Giuseppe De Nicolao

Orcid: 0000-0002-3712-9911

According to our database1, Giuseppe De Nicolao authored at least 138 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Lifelong Learning for Monitoring and Adaptation of Data-Based Dynamical Models: A Statistical Process Control Approach.
Proceedings of the European Control Conference, 2024

2023
Multi-opinion Markovian agent networks: Parametrization, second order moment and social power.
Autom., 2023

Optimal control of compartmental models: The exact solution.
Autom., 2023

2022
Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment.
IEEE Trans. Control. Syst. Technol., 2022

Effect of Social Influence on a Two-Party Election: A Markovian Multiagent Model.
IEEE Trans. Control. Netw. Syst., 2022

Just an artifact? The concordance between peer review and bibliometrics in economics and statistics in the Italian research assessment exercise.
Quant. Sci. Stud., 2022

Short-term forecasting of the Italian load demand during the Easter Week.
Neural Comput. Appl., 2022

Logarithmic Dynamics and Aggregation in Epidemics.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Regression dilution effects in wind power prediction from wind speed forecasts.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Regularization methods for the short-term forecasting of the Italian electric load.
CoRR, 2021

Preemptive periodic epidemic control reduces life and healthcare system costs without aggravation of social and economic losses.
CoRR, 2021

Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment.
CoRR, 2021

Aggregation of nonlinearly enhanced experts with application to electricity load forecasting.
Appl. Soft Comput., 2021

Generalized epidemiological compartmental models: guaranteed bounds via optimal control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Opinion Dynamics in Social Networks: The Effect of Centralized Interaction Tuning on Emerging Behaviors.
IEEE Trans. Comput. Soc. Syst., 2020

<i>vanilla-option-pricing</i>: Pricing and market calibration for options on energy commodities.
Softw. Impacts, 2020

Spectral Characterization of the Multi-Seasonal Component of the Italian Electric Load: A LASSO-FFT Approach.
IEEE Control. Syst. Lett., 2020

Identification of AC Networks via Online Learning.
CoRR, 2020

2019
Citation gaming induced by bibliometric evaluation: a country-level comparative analysis.
CoRR, 2019

Short-term forecasting of Italian gas demand.
CoRR, 2019

Short-term forecasting of Italian residential gas demand.
CoRR, 2019

Model individualization for artificial pancreas.
Comput. Methods Programs Biomed., 2019

Assessing drug effect from distributional data: A population approach with application to Duchenne Muscular Dystrophy treatment.
Comput. Methods Programs Biomed., 2019

Stable spline identification of linear systems under missing data.
Autom., 2019

Opinion influence and evolution in social networks: A Markovian agents model.
Autom., 2019

Thermal Comfort Control in Air-Conditioned Buildings: new data-driven approaches to Neutral Temperature estimation.
Proceedings of the 17th European Control Conference, 2019

2018
Identification of the Gordon- Ng Chiller Model: Linear or Nonlinear Least Squares?
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

Opinion Dynamics in Social Networks with Heterogeneous Markovian Agents.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Accuracy and Robustness Against Covariate Shift of Water Chiller Models.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017
Errors and secret data in the Italian research assessment exercise. A comment to a reply.
CoRR, 2017

2016
Reply to the comment of Bertocchi et al.
Scientometrics, 2016

Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise.
Scientometrics, 2016

Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint.
Autom., 2016

Design of stabilizing strategies for discrete-time dual switching linear systems.
Autom., 2016

2015
University ranking methodologies. An interview with Ben Sowter about the Quacquarelli Symonds World University Ranking.
Roars Trans., 2015

Do they agree? Bibliometric evaluation vs informed peer review in the Italian research assessment exercise.
CoRR, 2015

Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach.
Comput. Oper. Res., 2015

Long-term electric load forecasting: A torus-based approach.
Proceedings of the 14th European Control Conference, 2015

H∞ co-design for discrete-time dual switching linear systems.
Proceedings of the 14th European Control Conference, 2015

2014
Kernel methods in system identification, machine learning and function estimation: A survey.
Autom., 2014

Stochastic stability of Positive Markov Jump Linear Systems.
Autom., 2014

Stabilization via switching of positive Markov jump linear systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Almost Sure Stability of Markov Jump Linear Systems With Deterministic Switching.
IEEE Trans. Autom. Control., 2013

A multi-task learning approach for the extraction of single-trial evoked potentials.
Comput. Methods Programs Biomed., 2013

2012
Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration.
IEEE Trans. Biomed. Eng., 2012

