activity
20172026
most citedA Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

278 citations · 307 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Explainability and Certification of AI-Generated Educational Assessments

Antoun Yaacoub, Zainab Assaghir, Anuradha Kar

The rapid adoption of generative artificial intelligence (AI) in educational assessment has created new opportunities for scalable item creation, personalized feedback, and efficie…

eess.IV2023★ 3 cited

Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images

Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi +5

Quantifying the distribution and morphology of tau protein structures in brain tissues is key to diagnosing Alzheimer's Disease (AD) and its subtypes. Recently, deep learning (DL)…

eess.SP2020★ 14 cited

MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems

Anuradha Kar

Analyzing the gaze accuracy characteristics of an eye tracker is a critical task as its gaze data is frequently affected by non-ideal operating conditions in various consumer eye t…

cs.CV2018★ 12 cited

Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems

Joseph Lemley, Anuradha Kar, Alexandru Drimbarean +1

Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems such as driver monitoring systems and novel user interfaces. Such systems are requi…

cs.HC2017★ 278 cited

A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

Anuradha Kar, Peter Corcoran

In this paper a review is presented of the research on eye gaze estimation techniques and applications, that has progressed in diverse ways over the past two decades. Several gener…