Aritra Dasgupta

41 papers A* 2C 2Misc 1Journal 25Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ReVise: A Human-AI Interface for Incremental Algorithmic Recourse. CoRR Kaustav Bhattacharjee, Jun Yuan, Aritra Dasgupta
2024	—	`conf`	Characterizing Interaction Uncertainty in Human-Machine Teams. ICHMS John E. Wenskovitch, Corey K. Fallon, Kate Miller, Aritra Dasgupta
2024	J	`jnl`	Fooling SHAP with Output Shuffling Attacks. CoRR Jun Yuan, Aritra Dasgupta
2024	—	`conf`	Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. ISGT Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
2024	J	`jnl`	Interpretable Machine Learning for Weather and Climate Prediction: A Survey. CoRR Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong
2024	J	`jnl`	TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers. Vis. Comput. Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta
2024	J	`jnl`	Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models. CoRR Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
2023	—	`conf`	A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers. HILDA@SIGMOD Jun Yuan, Aritra Dasgupta
2023	J	`jnl`	Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. CoRR Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
2023	J	`jnl`	Introducing contextual transparency for automated decision systems. Nat. Mac. Intell. Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
2023	J	`jnl`	Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data. CoRR Kaustav Bhattacharjee, Aritra Dasgupta
2023	J	`jnl`	TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers. CoRR Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta
2023	—	`conf`	VALUE: Visual Analytics driven Linked data Utility Evaluation. HILDA@SIGMOD Kaustav Bhattacharjee, Aritra Dasgupta
2022	C	`conf`	PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. VizSec Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya, Aritra Dasgupta
2022	J	`jnl`	PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. CoRR Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya, Aritra Dasgupta
2022	J	`jnl`	Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective. CoRR Jun Yuan, Julia Stoyanovich, Aritra Dasgupta
2021	—	`conf`	Conceptualizing Visual Analytic Interventions for Content Moderation. IEEE VIS (Short Papers) Sahaj Vaidya, Jie Cai, Soumyadeep Basu, Azadeh Naderi, Donghee Yvette Wohn, Aritra Dasgupta
2020	—	`conf`	Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization. IEEE VIS (Short Papers) Sahaj Vaidya, Aritra Dasgupta
2020	J	`jnl`	Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities. Comput. Graph. Forum Kaustav Bhattacharjee, Min Chen, Aritra Dasgupta
2020	J	`jnl`	Separating the Wheat from the Chaff: Comparative Visual Cues for Transparent Diagnostics of Competing Models. IEEE Trans. Vis. Comput. Graph. Aritra Dasgupta, Hong Wang, Nancy O'Brien, Susannah Burrows
2020	J	`jnl`	The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks. IEEE Trans. Vis. Comput. Graph. Aritra Dasgupta, Jorge Poco, Bernice E. Rogowitz, Kyungsik Han, Enrico Bertini, Cláudio T. Silva
2019	C	`conf`	Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization. VizSEC Aritra Dasgupta, Robert Kosara, Min Chen
2018	J	`jnl`	Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization. Comput. Graph. Forum Aritra Dasgupta, Dustin Lockhart Arendt, Lyndsey Franklin, Pak Chung Wong, Kristin A. Cook
2018	A*	`conf`	The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections. UIST Cristian Felix, Aritra Dasgupta, Enrico Bertini
2017	—	`conf`	A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. VAST Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini
2017	A*	`conf`	Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists' Visual Analytic Judgments. CHI Aritra Dasgupta, Susannah Burrows, Kyungsik Han, Philip J. Rasch
2017	J	`jnl`	Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods. IEEE Trans. Vis. Comput. Graph. Aritra Dasgupta, Joon-Yong Lee, Ryan Wilson, Robert A. Lafrance, Nick Cramer, Kristin A. Cook, Samuel H. Payne
2017	—	`conf`	Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations. HILDA@SIGMOD Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini
2016	J	`jnl`	Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. Comput. Sci. Eng. Aritra Dasgupta, Jorge Poco, Enrico Bertini, Cláudio T. Silva
2016	—	`conf`	SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces. LDAV Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini
2015	J	`jnl`	Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison. IEEE Trans. Vis. Comput. Graph. Aritra Dasgupta, Jorge Poco, Yaxing Wei, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
2014	J	`jnl`	SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data. Comput. Graph. Forum Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
2014	J	`jnl`	Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. IEEE Trans. Vis. Comput. Graph. Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Deborah N. Huntzinger, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
2013	J	`jnl`	Measuring Privacy and Utility in Privacy-Preserving Visualization. Comput. Graph. Forum Aritra Dasgupta, Min Chen, Robert Kosara
2013	J	`jnl`	Measuring Visual Complexity of Cluster-Based Visualizations CoRR Brian Duffy, Aritra Dasgupta, Robert Kosara, Simon J. Walton, Min Chen
2012	J	`jnl`	Conceptualizing Visual Uncertainty in Parallel Coordinates. Comput. Graph. Forum Aritra Dasgupta, Min Chen, Robert Kosara
2012	—	`conf`	Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data. LDAV Aritra Dasgupta, Robert Kosara, Luke J. Gosink
2012	—	`conf`	The importance of tracing data through the visualization pipeline. BELIV Aritra Dasgupta, Robert Kosara
2011	J	`jnl`	Adaptive Privacy-Preserving Visualization Using Parallel Coordinates. IEEE Trans. Vis. Comput. Graph. Aritra Dasgupta, Robert Kosara
2011	Misc	`conf`	Privacy-preserving data visualization using parallel coordinates. Visualization and Data Analysis Aritra Dasgupta, Robert Kosara
2010	J	`jnl`	Pargnostics: Screen-Space Metrics for Parallel Coordinates. IEEE Trans. Vis. Comput. Graph. Aritra Dasgupta, Robert Kosara