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2020 – today
- 2024
[j29]Katelyn Morrison
, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer:
The Impact of Imperfect XAI on Human-AI Decision-Making. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-39 (2024)- [j28]Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer:
Dead or Alive: Continuous Data Profiling for Interactive Data Science. IEEE Trans. Vis. Comput. Graph. 30(1): 197-207 (2024) - [c49]Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CHI 2024: 451:1-451:18 - [c48]Violet Turri, Katelyn Morrison, Katherine-Marie Robinson, Collin Abidi, Adam Perer, Jodi Forlizzi, Rachel Dzombak:
Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches. FAccT 2024: 1494-1514 - [c47]Emily Wall, Laura E. Matzen, Mennatallah El-Assady, Peta Masters, Helia Hosseinpour, Alex Endert, Rita Borgo, Polo Chau, Adam Perer, Harald T. Schupp, Hendrik Strobelt, Lace M. K. Padilla:
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. PacificVis 2024: 22-31 - [i19]Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CoRR abs/2402.13437 (2024) - [i18]Unnseo Park, Venkatesh Sivaraman, Adam Perer:
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models. CoRR abs/2404.07148 (2024) - [i17]Yuqi Zhang, Adam Perer, Will Epperson:
Guided Statistical Workflows with Interactive Explanations and Assumption Checking. CoRR abs/2410.00365 (2024) - 2023
- [j27]Ángel Alexander Cabrera, Adam Perer, Jason I. Hong:
Improving Human-AI Collaboration With Descriptions of AI Behavior. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-21 (2023) - [j26]Katelyn Morrison, Donghoon Shin, Kenneth Holstein, Adam Perer:
Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-37 (2023) - [j25]Katelyn Morrison, Mayank Jain, Jessica Hammer, Adam Perer:
Eye into AI: Evaluating the Interpretability of Explainable AI Techniques through a Game with a Purpose. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-22 (2023) - [j24]Ángel Alexander Cabrera, Marco Túlio Ribeiro, Bongshin Lee, Robert DeLine, Adam Perer, Steven Mark Drucker:
What Did My AI Learn? How Data Scientists Make Sense of Model Behavior. ACM Trans. Comput. Hum. Interact. 30(1): 1-27 (2023) - [c46]Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer:
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CHI 2023: 419:1-419:14 - [c45]Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. CHI 2023: 754:1-754:18 - [c44]Katelyn Morrison, Ankita Mehra, Adam Perer:
Shared Interest...Sometimes: Understanding the Alignment between Human Perception, Vision Architectures, and Saliency Map Techniques. CVPR Workshops 2023: 3776-3781 - [c43]Marius Hogräfer, Dominik Moritz, Adam Perer, Hans-Jörg Schulz:
Combining Degree of Interest Functions and Progressive Visualization. IEEE VIS (Short Papers) 2023: 251-255 - [i16]Ángel Alexander Cabrera, Adam Perer, Jason I. Hong:
Improving Human-AI Collaboration With Descriptions of AI Behavior. CoRR abs/2301.06937 (2023) - [i15]Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. CoRR abs/2302.00096 (2023) - [i14]Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer:
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CoRR abs/2302.04732 (2023) - [i13]Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer:
The Impact of Imperfect XAI on Human-AI Decision-Making. CoRR abs/2307.13566 (2023) - [i12]Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer:
Dead or Alive: Continuous Data Profiling for Interactive Data Science. CoRR abs/2308.03964 (2023) - 2022
- [j23]Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer:
Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum 41(3): 145-155 (2022) - [c42]Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. Conference on Designing Interactive Systems 2022: 454-470 - [c41]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CHI 2022: 52:1-52:18 - [c40]Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. CHI 2022: 162:1-162:22 - [c39]Venkatesh Sivaraman, Yiwei Wu, Adam Perer:
