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- Conference Paper
- C3
- open access
A coevolutionary approach for optimizing interpretable rule ensembles
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Making sense of BERTopic : a deep dive into topic reduction techniques
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Predicting and explaining post-repair machine failures using machine learning on warranty data
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- Conference Paper
- C3
- open access
The dual quest for interpretability and performance in credit scoring via spline-rule ensembles
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- Conference Paper
- C1
- open access
LLM-assisted topic reduction for BERTopic on social media data
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- Conference Paper
- C3
- open access
The dual quest for interpretability and performance in credit scoring via spline-rule ensembles
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Leveraging sensor data for fault detection in split-system air conditioners
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- Journal Article
- A1
- open access
A comparative analysis of topic reduction techniques for BERTopic
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- Journal Article
- A1
- open access
Customer experiences and coping behaviors during crisis situations : the role of service adaptation and service transformation
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Comparing Deep Learning Models and LLMs for airport sentiment analysis on Twitter data