Sequential detection of almost-harmonic signals. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2003)

Sequential testing of sorted and transformed data as an efficient way to implement long GLRTs. - Stefano Maranò 001; Peter Willett 001; Vincenzo Matta (IEEE Trans. Signal Process., 2003)

An idea for quantization with data association. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ICASSP (4), 2005)

Dumb isotropic sensors can find DOAs. - Vincenzo Matta; Stefano Maranò 001; Peter K. Willett; Lang Tong 001 (ICASSP (4), 2005)

DOA estimation via a network of dumb sensors under the SENMA paradigm. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001; Lang Tong 001 (IEEE Signal Process. Lett., 2005)

Some approaches to quantization for distributed estimation with data association. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2005)

Multiterminal inference and sensor networks. - Vincenzo Matta (2005)

Quantizer Design for Decentralized MMSE Estimation. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (CDC, 2006)

Locally optimum estimation in wireless sensor networks. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (EUSIPCO, 2006)

Sub-optimal all-sky detection of periodic gravitational waves. - Stefano Maranò 001; Vincenzo Matta (Signal Process., 2006)

Quantizer Precision for Distributed Estimation in a Large Sensor Network. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2006)

Support-based and ML approaches to DOA estimation in a dumb sensor network. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001; Lang Tong 001 (IEEE Trans. Signal Process., 2006)

Cross-Layer Design of Sequential Detectors in Sensor Networks. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001; Lang Tong 001 (IEEE Trans. Signal Process., 2006)

Practical DOA Estimation via a Network of DOA-Blind Sensors. - Marco Guerriero; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta (ICASSP (2), 2007)

Bandwidth Scaling for Efficient Inference Over a Power-Limited MAC. - Stefano Maranò 001; Vincenzo Matta; Lang Tong 001; Peter Willett 001 (ICASSP (3), 2007)

Fusing Evidences from Intracranial Pressure Data using Dempster-Shafer Theory. - Roberto Conte; Maurizio Longo; Stefano Maranò 001; Vincenzo Matta; F. Velardi (DSP, 2007)

Sequential Sampling in Sensor Networks for Detection With Censoring Nodes. - Paolo Addesso; Stefano Maranò 001; Vincenzo Matta (IEEE Trans. Signal Process., 2007)

A Likelihood-Based Multiple Access for Estimation in Sensor Networks. - Stefano Maranò 001; Vincenzo Matta; Lang Tong 001; Peter Willett 001 (IEEE Trans. Signal Process., 2007)

Asymptotic Design of Quantizers for Decentralized MMSE Estimation. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2007)

On the divergence-cost function in distributed detection with a secrecy constraint. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ACSCC, 2008)

Running consensus in wireless sensor networks. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta (FUSION, 2008)

Speedier sequential tests via stochastic resonance. - Marco Guerriero; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta (ICASSP, 2008)

Some aspects of DOA estimation using a network of blind sensors. - Marco Guerriero; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (Signal Process., 2008)

Enforcing Consensus While Monitoring the Environment in Wireless Sensor Networks. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta (IEEE Trans. Signal Process., 2008)

Distributed Estimation in Large Wireless Sensor Networks via a Locally Optimum Approach. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2008)

Distributed estimation with data association: Is the nearest neighbor the most informative? - Paolo Braca; Marco Guerriero; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (FUSION, 2009)

Stochastic Resonance in Sequential Detectors. - Marco Guerriero; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2009)

Distributed Detection in the Presence of Byzantine Attacks. - Stefano Maranò 001; Vincenzo Matta; Lang Tong 001 (IEEE Trans. Signal Process., 2009)

Distributed detection with censoring sensors under physical layer secrecy. - Stefano Maranò 001; Vincenzo Matta; Peter K. Willett (IEEE Trans. Signal Process., 2009)

The Bayesian unlucky broker. - Stefano Maranò 001; Vincenzo Matta; Fabio Mazzarella (EUSIPCO, 2010)

Asymptotically optimal power-constrained distributed estimation. - Marco Guerriero; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta (ICASSP, 2010)

Estimation of target location via likelihood approximation in sensor networks. - Paolo Addesso; Stefano Maranò 001; Vincenzo Matta (IEEE Trans. Signal Process., 2010)

Selective measurement transmission in distributed estimation with data association. - Paolo Braca; Marco Guerriero; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2010)

Asymptotic optimality of running consensus in testing binary hypotheses. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2010)

Optimal relay function in the low-power regime for distributed estimation over a MAC. - Marco Guerriero; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2010)