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces. IUI 2022: 418-432 - [c38]Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan:
Visualization in Data Science VDS @ KDD 2022. KDD 2022: 4894-4895 - [i11]Venkatesh Sivaraman, Yiwei Wu, Adam Perer:
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces. CoRR abs/2202.02641 (2022) - [i10]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CoRR abs/2204.02310 (2022) - [i9]Hong Shen, Ángel Alexander Cabrera, Adam Perer, Jason I. Hong:
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains. CoRR abs/2204.10814 (2022) - [i8]Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions". CoRR abs/2204.13872 (2022) - [i7]Yuzhe Lu, Adam Perer:
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning. CoRR abs/2210.08979 (2022) - 2021
- [j22]Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong, Adam Perer:
Discovering and Validating AI Errors With Crowdsourced Failure Reports. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 425:1-425:22 (2021) - [c37]Denis R. Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
Diachronic Analysis of the Evolution of COVID-19 Scientific Literature. AMIA 2021 - [c36]Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao:
VDS'21: Visualization in Data Science. KDD 2021: 4149-4150 - [c35]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. NAACL-HLT (Demonstrations) 2021: 106-115 - [i6]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. CoRR abs/2103.11029 (2021) - [i5]Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong, Adam Perer:
Discovering and Validating AI Errors With Crowdsourced Failure Reports. CoRR abs/2109.11690 (2021) - [i4]Donghoon Shin, Sachin Grover, Kenneth Holstein, Adam Perer:
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment. CoRR abs/2111.02626 (2021) - 2020
- [j21]Hong Shen, Haojian Jin, Ángel Alexander Cabrera, Adam Perer, Haiyi Zhu, Jason I. Hong:
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 153:1-153:22 (2020) - [j20]Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. IEEE Trans. Vis. Comput. Graph. 26(1): 863-873 (2020) - [c34]Laura Beth Fulton, Qian Wang, Jessica Hammer, Ja Young Lee, ZhenDong Yuan, Adam Perer:
Getting Playful with Explainable AI: Games with a Purpose to Improve Human Understanding of AI. CHI Extended Abstracts 2020: 1-8 - [c33]Beatriz Sousa Santos, Adam Perer:
Visualization for Data Scientists: How specific is it? Eurographics (Education Papers) 2020: 39-43 - [c32]Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar:
Regularizing Black-box Models for Improved Interpretability. NeurIPS 2020
2010 – 2019
- 2019
- [j19]Adam Perer, Shixia Liu:
Visualization in Data Science. IEEE Computer Graphics and Applications 39(5): 18-19 (2019) - [j18]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. IEEE Trans. Vis. Comput. Graph. 25(1): 353-363 (2019) - [c31]Joseph Chee Chang, Nathan Hahn, Adam Perer, Aniket Kittur:
SearchLens: composing and capturing complex user interests for exploratory search. IUI 2019: 498-509 - [c30]Luana Micallef, Hans-Jörg Schulz, Marco Angelini, Michaël Aupetit, Remco Chang, Jörn Kohlhammer, Adam Perer, Giuseppe Santucci:
The Human User in Progressive Visual Analytics. EuroVis (Short Papers) 2019: 19-23 - [i3]Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. CoRR abs/1908.00387 (2019) - 2018
- [j17]Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer:
Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Trans. Vis. Comput. Graph. 24(1): 142-151 (2018) - [c29]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP 2018: 368-370 - [i2]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. CoRR abs/1804.09299 (2018) - 2017
- [j16]Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, Adam Perer:
Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus. IEEE Trans. Vis. Comput. Graph. 23(6): 1636-1649 (2017) - 2016
- [j15]Josua Krause, Adam Perer, Harry Stavropoulos:
