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Carlos Soares

Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

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Dec 19, 2024
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Tabular data generation with tensor contraction layers and transformers

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Dec 06, 2024
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Fair-OBNC: Correcting Label Noise for Fairer Datasets

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Oct 08, 2024
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RIFF: Inducing Rules for Fraud Detection from Decision Trees

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Aug 23, 2024
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Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary

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Aug 12, 2024
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RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms

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Aug 06, 2024
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Forecasting with Deep Learning: Beyond Average of Average of Average Performance

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Jun 24, 2024
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Meta-learning and Data Augmentation for Stress Testing Forecasting Models

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Jun 24, 2024
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Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study

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May 18, 2024
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Time Series Data Augmentation as an Imbalanced Learning Problem

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Apr 29, 2024
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