Aritra Dasgupta

According to our database, Aritra Dasgupta authored at least 40 papers between 2010 and 2024.

Collaborative distances:

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

2024

TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers.

Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta

Vis. Comput., May, 2024

Interpretable Machine Learning for Weather and Climate Prediction: A Survey.

Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong

CoRR, 2024

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting.

Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

2023

Introducing contextual transparency for automated decision systems.

Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich

Nat. Mac. Intell., March, 2023

DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection.

Sudipta Paria, Aritra Dasgupta, Swarup Bhunia

CoRR, 2023

Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data.

Kaustav Bhattacharjee, Aritra Dasgupta

CoRR, 2023

An Exploration of ATPG Methods for Redacted IP and Reconfigurable Hardware.

Jackson Fugate, Greg Stitt, Naren Vikram Raj Masna, Aritra Dasgupta, Swarup Bhunia, Nij Dorairaj, David Kehlet

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers.

Jun Yuan, Aritra Dasgupta

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2023

VALUE: Visual Analytics driven Linked data Utility Evaluation.

Kaustav Bhattacharjee, Aritra Dasgupta

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2023

2022

Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective.

Jun Yuan, Julia Stoyanovich, Aritra Dasgupta

CoRR, 2022

SEVA: Structural Analysis based Security Evaluation of Sequential Locking.

Abdulrahman Alaql, Aritra Dasgupta, Md. Moshiur Rahman, Swarup Bhunia

Proceedings of the 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems, 2022

PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data.

Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya, Aritra Dasgupta

Proceedings of the IEEE Symposium on Visualization for Cyber Security, 2022

2021

Conceptualizing Visual Analytic Interventions for Content Moderation.

Sahaj Vaidya, Jie Cai, Soumyadeep Basu, Azadeh Naderi, Donghee Yvette Wohn, Aritra Dasgupta

Proceedings of the 2021 IEEE Visualization Conference, 2021

2020

Separating the Wheat from the Chaff: Comparative Visual Cues for Transparent Diagnostics of Competing Models.

Aritra Dasgupta, Hong Wang, Nancy O'Brien, Susannah Burrows

IEEE Trans. Vis. Comput. Graph., 2020

The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks.

Aritra Dasgupta, Jorge Poco, Bernice E. Rogowitz, Kyungsik Han, Enrico Bertini, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., 2020

Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities.

Kaustav Bhattacharjee, Min Chen, Aritra Dasgupta

Comput. Graph. Forum, 2020

Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization.

Sahaj Vaidya, Aritra Dasgupta

Proceedings of the 31st IEEE Visualization Conference, 2020

2019

Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization.

Aritra Dasgupta, Robert Kosara, Min Chen

Proceedings of the 16th IEEE Symposium on Visualization for Cyber Security, VizSec 2019, 2019

2018

Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization.

Aritra Dasgupta, Dustin Lockhart Arendt, Lyndsey Franklin, Pak Chung Wong, Kristin A. Cook

Comput. Graph. Forum, 2018

The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections.

Cristian Felix, Aritra Dasgupta, Enrico Bertini

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018

<i>Experts' Familiarity Versus Optimality of Visualization Design</i>: How Familiarity Affects Perceived and Objective Task Performance.

Aritra Dasgupta

Proceedings of the Cognitive Biases in Visualizations., 2018

2017

Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods.

Aritra Dasgupta, Joon-Yong Lee, Ryan Wilson, Robert A. Lafrance, Nick Cramer, Kristin A. Cook, Samuel H. Payne

IEEE Trans. Vis. Comput. Graph., 2017

Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations.

Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations.

Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists' Visual Analytic Judgments.

Aritra Dasgupta, Susannah Burrows, Kyungsik Han, Philip J. Rasch

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study.

Aritra Dasgupta, Jorge Poco, Enrico Bertini, Cláudio T. Silva

Comput. Sci. Eng., 2016

SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces.

Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini

Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

2015

Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison.

Aritra Dasgupta, Jorge Poco, Yaxing Wei, Robert B. Cook, Enrico Bertini, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., 2015

Transmission line fault detection and classification using cross-correlation and k-nearest neighbor.

Aritra Dasgupta, Sudipta Debnath, Arabinda Das

Int. J. Knowl. Based Intell. Eng. Syst., 2015

<i>VIMTEX</i>: A <i>V</i>isualization <i>I</i>nterface for <i>M</i>ultivariate, <i>T</i>ime-Varying, Geological Data <i>E</i>xploration.

Aritra Dasgupta, Robert Kosara, Luke J. Gosink

Comput. Graph. Forum, 2015

2014

Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling.

Jorge Poco, Aritra Dasgupta, 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

SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data.

Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Robert B. Cook, Enrico Bertini, Cláudio T. Silva

Comput. Graph. Forum, 2014

2013

Measuring Visual Complexity of Cluster-Based Visualizations

Brian Duffy, Aritra Dasgupta, Robert Kosara, Simon J. Walton, Min Chen

CoRR, 2013

Measuring Privacy and Utility in Privacy-Preserving Visualization.

Aritra Dasgupta, Min Chen, Robert Kosara

Comput. Graph. Forum, 2013

2012

Conceptualizing Visual Uncertainty in Parallel Coordinates.

Aritra Dasgupta, Min Chen, Robert Kosara

Comput. Graph. Forum, 2012

Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data.

Aritra Dasgupta, Robert Kosara, Luke J. Gosink

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

The importance of tracing data through the visualization pipeline.

Aritra Dasgupta, Robert Kosara

Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors, 2012

2011

Adaptive Privacy-Preserving Visualization Using Parallel Coordinates.

Aritra Dasgupta, Robert Kosara

IEEE Trans. Vis. Comput. Graph., 2011

Privacy-preserving data visualization using parallel coordinates.

Aritra Dasgupta, Robert Kosara

Proceedings of the Visualization and Data Analysis 2011, 2011

2010

Pargnostics: Screen-Space Metrics for Parallel Coordinates.

Aritra Dasgupta, Robert Kosara

IEEE Trans. Vis. Comput. Graph., 2010