Chiara Ravazzi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Social Networks

Partial Observations

Signal Recovery

Gradient Estimation

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Franco Galante, Chiara Ravazzi, Michele Garetto, Emilio Leonardi
Planning Interventions in a Controlled Pandemic: The COVID-19 Case. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Alessio Fascista, Angelo Coluccia, Chiara Ravazzi
Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
Optimal policy design for decision problems under social influence. CoRR (2024)
Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable
Asynchronous Semianonymous Dynamics over Large-Scale Networks. SIAM J. Appl. Dyn. Syst. 22 (2) (2023)
Alessio Fascista, Angelo Coluccia, Chiara Ravazzi
A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks. IEEE Access 11 (2023)
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Marco Fiore
Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation. IEEE Access 11 (2023)
Chiara Ravazzi, Francesco Bullo, Fabrizio Dabbene
Unveiling Oligarchy in Influence Networks From Partial Information. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Valentina Breschi, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene, Mara Tanelli
Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. IEEE Trans. Control. Netw. Syst. 9 (4) (2022)
Chiara Ravazzi, Francesco Malandrino, Fabrizio Dabbene
Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. IEEE Control. Syst. Lett. 6 (2022)
Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
Graph Structure-Based Heuristics for Optimal Targeting in Social Networks. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable
Asynchronous semi-anonymous dynamics over large-scale networks. CoRR (2021)
Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
On the Design of Structured Stabilizers for LTI Systems. CoRR (2021)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. MED (2021)
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations. IEEE Trans. Autom. Control. 66 (6) (2021)
Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
Graph structure based Heuristics for Optimal Targeting in Social Networks. CoRR (2021)
Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach. CoRR (2020)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Social network analysis of electric vehicles adoption: a data-based approach. ICHMS (2020)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Social network analysis of electric vehicles adoption: a data-based approach. CoRR (2020)
Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
On the Design of Structured Stabilizers for LTI Systems. IEEE Control. Syst. Lett. 4 (2) (2020)
Giulio Coluccia, Cinzia Lastri, Donatella Guzzi, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Ivan Pippi, Valentina Raimondi, Chiara Ravazzi, Florin Garoi, Daniela Coltuc, Raffaele Vitulli, Alessandro Zuccaro Marchi
Optical Compressive Imaging Technologies for Space Big Data. IEEE Trans. Big Data 6 (3) (2020)
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
Learning Political DNA in the Italian Senate. ECC (2019)
Chiara Ravazzi, Nelson P. K. Chan, Paolo Frasca
Distributed Estimation From Relative Measurements of Heterogeneous and Uncertain Quality. IEEE Trans. Signal Inf. Process. over Networks 5 (2) (2019)
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. Pattern Recognit. Lett. 128 (2019)
Angelo Coluccia, Fabrizio Dabbene, Chiara Ravazzi
Bayesian Identification of Distributed Vector AutoRegressive Processes. ECC (2019)
Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. CoRR (2019)
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Randomized opinion dynamics over networks: influence estimation from partial observations. CDC (2018)
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
Learning Political DNA in the Italian Senate. CoRR (2018)
Chiara Ravazzi, Enrico Magli
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models. EURASIP J. Adv. Signal Process. 2018 (2018)
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
Randomized opinion dynamics over networks: influence estimation from partial observations. CoRR (2018)
Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
Learning Influence Structure in Sparse Social Networks. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Anton V. Proskurnikov, Chiara Ravazzi, Fabrizio Dabbene
Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions. Online Soc. Networks Media 7 (2018)
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
Sparsity estimation from compressive projections via sparse random matrices. EURASIP J. Adv. Signal Process. 2018 (2018)
Chiara Ravazzi, Giulio Coluccia, Enrico Magli
Image reconstruction from partial Fourier measurements via curl constrained sparse gradient estimation. ICASSP (2017)
Chiara Ravazzi, Giulio Coluccia, Enrico Magli
Curl-Constrained Gradient Estimation for Image Recovery From Highly Incomplete Spectral Data. IEEE Trans. Image Process. 26 (6) (2017)
Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
Influence estimation in sparse social networks. CDC (2017)
Chiara Ravazzi, Nelson P. K. Chan, Paolo Frasca
Distributed estimation from relative measurements of heterogeneous and uncertain quality. CoRR (2017)
Chiara Ravazzi, Enrico Magli
Laplace mixtures models for efficient compressed sensing with side information. ICASSP (2017)
Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. CoRR (2017)
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops (2016)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. IEEE Trans. Signal Process. 64 (6) (2016)
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. ICASSP (2016)
Chiara Ravazzi, Enrico Magli
Bayesian tuning for support detection and sparse signal estimation via iterative shrinkage-thresholding. ICASSP (2016)
Chiara Ravazzi, Enrico Magli
Fast and robust EM-based IRLS algorithm for sparse signal recovery from noisy measurements. ICASSP (2015)
Paolo Frasca, Hideaki Ishii, Chiara Ravazzi, Roberto Tempo
Distributed randomized algorithms for opinion formation, centrality computation and power systems estimation: A tutorial overview. Eur. J. Control 24 (2015)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
-Regularized Linear Inverse Problems. IEEE Trans. Inf. Theory 61 (4) (2015)
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
Ergodic Randomized Algorithms and Dynamics Over Networks. IEEE Trans. Control. Netw. Syst. 2 (1) (2015)
Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
Dictionary design for sensor network localization via block-sparsity. MMSP (2015)
Chiara Ravazzi, Enrico Magli
Gaussian Mixtures Based IRLS for Sparse Recovery With Quadratic Convergence. IEEE Trans. Signal Process. 63 (13) (2015)
Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
Block-sparsity-based localization in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2015 (2015)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Energy-saving gossip algorithm for compressed sensing in multi-agent systems. ICASSP (2014)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
A Distributed Classification/Estimation Algorithm for Sensor Networks. SIAM J. Control. Optim. 52 (1) (2014)
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
Almost sure convergence of a randomized algorithm for relative localization in sensor networks. CDC (2013)
Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. PCS (2013)
Chiara Ravazzi, Paolo Frasca, Hideaki Ishii, Roberto Tempo
A distributed randomized algorithm for relative localization in sensor networks. ECC (2013)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Distributed soft thresholding for sparse signal recovery. GLOBECOM (2013)
Paolo Frasca, Chiara Ravazzi, Roberto Tempo, Hideaki Ishii
Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks CoRR (2013)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Distributed soft thresholding for sparse signal recovery CoRR (2013)
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
Almost sure convergence of a randomized algorithm for relative localization in sensor networks CoRR (2013)
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
Ergodic Randomized Algorithms and Dynamics over Networks. CoRR (2013)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
A distributed classification/estimation algorithm for sensor networks CoRR (2012)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
A large scale analysis of a classification algorithm over sensor networks. CDC (2012)
Chiara Ravazzi, Fabio Fagnani
On the Growth Rate of the Input-Output Weight Distribution of Convolutional Encoders. SIAM J. Discret. Math. 26 (3) (2012)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
Input driven consensus algorithm for distributed estimation and classification in sensor networks. CDC/ECC (2011)
Chiara Ravazzi, Fabio Fagnani
Hayman-like techniques for computing input-output weight distribution of convolutional encoders. ISIT (2010)
Chiara Ravazzi, Fabio Fagnani
Spectra and minimum distances of repeat multiple-accumulate codes. IEEE Trans. Inf. Theory 55 (11) (2009)