Chiara Ravazzi

Orcid: 0000-0002-3186-6195

According to our database1, Chiara Ravazzi authored at least 56 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks.
IEEE J. Sel. Areas Commun., November, 2024

Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Planning Interventions in a Controlled Pandemic: The COVID-19 Case.
IEEE Trans. Netw. Sci. Eng., 2024

Detecting Stubborn Behaviors in Influence Networks: A Model-Based Approach for Resilient Analysis.
IEEE Control. Syst. Lett., 2024

Optimal policy design for decision problems under social influence.
CoRR, 2024

2023
Unveiling Oligarchy in Influence Networks From Partial Information.
IEEE Trans. Control. Netw. Syst., September, 2023

Asynchronous Semianonymous Dynamics over Large-Scale Networks.
SIAM J. Appl. Dyn. Syst., June, 2023

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation.
IEEE Access, 2023

A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks.
IEEE Access, 2023

2022
Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach.
IEEE Trans. Control. Netw. Syst., 2022

Graph Structure-Based Heuristics for Optimal Targeting in Social Networks.
IEEE Trans. Control. Netw. Syst., 2022

Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks.
IEEE Control. Syst. Lett., 2022

2021
Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations.
IEEE Trans. Autom. Control., 2021

Asynchronous semi-anonymous dynamics over large-scale networks.
CoRR, 2021

Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020
Optical Compressive Imaging Technologies for Space Big Data.
IEEE Trans. Big Data, 2020

On the Design of Structured Stabilizers for LTI Systems.
IEEE Control. Syst. Lett., 2020

Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach.
CoRR, 2020

Social network analysis of electric vehicles adoption: a data-based approach.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

2019
Distributed Estimation From Relative Measurements of Heterogeneous and Uncertain Quality.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections.
Pattern Recognit. Lett., 2019

Learning Political DNA in the Italian Senate.
Proceedings of the 17th European Control Conference, 2019

Bayesian Identification of Distributed Vector AutoRegressive Processes.
Proceedings of the 17th European Control Conference, 2019

2018
Learning Influence Structure in Sparse Social Networks.
IEEE Trans. Control. Netw. Syst., 2018

Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions.
Online Soc. Networks Media, 2018

Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models.
EURASIP J. Adv. Signal Process., 2018

Sparsity estimation from compressive projections via sparse random matrices.
EURASIP J. Adv. Signal Process., 2018

Randomized opinion dynamics over networks: influence estimation from partial observations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Curl-Constrained Gradient Estimation for Image Recovery From Highly Incomplete Spectral Data.
IEEE Trans. Image Process., 2017

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring.
CoRR, 2017

Laplace mixtures models for efficient compressed sensing with side information.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Image reconstruction from partial Fourier measurements via curl constrained sparse gradient estimation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Influence estimation in sparse social networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints.
IEEE Trans. Signal Process., 2016

SparseHash: Embedding Jaccard coefficient between supports of signals.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Bayesian tuning for support detection and sparse signal estimation via iterative shrinkage-thresholding.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Gaussian Mixtures Based IRLS for Sparse Recovery With Quadratic Convergence.
IEEE Trans. Signal Process., 2015

Distributed Iterative Thresholding for ℓ<sub>0</sub>/ℓ<sub>1</sub>-Regularized Linear Inverse Problems.
IEEE Trans. Inf. Theory, 2015

Ergodic Randomized Algorithms and Dynamics Over Networks.
IEEE Trans. Control. Netw. Syst., 2015

Block-sparsity-based localization in wireless sensor networks.
EURASIP J. Wirel. Commun. Netw., 2015

Distributed randomized algorithms for opinion formation, centrality computation and power systems estimation: A tutorial overview.
Eur. J. Control, 2015

Dictionary design for sensor network localization via block-sparsity.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Fast and robust EM-based IRLS algorithm for sparse signal recovery from noisy measurements.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
A Distributed Classification/Estimation Algorithm for Sensor Networks.
SIAM J. Control. Optim., 2014

Energy-saving gossip algorithm for compressed sensing in multi-agent systems.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks
CoRR, 2013

PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery.
Proceedings of the 30th Picture Coding Symposium, 2013

Distributed soft thresholding for sparse signal recovery.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

A distributed randomized algorithm for relative localization in sensor networks.
Proceedings of the 12th European Control Conference, 2013

Almost sure convergence of a randomized algorithm for relative localization in sensor networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
On the Growth Rate of the Input-Output Weight Distribution of Convolutional Encoders.
SIAM J. Discret. Math., 2012

A large scale analysis of a classification algorithm over sensor networks.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Input driven consensus algorithm for distributed estimation and classification in sensor networks.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Hayman-like techniques for computing input-output weight distribution of convolutional encoders.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Spectra and minimum distances of repeat multiple-accumulate codes.
IEEE Trans. Inf. Theory, 2009


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