Modular Closed-Loop Control of Diabetes.
IEEE Trans. Biomed. Eng., 2012

A Minimal Model of Tumor Growth Inhibition in Combination Regimens Under the Hypothesis of No Interaction Between Drugs.
IEEE Trans. Biomed. Eng., 2012

Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach.
IEEE Trans. Biomed. Eng., 2012

Bayesian population approaches to the analysis of dose escalation studies.
Comput. Methods Programs Biomed., 2012

MPC based Artificial Pancreas: Strategies for individualization and meal compensation.
Annu. Rev. Control., 2012

An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

Multistep virtual metrology approaches for semiconductor manufacturing processes.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

2011
Client-Server Multitask Learning From Distributed Datasets.
IEEE Trans. Neural Networks, 2011

Bayesian Population Modeling of Phase I Dose Escalation Studies: Gaussian Process Versus Parametric Approaches.
IEEE Trans. Biomed. Eng., 2011

Prediction error identification of linear systems: A nonparametric Gaussian regression approach.
Autom., 2011

Nonparametric Virtual Sensors for Semiconductor Manufacturing - Using Information Theoretic Learning and Kernel Machines.
Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Noordwijkerhout, The Netherlands, 28, 2011

A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Kernel selection in linear system identification Part I: A Gaussian process perspective.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Almost sure stability of Markov jump linear systems with dwell-time constrained switching dynamics.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Proportional hazard model with ℓ1 Penalization applied to Predictive Maintenance in semiconductor manufacturing.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

Multilevel Lasso applied to Virtual Metrology in semiconductor manufacturing.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

2010
Bayesian Online Multitask Learning of Gaussian Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A new kernel-based approach for linear system identification.
Autom., 2010

Markov Jump Linear Systems with switching transition rates: Mean square stability with dwell-time.
Autom., 2010

Multilevel statistical process control of asynchronous multi-stream processes in semiconductor manufacturing.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010

Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010

Regularized estimation of sums of exponentials in spaces generated by stable spline kernels.
Proceedings of the American Control Conference, 2010

2009
Estimation of Engine Maps: A Regularized Basis-Function Networks Approach.
IEEE Trans. Control. Syst. Technol., 2009

An algebraic characterization of the optimum of regularized kernel methods.
Mach. Learn., 2009

Model predictive control of glucose concentration in type I diabetic patients: An in silico trial.
Biomed. Signal Process. Control., 2009

Fast algorithms for nonparametric population modeling of large data sets.
Autom., 2009

Mean square stability of Markov Jump Linear Systems with piecewise constant transition rates under dwell-time specifications.
Proceedings of the 10th European Control Conference, 2009

2008
Nonparametric Identification of Population Models: An MCMC Approach.
IEEE Trans. Biomed. Eng., 2008

A Minimal Model of Tumor Growth Inhibition.
IEEE Trans. Biomed. Eng., 2008

Almost Sure Stability of Stochastic Linear Systems with Ergodic Parameters.
Eur. J. Control, 2008

Client-server multi-task learning from distributed datasets
CoRR, 2008

Predictor estimation via Gaussian regression.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Subspace identification using predictor estimation via Gaussian regression.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Bayesian online multi-task learning using regularization networks.
Proceedings of the American Control Conference, 2008

A new kernel-based approach for system identification.
Proceedings of the American Control Conference, 2008

2007
Onboard Sensor-Based Collision Risk Assessment to Improve Pedestrians' Safety.
IEEE Trans. Veh. Technol., 2007

On the Representer Theorem and Equivalent Degrees of Freedom of SVR.
J. Mach. Learn. Res., 2007

ACID: Automatic Sort-Map Classification for Interactive Process Diagnosis.
IEEE Des. Test Comput., 2007

Nonparametric identification of population models via Gaussian processes.
Autom., 2007

Efficient Nonparametric Population Modeling for Large Data Sets.
Proceedings of the American Control Conference, 2007

2006
On almost sure stability of continuous-time Markov jump linear systems.
Autom., 2006

Almost sure stability of stochastic linear systems with ergodic parameters: an average contractivity criterion.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Unsupervised spatial pattern classification of electrical-wafer-sorting maps in semiconductor manufacturing.
Pattern Recognit. Lett., 2005

Process Diagnosis via Electrical-Wafer-Sorting Maps Classification.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Nonparametric identification of population pharmacokinetic models: an MCMC approach.
Proceedings of the American Control Conference, 2005

2004
On discrete-time H<sub>∞</sub> fixed-lag smoothing.
IEEE Trans. Signal Process., 2004

Efficient NMPC of unstable periodic systems using approximate infinite horizon closed loop costing.
Annu. Rev. Control., 2004

On almost sure stability of discrete-time Markov jump linear systems.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Regularization networks for inverse problems: A state-space approach.
Autom., 2003

