Personal Website of George V. Moustakides
Information
Activities
Publications
Submitted
Teaching
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Submitted
Q. Xu, Y. Mei, G.V. Moustakides, Second-order asymptotically optimal change-point detection algorithm with sampling control, submitted to the IEEE Symposium on Information Theory, ISIT 2020. (Jan. 2020)
G. Rovatsos, V.V. Veeravalli, G.V. Moustakides, Quickest detection of a dynamic anomaly in a heterogeneous sensor networks, submitted to the IEEE Symposium on Information Theory, ISIT 2020. (Jan. 2020)
G.V. Moustakides, K. Basioti, Training neural networks for likelihood/density ratio estimation, submitted to the IEEE Transactions on Information Theory. (Nov. 2019)  arXiv 
K. Basioti, G.V. Moustakides, Optimization criteria for neural network based testing, submitted to ICASSP 2020. (Oct. 2019)
G. Fellouris, G.V. Moustakides, Communication efficient decentralized sequential change detection, submitted to the Bernoulli Journal. (Aug. 2019)
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Working Papers
K. Basioti, G.V. Moustakides, Training networks for multiclass classification, to be submitted to a Machine Learning conference.
G.V. Moustakides, T. Banerjee, Sequential detection of statistically periodic processes, to be submitted to the IEEE Transactions on Information Theory.
G. Rovatsos, G.V. Moustakides, V.V. Veeravalli, Dynamic anomaly detection in sensor networks, to be submitted to suitable conference and journal.
J.G. Ligo, G.V. Moustakides, V.V. Veeravalli, Detecting sparse mixtures: Rate of decay of error probability, to be submitted to the Bernoulli journal.
J.G. Ligo, G.V. Moustakides, V.V. Veeravalli, Detecting sparse mixtures via quantization: Low complexity, high-performance tests, to be submitted to the IEEE Transactions on Information Theory.
G.V. Moustakides, V.V. Veeravalli, Optimum sequential detection of transitory changes, to be submitted to the IEEE Transactions on Information Theory.
G.V. Moustakides, Sequential detection of changes with Markovian data, to be submitted to the Annals of Statistics.
G.V. Moustakides, Sequential rate-change detection in homogeneous Poisson processes, to be submitted to the Annals of Statistics.
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