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Number of items: 7.

Pambudi, A. D. and Gölz, M. and Ahmad, F. and Zoubir, A. M. (2020):
A Spatial Inference Approach for Landmine Detection Using Forward-Looking GPR.
RadarConf'20- IEEE Radar Conference, Florence, Italy, 21.-25.09.2020, [Conference or Workshop Item]

Gölz, M. and Muma, M. and Halme, T. and Zoubir, A. M. and Koivunen, V. (2019):
Spatial Inference in Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering.
27th European Signal Processing Conference (EUSIPCO), A Coruña, Spain, September 2 to 6, 2019, [Conference or Workshop Item]

Halme, T. and Gölz, M. and Koivunen, V. (2019):
Bayesian Multiple Hypothesis Testing for Distributed Detection in Sensor Networks.
pp. 105-109, Minneapolis, MN, USA, IEEE Data Science Workshop, [Conference or Workshop Item]

Gölz, M. (2019):
Spatial Inference in Large-Scale Sensor Networks Using Multiple Hypothesis Testing and Bayesian Clustering.
Espoo, Finland, Aalto University; TU Darmstadt, [Master Thesis]

Hasija, T. and Gölz, M. and Muma, M. and Schreier, P. J. and Zoubir, A. M. (2019):
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks.
54th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 3.-6. November 2019, [Conference or Workshop Item]

Gölz, M. and Koivunen, V. and Zoubir, A. M. (2017):
Nonparametric Detection Using Empirical Distributions and Bootstrapping.
pp. 1450-1454, 25th European Signal Processing Conference (EUSIPCO), [Conference or Workshop Item]

Gölz, M. and Fauß, M. and Zoubir, A. M. (2017):
A Bootstrapped Sequential Probability Ratio Test for Signal Processing Applications.
In: Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), [Conference or Workshop Item]

This list was generated on Tue Jan 19 00:38:38 2021 CET.