Chiara Ravazzi

81 papers B 2C 2Misc 6Journal 58Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model Predictive Control for Coupled Adoption-Opinion Dynamics.
CoRR
Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi
2026 J jnl
On a Coupled Adoption-Opinion Framework for Competing Innovations.
CoRR
Martina Alutto, Fabrizio Dabbene, Angela Fontan, Karl Henrik Johansson, Chiara Ravazzi
2026 J jnl
Unraveling Urban Mobility: A Domain Knowledge-Free Trajectory Classification Using Gramian Angular Fields.
IEEE Trans. Intell. Transp. Syst.
Gabriel O. Ferreira, Fabrizio Dabbene, Francesco Malandrino, Chiara Ravazzi
2025 J jnl
A Coupled Friedkin-Johnsen Model of Popularity Dynamics in Social Media.
CoRR
Gaya Cocca, Paolo Frasca, Chiara Ravazzi
2025 J jnl
A Coupled Friedkin-Johnsen Model of Popularity Dynamics in Social Media.
IEEE Control. Syst. Lett.
Gaya Cocca, Paolo Frasca, Chiara Ravazzi
2025 J jnl
Dominance or Fair Play in Social Networks? A Model of Influencer Popularity Dynamic.
CoRR
Franco Galante, Chiara Ravazzi, Luca Vassio, Michele Garetto, Emilio Leonardi
2025 — conf
Dominance or Fair Play in Social Networks? A Model of Influencer Popularity Dynamics.
ASONAM (2)
Franco Galante, Chiara Ravazzi, Luca Vassio, Michele Garetto, Emilio Leonardi
2025 J jnl
Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts.
IEEE Control. Syst. Lett.
Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025 J jnl
Innovation diffusion dynamics toward long-term behavioral shifts.
CoRR
Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025 — conf
Model Predictive Control for Coupled Adoption-Opinion Dynamics.
CDC
Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi
2025 J jnl
Modeling and Control of Sustainable Transitions through Opinion-Behavior Coupling in Heterogeneous Networks.
CoRR
Martina Alutto, Sofia Bellotti, Fabrizio Dabbene, Chiara Ravazzi
2025 J jnl
Optimal Policy Design for Repeated Decision-Making under Social Influence.
CoRR
Chiara Ravazzi, Valentina Breschi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
2025 J jnl
Optimal policy design for innovation diffusion: shaping today's incentives for transforming the future.
CoRR
Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025 J jnl
Power Minimization and Resource Allocation in HetNets With Uncertain Channel Gains.
IEEE Commun. Lett.
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
2024 J jnl
A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks.
IEEE J. Sel. Areas Commun.
Gabriel O. Ferreira, André Felipe Zanella, Stefanos Bakirtzis, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Ian James Wassell, Jie Zhang, Marco Fiore
2024 J jnl
Detecting Stubborn Behaviors in Influence Networks: A Model-Based Approach for Resilient Analysis.
IEEE Control. Syst. Lett.
Roberta Raineri, Chiara Ravazzi, Giacomo Como, Fabio Fagnani
2024 J jnl
Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification.
IEEE Trans. Signal Inf. Process. over Networks
Alessio Fascista, Angelo Coluccia, Chiara Ravazzi
2024 J jnl
Optimal policy design for decision problems under social influence.
CoRR
Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
2024 J jnl
Planning Interventions in a Controlled Pandemic: The COVID-19 Case.
IEEE Trans. Netw. Sci. Eng.
Franco Galante, Chiara Ravazzi, Michele Garetto, Emilio Leonardi
2023 J jnl
A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks.
IEEE Access
Alessio Fascista, Angelo Coluccia, Chiara Ravazzi
2023 J jnl
Asynchronous Semianonymous Dynamics over Large-Scale Networks.
SIAM J. Appl. Dyn. Syst.
Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable
2023 J jnl
Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation.
IEEE Access
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Marco Fiore
2023 J jnl
Unveiling Oligarchy in Influence Networks From Partial Information.
IEEE Trans. Control. Netw. Syst.
Chiara Ravazzi, Francesco Bullo, Fabrizio Dabbene
2022 J jnl
Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach.
IEEE Trans. Control. Netw. Syst.
Valentina Breschi, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene, Mara Tanelli
2022 J jnl
Graph Structure-Based Heuristics for Optimal Targeting in Social Networks.
IEEE Trans. Control. Netw. Syst.
Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
2022 J jnl
Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks.
IEEE Control. Syst. Lett.
Chiara Ravazzi, Francesco Malandrino, Fabrizio Dabbene
2021 J jnl
Asynchronous semi-anonymous dynamics over large-scale networks.
CoRR
Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable
2021 — conf
Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach.
MED
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2021 J jnl
Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations.
IEEE Trans. Autom. Control.
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2021 J jnl
Graph structure based Heuristics for Optimal Targeting in Social Networks.
CoRR
Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene
2021 J jnl
On the Design of Structured Stabilizers for LTI Systems.
CoRR
Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
2020 J jnl
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach.
CoRR
Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov
2020 J jnl
On the Design of Structured Stabilizers for LTI Systems.
IEEE Control. Syst. Lett.
Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi
2020 J jnl
Optical Compressive Imaging Technologies for Space Big Data.
IEEE Trans. Big Data
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
2020 — conf
Social network analysis of electric vehicles adoption: a data-based approach.
ICHMS
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2020 J jnl
Social network analysis of electric vehicles adoption: a data-based approach.
CoRR
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2019 J jnl
Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections.
Pattern Recognit. Lett.
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2019 J jnl
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections.
CoRR
Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2019 — conf
Bayesian Identification of Distributed Vector AutoRegressive Processes.