Refining decisions after losing data: the unlucky broker problem. - Stefano Maranò 001; Vincenzo Matta; Fabio Mazzarella (IEEE Trans. Signal Process., 2010)

Asymptotically consistent one-bit detection in large sensor networks. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta (EUSIPCO, 2011)

Quickest distributed detection via running consensus. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (EUSIPCO, 2011)

Embedding information flows into renewal traffic. - Stefano Maranò 001; Vincenzo Matta; Ting He 001; Lang Tong 001 (ITW, 2011)

Asymptotic Properties of One-Bit Distributed Detection with Ordered Transmissions - Paolo Braca; Stefano Maranò 001; Vincenzo Matta (CoRR, 2011)

Consensus-based Page's test in sensor networks. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (Signal Process., 2011)

Multitarget-multisensor ML and PHD: Some asymptotics. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (FUSION, 2012)

Predetection Fusion in Large Sensor Networks with Unknown Target Locations. - Ramona Georgescu; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta (J. Adv. Inf. Fusion, 2012)

Single-Transmission Distributed Detection via Order Statistics. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta (IEEE Trans. Signal Process., 2012)

Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity. - Paolo Braca; Kevin D. LePage; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta (FUSION, 2013)

Decentralized nearest-neighbor learning over noisy channels: The uncoded way. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (FUSION, 2013)

A linear complexity particle approach to the exact multi-sensor PHD. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ICASSP, 2013)

Nearest-Neighbor distributed learning under communication constraints. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ICASSP, 2013)

Asymptotic Efficiency of the PHD in Multitarget/Multisensor Estimation. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE J. Sel. Top. Signal Process., 2013)

The Embedding Capacity of Information Flows Under Renewal Traffic. - Stefano Maranò 001; Vincenzo Matta; Ting He 001; Lang Tong 001 (IEEE Trans. Inf. Theory, 2013)

Nearest-Neighbor Distributed Learning by Ordered Transmissions. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2013)

Nearest-neighbor estimation in sensor networks. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (EUSIPCO, 2014)

Cognitive multistatic AUV networks. - Paolo Braca; Ryan A. Goldhahn; Kevin D. LePage; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (FUSION, 2014)

Large deviations analysis of adaptive distributed detection. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Ali H. Sayed (ICASSP, 2014)

Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity. - Ryan A. Goldhahn; Paolo Braca; Kevin D. LePage; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta (ICASSP, 2014)

How many bits from how many sensors? A trade-off in distributed nearest-neighbor learning. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ICASSP, 2014)

Asymptotic Performance of Adaptive Distributed Detection over Networks. - Paolo Braca; Stefano Maranò 001; Vincenzo Matta; Ali H. Sayed (CoRR, 2014)

Achieving Perfect Secrecy by pdf-Bandlimited Jamming. - Stefano Maranò 001; Vincenzo Matta (IEEE Signal Process. Lett., 2014)

Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity. - Paolo Braca; Peter Willett 001; Kevin D. LePage; Stefano Maranò 001; Vincenzo Matta (IEEE Trans. Signal Process., 2014)

Exact asymptotics of distributed detection over adaptive networks. - Vincenzo Matta; Paolo Braca; Stefano Maranò 001; Ali H. Sayed (ICASSP, 2015)

Adaptive Bayesian tracking with unknown time-varying sensor network performance. - Giuseppe Papa; Paolo Braca; Steven Horn; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ICASSP, 2015)

Sensor Network Tomography: The Revenge of the Detected. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Process., 2015)

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation. - Vincenzo Matta; Paolo Braca; Stefano Maranò 001; Ali H. Sayed (EUSIPCO, 2016)

Botnet identification in randomized DDoS attacks. - Vincenzo Matta; Mario Di Mauro; Maurizio Longo (EUSIPCO, 2016)

One plus two may not equal two plus one in a social sensing network with unknown parameters. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (ICASSP, 2016)

Learning With Privacy in Consensus + Obfuscation. - Paolo Braca; Riccardo Lazzeretti; Stefano Maranò 001; Vincenzo Matta (IEEE Signal Process. Lett., 2016)

Multisensor adaptive bayesian tracking under time-varying target detection probability. - Giuseppe Papa; Paolo Braca; Steven Horn; Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Aerosp. Electron. Syst., 2016)

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime. - Vincenzo Matta; Paolo Braca; Stefano Maranò 001; Ali H. Sayed (IEEE Trans. Inf. Theory, 2016)

