Hybrid Model-based Learning
Hybrid Model-Based Learning is a model-based robot learning framework that integrates both learned and analytical models within a unified architecture to leverage the accuracy of first-principles modeling and the adaptability of data-driven approaches.
787
Publications
38.6K
Citations
2.9K
Authors
1.1K
Institutions
Publications per year
2017–2026
593
Parents
787
Heart Disease Prediction using Hybrid machine Learning Model
M. Kavitha, G. Gnaneswar, R. Dinesh et al. · 2021 · 415 citations
Aytaç Altan, Seçkin Karasu · Chaos Solitons & Fractals · 2020 · 358 citations · Full text
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1.1K

Southeast University
Nanjing, China
12 h-index
32 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
24 publications
1.8K citations

North China Electric Power University
Beijing, China
10 h-index
30 publications
3.7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
9 h-index
21 publications
1.2K citations
Duy Tan University
Da Nang, Vietnam
9 h-index
11 publications
692 citations

Shanghai University
Shanghai, China
8 h-index
26 publications
1.5K citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
21 publications
667 citations

Ton Duc Thang University
Ho Chi Minh City, Vietnam
7 h-index
7 publications
429 citations
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30 publications · 2.2K citations
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26 publications · 2.2K citations
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Repository · 15 publications · 407 citations
12
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10 publications · 741 citations
10
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9 publications · 187 citations
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