Muntasir Hoq

An Automated Approach to Recommending Relevant Worked Examples for Programming Problems

Hoq, M., Patil, A., Akhuseyinoglu, K., Brusilovsky, P., & Akram, B. (2025, February 12).

Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models

PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1, pp. 526–532.

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses

Hoq, M., Vandenberg, J., Mott, B., Lester, J., Norouzi, N., & Akram, B. (2024, March 14).

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises

Niousha, R., Hoq, M., Akram, B., & Norouzi, N. (2024, March 14).

Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course

16th International Conference on Educational Data Mining, 2023.

SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction

PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, pp. 783–792.

Sentiment Analysis of Bangla Language Using Deep Learning Approaches

In Communications in Computer and Information Science (pp. 140–151).

Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson’s Disease Detection

Diagnostics, 11(6), 1076.

Artificial Neural Network Model for Hepatitis C Stage Detection

EDU Journal of Computer and Electrical Engineering, 1(1), 11–16.

A Hybrid Deep Learning Model with Evolutionary Algorithm for Short-Term Load Forecasting

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).