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How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model.

, , , , , and . KDD, page 3499-3500. ACM, (2020)

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Dethroning GPS: Low-Power Accurate 5G Positioning Systems Using Machine Learning., , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (2): 240-252 (2020)Data-Aided Fast Beamforming Selection for 5G., , and . ICASSP, page 1183-1187. IEEE, (2018)Enhancing Beamformed Fingerprint Outdoor Positioning with Hierarchical Convolutional Neural Networks., , and . ICASSP, page 1473-1477. IEEE, (2019)Uncertainty Estimation via Monte Carlo Dropout in CNN-Based mmWave MIMO Localization., , , , and . IEEE Signal Process. Lett., (2022)Deep Learning Architectures for Accurate Millimeter Wave Positioning in 5G., , and . Neural Process. Lett., 51 (1): 487-514 (2020)On Forecasting Project Activity Durations with Neural Networks., , , , and . EANN, volume 1600 of Communications in Computer and Information Science, page 103-114. Springer, (2022)Clustered Multiuser Detection Using SC-FDE Transmission with Iterative Receivers., , , and . VTC Spring, page 1-5. IEEE, (2015)Power Efficient MIMO SC-FDE Transmission Using Magnitude Modulation Techniques., , , , and . VTC Fall, page 1-5. IEEE, (2014)Towards an enhanced frequency reuse: Base station cooperation with turbo frequency domain receivers., , , and . ICC, page 2786-2790. IEEE, (2015)How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model., , , , , and . KDD, page 3499-3500. ACM, (2020)