5 papers
MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
Indronil Bhattacharjee, Christabel Wayllace
Knowledge tracing (KT) models are commonly evaluated by training on early interactions from all students and testing on later responses. While effective for measuring average predi…
Accelerating Posterior Inference from Pulsar Light Curves via Learned Latent Representations and Local Simulator-Guided Optimization
Farhana Taiyebah, Abu Bucker Siddik, Indronil Bhattacharjee +4
Posterior inference from pulsar observations in the form of light curves is commonly performed using Markov chain Monte Carlo methods, which are accurate but computationally expens…
Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students
Indronil Bhattacharjee, Christabel Wayllace
KnowledgeTracing (KT) involves predicting students' knowledge states based on their interactions with Intelligent Tutoring Systems (ITS). A key challenge is the cold start problem,…
An LLM-Guided Tutoring System for Social Skills Training
Michael Guevarra, Indronil Bhattacharjee, Srijita Das +4
Social skills training targets behaviors necessary for success in social interactions. However, traditional classroom training for such skills is often insufficient to teach effect…
Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
Indronil Bhattacharjee, Al-Mahmud, Tareq Mahmud
Diabetic Retinopathy is one of the most familiar diseases and is a diabetes complication that affects eyes. Initially, diabetic retinopathy may cause no symptoms or only mild visio…