Anamaria Crisan

According to our database, Anamaria Crisan authored at least 25 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Eliciting Model Steering Interactions From Users via Data and Visual Design Probes.

Anamaria Crisan, Maddie Shang, Eric Brochu

IEEE Trans. Vis. Comput. Graph., September, 2024

Groot: A System for Editing and Configuring Automated Data Insights.

Sneha Gathani, Anamaria Crisan, Vidya Setlur, Arjun Srinivasan

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Exploring Subjective Notions of Explainability through Counterfactual Visualization of Sentiment Analysis.

Anamaria Crisan, Nathan Butters, Zoe

Proceedings of the IEEE Evaluation and Beyond, 2024

We Don't Know How to Assess LLM Contributions in VIS/HCI.

Anamaria Crisan

Proceedings of the IEEE Evaluation and Beyond, 2024

2023

Human-Centered Approaches for Provenance in Automated Data Science (Dagstuhl Seminar 23372).

Anamaria Crisan, Lars Kotthoff, Marc Streit, Kai Xu

Dagstuhl Reports, 2023

Conversational AI Threads for Visualizing Multidimensional Datasets.

Matt-Heun Hong, Anamaria Crisan

CoRR, 2023

RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations.

Camelia D. Brumar, Gabriel Appleby, Jen Rogers, Teddy Matinde, Lara Thompson, Remco Chang, Anamaria Crisan

CoRR, 2023

Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public.

Joanna Purich, Arjun Srinivasan, Michael Correll, Leilani Battle, Vidya Setlur, Anamaria Crisan

CoRR, 2023

Finding Their Data Voice: Practices and Challenges of Dashboard Users.

Melanie Tory, Lyn Bartram, Brittany Fiore-Gartland, Anamaria Crisan

IEEE Computer Graphics and Applications, 2023

Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work.

Jen Rogers, Anamaria Crisan

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Visualization Prevalence Design Space.

Anamaria Crisan, Shannah Fisher, Jennifer L. Gardy, Tamara Munzner

IEEE Trans. Vis. Comput. Graph., 2022

Visualization in Data Science VDS @ KDD 2022.

Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Interactive Model Cards: A Human-Centered Approach to Model Documentation.

Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Passing the Data Baton : A Retrospective Analysis on Data Science Work and Workers.

Anamaria Crisan, Brittany Fiore-Gartland, Melanie Tory

IEEE Trans. Vis. Comput. Graph., 2021

Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop.

Anamaria Crisan, Brittany Fiore-Gartland

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics.

Anamaria Crisan, Michael Correll

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space.

Anamaria Crisan, Shannah Fisher, Jennifer L. Gardy, Tamara Munzner

CoRR, 2020

Divining Insights: Visual Analytics Through Cartomancy.

Andrew M. McNutt, Anamaria Crisan, Michael Correll

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Adjutant: an R-based tool to support topic discovery for systematic and literature reviews.

Anamaria Crisan, Tamara Munzner, Jennifer L. Gardy

Bioinform., 2019

A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT.

Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner

Bioinform., 2019

Uncovering Data Landscapes through Data Reconnaissance and Task Wrangling.

Anamaria Crisan, Tamara Munzner

Proceedings of the 30th IEEE Visualization Conference, 2019

2018

How to Evaluate an Evaluation Study? Comparing and Contrasting Practices in Vis with Those of Other Disciplines : Position Paper.

Anamaria Crisan, Madison A. Elliott

Proceedings of the 2018 IEEE Evaluation and Beyond, 2018

2016

On Regulatory and Organizational Constraints in Visualization Design and Evaluation.

Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner

Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, 2016

2012

JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data.

Andrew Roth, Jiarui Ding, Ryan D. Morin, Anamaria Crisan, Gavin Ha, Ryan Giuliany, Ali Bashashati, Martin Hirst, Gulisa Turashvili, Arusha Oloumi, Marco A. Marra, Sam Aparicio, Sohrab P. Shah

Bioinform., 2012

2010

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

Rodrigo Goya, Mark G. F. Sun, Ryan D. Morin, Gillian Leung, Gavin Ha, Kimberley C. Wiegand, Janine Senz, Anamaria Crisan, Marco A. Marra, Martin Hirst, David G. Huntsman, Kevin P. Murphy, Sam Aparicio, Sohrab P. Shah

Bioinform., 2010