Spectra and minimum distances of repeat multiple-accumulate codes. - Chiara Ravazzi; Fabio Fagnani (IEEE Trans. Inf. Theory, 2009)

Hayman-like techniques for computing input-output weight distribution of convolutional encoders. - Chiara Ravazzi; Fabio Fagnani (ISIT, 2010)

Input driven consensus algorithm for distributed estimation and classification in sensor networks. - Fabio Fagnani; Sophie M. Fosson; Chiara Ravazzi (CDC/ECC, 2011)

A large scale analysis of a classification algorithm over sensor networks. - Fabio Fagnani; Sophie M. Fosson; Chiara Ravazzi (CDC, 2012)

On the Growth Rate of the Input-Output Weight Distribution of Convolutional Encoders. - Chiara Ravazzi; Fabio Fagnani (SIAM J. Discret. Math., 2012)

Almost sure convergence of a randomized algorithm for relative localization in sensor networks. - Chiara Ravazzi; Paolo Frasca; Roberto Tempo; Hideaki Ishii (CDC, 2013)

A distributed randomized algorithm for relative localization in sensor networks. - Chiara Ravazzi; Paolo Frasca; Hideaki Ishii; Roberto Tempo (ECC, 2013)

Distributed soft thresholding for sparse signal recovery. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (GLOBECOM, 2013)

PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. - Attilio Fiandrotti; Sophie M. Fosson; Chiara Ravazzi; Enrico Magli (PCS, 2013)

Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks - Paolo Frasca; Chiara Ravazzi; Roberto Tempo; Hideaki Ishii (CoRR, 2013)

Energy-saving gossip algorithm for compressed sensing in multi-agent systems. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (ICASSP, 2014)

A Distributed Classification/Estimation Algorithm for Sensor Networks. - Fabio Fagnani; Sophie M. Fosson; Chiara Ravazzi (SIAM J. Control. Optim., 2014)

Fast and robust EM-based IRLS algorithm for sparse signal recovery from noisy measurements. - Chiara Ravazzi; Enrico Magli (ICASSP, 2015)

Dictionary design for sensor network localization via block-sparsity. - Alessandro Bay; Diego Carrera; Sophie M. Fosson; Pasqualina Fragneto; Marco Grella; Chiara Ravazzi; Enrico Magli (MMSP, 2015)

Distributed randomized algorithms for opinion formation, centrality computation and power systems estimation: A tutorial overview. - Paolo Frasca; Hideaki Ishii; Chiara Ravazzi; Roberto Tempo (Eur. J. Control, 2015)

Block-sparsity-based localization in wireless sensor networks. - Alessandro Bay; Diego Carrera; Sophie M. Fosson; Pasqualina Fragneto; Marco Grella; Chiara Ravazzi; Enrico Magli (EURASIP J. Wirel. Commun. Netw., 2015)

Ergodic Randomized Algorithms and Dynamics Over Networks. - Chiara Ravazzi; Paolo Frasca; Roberto Tempo; Hideaki Ishii (IEEE Trans. Control. Netw. Syst., 2015)

Distributed Iterative Thresholding for ℓ0/ℓ1-Regularized Linear Inverse Problems. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (IEEE Trans. Inf. Theory, 2015)

Gaussian Mixtures Based IRLS for Sparse Recovery With Quadratic Convergence. - Chiara Ravazzi; Enrico Magli (IEEE Trans. Signal Process., 2015)

Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. - Chiara Ravazzi; Sophie M. Fosson; Tiziano Bianchi; Enrico Magli (ICASSP, 2016)

Bayesian tuning for support detection and sparse signal estimation via iterative shrinkage-thresholding. - Chiara Ravazzi; Enrico Magli (ICASSP, 2016)

SparseHash: Embedding Jaccard coefficient between supports of signals. - Diego Valsesia; Sophie M. Fosson; Chiara Ravazzi; Tiziano Bianchi; Enrico Magli (ICME Workshops, 2016)

Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (IEEE Trans. Signal Process., 2016)

Influence estimation in sparse social networks. - Chiara Ravazzi; Roberto Tempo; Fabrizio Dabbene (CDC, 2017)

Image reconstruction from partial Fourier measurements via curl constrained sparse gradient estimation. - Chiara Ravazzi; Giulio Coluccia; Enrico Magli (ICASSP, 2017)

Laplace mixtures models for efficient compressed sensing with side information. - Chiara Ravazzi; Enrico Magli (ICASSP, 2017)

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. - Attilio Fiandrotti; Sophie M. Fosson; Chiara Ravazzi; Enrico Magli (CoRR, 2017)

Curl-Constrained Gradient Estimation for Image Recovery From Highly Incomplete Spectral Data. - Chiara Ravazzi; Giulio Coluccia; Enrico Magli (IEEE Trans. Image Process., 2017)

Randomized opinion dynamics over networks: influence estimation from partial observations. - Chiara Ravazzi; Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (CDC, 2018)

Sparsity estimation from compressive projections via sparse random matrices. - Chiara Ravazzi; Sophie M. Fosson; Tiziano Bianchi; Enrico Magli (EURASIP J. Adv. Signal Process., 2018)

Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models. - Chiara Ravazzi; Enrico Magli (EURASIP J. Adv. Signal Process., 2018)

Dynamics and structure of social networks from a systems and control viewpoint: A survey of Roberto Tempo's contributions. - Anton V. Proskurnikov; Chiara Ravazzi; Fabrizio Dabbene (Online Soc. Networks Media, 2018)

