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Luis P. Silvestrin

Luis Pedro Silvestrin

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Conference and Workshop Papers

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2023
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  dblp key:
  - conf/ecai/SilvestrinYH23
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Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn:
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. ECAI 2023: 2146-2153
2021
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Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn:
A Framework for Imbalanced Time-Series Forecasting. LOD 2021: 250-264
2019
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Luis P. Silvestrin, Mark Hoogendoorn, Ger Koole:
A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive Maintenance. SSCI 2019: 760-767

Informal and Other Publications

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2023
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  - journals/corr/abs-2307-08572
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Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn:
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. CoRR abs/2307.08572 (2023)
2022
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  - journals/corr/abs-2202-05069
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Luis Pedro Silvestrin, Harry van Zanten, Mark Hoogendoorn, Ger Koole:
Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case. CoRR abs/2202.05069 (2022)
2021
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  - journals/corr/abs-2107-10709
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Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn:
A Framework for Imbalanced Time-series Forecasting. CoRR abs/2107.10709 (2021)

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