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2020 – today
- 2024
[j30]Roberta Raineri
, Chiara Ravazzi, Giacomo Como, Fabio Fagnani:
Detecting Stubborn Behaviors in Influence Networks: A Model-Based Approach for Resilient Analysis. IEEE Control. Syst. Lett. 8: 2343-2348 (2024)- [j29]Gabriel O. Ferreira, André Felipe Zanella, Stefanos Bakirtzis, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Ian James Wassell, Jie Zhang, Marco Fiore:
A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks. IEEE J. Sel. Areas Commun. 42(11): 3232-3245 (2024) - [j28]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): 2314-2331 (2024) - [j27]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: 277-293 (2024) - [i16]Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli:
Optimal policy design for decision problems under social influence. CoRR abs/2406.07282 (2024) - 2023
- [j26]Alessio Fascista, Angelo Coluccia, Chiara Ravazzi:
A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks. IEEE Access 11: 227-248 (2023) - [j25]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: 6018-6044 (2023) - [j24]Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable:
Asynchronous Semianonymous Dynamics over Large-Scale Networks. SIAM J. Appl. Dyn. Syst. 22(2): 1300-1343 (2023) - [j23]Chiara Ravazzi, Francesco Bullo, Fabrizio Dabbene:
Unveiling Oligarchy in Influence Networks From Partial Information. IEEE Trans. Control. Netw. Syst. 10(3): 1279-1290 (2023) - 2022
- [j22]Chiara Ravazzi, Francesco Malandrino, Fabrizio Dabbene:
Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. IEEE Control. Syst. Lett. 6: 2960-2965 (2022) - [j21]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): 1189-1201 (2022) - [j20]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): 1666-1678 (2022) - 2021
- [j19]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): 2709-2723 (2021) - [c21]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: 311-316 - [i15]Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi:
On the Design of Structured Stabilizers for LTI Systems. CoRR abs/2101.06718 (2021) - [i14]Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable:
Asynchronous semi-anonymous dynamics over large-scale networks. CoRR abs/2102.03840 (2021) - [i13]Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene:
Graph structure based Heuristics for Optimal Targeting in Social Networks. CoRR abs/2105.02133 (2021) - 2020
- [j18]Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi:
On the Design of Structured Stabilizers for LTI Systems. IEEE Control. Syst. Lett. 4(2): 289-294 (2020) - [j17]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): 430-442 (2020) - [c20]Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene:
Social network analysis of electric vehicles adoption: a data-based approach. ICHMS 2020: 1-4 - [i12]Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene:
Social network analysis of electric vehicles adoption: a data-based approach. CoRR abs/2001.09704 (2020) - [i11]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 abs/2007.06713 (2020)
2010 – 2019
- 2019
- [j16]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: 93-99 (2019) - [j15]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): 203-217 (2019) - [c19]Angelo Coluccia, Fabrizio Dabbene, Chiara Ravazzi:
Bayesian Identification of Distributed Vector AutoRegressive Processes. ECC 2019: 842-847 - [c18]Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore:
Learning Political DNA in the Italian Senate. ECC 2019: 3526-3531 - [i10]Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. CoRR abs/1909.01802 (2019) - 2018
- [j14]Chiara Ravazzi, Enrico Magli:
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models. EURASIP J. Adv. Signal Process. 2018: 46 (2018) - [j13]Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Sparsity estimation from compressive projections via sparse random matrices. EURASIP J. Adv. Signal Process. 2018: 56 (2018) - [j12]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: 45-59 (2018) - [j11]Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene:
Learning Influence Structure in Sparse Social Networks. IEEE Trans. Control. Netw. Syst. 5(4): 1976-1986 (2018) - [c17]Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene:
Randomized opinion dynamics over networks: influence estimation from partial observations. CDC 2018: 2452-2457 - [i9]Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene:
Randomized opinion dynamics over networks: influence estimation from partial observations. CoRR abs/1804.07220 (2018) - [i8]Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore:
Learning Political DNA in the Italian Senate. CoRR abs/1812.07940 (2018) - 2017
- [j10]Chiara Ravazzi, Giulio Coluccia, Enrico Magli:
