Danny D'Agostino

12 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An efficient global optimization algorithm with adaptive estimates of the local Lipschitz constants. J. Glob. Optim. Danny D'Agostino
2024	J	`jnl`	Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. CoRR 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
2024	J	`jnl`	Disparities in clinical studies of AI enabled applications from a global perspective. npj Digit. Medicine Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu
2024	J	`jnl`	Generative models for anomaly detection and design-space dimensionality reduction in shape optimization. Eng. Appl. Artif. Intell. Danny D'Agostino
2024	J	`jnl`	Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks. Neural Networks Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker
2023	J	`jnl`	Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR 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
2023	J	`jnl`	Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization. CoRR Danny D'Agostino
2023	J	`jnl`	Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks. CoRR Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker
2021	—	`—`	A lipschitzian global optimization algorithm and machine learning for fluid dynamics. Danny D'Agostino
2021	J	`jnl`	Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State. CoRR Danny D'Agostino, Andrea Serani, Frederick Stern, Matteo Diez
2018	—	`conf`	Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods. LOD Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
2017	—	`conf`	Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization. MOD Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez