Xu, Xiangyang Wu, Mingliang Xu, Tobias Schreck | 2020
  9. SAX Navigator: Time Series Exploration through Hierarchical Clustering | Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer | 2019
  10. Diagnosing Concept Drift with Visual Analytics (a.k.a. DriftVis) | Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu | 2020
  11. Monitoring and explainability of models in production | Janis Klaise, Arnaud Van Looveren, Clive Cox, Giovanni Vacanti, Alexandru Coca | 2020
  12. Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs | Tom Horak, Philip Berger, Heidrun Schumann, Raimund Dachselt, Christian Tominski | 2020
  13. GUIRO: User-Guided Matrix Reordering | Michael Behrisch, Tobias Schreck, Hanspeter Pfister | 2019
  14. Understanding and Visualizing Data Iteration in Machine Learning (a.k.a. Chameleon) | Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel | 2020
  15. LineSmooth: An Analytical Framework for Evaluating the Effectiveness of Smoothing Techniques on Line Charts | Paul Rosen, Ghulam Jilani Quadri | 2020
  16. Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts | Dae Hyun Kim, Vidya Setlur, Maneesh Agrawala | 2021
  17. TimeElide: Visual Analysis of Non-Contiguous Time Series Slices | Michael Oppermann, Luce Liu, Tamara Munzner | 2021
  18. Trrack: A Library for Provenance-Tracking in Web-Based Visualizations | Zach Cutler, Kiran Gadhave, Alexander Lex | 2020
  19. Words of Estimative Correlation: Studying Verbalizations of Scatterplots | Rafael Henkin, Cagatay Turkay | 2020
  20. An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets | Jun Yuan, Oded Nov, Enrico Bertini | 2021
  21. How to evaluate data visualizations across different levels of understanding | Alyxander Burns, Cindy Xiong, Steven Franconeri, Alberto Cairo, Narges Mahyar | 2020
  22. Towards a Taxonomy for Evaluating User Engagement in Information Visualization | Narges Mahyar, Sung-Hee Kim, Bum Chul Kwon | 2015
  23. The Curious Case of Combining Text and Visualization | Alvitta Ottley, Aleksandra Kaszowska, R. Jordan Crouser, Evan M. Peck | 2019
  24. Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners | Paul Parsons, Prakash Shukla, Chorong Park | 2021

Notes

  • Notability:
    • Straight lines (Notability > Settings > Handwriting): continue to hold down to straighten a line drawn with the pen or highlighter.
  • GoodNotes:
    • Highlighter:
    • Text:
      • Font: Roboto (Regular).
      • Font size: 12 pt.
      • Color: #222639 (Theme UI).
    • Pen:
      • Color: #D20000.
  • open <filename.pdf> (source).
    • open -a Preview.app <filename.pdf>.
    • open -a "Adobe Acrobat Reader DC.app" <filename.pdf>.
  • Foxit PDF Reader:
    • Typewriter (Text Style):
    • Highlight:
  • PDF Annotation Fixer (website).

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Set of annotated papers.

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