Curl-Constrained Gradient Estimation for Image Recovery From Highly Incomplete Spectral Data. IEEE Trans. Image Process. 26(6): 2656-2668 (2017) - [c16]Chiara Ravazzi, Roberto Tempo, Fabrizio Dabbene:
Influence estimation in sparse social networks. CDC 2017: 775-780 - [c15]Chiara Ravazzi, Enrico Magli:
Laplace mixtures models for efficient compressed sensing with side information. ICASSP 2017: 4361-4365 - [c14]Chiara Ravazzi, Giulio Coluccia, Enrico Magli:
Image reconstruction from partial Fourier measurements via curl constrained sparse gradient estimation. ICASSP 2017: 4745-4749 - [i7]Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli:
GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. CoRR abs/1707.02244 (2017) - [i6]Chiara Ravazzi, Nelson P. K. Chan, Paolo Frasca:
Distributed estimation from relative measurements of heterogeneous and uncertain quality. CoRR abs/1710.08632 (2017) - 2016
- [j9]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. IEEE Trans. Signal Process. 64(6): 1420-1434 (2016) - [c13]Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. ICASSP 2016: 4029-4033 - [c12]Chiara Ravazzi, Enrico Magli:
Bayesian tuning for support detection and sparse signal estimation via iterative shrinkage-thresholding. ICASSP 2016: 4628-4632 - [c11]Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops 2016: 1-6 - 2015
- [j8]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: 2-13 (2015) - [j7]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: 182 (2015) - [j6]Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii:
Ergodic Randomized Algorithms and Dynamics Over Networks. IEEE Trans. Control. Netw. Syst. 2(1): 78-87 (2015) - [j5]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Distributed Iterative Thresholding for ℓ0/ℓ1-Regularized Linear Inverse Problems. IEEE Trans. Inf. Theory 61(4): 2081-2100 (2015) - [j4]Chiara Ravazzi, Enrico Magli:
Gaussian Mixtures Based IRLS for Sparse Recovery With Quadratic Convergence. IEEE Trans. Signal Process. 63(13): 3474-3489 (2015) - [c10]Chiara Ravazzi, Enrico Magli:
Fast and robust EM-based IRLS algorithm for sparse signal recovery from noisy measurements. ICASSP 2015: 3841-3845 - [c9]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: 1-6 - 2014
- [j3]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
A Distributed Classification/Estimation Algorithm for Sensor Networks. SIAM J. Control. Optim. 52(1): 189-218 (2014) - [c8]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Energy-saving gossip algorithm for compressed sensing in multi-agent systems. ICASSP 2014: 5060-5064 - 2013
- [c7]Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii:
Almost sure convergence of a randomized algorithm for relative localization in sensor networks. CDC 2013: 4778-4783 - [c6]Chiara Ravazzi, Paolo Frasca, Hideaki Ishii, Roberto Tempo:
A distributed randomized algorithm for relative localization in sensor networks. ECC 2013: 1776-1781 - [c5]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Distributed soft thresholding for sparse signal recovery. GLOBECOM 2013: 3429-3434 - [c4]Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli:
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. PCS 2013: 325-328 - [i5]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Distributed soft thresholding for sparse signal recovery. CoRR abs/1301.2130 (2013) - [i4]Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii:
Almost sure convergence of a randomized algorithm for relative localization in sensor networks. CoRR abs/1303.2830 (2013) - [i3]Paolo Frasca, Chiara Ravazzi, Roberto Tempo, Hideaki Ishii:
Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks. CoRR abs/1304.2268 (2013) - [i2]Chiara Ravazzi, Paolo Frasca, Roberto Tempo, Hideaki Ishii:
Ergodic Randomized Algorithms and Dynamics over Networks. CoRR abs/1309.1349 (2013) - 2012
- [j2]Chiara Ravazzi, Fabio Fagnani:
On the Growth Rate of the Input-Output Weight Distribution of Convolutional Encoders. SIAM J. Discret. Math. 26(3): 1310-1345 (2012) - [c3]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
A large scale analysis of a classification algorithm over sensor networks. CDC 2012: 4835-4839 - [i1]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
A distributed classification/estimation algorithm for sensor networks. CoRR abs/1206.3793 (2012) - 2011
- [c2]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
Input driven consensus algorithm for distributed estimation and classification in sensor networks. CDC/ECC 2011: 6654-6659 - 2010
- [c1]Chiara Ravazzi, Fabio Fagnani:
Hayman-like techniques for computing input-output weight distribution of convolutional encoders. ISIT 2010: 1110-1114
2000 – 2009
- 2009
- [j1]Chiara Ravazzi, Fabio Fagnani:
Spectra and minimum distances of repeat multiple-accumulate codes. IEEE Trans. Inf. Theory 55(11): 4905-4924 (2009)
Coauthor Index
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