Supporting Iterative Cohort Construction with Visual Temporal Queries. IEEE Trans. Vis. Comput. Graph. 22(1): 91-100 (2016) - [c28]Jesus Caban, Adam Perer, Uba Backonja, Jeremy L. Warner, Shira Fischer:
Workshop on Visual Analytics in Healthcare. AMIA 2016 - [c27]Josua Krause, Adam Perer, Kenney Ng:
Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models. CHI 2016: 5686-5697 - [i1]Josua Krause, Adam Perer, Enrico Bertini:
Using Visual Analytics to Interpret Predictive Machine Learning Models. CoRR abs/1606.05685 (2016) - 2015
- [j14]Zhiyuan Zhang, David Gotz, Adam Perer:
Iterative cohort analysis and exploration. Inf. Vis. 14(4): 289-307 (2015) - [j13]Adam Perer, Fei Wang, Jianying Hu:
Mining and exploring care pathways from electronic medical records with visual analytics. J. Biomed. Informatics 56: 369-378 (2015) - [c26]Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga:
Towards Cognitive Automation of Data Science. AAAI 2015: 4268-4269 - [c25]Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu:
Synthesizing Analytic Evidence to Refine Care Pathways. MIE 2015: 70-74 - [e4]Theresia Gschwandtner, Adam Perer, Jürgen Bernard:
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare, VAHC 2015, Chicago, Illinois, USA, October 25, 2015. ACM 2015, ISBN 978-1-4503-3671-0 [contents] - 2014
- [j12]Jeffrey Heer, Adam Perer:
Orion: A system for modeling, transformation and visualization of multidimensional heterogeneous networks. Inf. Vis. 13(2): 111-133 (2014) - [j11]Jimeng Sun, Candace D. McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua C. Denny, Jacqueline Kirby, Thomas A. Lasko, Alexander Saip, Bradley A. Malin:
Predicting changes in hypertension control using electronic health records from a chronic disease management program. J. Am. Medical Informatics Assoc. 21(2): 337-344 (2014) - [j10]David Gotz, Fei Wang, Adam Perer:
A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data. J. Biomed. Informatics 48: 148-159 (2014) - [j9]Josua Krause, Adam Perer, Enrico Bertini:
INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data. IEEE Trans. Vis. Comput. Graph. 20(12): 1614-1623 (2014) - [j8]Charles D. Stolper, Adam Perer, David Gotz:
Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics. IEEE Trans. Vis. Comput. Graph. 20(12): 1653-1662 (2014) - [c24]Adam Perer, Fei Wang:
Frequence: interactive mining and visualization of temporal frequent event sequences. IUI 2014: 153-162 - [c23]Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu:
Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE 2014: 23-27 - 2013
- [j7]Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi:
The Longitudinal Use of SaNDVis: Visual Social Network Analytics in the Enterprise. IEEE Trans. Vis. Comput. Graph. 19(7): 1095-1108 (2013) - [c22]Adam Perer, David Gotz:
Data-driven exploration of care plans for patients. CHI Extended Abstracts 2013: 439-444 - 2012
- [c21]Adam Perer, David Gotz, Ben Shneiderman, Yuval Shahar, Jeffrey Heer:
Visual Analytics in Healthcare. AMIA 2012 - [c20]Adam Perer, Jimeng Sun:
MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression. AMIA 2012 - [c19]Michael J. Muller, Kate Ehrlich, Tara Matthews, Adam Perer, Inbal Ronen, Ido Guy:
Diversity among enterprise online communities: collaborating, teaming, and innovating through social media. CHI 2012: 2815-2824 - [c18]Adam Perer, Ido Guy:
SaNDVis: visual social network analytics for the enterprise. CSCW (Companion) 2012: 275-276 - [e3]Enrico Bertini, Adam Perer, Heidi Lam, Petra Isenberg, Tobias Isenberg:
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization, Seattle, WA, USA, October 14-15, 2012. ACM 2012, ISBN 978-1-4503-1791-7 [contents] - 2011
- [j6]Enrico Bertini, Heidi Lam, Adam Perer:
Summaries: A special issue on Evaluation for Information Visualization. Inf. Vis. 10(3): 161 (2011) - [c17]Ido Guy, Adam Perer, Tal Daniel, Ohad Greenshpan, Itai Turbahn:
