Vincenzo Matta

147 papers B 3C 6Misc 27Journal 83Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Doubly Adaptive Social Learning. IEEE Trans. Signal Process. Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Adaptive Social Learning for Slow Markov Chains. IEEE Trans. Signal Process. Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Differential Error Feedback for Communication-Efficient Decentralized Learning. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Doubly Adaptive Social Learning. CoRR Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	Misc	`conf`	Fundamental Social Learning Scaling Law for Tracking Hidden Markov Models. ICASSP Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	—	`conf`	Multivariate Belief Formation for Distributed Multitask Learning. EUSIPCO Malek Khammassi, Vincenzo Matta, Ali H. Sayed
2025	—	`conf`	On the Performance of Social Learning. EUSIPCO Felice Scala, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2025	—	`conf`	Social Learning with Dependent Agents. DSP Felice Scala, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	—	`conf`	Adaptive Social Learning for Tracking Rare Transition Markov Chains. EUSIPCO Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2024	J	`jnl`	Compressed Regression Over Adaptive Networks. IEEE Trans. Signal Inf. Process. over Networks Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	—	`conf`	Decentralized Fusion of Experts Over Networks. MLSP Marco Carpentiero, Vincenzo Matta, Stefan Vlaski, Ali H. Sayed
2024	—	`conf`	Differential Error Feedback for Communication-Efficient Decentralized Optimization. SAM Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	J	`jnl`	Differential error feedback for communication-efficient decentralized learning. CoRR Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	—	`conf`	Matching centralized learning performance via compressed decentralized learning with error feedback. SPAWC Roula Nassif, Marco Carpentiero, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2024	Misc	`conf`	Social Learning with Adaptive Models. ICASSP Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2024	J	`jnl`	Socially Intelligent Networks: A framework for decision making over graphs. IEEE Signal Process. Mag. Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	Compressed Distributed Regression over Adaptive Networks. ICASSP Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Compressed Regression over Adaptive Networks. CoRR Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Estimating the Topology of Preferential Attachment Graphs Under Partial Observability. IEEE Trans. Inf. Theory Michele Cirillo, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	Learning Dynamic Graphs under Partial Observability. ICASSP Michele Cirillo, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Learning From Heterogeneous Data Based on Social Interactions Over Graphs. IEEE Trans. Inf. Theory Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Memory-Aware Social Learning Under Partial Information Sharing. IEEE Trans. Signal Process. Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Partial Information Sharing Over Social Learning Networks. IEEE Trans. Inf. Theory Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Quantization for Decentralized Learning Under Subspace Constraints. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
2023	—	`conf`	Social Learning with Non-Bayesian Local Updates. EUSIPCO Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	The Role of Memory in Social Learning When Sharing Partial Opinions. ICASSP Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2022	Misc	`conf`	Adaptive Diffusion with Compressed Communication. ICASSP Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2022	Misc	`conf`	Cyber-Threat Propagation over Network-Slicing Architectures. ICASSP Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Giuseppe Basileo
2022	J	`jnl`	Distributed Bayesian Learning of Dynamic States. CoRR Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2022	—	`conf`	Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2022	J	`jnl`	Quantization for decentralized learning under subspace constraints. CoRR Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
