7 citations · 10 across the 6 of their papers we have counts for
6 papers
ReVise: A Human-AI Interface for Incremental Algorithmic Recourse
Kaustav Bhattacharjee, Jun Yuan, Aritra Dasgupta
The recent adoption of artificial intelligence in socio-technical systems raises concerns about the black-box nature of the resulting decisions in fields such as hiring, finance, a…
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty +1
Net load forecasting is crucial for energy planning and facilitating informed decision-making regarding trade and load distributions. However, evaluating forecasting models' perfor…
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty +1
Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution. However, assessing the performance of forecasting models across diverse…
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers
Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam +1
Ranking schemes drive many real-world decisions, like, where to study, whom to hire, what to buy, etc. Many of these decisions often come with high consequences. For example, a uni…
Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data
Kaustav Bhattacharjee, Aritra Dasgupta
The open data ecosystem is susceptible to vulnerabilities due to disclosure risks. Though the datasets are anonymized during release, the prevalence of the release-and-forget model…
PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data
Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya +1
Open data sets that contain personal information are susceptible to adversarial attacks even when anonymized. By performing low-cost joins on multiple datasets with shared attribut…