🧪 Scientific contributions¶
📰 Scientific Papers Auto-Sklong Authored¶
Within each paper's tab, we will point to which Git branch to see the experiments of a given paper.
Paper Name: Auto-Sklong: A New AutoML System for Longitudinal Classification
Dataset Source: https://www.elsa-project.ac.uk/
Paper Link: 10.1109/BIBM62325.2024.10821737
Git branch: Incoming.
Before You Begin
Ensure you have your dataset ready in a compatible format (e.g., CSV) and are familiar with the basic usage. Check out the Getting Started page if you need a refresher!
📰 Scientific Papers Associated Python Libraries Employed¶
Paper Name: Provost, S. and Freitas, A.A. (2025). Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python
Publisher: Journal of Open Source Software (JOSS)
Paper Link: https://joss.theoj.org/papers/10.21105/joss.08481
Used For: This library is used throughout the search space of the Auto-Sklong system.
Paper Name: Lars B., et al. (2024). {API} design for machine learning software: experiences from the scikit-learn project
Publisher: ECML PKDD Workshop: Languages for Data Mining and Machine Learning
Paper Status: Accepted & Published.
Paper Link: arXiv
Used For: This library is used throughout the search space of the Auto-Sklong system.
Paper Name: Gijsbers, Pieter and Vanschoren, Joaquin (2021). GAMA: A General Automated Machine Learning Assistant
Publisher: Springer International Publishing
Paper Status: Accepted & Published.
Paper Link: GAMA
Used For: Auto-Sklong is based on the GAMA system.