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Zhang, Tianming (author), Yan, Gaowei (author), Li, Rong (author), Xiao, Shuyi (author), Pang, Y. (author)
The industrially collected process data usually exhibit non-Gaussian and multi-mode characteristics. Due to sensor failures, irregular disturbances, and transmission problems, there are unavoidable outliers that make the data exhibit heavy-tailed characteristics. To this end, a variational auto-encoder regression method based on the mixture...
journal article 2024
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Korkić, Armin (author)
Cancer has been known as a deadly and complex disease to tackle. By applying machine learning algorithms we hope to improve personalized treatment for cancer patients. These machine learning algorithms are trying to learn a (latent) representation of the input. The problem is that this representation is hard to interpret and to observe the...
bachelor thesis 2021
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Yu, W. (author), Mahfouz, A.M.E.T.A. (author), Reinders, M.J.T. (author)
The power of single-cell RNA sequencing (scRNA-seq) in detecting cell heterogeneity or developmental process is becoming more and more evident every day. The granularity of this knowledge is further propelled when combining two batches of scRNA-seq into a single large dataset. This strategy is however hampered by technical differences between...
journal article 2021
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Nugroho, H. (author)
Optical beamforming networks (OBFNs), which consist of many small and flat antennas, called phased array antennas (PAAs), can be tuned such that the signal beam from the airplanes can be steered towards a satellite. This was proposed as a alternative to the mechanically steered antenna, which has many disadvantages. The problem of tuning a large...
master thesis 2015
Searched for: subject%3A%22auto%255C-encoder%22
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