Guess who?: enriching the social graph through a crowdsourcing game. CHI 2011: 1373-1382 - [c16]Ido Guy, Sigalit Ur, Inbal Ronen, Adam Perer, Michal Jacovi:
Do you want to know?: recommending strangers in the enterprise. CSCW 2011: 285-294 - [c15]Michal Jacovi, Ido Guy, Inbal Ronen, Adam Perer, Erel Uziel, Michael Maslenko:
Digital Traces of Interest: Deriving Interest Relationships from Social Media Interactions. ECSCW 2011: 21-40 - [c14]Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi:
Unearthing People from the SaND: Relationship Discovery with Social Media in the Enterprise. ICWSM 2011 - [c13]Jeffrey Heer, Adam Perer:
Orion: A system for modeling, transformation and visualization of multidimensional heterogeneous networks. IEEE VAST 2011: 51-60 - [c12]Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi:
Visual social network analytics for relationship discovery in the enterprise. IEEE VAST 2011: 71-79 - 2010
- [c11]Enrico Bertini, Heidi Lam, Adam Perer:
BELIV'10: beyond time and errors novel evaluation methods for information visualization. CHI Extended Abstracts 2010: 4441-4444 - [c10]Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, Erel Uziel:
Same places, same things, same people?: mining user similarity on social media. CSCW 2010: 41-50 - [p1]Adam Perer:
Finding Beautiful Insights in the Chaos of Social Network Visualization. Beautiful Visualization 2010: 157-173 - [e2]Enrico Bertini, Heidi Lam, Adam Perer:
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization, Atlanta, GA, USA, April 10-11, 2010. ACM 2010, ISBN 978-1-4503-0007-0 [contents]
2000 – 2009
- 2009
- [j5]Adam Perer, Ben Shneiderman:
Integrating Statistics and Visualization for Exploratory Power: From Long-Term Case Studies to Design Guidelines. IEEE Computer Graphics and Applications 29(3): 39-51 (2009) - [j4]Frank van Ham, Adam Perer:
"Search, Show Context, Expand on Demand": Supporting Large Graph Exploration with Degree-of-Interest. IEEE Trans. Vis. Comput. Graph. 15(6): 953-960 (2009) - [c9]Marc A. Smith, Ben Shneiderman, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Vladimir Barash, Cody Dunne, Tony Capone, Adam Perer, Eric Gleave:
Analyzing (social media) networks with NodeXL. C&T 2009: 255-264 - 2008
- [c8]Adam Perer, Ben Shneiderman:
Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis. CHI 2008: 265-274 - [c7]Enrico Bertini, Adam Perer, Catherine Plaisant, Giuseppe Santucci:
BELIV'08: Beyond time and errors: novel evaluation methods for information visualization. CHI Extended Abstracts 2008: 3913-3916 - [c6]Adam Perer:
Using SocialAction to uncover structure in social networks over time. IEEE VAST 2008: 213-214 - [c5]Adam Perer, Ben Shneiderman:
Systematic yet flexible discovery: guiding domain experts through exploratory data analysis. IUI 2008: 109-118 - [e1]Enrico Bertini, Adam Perer, Catherine Plaisant, Giuseppe Santucci:
Proceedings of the BELIV 2008 - BEyond time and errors: novel evaLuation methods for Information Visualization, A Workshop of the ACM CHI 2008 Conference, Florence, Italy, April 5, 2008. ACM 2008, ISBN 978-1-60558-016-6 [contents] - 2006
- [j3]Adam Perer, Ben Shneiderman, Douglas W. Oard:
Using rhythms of relationships to understand e-mail archives. J. Assoc. Inf. Sci. Technol. 57(14): 1936-1948 (2006) - [j2]Adam Perer, Ben Shneiderman:
Balancing Systematic and Flexible Exploration of Social Networks. IEEE Trans. Vis. Comput. Graph. 12(5): 693-700 (2006) - [c4]Adam Perer, Marc A. Smith:
Contrasting portraits of email practices: visual approaches to reflection and analysis. AVI 2006: 389-395 - [c3]Adam Perer:
Making sense of social networks. CHI Extended Abstracts 2006: 1779-1782 - 2005
- [j1]Eric A. Bier, Adam Perer:
Icon Abacus and Ghost Icons. Bull. IEEE Tech. Comm. Digit. Libr. 2(1) (2005) - [c2]Eric A. Bier, Adam Perer:
Icon abacus: positional display of document attributes. JCDL 2005: 289-290 - [c1]Eric A. Bier, Adam Perer:
Icon abacus and ghost icons. JCDL 2005: 404
Coauthor Index
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