FormulAI: Designing Rule-Based Datasets for Interpretable and Challenging Machine Learning Tasks

Journal article

Open access

Artificial Intelligence and Applications, v 3(1), pp 72-82

17 Jan 2025

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https://doi.org/10.47852/bonviewAIA42021781View

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class imbalanced

interpretability and explainability

rule-based datasets

synthetic datasets

Pattern Recognition

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Title: FormulAI: Designing Rule-Based Datasets for Interpretable and Challenging Machine Learning Tasks
Creators: Hegler Tissot - Drexel University
Publication Details: Artificial Intelligence and Applications, v 3(1), pp 72-82
Publisher: Bon View Publishing
Number of pages: 11
Resource Type: Journal article
Language: English
Academic Unit: Information Science
Scopus ID: 2-s2.0-105006528087
Other Identifier: 991022197312204721