The Importance of Being Earnest: Social Sensing With Unknown Agent Quality. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001 (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Distributed Detection Over Adaptive Networks: Refined Asymptotics and the Role of Connectivity. - Vincenzo Matta; Paolo Braca; Stefano Maranò 001; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Guest Editorial Inference and Learning over Networks. - Vincenzo Matta; Cédric Richard; Venkatesh Saligrama; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Botnet identification in multi-clustered DDoS attacks. - Vincenzo Matta; Mario Di Mauro; Maurizio Longo (EUSIPCO, 2017)

Hypothesis testing in the presence of maxwell's daemon: signal detection by unlabeled observations. - Stefano Maranò 001; Vincenzo Matta; Peter Willett 001; Paolo Braca; Rick S. Blum (ICASSP, 2017)

DDoS Attacks With Randomized Traffic Innovation: Botnet Identification Challenges and Strategies. - Vincenzo Matta; Mario Di Mauro; Maurizio Longo (IEEE Trans. Inf. Forensics Secur., 2017)

Chernoff Test for Strong-or-Weak Radar Models. - Massimo Franceschetti; Stefano Maranò 001; Vincenzo Matta (IEEE Trans. Signal Process., 2017)

Tomography of Large Adaptive Networks under the Dense Latent Regime : Invited Paper. - Vincenzo Matta; Augusto Santos; Ali H. Sayed (ACSSC, 2018)

Divide-and-Conquer Tomography for Large-Scale Networks. - Augusto Santos; Vincenzo Matta; Ali H. Sayed (DSW, 2018)

Multiple Cyber-Threats Containment Via Kendall's Birth-Death-Immigration Model. - Vincenzo Matta; Mario Di Mauro; Maurizio Longo; Alfonso Farina (EUSIPCO, 2018)

Tomography of Adaptive Multi-Agent Networks Under Limited Observation. - Vincenzo Matta; Ali H. Sayed (ICASSP, 2018)

Consistent Tomography over Diffusion Networks under the Low-Observability Regime. - Augusto Santos; Vincenzo Matta; Ali H. Sayed (ISIT, 2018)

Cyber-Threat Mitigation Exploiting the Birth-Death-Immigration Model. - Vincenzo Matta; Mario Di Mauro; Maurizio Longo; Alfonso Farina (IEEE Trans. Inf. Forensics Secur., 2018)

Signal Amplitude Estimation and Detection From Unlabeled Binary Quantized Samples. - Guanyu Wang 001; Jiang Zhu 004; Rick S. Blum; Peter Willett 001; Stefano Maranò 001; Vincenzo Matta; Paolo Braca (IEEE Trans. Signal Process., 2018)

Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks. - Vincenzo Matta; Augusto Santos; Ali H. Sayed (ICASSP, 2019)

Adversarial Detection of Concealed VoIP Traffic. - Paolo Addesso; Michele Cirillo; Mario Di Mauro; Maurizio Longo; Vincenzo Matta (ICNC, 2019)

Graph Learning with Partial Observations: Role of Degree Concentration. - Vincenzo Matta; Augusto Santos; Ali H. Sayed (ISIT, 2019)

Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity? - Vincenzo Matta; Augusto Santos; Ali H. Sayed (CoRR, 2019)

Topology Inference over Networks with Nonlinear Coupling. - Augusto Santos; Vincenzo Matta; Ali H. Sayed (CoRR, 2019)

Interplay between Topology and Social Learning over Weak Graphs. - Vincenzo Matta; Virginia Bordignon; Augusto Santos; Ali H. Sayed (CoRR, 2019)

Inverse Graph Learning over Optimization Networks. - Vincenzo Matta; Augusto Santos; Ali H. Sayed (CoRR, 2019)

Consistent Tomography Under Partial Observations Over Adaptive Networks. - Vincenzo Matta; Ali H. Sayed (IEEE Trans. Inf. Theory, 2019)

Managing Information Constraints Over Networks Through the Lens of Configuration Functions. - Paolo Addesso; Vincenzo Matta (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Adaptation in Online Social Learning. - Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (EUSIPCO, 2020)

Social Learning with Partial Information Sharing. - Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (ICASSP, 2020)

Learning Graph Influence from Social Interactions. - Vincenzo Matta; Virginia Bordignon; Augusto Santos; Ali H. Sayed (ICASSP, 2020)

Graph Learning Under Partial Observability. - Vincenzo Matta; Augusto Santos; Ali H. Sayed (Proc. IEEE, 2020)

ADVoIP: Adversarial Detection of Encrypted and Concealed VoIP. - Paolo Addesso; Michele Cirillo; Mario Di Mauro; Vincenzo Matta (IEEE Trans. Inf. Forensics Secur., 2020)

