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Transparent Machine Learning: Theory and Computation- [electronic resource]
Transparent Machine Learning: Theory and Computation- [electronic resource]
Covert, Ian C.Computer Science and Engineering. | University of Washington. | 2023
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Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy- [electronic resource]
Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy- [electronic resource]
Yan, Jingkai.Electrical Engineering. | Columbia University. | 2024
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3
Transparent Machine Learning: Theory and Computation- [electronic resource]
Transparent Machine Learning: Theory and Computation- [electronic resource]
Covert, Ian C.Computer Science and Engineering. | University of Washington. | 2023
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4
Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy- [electronic resource]
Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy- [electronic resource]
Yan, Jingkai.Electrical Engineering. | Columbia University. | 2024
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5
Transparent Machine Learning: Theory and Computation- [electronic resource]
Transparent Machine Learning: Theory and Computation- [electronic resource]
Covert, Ian C.Computer Science and Engineering. | University of Washington. | 2023
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6
Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy- [electronic resource]
Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy- [electronic resource]
Yan, Jingkai.Electrical Engineering. | Columbia University. | 2024
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7
Right for the Right Reasons: Training Neural Networks to Be Interpretable, Robust, and Consistent with Expert Knowledge
Right for the Right Reasons: Training Neural Networks to Be Interpretable, Robust, and Consistent with Expert Knowledge
Ross, Andrew Slavin. | Harvard University | 2021
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