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ORCIDDanny D'Agostino
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2020 – today
- 2024
[j3]Danny D'Agostino
:
Generative models for anomaly detection and design-space dimensionality reduction in shape optimization. Eng. Appl. Artif. Intell. 129: 107566 (2024)- [j2]Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker:
Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks. Neural Networks 176: 106335 (2024) - [j1]Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu:
Disparities in clinical studies of AI enabled applications from a global perspective. npj Digit. Medicine 7(1) (2024) - [i5]Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu, Mengying Yan, Yuhe Ke, Danny D'Agostino, Yilin Ning, Qiming Wu, Ziwen Wang, Yuqing Shang, Molei Liu, Chuan Hong, Nan Liu:
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. CoRR abs/2407.11034 (2024) - 2023
- [i4]Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker:
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks. CoRR abs/2307.05639 (2023) - [i3]Danny D'Agostino:
Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization. CoRR abs/2308.04051 (2023) - [i2]Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu:
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR abs/2311.03417 (2023) - 2021
- [b1]Danny D'Agostino:
A lipschitzian global optimization algorithm and machine learning for fluid dynamics. Sapienza University of Rome, Italy, 2021 - [i1]Danny D'Agostino, Andrea Serani, Frederick Stern, Matteo Diez:
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State. CoRR abs/2105.13102 (2021)
2010 – 2019
- 2018
- [c2]Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez:
Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods. LOD 2018: 154-165 - 2017
- [c1]Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez:
Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization. MOD 2017: 121-132
Coauthor Index
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