Learning Influence Structure in Sparse Social Networks. - Chiara Ravazzi; Roberto Tempo; Fabrizio Dabbene (IEEE Trans. Control. Netw. Syst., 2018)

Bayesian Identification of Distributed Vector AutoRegressive Processes. - Angelo Coluccia; Fabrizio Dabbene; Chiara Ravazzi (ECC, 2019)

Learning Political DNA in the Italian Senate. - Antonio Longo; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore (ECC, 2019)

Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. - Diego Valsesia; Sophie M. Fosson; Chiara Ravazzi; Tiziano Bianchi; Enrico Magli (Pattern Recognit. Lett., 2019)

Distributed Estimation From Relative Measurements of Heterogeneous and Uncertain Quality. - Chiara Ravazzi; Nelson P. K. Chan; Paolo Frasca (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Social network analysis of electric vehicles adoption: a data-based approach. - Valentina Breschi; Mara Tanelli; Chiara Ravazzi; Silvia Carla Strada; Fabrizio Dabbene (ICHMS, 2020)

Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach. - Chiara Ravazzi; Fabrizio Dabbene; Constantino Lagoa; Anton V. Proskurnikov (CoRR, 2020)

On the Design of Structured Stabilizers for LTI Systems. - Francesco Ferrante; Fabrizio Dabbene; Chiara Ravazzi (IEEE Control. Syst. Lett., 2020)

Optical Compressive Imaging Technologies for Space 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; et al. (IEEE Trans. Big Data, 2020)

Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. - Valentina Breschi; Mara Tanelli; Chiara Ravazzi; Silvia Carla Strada; Fabrizio Dabbene (MED, 2021)

Asynchronous semi-anonymous dynamics over large-scale networks. - Chiara Ravazzi; Giacomo Como; Michele Garetto; Emilio Leonardi; Alberto Tarable (CoRR, 2021)

Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations. - Chiara Ravazzi; Sarah Hojjatinia; Constantino M. Lagoa; Fabrizio Dabbene (IEEE Trans. Autom. Control., 2021)

Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. - Chiara Ravazzi; Francesco Malandrino; Fabrizio Dabbene (IEEE Control. Syst. Lett., 2022)

Graph Structure-Based Heuristics for Optimal Targeting in Social Networks. - Massimo Bini; Paolo Frasca; Chiara Ravazzi; Fabrizio Dabbene (IEEE Trans. Control. Netw. Syst., 2022)

Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. - Valentina Breschi; Chiara Ravazzi; Silvia Carla Strada; Fabrizio Dabbene; Mara Tanelli (IEEE Trans. Control. Netw. Syst., 2022)

A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks. - Alessio Fascista; Angelo Coluccia; Chiara Ravazzi (IEEE Access, 2023)

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation. - Gabriel O. Ferreira; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore; Marco Fiore 001 (IEEE Access, 2023)

Asynchronous Semianonymous Dynamics over Large-Scale Networks. - Chiara Ravazzi; Giacomo Como; Michele Garetto; Emilio Leonardi; Alberto Tarable (SIAM J. Appl. Dyn. Syst., 2023)

Unveiling Oligarchy in Influence Networks From Partial Information. - Chiara Ravazzi; Francesco Bullo; Fabrizio Dabbene (IEEE Trans. Control. Netw. Syst., 2023)

Optimal policy design for decision problems under social influence. - Valentina Breschi; Chiara Ravazzi; Paolo Frasca; Fabrizio Dabbene; Mara Tanelli (CoRR, 2024)

Detecting Stubborn Behaviors in Influence Networks: A Model-Based Approach for Resilient Analysis. - Roberta Raineri; Chiara Ravazzi; Giacomo Como; Fabio Fagnani (IEEE Control. Syst. Lett., 2024)

Planning Interventions in a Controlled Pandemic: The COVID-19 Case. - Franco Galante; Chiara Ravazzi; Michele Garetto; Emilio Leonardi (IEEE Trans. Netw. Sci. Eng., 2024)

Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification. - Alessio Fascista; Angelo Coluccia; Chiara Ravazzi (IEEE Trans. Signal Inf. Process. over Networks, 2024)

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks. - Gabriel O. Ferreira; André Felipe Zanella; Stefanos Bakirtzis; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore; Ian James Wassell; Jie Zhang 003; Marco Fiore 001 (IEEE J. Sel. Areas Commun., 2024)

A Coupled Friedkin-Johnsen Model of Popularity Dynamics in Social Media. - Gaya Cocca; Paolo Frasca; Chiara Ravazzi (IEEE Control. Syst. Lett., 2025)

Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts. - Lisa Piccinin; Valentina Breschi; Chiara Ravazzi; Fabrizio Dabbene; Mara Tanelli (IEEE Control. Syst. Lett., 2025)

Power Minimization and Resource Allocation in HetNets With Uncertain Channel Gains. - Gabriel O. Ferreira; Chiara Ravazzi; Fabrizio Dabbene; Giuseppe Carlo Calafiore (IEEE Commun. Lett., 2025)

Optimal Policy Design for Repeated Decision-Making under Social Influence. - Chiara Ravazzi; Valentina Breschi; Paolo Frasca; Fabrizio Dabbene; Mara Tanelli (CoRR, 2025)

Dominance or Fair Play in Social Networks? A Model of Influencer Popularity Dynamic. - Franco Galante; Chiara Ravazzi; Luca Vassio; Michele Garetto; Emilio Leonardi (CoRR, 2025)