ECC
Angelo Coluccia, Fabrizio Dabbene, Chiara Ravazzi
2019 J jnl
Distributed Estimation From Relative Measurements of Heterogeneous and Uncertain Quality.
IEEE Trans. Signal Inf. Process. over Networks
Chiara Ravazzi, Nelson P. K. Chan, Paolo Frasca
2019 — conf
Learning Political DNA in the Italian Senate.
ECC
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
2018 J jnl
Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions.
Online Soc. Networks Media
Anton V. Proskurnikov, Chiara Ravazzi, Fabrizio Dabbene
2018 J jnl
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models.
EURASIP J. Adv. Signal Process.
Chiara Ravazzi, Enrico Magli
2018 J jnl
Learning Influence Structure in Sparse Social Networks.
IEEE Trans. Control. Netw. Syst.
Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
2018 J jnl
Learning Political DNA in the Italian Senate.
CoRR
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore
2018 — conf
Randomized opinion dynamics over networks: influence estimation from partial observations.
CDC
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2018 J jnl
Randomized opinion dynamics over networks: influence estimation from partial observations.
CoRR
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
2018 J jnl
Sparsity estimation from compressive projections via sparse random matrices.
EURASIP J. Adv. Signal Process.
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2017 J jnl
Curl-Constrained Gradient Estimation for Image Recovery From Highly Incomplete Spectral Data.
IEEE Trans. Image Process.
Chiara Ravazzi, Giulio Coluccia, Enrico Magli
2017 J jnl
Distributed estimation from relative measurements of heterogeneous and uncertain quality.
CoRR
Chiara Ravazzi, Nelson P. K. Chan, Paolo Frasca
2017 J jnl
GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring.
CoRR
Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
2017 Misc conf
Image reconstruction from partial Fourier measurements via curl constrained sparse gradient estimation.
ICASSP
Chiara Ravazzi, Giulio Coluccia, Enrico Magli
2017 — conf
Influence estimation in sparse social networks.
CDC
Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene
2017 Misc conf
Laplace mixtures models for efficient compressed sensing with side information.
ICASSP
Chiara Ravazzi, Enrico Magli
2016 Misc conf
Bayesian tuning for support detection and sparse signal estimation via iterative shrinkage-thresholding.
ICASSP
Chiara Ravazzi, Enrico Magli
2016 J jnl
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints.
IEEE Trans. Signal Process.
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2016 Misc conf
Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices.
ICASSP
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2016 — conf
SparseHash: Embedding Jaccard coefficient between supports of signals.
ICME Workshops
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2015 J jnl
Block-sparsity-based localization in wireless sensor networks.
EURASIP J. Wirel. Commun. Netw.
Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
2015 C conf
Dictionary design for sensor network localization via block-sparsity.
MMSP
Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
2015 J jnl
Distributed Iterative Thresholding for ℓ
IEEE Trans. Inf. Theory
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2015 J jnl
Distributed randomized algorithms for opinion formation, centrality computation and power systems estimation: A tutorial overview.
Eur. J. Control
Paolo Frasca, Hideaki Ishii, Chiara Ravazzi, Roberto Tempo
2015 J jnl
Ergodic Randomized Algorithms and Dynamics Over Networks.
IEEE Trans. Control. Netw. Syst.
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
2015 Misc conf
Fast and robust EM-based IRLS algorithm for sparse signal recovery from noisy measurements.
ICASSP
Chiara Ravazzi, Enrico Magli
2015 J jnl
Gaussian Mixtures Based IRLS for Sparse Recovery With Quadratic Convergence.
IEEE Trans. Signal Process.
Chiara Ravazzi, Enrico Magli
2014 J jnl
A Distributed Classification/Estimation Algorithm for Sensor Networks.
SIAM J. Control. Optim.
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2014 Misc conf
Energy-saving gossip algorithm for compressed sensing in multi-agent systems.
ICASSP
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2013 — conf
A distributed randomized algorithm for relative localization in sensor networks.
ECC
Chiara Ravazzi, Paolo Frasca, Hideaki Ishii, Roberto Tempo
2013 J jnl
Almost sure convergence of a randomized algorithm for relative localization in sensor networks
CoRR
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
2013 — conf
Almost sure convergence of a randomized algorithm for relative localization in sensor networks.
CDC
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
2013 J jnl
Distributed soft thresholding for sparse signal recovery
CoRR
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2013 B conf
Distributed soft thresholding for sparse signal recovery.
GLOBECOM
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2013 J jnl
Ergodic Randomized Algorithms and Dynamics over Networks.
CoRR
Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii
2013 J jnl
Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks
CoRR
Paolo Frasca, Chiara Ravazzi, Roberto Tempo, Hideaki Ishii
2013 C conf
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery.
PCS
Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
2012 J jnl
A distributed classification/estimation algorithm for sensor networks
CoRR
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2012 — conf
A large scale analysis of a classification algorithm over sensor networks.
CDC
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2012 J jnl
On the Growth Rate of the Input-Output Weight Distribution of Convolutional Encoders.
SIAM J. Discret. Math.
Chiara Ravazzi, Fabio Fagnani
2011 — conf
Input driven consensus algorithm for distributed estimation and classification in sensor networks.
CDC/ECC
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2010 B conf
Hayman-like techniques for computing input-output weight distribution of convolutional encoders.
ISIT
Chiara Ravazzi, Fabio Fagnani
2009 J jnl
Spectra and minimum distances of repeat multiple-accumulate codes.
IEEE Trans. Inf. Theory
Chiara Ravazzi, Fabio Fagnani