5 citations · 12 across the 5 of their papers we have counts for
5 papers
Enhancing Diversity in Multi-objective Feature Selection
Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli +2
Feature selection plays a pivotal role in the data preprocessing and model-building pipeline, significantly enhancing model performance, interpretability, and resource efficiency a…
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
Hamdireza Rouzegar, Masoud Makrehchi
This study investigates how LLMs, specifically GPT-3.5 and GPT-4, can develop tailored questions for Grade 9 math, aligning with active learning principles. By utilizing an iterati…
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
Hamidreza Rouzegar, Masoud Makrehchi
In the context of text classification, the financial burden of annotation exercises for creating training data is a critical issue. Active learning techniques, particularly those r…
Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23)
Masoud Makrehchi, Dell Zhang, Alina Petrova +1
This is the Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23) which took place in conjunction with the 32nd ACM International Confe…
Making a Computational Attorney
Dell Zhang, Frank Schilder, Jack G. Conrad +3
This "blue sky idea" paper outlines the opportunities and challenges in data mining and machine learning involving making a computational attorney -- an intelligent software agent…