Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Perego, Riccardo
157  Ergebnisse:
Personensuche X
?
1

AutoTinyML for microcontrollers: Dealing with black-box dep..:

Perego, Riccardo ; Candelieri, Antonio ; Archetti, Francesco.
Expert Systems with Applications.  207 (2022)  - p. 117876 , 2022
Link: https://doi.org/10.1016/..
 
?
2

Green machine learning via augmented Gaussian processes and..:

Candelieri, Antonio ; Perego, Riccardo ; Archetti, Francesco
Soft Computing.  25 (2021)  19 - p. 12591-12603 , 2021
Link: https://doi.org/10.1007/..
 
?
3

Safe global optimization of expensive noisy black-box funct..:

Sergeyev, Yaroslav D. ; Candelieri, Antonio ; Kvasov, Dmitri E..
Soft Computing.  24 (2020)  23 - p. 17715-17735 , 2020
Link: https://doi.org/10.1007/..
 
?
4

Energy Efficient Hyperparameters Tuning through Augmented G..:

, In: 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI),
Candelieri, Antonio ; Archetti, Francesco ; Ponti, Andrea. - p. 34-38 , 2020
Link: https://doi.org/10.1109/..
 
?
5

Composition of Kernel and Acquisition Functions for High Di..:

, In: Lecture Notes in Computer Science; Learning and Intelligent Optimization,
Candelieri, Antonio ; Giordani, Ilaria ; Perego, Riccardo. - p. 316-323 , 2020
Link: https://doi.org/10.1007/..
 
?
6

Modelling human active search in optimizing black-box funct..:

Candelieri, Antonio ; Perego, Riccardo ; Giordani, Ilaria..
Soft Computing.  24 (2020)  23 - p. 17771-17785 , 2020
Link: https://doi.org/10.1007/..
 
?
7

Are Humans Bayesian in the Optimization of Black-Box Functi..:

, In: Lecture Notes in Computer Science; Numerical Computations: Theory and Algorithms,
Candelieri, Antonio ; Perego, Riccardo ; Giordani, Ilaria. - p. 32-42 , 2020
Link: https://doi.org/10.1007/..
 
?
8

Tuning Deep Neural Network's Hyperparameters Constrained to..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2020; Lecture Notes in Computer Science,
Perego, Riccardo ; Candelieri, Antonio ; Archetti, Francesco. - p. 92-103 , 2020
Link: https://doi.org/10.1007/..
 
?
9

Optimizing Partially Defined Black-Box Functions Under Unkn..:

, In: Lecture Notes in Computer Science; Learning and Intelligent Optimization,
Candelieri, Antonio ; Galuzzi, Bruno ; Giordani, Ilaria.. - p. 77-93 , 2020
Link: https://doi.org/10.1007/..
 
?
10

Bayesian Optimization for Recommender System:

, In: Advances in Intelligent Systems and Computing; Optimization of Complex Systems: Theory, Models, Algorithms and Applications,
Galuzzi, Bruno Giovanni ; Giordani, Ilaria ; Candelieri, A... - p. 751-760 , 2019
Link: https://doi.org/10.1007/..
 
?
11

Business Information Systems for the Cost/Energy Management..:

, In: Business Information Systems Workshops; Lecture Notes in Business Information Processing,
Candelieri, Antonio ; Galuzzi, Bruno G. ; Giordani, Ilaria.. - p. 3-13 , 2019
Link: https://doi.org/10.1007/..
 
?
12

Stochastic optimization for feasibility determination : ..:

, In: Proceedings of the 2018 Winter Simulation Conference,
Tsai, Yi-An ; Pedrielli, Giulia ; Mathesen, Logan... - p. 1945-1956 , 2018
Link: https://dl.acm.org/doi/1..
 
?
13

Intelligent Pump Scheduling Optimization in Water Distribut..:

, In: Lecture Notes in Computer Science; Learning and Intelligent Optimization,
Candelieri, Antonio ; Perego, Riccardo ; Archetti, Francesco - p. 352-369 , 2018
Link: https://doi.org/10.1007/..
 
?
14

Automated Deep Learning through Constrained Bayesian Optimi..:

PEREGO, RICCARDO
http://hdl.handle.net/10281/314922.  , 2021
Link: http://hdl.handle.net/10..
 
?
15

Green Machine Learning via Augmented Gaussian Processes and..:

Candelieri, Antonio ; Perego, Riccardo ; Archetti, Francesco
http://arxiv.org/abs/2006.14233.  , 2020
Link: http://arxiv.org/abs/200..
 
1-15