Aritra Dasgupta
Orcid: 0000-0002-5551-5103
According to our database1,
Aritra Dasgupta
authored at least 50 papers
between 2010 and 2024.
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Bibliography
2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers.
Vis. Comput., May, 2024
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Splitting the Secrets: A Cooperative Trust Model for System-on-Chip Designs with Untrusted IPs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
LISA: A Multi-Layered Iterative Framework for Hardening Obfuscation with Modular Unit Transformations.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
2023
Nat. Mac. Intell., March, 2023
DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection.
CoRR, 2023
Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data.
CoRR, 2023
Proceedings of the 41st IEEE VLSI Test Symposium, 2023
A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2023
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.
CoRR, 2022
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.
Proceedings of the IEEE Symposium on Visualization for Cyber Security, 2022
2021
Proceedings of the 2021 IEEE Visualization Conference, 2021
2020
Separating the Wheat from the Chaff: Comparative Visual Cues for Transparent Diagnostics of Competing Models.
IEEE Trans. Vis. Comput. Graph., 2020
The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks.
IEEE Trans. Vis. Comput. Graph., 2020
Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities.
Comput. Graph. Forum, 2020
Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization.
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.
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.
Comput. Graph. Forum, 2018
The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections.
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.
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.
IEEE Trans. Vis. Comput. Graph., 2017
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.
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.
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.
Comput. Sci. Eng., 2016
SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces.
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.
IEEE Trans. Vis. Comput. Graph., 2015
Transmission line fault detection and classification using cross-correlation and k-nearest neighbor.
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.
Comput. Graph. Forum, 2015
2014
IEEE Trans. Vis. Comput. Graph., 2014
Comput. Graph. Forum, 2014
2013
Comput. Graph. Forum, 2013
2012
Comput. Graph. Forum, 2012
Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors, 2012
2011
IEEE Trans. Vis. Comput. Graph., 2011
Proceedings of the Visualization and Data Analysis 2011, 2011
2010
IEEE Trans. Vis. Comput. Graph., 2010