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Anamaria Crisan
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2020 – today
- 2024
- [j8]Anamaria Crisan
, Maddie Shang, Eric Brochu:
Eliciting Model Steering Interactions From Users via Data and Visual Design Probes. IEEE Trans. Vis. Comput. Graph. 30(9): 6005-6019 (2024) - 2023
- [j7]Melanie Tory
Finding Their Data Voice: Practices and Challenges of Dashboard Users. IEEE Computer Graphics and Applications 43(1): 22-36 (2023) - [c9]Jen Rogers
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work. CHI 2023: 837:1-837:22 - [i11]Jennifer Rogers, Anamaria Crisan:
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work. CoRR abs/2304.02699 (2023) - [i10]Joanna Purich, Arjun Srinivasan, Michael Correll, Leilani Battle, Vidya Setlur, Anamaria Crisan:
Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public. CoRR abs/2306.16513 (2023) - [i9]Anamaria Crisan, Maddie Shang, Eric Brochu:
Eliciting Model Steering Interactions from Users via Data and Visual Design Probes. CoRR abs/2310.09314 (2023) - [i8]Camelia D. Brumar, Gabriel Appleby, Jen Rogers, Teddy Matinde, Lara Thompson, Remco Chang, Anamaria Crisan:
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations. CoRR abs/2310.11562 (2023) - [i7]Matt-Heun Hong, Anamaria Crisan:
Conversational AI Threads for Visualizing Multidimensional Datasets. CoRR abs/2311.05590 (2023) - [i6]Anamaria Crisan, Lars Kotthoff, Marc Streit, Kai Xu:
Human-Centered Approaches for Provenance in Automated Data Science (Dagstuhl Seminar 23372). Dagstuhl Reports 13(9): 116-136 (2023) - 2022
- [j6]Anamaria Crisan, Shannah Fisher, Jennifer L. Gardy, Tamara Munzner
GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Visualization Prevalence Design Space. IEEE Trans. Vis. Comput. Graph. 28(12): 4855-4872 (2022) - [c8]Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani:
Interactive Model Cards: A Human-Centered Approach to Model Documentation. FAccT 2022: 427-439 - [c7]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 - [i5]Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani:
Interactive Model Cards: A Human-Centered Approach to Model Documentation. CoRR abs/2205.02894 (2022) - 2021
- [j5]Anamaria Crisan, Brittany Fiore-Gartland, Melanie Tory
Passing the Data Baton : A Retrospective Analysis on Data Science Work and Workers. IEEE Trans. Vis. Comput. Graph. 27(2): 1860-1870 (2021) - [c6]Anamaria Crisan, Michael Correll:
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. CHI 2021: 600:1-600:16 - [c5]Anamaria Crisan, Brittany Fiore-Gartland:
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop. CHI 2021: 601:1-601:15 - [i4]Anamaria Crisan, Michael Correll:
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. CoRR abs/2101.02244 (2021) - [i3]Anamaria Crisan, Brittany Fiore-Gartland:
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop. CoRR abs/2101.04296 (2021) - 2020
- [c4]Andrew M. McNutt
Divining Insights: Visual Analytics Through Cartomancy. CHI Extended Abstracts 2020: 1-16 - [i2]Anamaria Crisan, Shannah Fisher, Jennifer L. Gardy, Tamara Munzner:
GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space. CoRR abs/2010.11975 (2020)
2010 – 2019
- 2019
- [j4]Anamaria Crisan
Adjutant: an R-based tool to support topic discovery for systematic and literature reviews. Bioinform. 35(6): 1070-1072 (2019) - [j3]Anamaria Crisan
A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT. Bioinform. 35(10): 1668-1676 (2019) - [c3]Anamaria Crisan, Tamara Munzner:
Uncovering Data Landscapes through Data Reconnaissance and Task Wrangling. IEEE VIS (Short Papers) 2019: 46-50 - 2018
- [c2]Anamaria Crisan, Madison A. Elliott:
How to Evaluate an Evaluation Study? Comparing and Contrasting Practices in Vis with Those of Other Disciplines : Position Paper. BELIV 2018: 28-36 - 2016
- [c1]Anamaria Crisan, Jennifer L. Gardy
On Regulatory and Organizational Constraints in Visualization Design and Evaluation. BELIV 2016: 1-9 - [i1]Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner:
On Regulatory and Organizational Constraints in Visualization Design and Evaluation. CoRR abs/1610.10056 (2016) - 2012
- [j2]Andrew Roth
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data. Bioinform. 28(7): 907-913 (2012) - 2010
- [j1]Rodrigo Goya, Mark G. F. Sun, Ryan D. Morin, Gillian Leung, Gavin Ha
SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. Bioinform. 26(6): 730-736 (2010)
Coauthor Index
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