2021	J	`jnl`	Adaptive Social Learning. IEEE Trans. Inf. Theory Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2021	J	`jnl`	Adversarial Kendall's Model Towards Containment of Distributed Cyber-Threats. IEEE Trans. Inf. Forensics Secur. Paolo Addesso, Mauro Barni, Mario Di Mauro, Vincenzo Matta
2021	Misc	`conf`	Application-Layer DDOS Attacks with Multiple Emulation Dictionaries. ICASSP Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Marco Tambasco
2021	J	`jnl`	Botnet Identification in DDoS Attacks With Multiple Emulation Dictionaries. IEEE Trans. Inf. Forensics Secur. Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Marco Tambasco
2021	J	`jnl`	Distributed Adaptive Learning Under Communication Constraints. CoRR Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2021	Misc	`conf`	Learning Bollobás-Riordan Graphs Under Partial Observability. ICASSP Michele Cirillo, Vincenzo Matta, Ali H. Sayed
2021	J	`jnl`	Learning from Heterogeneous Data Based on Social Interactions over Graphs. CoRR Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2021	Misc	`conf`	Network Classifiers Based on Social Learning. ICASSP Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	ADVoIP: Adversarial Detection of Encrypted and Concealed VoIP. IEEE Trans. Inf. Forensics Secur. Paolo Addesso, Michele Cirillo, Mario Di Mauro, Vincenzo Matta
2020	—	`conf`	Adaptation in Online Social Learning. EUSIPCO Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Adaptation in Online Social Learning. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Adaptive Social Learning. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Graph Learning Under Partial Observability. Proc. IEEE Vincenzo Matta, Augusto Santos, Ali H. Sayed
2020	Misc	`conf`	Learning Graph Influence from Social Interactions. ICASSP Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
2020	J	`jnl`	Learning Graph Influence from Social Interactions. CoRR Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
2020	J	`jnl`	Local Tomography of Large Networks Under the Low-Observability Regime. IEEE Trans. Inf. Theory Augusto Santos, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Network Classifiers Based on Social Learning. CoRR Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2020	Misc	`conf`	Social Learning with Partial Information Sharing. ICASSP Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Social Learning with Partial Information Sharing. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2019	Misc	`conf`	Adversarial Detection of Concealed VoIP Traffic. ICNC Paolo Addesso, Michele Cirillo, Mario Di Mauro, Maurizio Longo, Vincenzo Matta
2019	J	`jnl`	Consistent Tomography Under Partial Observations Over Adaptive Networks. IEEE Trans. Inf. Theory Vincenzo Matta, Ali H. Sayed
2019	Misc	`conf`	Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks. ICASSP Vincenzo Matta, Augusto Santos, Ali H. Sayed
2019	B	`conf`	Graph Learning with Partial Observations: Role of Degree Concentration. ISIT Vincenzo Matta, Augusto Santos, Ali H. Sayed
2019	J	`jnl`	Interplay between Topology and Social Learning over Weak Graphs. CoRR Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
2019	J	`jnl`	Inverse Graph Learning over Optimization Networks. CoRR Vincenzo Matta, Augusto Santos, Ali H. Sayed
2019	J	`jnl`	Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity? CoRR Vincenzo Matta, Augusto Santos, Ali H. Sayed
2019	J	`jnl`	Managing Information Constraints Over Networks Through the Lens of Configuration Functions. IEEE Trans. Signal Inf. Process. over Networks Paolo Addesso, Vincenzo Matta
2019	J	`jnl`	Social Learning with Partial Information Sharing. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2019	J	`jnl`	Topology Inference over Networks with Nonlinear Coupling. CoRR Augusto Santos, Vincenzo Matta, Ali H. Sayed
2018	B	`conf`	Consistent Tomography over Diffusion Networks under the Low-Observability Regime. ISIT Augusto Santos, Vincenzo Matta, Ali H. Sayed
2018	J	`jnl`	Cyber-Threat Mitigation Exploiting the Birth-Death-Immigration Model. IEEE Trans. Inf. Forensics Secur. Vincenzo Matta, Mario Di Mauro, Maurizio Longo, Alfonso Farina
2018	—	`conf`	Divide-and-Conquer Tomography for Large-Scale Networks. DSW Augusto Santos, Vincenzo Matta, Ali H. Sayed
