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Author

Danilo Macciò

Observed names: D. Maccio, D. Macciò, Danilo Maccio, Danilo Macció, MACCIO', DANILO, Macciò, Danilo
ORCID: 0000-0002-2627-4953
Observed ORCID: 0000-0002-2627-4953
OpenAlex ID: A5050914225
QuantTree: Histograms for change detection in multivariate data streams
2018 · Giacomo Boracchi, Diego Carrera, et al. · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 30
An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations
2018 · Antonio Cataliotti, Cristiano Cervellera, et al. · IEEE Transactions on Instrumentation and Measurement · 28
Optimization based on quasi-Monte Carlo sampling to design state estimators for non-linear systems
2010 · A. Alessandri, C. Cervellera, et al. · Optimization · 25
A comparison of global and semi-local approximation in T-stage stochastic optimization
2010 · C. Cervellera, D. Macciò · European Journal of Operational Research · 23
Low-discrepancy sampling for approximate dynamic programming with local approximators
2013 · C. Cervellera, M. Gaggero, et al. · Computers & Operations Research · 22
Uniform histograms for change detection in multivariate data
2017 · Giacomo Boracchi, Cristiano Cervellera, et al. · International Joint Conference on Neural Networks (IJCNN) · 21
Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines
2015 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Neural Networks and Learning Systems · 18
Efficient kernel models for learning and approximate minimization problems
2012 · C. Cervellera, M. Gaggero, et al. · Neurocomputing · 18
An Extreme Learning Machine Approach to Density Estimation Problems
2017 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Cybernetics · 16
Distribution-Preserving Stratified Sampling for Learning Problems
2017 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Neural Networks and Learning Systems · 16
Quasi-random sampling for approximate dynamic programming
2013 · Cristiano Cervellera, Mauro Gaggero, et al. · International Joint Conference on Neural Networks (IJCNN) · 16
Learning With Kernel Smoothing Models and Low-Discrepancy Sampling
2013 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Neural Networks and Learning Systems · 16
Local Models for data-driven learning of control policies for complex systems
2012 · D. Macciò, C. Cervellera · Expert Systems with Applications · 15
Local Linear Regression for Function Learning: An Analysis Based on Sample Discrepancy
2014 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Neural Networks and Learning Systems · 14
Copula-based scenario generation for urban traffic models
2022 · Cristiano Cervellera, Danilo Macciò, et al. · Expert Systems with Applications · 12
Learning Robustly Stabilizing Explicit Model Predictive Controllers: A Non-Regular Sampling Approach
2020 · Cristiano Cervellera, Danilo Maccio, et al. · IEEE Control Systems Letters · 11
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Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
2008 · C. Cervellera, D. Maccio, et al. · IEEE Transactions on Neural Networks · 11
Policy Optimization for Berth Allocation Problems
2021 · Cristiano Cervellera, Mauro Gaggero, et al. · International Joint Conference on Neural Networks (IJCNN) · 9
$F$ -Discrepancy for Efficient Sampling in Approximate Dynamic Programming
2015 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Cybernetics · 9
Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation
2021 · Cristiano Cervellera, Danilo Maccio, et al. · International Joint Conference on Neural Networks (IJCNN) · 8
Improving the variability of urban traffic microsimulation through the calibration of generative parameter models
2021 · Cristiano Cervellera, Danilo Macciò, et al. · Journal of Intelligent Transportation Systems · 8
A Novel Approach for Sampling in Approximate Dynamic Programming Based on $F$ -Discrepancy
2017 · Cristiano Cervellera, Danilo Maccio · IEEE Transactions on Cybernetics · 8
Functional Optimization Through Semilocal Approximate Minimization
2010 · Cristiano Cervellera, Danilo Macciò, et al. · Operations Research · 8
An imitation learning approach for the control of a low-cost low-accuracy robotic arm for unstructured environments
2022 · Fabio Bonsignorio, Cristiano Cervellera, et al. · International Journal of Intelligent Robotics and Applications · 6
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Voronoi tree models for distribution-preserving sampling and generation
2019 · Cristiano Cervellera, Danilo Macciò · Pattern Recognition · 6
Works count: 54
Citation count: 430
H-index: 14
I10-index: 17
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