Pargnostics: Screen-Space Metrics for Parallel Coordinates. - Aritra Dasgupta 001; Robert Kosara (IEEE Trans. Vis. Comput. Graph., 2010)

Privacy-preserving data visualization using parallel coordinates. - Aritra Dasgupta 001; Robert Kosara (Visualization and Data Analysis, 2011)

Adaptive Privacy-Preserving Visualization Using Parallel Coordinates. - Aritra Dasgupta 001; Robert Kosara (IEEE Trans. Vis. Comput. Graph., 2011)

The importance of tracing data through the visualization pipeline. - Aritra Dasgupta 001; Robert Kosara (BELIV, 2012)

Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data. - Aritra Dasgupta 001; Robert Kosara; Luke J. Gosink (LDAV, 2012)

Conceptualizing Visual Uncertainty in Parallel Coordinates. - Aritra Dasgupta 001; Min Chen 001; Robert Kosara (Comput. Graph. Forum, 2012)

Measuring Privacy and Utility in Privacy-Preserving Visualization. - Aritra Dasgupta 001; Min Chen 001; Robert Kosara (Comput. Graph. Forum, 2013)

Measuring Visual Complexity of Cluster-Based Visualizations - Brian Duffy; Aritra Dasgupta 001; Robert Kosara; Simon J. Walton; Min Chen 001 (CoRR, 2013)

SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data. - Jorge Poco; Aritra Dasgupta 001; Yaxing Wei; William W. Hargrove; Christopher R. Schwalm; Robert B. Cook; Enrico Bertini; Cláudio T. Silva (Comput. Graph. Forum, 2014)

Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. - Jorge Poco; Aritra Dasgupta 001; Yaxing Wei; William W. Hargrove; Christopher R. Schwalm; Deborah N. Huntzinger; Robert B. Cook; Enrico Bertini; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2014)

VIMTEX: A Visualization Interface for Multivariate, Time-Varying, Geological Data Exploration. - Aritra Dasgupta 001; Robert Kosara; Luke J. Gosink (Comput. Graph. Forum, 2015)

Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison. - Aritra Dasgupta 001; Jorge Poco; Yaxing Wei; Robert B. Cook; Enrico Bertini; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2015)

SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces. - Josua Krause; Aritra Dasgupta 001; Jean-Daniel Fekete; Enrico Bertini (LDAV, 2016)

Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. - Aritra Dasgupta 001; Jorge Poco; Enrico Bertini; Cláudio T. Silva (Comput. Sci. Eng., 2016)

Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists' Visual Analytic Judgments. - Aritra Dasgupta 001; Susannah Burrows; Kyungsik Han; Philip J. Rasch (CHI, 2017)

A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. - Josua Krause; Aritra Dasgupta 001; Jordan Swartz; Yindalon Aphinyanaphongs; Enrico Bertini (VAST, 2017)

Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations. - Paolo Tamagnini; Josua Krause; Aritra Dasgupta 001; Enrico Bertini (HILDA@SIGMOD, 2017)

Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods. - Aritra Dasgupta 001; Joon-Yong Lee; Ryan Wilson; Robert A. Lafrance; Nick Cramer; Kristin A. Cook; Samuel H. Payne (IEEE Trans. Vis. Comput. Graph., 2017)

Experts' Familiarity Versus Optimality of Visualization Design: How Familiarity Affects Perceived and Objective Task Performance. - Aritra Dasgupta 001 (Cognitive Biases in Visualizations, 2018)

The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections. - Cristian Felix; Aritra Dasgupta 001; Enrico Bertini (UIST, 2018)

Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization. - Aritra Dasgupta 001; Dustin Lockhart Arendt; Lyndsey Franklin; Pak Chung Wong; Kristin A. Cook (Comput. Graph. Forum, 2018)

Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization. - Aritra Dasgupta 001; Robert Kosara; Min Chen 001 (VizSEC, 2019)

Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization. - Sahaj Vaidya; Aritra Dasgupta 001 (IEEE VIS (Short Papers), 2020)

Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities. - Kaustav Bhattacharjee; Min Chen 001; Aritra Dasgupta 001 (Comput. Graph. Forum, 2020)

The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks. - Aritra Dasgupta 001; Jorge Poco; Bernice E. Rogowitz; Kyungsik Han; Enrico Bertini; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2020)

Separating the Wheat from the Chaff: Comparative Visual Cues for Transparent Diagnostics of Competing Models. - Aritra Dasgupta 001; Hong Wang; Nancy O'Brien; Susannah Burrows (IEEE Trans. Vis. Comput. Graph., 2020)

Conceptualizing Visual Analytic Interventions for Content Moderation. - Sahaj Vaidya; Jie Cai 003; Soumyadeep Basu; Azadeh Naderi; Donghee Yvette Wohn; Aritra Dasgupta 001 (IEEE VIS (Short Papers), 2021)

PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. - Kaustav Bhattacharjee; Akm Islam; Jaideep Vaidya; Aritra Dasgupta 001 (VizSec, 2022)

Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective. - Jun Yuan; Julia Stoyanovich; Aritra Dasgupta 001 (CoRR, 2022)

VALUE: Visual Analytics driven Linked data Utility Evaluation. - Kaustav Bhattacharjee; Aritra Dasgupta 001 (HILDA@SIGMOD, 2023)

A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers. - Jun Yuan; Aritra Dasgupta 001 (HILDA@SIGMOD, 2023)

Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data. - Kaustav Bhattacharjee; Aritra Dasgupta 001 (CoRR, 2023)

Introducing contextual transparency for automated decision systems. - Mona Sloane; Ian Solano-Kamaiko; Jun Yuan; Aritra Dasgupta 001; Julia Stoyanovich (Nat. Mac. Intell., 2023)

Characterizing Interaction Uncertainty in Human-Machine Teams. - John E. Wenskovitch; Corey K. Fallon; Kate Miller; Aritra Dasgupta 001 (ICHMS, 2024)

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. - Kaustav Bhattacharjee; Soumya Kundu; Indrasis Chakraborty; Aritra Dasgupta 001 (ISGT, 2024)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey. - Ruyi Yang; Jingyu Hu 002; Zihao Li; Jianli Mu; Tingzhao Yu; Jiangjiang Xia; Xuhong Li 002; Aritra Dasgupta 001; Haoyi Xiong (CoRR, 2024)

Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models. - Kaustav Bhattacharjee; Soumya Kundu; Indrasis Chakraborty; Aritra Dasgupta 001 (CoRR, 2024)

Fooling SHAP with Output Shuffling Attacks. - Jun Yuan; Aritra Dasgupta 001 (CoRR, 2024)

TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers. - Jun Yuan; Kaustav Bhattacharjee; Akm Zahirul Islam; Aritra Dasgupta 001 (Vis. Comput., 2024)

ReVise: A Human-AI Interface for Incremental Algorithmic Recourse. - Kaustav Bhattacharjee; Jun Yuan; Aritra Dasgupta 001 (CoRR, 2025)