2018	J	`jnl`	Local Tomography of Large Networks under the Low-Observability Regime. CoRR Augusto Santos, Vincenzo Matta, Ali H. Sayed
2018	—	`conf`	Multiple Cyber-Threats Containment Via Kendall's Birth-Death-Immigration Model. EUSIPCO Vincenzo Matta, Mario Di Mauro, Maurizio Longo, Alfonso Farina
2018	J	`jnl`	Signal Amplitude Estimation and Detection From Unlabeled Binary Quantized Samples. IEEE Trans. Signal Process. Guanyu Wang, Jiang Zhu, Rick S. Blum, Peter Willett, Stefano Maranò, Vincenzo Matta, Paolo Braca
2018	Misc	`conf`	Tomography of Adaptive Multi-Agent Networks Under Limited Observation. ICASSP Vincenzo Matta, Ali H. Sayed
2018	Misc	`conf`	Tomography of Large Adaptive Networks under the Dense Latent Regime : Invited Paper. ACSSC Vincenzo Matta, Augusto Santos, Ali H. Sayed
2017	—	`conf`	Botnet identification in multi-clustered DDoS attacks. EUSIPCO Vincenzo Matta, Mario Di Mauro, Maurizio Longo
2017	J	`jnl`	Chernoff Test for Strong-or-Weak Radar Models. IEEE Trans. Signal Process. Massimo Franceschetti, Stefano Maranò, Vincenzo Matta
2017	J	`jnl`	Consistent Tomography under Partial Observations over Adaptive Networks. CoRR Vincenzo Matta, Ali H. Sayed
2017	J	`jnl`	DDoS Attacks With Randomized Traffic Innovation: Botnet Identification Challenges and Strategies. IEEE Trans. Inf. Forensics Secur. Vincenzo Matta, Mario Di Mauro, Maurizio Longo
2017	Misc	`conf`	Hypothesis testing in the presence of maxwell's daemon: signal detection by unlabeled observations. ICASSP Stefano Maranò, Vincenzo Matta, Peter Willett, Paolo Braca, Rick S. Blum
2016	—	`conf`	Botnet identification in randomized DDoS attacks. EUSIPCO Vincenzo Matta, Mario Di Mauro, Maurizio Longo
2016	J	`jnl`	DDoS Attacks with Randomized Traffic Innovation: Botnet Identification Challenges and Strategies. CoRR Vincenzo Matta, Mario Di Mauro, Maurizio Longo
2016	—	`conf`	Detection over diffusion networks: Asymptotic tools for performance prediction and simulation. EUSIPCO Vincenzo Matta, Paolo Braca, Stefano Maranò, Ali H. Sayed
2016	J	`jnl`	Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime. IEEE Trans. Inf. Theory Vincenzo Matta, Paolo Braca, Stefano Maranò, Ali H. Sayed
2016	J	`jnl`	Distributed Detection Over Adaptive Networks: Refined Asymptotics and the Role of Connectivity. IEEE Trans. Signal Inf. Process. over Networks Vincenzo Matta, Paolo Braca, Stefano Maranò, Ali H. Sayed
2016	J	`jnl`	Distributed Detection over Adaptive Networks: Refined Asymptotics and the Role of Connectivity. CoRR Vincenzo Matta, Paolo Braca, Stefano Maranò, Ali H. Sayed
2016	J	`jnl`	Guest Editorial Inference and Learning over Networks. IEEE Trans. Signal Inf. Process. over Networks Vincenzo Matta, Cédric Richard, Venkatesh Saligrama, Ali H. Sayed
2016	J	`jnl`	Learning With Privacy in Consensus + Obfuscation. IEEE Signal Process. Lett. Paolo Braca, Riccardo Lazzeretti, Stefano Maranò, Vincenzo Matta
2016	J	`jnl`	Multisensor adaptive bayesian tracking under time-varying target detection probability. IEEE Trans. Aerosp. Electron. Syst. Giuseppe Papa, Paolo Braca, Steven Horn, Stefano Maranò, Vincenzo Matta, Peter Willett
2016	Misc	`conf`	One plus two may not equal two plus one in a social sensing network with unknown parameters. ICASSP Stefano Maranò, Vincenzo Matta, Peter Willett
2016	J	`jnl`	The Importance of Being Earnest: Social Sensing With Unknown Agent Quality. IEEE Trans. Signal Inf. Process. over Networks Stefano Maranò, Vincenzo Matta, Peter Willett
2015	Misc	`conf`	Adaptive Bayesian tracking with unknown time-varying sensor network performance. ICASSP Giuseppe Papa, Paolo Braca, Steven Horn, Stefano Maranò, Vincenzo Matta, Peter Willett
2015	Misc	`conf`	Exact asymptotics of distributed detection over adaptive networks. ICASSP Vincenzo Matta, Paolo Braca, Stefano Maranò, Ali H. Sayed
2015	J	`jnl`	Sensor Network Tomography: The Revenge of the Detected. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2014	J	`jnl`	Achieving Perfect Secrecy by pdf-Bandlimited Jamming. IEEE Signal Process. Lett. Stefano Maranò, Vincenzo Matta
2014	J	`jnl`	Asymptotic Performance of Adaptive Distributed Detection over Networks. CoRR Paolo Braca, Stefano Maranò, Vincenzo Matta, Ali H. Sayed