2002
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.
Comput. Methods Programs Biomed., 2002

H<sub>∞</sub> smoothing in discrete-time: a direct approach.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Regularization networks: fast weight calculation via Kalman filtering.
IEEE Trans. Neural Networks, 2001

Output feedback and tracking of nonlinear systems with model predictive control.
Autom., 2001

A stabilizing model-based predictive control algorithm for nonlinear systems.
Autom., 2001

Computing the equivalent number of parameters of fixed-interval smoothers.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

NARX models: optimal parametric approximation of nonparametric estimators.
Proceedings of the American Control Conference, 2001

2000
Bayesian analysis of blood glucose time series from diabetes home monitoring.
IEEE Trans. Biomed. Eng., 2000

Discussion on: 'Tradeoff between Mean-Square and Worst-Case Performances in Adaptive Filtering' by P. Bolzern, P. Colaneri and G. De Nicolao.
Eur. J. Control, 2000

Tradeoff between Mean-Square and Worst-Case Performances in Adaptive Filtering.
Eur. J. Control, 2000

Fast spline smoothing via spectral factorization concepts.
Autom., 2000

A stabilizing receding horizon controller for nonlinear discrete time systems.
Proceedings of the American Control Conference, 2000

A Kalman filtering algorithm for regularization networks.
Proceedings of the American Control Conference, 2000

1999
On the Wold decomposition of discrete-time cyclostationary processes.
IEEE Trans. Signal Process., 1999

Consistent identification of NARX models via regularization networks.
IEEE Trans. Autom. Control., 1999

Discussion on: 'Discrete-Time Riccati Equations in Open-Loop Nash and Stackelberg Games' by G. Freiling, G. Jank and H. Abou-Kandil.
Eur. J. Control, 1999

H<sub>infinity</sub>-robustness of adaptive filters against measurement noise and parameter drift.
Autom., 1999

Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998
Stabilizing receding-horizon control of nonlinear time-varying systems.
IEEE Trans. Autom. Control., 1998

Bayesian Function Learning Using MCMC Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Zeros of Continuous-time Linear Periodic Systems.
Autom., 1998

Robustness of receding horizon control for nonlinear discrete-time systems.
Proceedings of the Robustness in Identification and Control, Workshop Robustness in Identification and Control, Siena, Italy, July 30, 1998

Robustness and performance in adaptive filtering.
Proceedings of the Robustness in Identification and Control, Workshop Robustness in Identification and Control, Siena, Italy, July 30, 1998

Mining biomedical time series by combining structural analysis and temporal abstractions.
Proceedings of the AMIA 1998, 1998

1997
On the stability of receding-horizon LQ control with zero-state terminal constraint.
IEEE Trans. Autom. Control., 1997

H<sub>∞</sub>-differential Riccati equations: convergence properties and finite escape phenomena.
IEEE Trans. Autom. Control., 1997

Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach.
Intell. Data Anal., 1997

Transient and Asymptotic Analysis of Discrete-Time H<sub>∞</sub>-Filters.
Eur. J. Control, 1997

Nonparametric input estimation in physiological systems: Problems, methods, and case studies.
Autom., 1997

On the use of reachability Gramians for the stabilization of linear periodic systems.
Autom., 1997

Stabilizing Predictive Control of Nonlinear ARX Models.
Autom., 1997

Finite escapes and convergence properties of guaranteed-cost robust filters.
Autom., 1997

1996
On the robustness of receding-horizon control with terminal constraints.
IEEE Trans. Autom. Control., 1996

An adaptive predictive regulator with input saturations.
Autom., 1996

Robust predictive control of systems with uncertain impulse response.
Autom., 1996

1995
Deconvolution of infrequently sampled data for the estimation of growth hormone secretion.
IEEE Trans. Biomed. Eng., 1995

Multirate LQG control of continuous-time stochastic systems.
Autom., 1995

Adaptive controllers for intelligent monitoring.
Artif. Intell. Medicine, 1995

1994
On 'Comparison and extensions of control methods for narrow-band disturbance rejection'.
IEEE Trans. Speech Audio Process., 1994

On the computation of upper covariance bounds for perturbed linear systems.
IEEE Trans. Autom. Control., 1994

Cyclomonotonicity, riccati equations and periodic receding horizon control.
Autom., 1994

The autonomous linear quadratic control problem: Theory and numerical solutions : V. M. Mehrmann.
Autom., 1994

1993
Linear and nonlinear techniques for the deconvolution of hormone time-series.
IEEE Trans. Biomed. Eng., 1993

Spectral factorization of linear periodic systems with application to the optimal prediction of periodic ARMA models.
Autom., 1993


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