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Kei Sen Fong

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2024
[c7]
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Kei Sen Fong, Mehul Motani:
Symbolic Regression Enhanced Decision Trees for Classification Tasks. AAAI 2024: 12033-12042
[c6]
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Kei Sen Fong, Mehul Motani:
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data. AISTATS 2024: 2890-2898
[c5]
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Kei Sen Fong, Mehul Motani:
MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression. GECCO 2024
[c4]
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Kei Sen Fong, Mehul Motani:
Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. GECCO Companion 2024: 37-38
2023
[c3]
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Kei Sen Fong, Shelvia Wongso, Mehul Motani:
Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. GECCO Companion 2023: 21-22
[c2]
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Kei Sen Fong, Mehul Motani:
DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression. GECCO Companion 2023: 567-570
[c1]
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Kei Sen Fong, Shelvia Wongso, Mehul Motani:
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms. ICLR 2023

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