2014	J	`jnl`	Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity. IEEE Trans. Signal Process. Paolo Braca, Peter Willett, Kevin D. LePage, Stefano Maranò, Vincenzo Matta
2014	C	`conf`	Cognitive multistatic AUV networks. FUSION Paolo Braca, Ryan A. Goldhahn, Kevin D. LePage, Stefano Maranò, Vincenzo Matta, Peter Willett
2014	Misc	`conf`	Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity. ICASSP Ryan A. Goldhahn, Paolo Braca, Kevin D. LePage, Peter Willett, Stefano Maranò, Vincenzo Matta
2014	Misc	`conf`	How many bits from how many sensors? A trade-off in distributed nearest-neighbor learning. ICASSP Stefano Maranò, Vincenzo Matta, Peter Willett
2014	Misc	`conf`	Large deviations analysis of adaptive distributed detection. ICASSP Paolo Braca, Stefano Maranò, Vincenzo Matta, Ali H. Sayed
2014	—	`conf`	Nearest-neighbor estimation in sensor networks. EUSIPCO Stefano Maranò, Vincenzo Matta, Peter Willett
2013	Misc	`conf`	A linear complexity particle approach to the exact multi-sensor PHD. ICASSP Paolo Braca, Stefano Maranò, Vincenzo Matta, Peter Willett
2013	J	`jnl`	Asymptotic Efficiency of the PHD in Multitarget/Multisensor Estimation. IEEE J. Sel. Top. Signal Process. Paolo Braca, Stefano Maranò, Vincenzo Matta, Peter Willett
2013	C	`conf`	Decentralized nearest-neighbor learning over noisy channels: The uncoded way. FUSION Stefano Maranò, Vincenzo Matta, Peter Willett
2013	J	`jnl`	Nearest-Neighbor Distributed Learning by Ordered Transmissions. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2013	Misc	`conf`	Nearest-Neighbor distributed learning under communication constraints. ICASSP Stefano Maranò, Vincenzo Matta, Peter Willett
2013	C	`conf`	Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity. FUSION Paolo Braca, Kevin D. LePage, Peter Willett, Stefano Maranò, Vincenzo Matta
2013	J	`jnl`	The Embedding Capacity of Information Flows Under Renewal Traffic. IEEE Trans. Inf. Theory Stefano Maranò, Vincenzo Matta, Ting He, Lang Tong
2012	C	`conf`	Multitarget-multisensor ML and PHD: Some asymptotics. FUSION Paolo Braca, Stefano Maranò, Vincenzo Matta, Peter Willett
2012	J	`jnl`	Predetection Fusion in Large Sensor Networks with Unknown Target Locations. J. Adv. Inf. Fusion Ramona Georgescu, Peter Willett, Stefano Maranò, Vincenzo Matta
2012	J	`jnl`	Single-Transmission Distributed Detection via Order Statistics. IEEE Trans. Signal Process. Paolo Braca, Stefano Maranò, Vincenzo Matta
2011	J	`jnl`	Asymptotic Properties of One-Bit Distributed Detection with Ordered Transmissions CoRR Paolo Braca, Stefano Maranò, Vincenzo Matta
2011	—	`conf`	Asymptotically consistent one-bit detection in large sensor networks. EUSIPCO Paolo Braca, Stefano Maranò, Vincenzo Matta
2011	J	`jnl`	Consensus-based Page's test in sensor networks. Signal Process. Paolo Braca, Stefano Maranò, Vincenzo Matta, Peter Willett
2011	B	`conf`	Embedding information flows into renewal traffic. ITW Stefano Maranò, Vincenzo Matta, Ting He, Lang Tong
2011	—	`conf`	Quickest distributed detection via running consensus. EUSIPCO Paolo Braca, Stefano Maranò, Vincenzo Matta, Peter Willett
2011	J	`jnl`	The Embedding Capacity of Information Flows Under Renewal Traffic CoRR Stefano Maranò, Vincenzo Matta, Ting He, Lang Tong
2010	J	`jnl`	Asymptotic optimality of running consensus in testing binary hypotheses. IEEE Trans. Signal Process. Paolo Braca, Stefano Maranò, Vincenzo Matta, Peter Willett
2010	Misc	`conf`	Asymptotically optimal power-constrained distributed estimation. ICASSP Marco Guerriero, Peter Willett, Stefano Maranò, Vincenzo Matta
2010	J	`jnl`	Estimation of target location via likelihood approximation in sensor networks. IEEE Trans. Signal Process. Paolo Addesso, Stefano Maranò, Vincenzo Matta
2010	J	`jnl`	Optimal relay function in the low-power regime for distributed estimation over a MAC. IEEE Trans. Signal Process. Marco Guerriero, Stefano Maranò, Vincenzo Matta, Peter Willett
2010	J	`jnl`	Refining decisions after losing data: the unlucky broker problem. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Fabio Mazzarella
2010	J	`jnl`	Selective measurement transmission in distributed estimation with data association. IEEE Trans. Signal Process. Paolo Braca, Marco Guerriero, Stefano Maranò, Vincenzo Matta, Peter Willett