Local Tomography of Large Networks Under the Low-Observability Regime. - Augusto Santos; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Inf. Theory, 2020)

Network Classifiers Based on Social Learning. - Virginia Bordignon; Stefan Vlaski; Vincenzo Matta; Ali H. Sayed (ICASSP, 2021)

Application-Layer DDOS Attacks with Multiple Emulation Dictionaries. - Michele Cirillo; Mario Di Mauro; Vincenzo Matta; Marco Tambasco (ICASSP, 2021)

Learning Bollobás-Riordan Graphs Under Partial Observability. - Michele Cirillo; Vincenzo Matta; Ali H. Sayed (ICASSP, 2021)

Distributed Adaptive Learning Under Communication Constraints. - Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (CoRR, 2021)

Adversarial Kendall's Model Towards Containment of Distributed Cyber-Threats. - Paolo Addesso; Mauro Barni; Mario Di Mauro; Vincenzo Matta (IEEE Trans. Inf. Forensics Secur., 2021)

Botnet Identification in DDoS Attacks With Multiple Emulation Dictionaries. - Michele Cirillo; Mario Di Mauro; Vincenzo Matta; Marco Tambasco (IEEE Trans. Inf. Forensics Secur., 2021)

Adaptive Social Learning. - Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Inf. Theory, 2021)

Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. - Roula Nassif; Stefan Vlaski; Marc Antonini; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (EUSIPCO, 2022)

Adaptive Diffusion with Compressed Communication. - Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (ICASSP, 2022)

Cyber-Threat Propagation over Network-Slicing Architectures. - Michele Cirillo; Mario Di Mauro; Vincenzo Matta; Giuseppe Basileo (ICASSP, 2022)

Distributed Bayesian Learning of Dynamic States. - Mert Kayaalp; Virginia Bordignon; Stefan Vlaski; Vincenzo Matta; Ali H. Sayed (CoRR, 2022)

Social Learning with Non-Bayesian Local Updates. - Virginia Bordignon; Mert Kayaalp; Vincenzo Matta; Ali H. Sayed (EUSIPCO, 2023)

Compressed Distributed Regression over Adaptive Networks. - Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (ICASSP, 2023)

The Role of Memory in Social Learning When Sharing Partial Opinions. - Michele Cirillo; Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (ICASSP, 2023)

Learning Dynamic Graphs under Partial Observability. - Michele Cirillo; Vincenzo Matta; Ali H. Sayed (ICASSP, 2023)

Memory-Aware Social Learning Under Partial Information Sharing. - Michele Cirillo; Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Signal Process., 2023)

Quantization for Decentralized Learning Under Subspace Constraints. - Roula Nassif; Stefan Vlaski; Marco Carpentiero; Vincenzo Matta; Marc Antonini; Ali H. Sayed (IEEE Trans. Signal Process., 2023)

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability. - Michele Cirillo; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Inf. Theory, 2023)

Partial Information Sharing Over Social Learning Networks. - Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Inf. Theory, 2023)

Learning From Heterogeneous Data Based on Social Interactions Over Graphs. - Virginia Bordignon; Stefan Vlaski; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Inf. Theory, 2023)

Adaptive Social Learning for Tracking Rare Transition Markov Chains. - Malek Khammassi; Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (EUSIPCO, 2024)

Social Learning with Adaptive Models. - Marco Carpentiero; Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (ICASSP, 2024)

Differential Error Feedback for Communication-Efficient Decentralized Optimization. - Roula Nassif; Stefan Vlaski; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (SAM, 2024)

Decentralized Fusion of Experts Over Networks. - Marco Carpentiero; Vincenzo Matta; Stefan Vlaski; Ali H. Sayed (MLSP, 2024)

Matching centralized learning performance via compressed decentralized learning with error feedback. - Roula Nassif; Marco Carpentiero; Stefan Vlaski; Vincenzo Matta; Ali H. Sayed (SPAWC, 2024)

Compressed Regression Over Adaptive Networks. - Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Socially Intelligent Networks: A framework for decision making over graphs. - Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (IEEE Signal Process. Mag., 2024)

Fundamental Social Learning Scaling Law for Tracking Hidden Markov Models. - Malek Khammassi; Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (ICASSP, 2025)

Social Learning with Dependent Agents. - Felice Scala; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (DSP, 2025)

Differential Error Feedback for Communication-Efficient Decentralized Learning. - Roula Nassif; Stefan Vlaski; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Signal Process., 2025)

Doubly Adaptive Social Learning. - Marco Carpentiero; Virginia Bordignon; Vincenzo Matta; Ali H. Sayed (CoRR, 2025)