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Towards Machine Learning as an Enabler of ...
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由 D Mateja 著作2021被引用 27 次 — This article demonstrates that the learning occurring within the computational machine through ML enables creative capabilities therein, ...
Towards Machine Learning as an Enabler of ...
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由 D Mateja 著作2021被引用 26 次 — This paper demonstrates that the learning occurring within the computational machine through machine learning enables creative capabilities therein, allowing ...
Towards Machine Learning as an Enabler of ...
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由 D Mateja 著作2021被引用 27 次 — This article demonstrates that the learning occurring within the computational machine through ML enables creative capabilities therein.
Towards Machine Learning as an Enabler of ...
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2024年12月9日 — This paper demonstrates that the learning occurring within the computational machine through machine learning enables creative capabilities ...
Machine learning as the enabler of computational creativity
Uni Mannheim
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Uni Mannheim
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2021年8月16日 — The article investigates state-of-the-art creative capabilities and machine learning techniques in the domain of computational creative systems.
Towards Machine Learning as an Enabler of ...
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由 D Mateja 著作2021被引用 27 次 — This article demonstrates that the learning occurring within the computational machine through ML enables creative capabilities therein, ...
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Deborah Mateja
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年 · Towards machine learning as an enabler of computational creativity. D Mateja, A Heinzl. IEEE Transactions on Artificial Intelligence 2 (6), 460-475, 2021.
Enhancement of Creativity
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AI enhances creativity, improves efficiency, and expands possibilities in design by automating repetitive tasks, generating new design variations, ...
Deborah Mateja's research works | Universität Mannheim ...
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This paper demonstrates that the learning occurring within the computational machine through machine learning enables creative capabilities therein, allowing ...
Creativity and Machine Learning: A Survey - ACM Digital Library
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由 G Franceschelli 著作被引用 47 次 — The first question is whether computational ideas can help us understand how human creativity works. The second is whether computers could ever do things that ...