2010	—	`conf`	The Bayesian unlucky broker. EUSIPCO Stefano Maranò, Vincenzo Matta, Fabio Mazzarella
2009	J	`jnl`	Distributed Detection in the Presence of Byzantine Attacks. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Lang Tong
2009	J	`jnl`	Distributed detection with censoring sensors under physical layer secrecy. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter K. Willett
2009	C	`conf`	Distributed estimation with data association: Is the nearest neighbor the most informative? FUSION Paolo Braca, Marco Guerriero, Stefano Maranò, Vincenzo Matta, Peter Willett
2009	J	`jnl`	Stochastic Resonance in Sequential Detectors. IEEE Trans. Signal Process. Marco Guerriero, Stefano Maranò, Vincenzo Matta, Peter Willett
2008	J	`jnl`	Distributed Estimation in Large Wireless Sensor Networks via a Locally Optimum Approach. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2008	J	`jnl`	Enforcing Consensus While Monitoring the Environment in Wireless Sensor Networks. IEEE Trans. Signal Process. Paolo Braca, Stefano Maranò, Vincenzo Matta
2008	—	`conf`	On the divergence-cost function in distributed detection with a secrecy constraint. ACSCC Stefano Maranò, Vincenzo Matta, Peter Willett
2008	C	`conf`	Running consensus in wireless sensor networks. FUSION Paolo Braca, Stefano Maranò, Vincenzo Matta
2008	J	`jnl`	Some aspects of DOA estimation using a network of blind sensors. Signal Process. Marco Guerriero, Stefano Maranò, Vincenzo Matta, Peter Willett
2008	Misc	`conf`	Speedier sequential tests via stochastic resonance. ICASSP Marco Guerriero, Peter Willett, Stefano Maranò, Vincenzo Matta
2007	J	`jnl`	A Likelihood-Based Multiple Access for Estimation in Sensor Networks. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Lang Tong, Peter Willett
2007	J	`jnl`	Asymptotic Design of Quantizers for Decentralized MMSE Estimation. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2007	—	`conf`	Bandwidth Scaling for Efficient Inference Over a Power-Limited MAC. ICASSP (3) Stefano Maranò, Vincenzo Matta, Lang Tong, Peter Willett
2007	—	`conf`	Fusing Evidences from Intracranial Pressure Data using Dempster-Shafer Theory. DSP Roberto Conte, Maurizio Longo, Stefano Maranò, Vincenzo Matta, F. Velardi
2007	—	`conf`	Practical DOA Estimation via a Network of DOA-Blind Sensors. ICASSP (2) Marco Guerriero, Peter Willett, Stefano Maranò, Vincenzo Matta
2007	J	`jnl`	Sequential Sampling in Sensor Networks for Detection With Censoring Nodes. IEEE Trans. Signal Process. Paolo Addesso, Stefano Maranò, Vincenzo Matta
2006	J	`jnl`	Cross-Layer Design of Sequential Detectors in Sensor Networks. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett, Lang Tong
2006	—	`conf`	Locally optimum estimation in wireless sensor networks. EUSIPCO Stefano Maranò, Vincenzo Matta, Peter Willett
2006	—	`conf`	Quantizer Design for Decentralized MMSE Estimation. CDC Stefano Maranò, Vincenzo Matta, Peter Willett
2006	J	`jnl`	Quantizer Precision for Distributed Estimation in a Large Sensor Network. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2006	J	`jnl`	Sub-optimal all-sky detection of periodic gravitational waves. Signal Process. Stefano Maranò, Vincenzo Matta
2006	J	`jnl`	Support-based and ML approaches to DOA estimation in a dumb sensor network. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett, Lang Tong
2005	—	`conf`	An idea for quantization with data association. ICASSP (4) Stefano Maranò, Vincenzo Matta, Peter Willett
2005	J	`jnl`	DOA estimation via a network of dumb sensors under the SENMA paradigm. IEEE Signal Process. Lett. Stefano Maranò, Vincenzo Matta, Peter Willett, Lang Tong
2005	—	`conf`	Dumb isotropic sensors can find DOAs. ICASSP (4) Vincenzo Matta, Stefano Maranò, Peter K. Willett, Lang Tong
2005	—	`—`	Multiterminal inference and sensor networks. Vincenzo Matta
2005	J	`jnl`	Some approaches to quantization for distributed estimation with data association. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2003	J	`jnl`	Sequential detection of almost-harmonic signals. IEEE Trans. Signal Process. Stefano Maranò, Vincenzo Matta, Peter Willett
2003	J	`jnl`	Sequential testing of sorted and transformed data as an efficient way to implement long GLRTs. IEEE Trans. Signal Process. Stefano Maranò, Peter Willett, Vincenzo Matta