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12/22/2021
Efficient Data Exchange in Unmanned Aerial Vehicle Networks Utilizing Unsupervised Learning-Based Clustering
An unmanned aerial vehicle (UAV) network can serve as an aerial relay to...
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12/20/2021
Classifier Calibration: How to assess and improve predicted class probabilities: a survey
This paper provides both an introduction to and a detailed overview of t...
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01/03/2020
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Chinese keyword spotting is a challenging task as there is no visual bla...
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10/28/2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Class probabilities predicted by most multiclass classifiers are uncalib...
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08/07/2019
HyperStream: a Workflow Engine for Streaming Data
This paper describes HyperStream, a large-scale, flexible and robust sof...
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05/15/2019
Distribution Calibration for Regression
We are concerned with obtaining well-calibrated output distributions fro...
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10/28/2018
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Dynamic spectrum access (DSA) is regarded as an effective and efficient ...
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06/20/2018
Non-Parametric Calibration of Probabilistic Regression
The task of calibration is to retrospectively adjust the outputs from a ...
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12/19/2017