56 citations · 79 across the 6 of their papers we have counts for
6 papers
Rationalization for Explainable NLP: A Survey
Sai Gurrapu, Ajay Kulkarni, Lifu Huang +3
Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. How…
Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management
Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz +3
The quality of service in healthcare is constantly challenged by outlier events such as pandemics (i.e. Covid-19) and natural disasters (such as hurricanes and earthquakes). In mos…
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool
Ajay Kulkarni, Olga Gkountouna
We present a demonstration of REACT, a new Real-time Educational AI-powered Classroom Tool that employs EDM techniques for supporting the decision-making process of educators. REAC…
Foundations of data imbalance and solutions for a data democracy
Ajay Kulkarni, Deri Chong, Feras A. Batarseh
Dealing with imbalanced data is a prevalent problem while performing classification on the datasets. Many times, this problem contributes to bias while making decisions or implemen…
Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors
Ajay Kulkarni
The objectives of this ongoing research are to build Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors, and to measure its impact on them…
Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation
Feras A. Batarseh, Ajay Kulkarni
The results of data mining endeavors are majorly driven by data quality. Throughout these deployments, serious show-stopper problems are still unresolved, such as: data collection…