In this paper we evaluate several statistical pattern recognition techniques including Support Vector Machines (SVM), Naïve Bayes classifiers and task-dependent n-gram language models. These methods can yield a very low task classification error rate. If used in ...
In addition, patients can watch and learn inhaler techniques on YouTube with or without the doctors in their offices. 3.4. Using Telemedicine Support Nowadays, telemedicine is a useful tool to manage patients with COPD during the COVID-19 pandemic via the use of advanced technologies of ...
The paper classified the approaches into memory-based and model-based techniques, the paper equally identifies commonly used neural networks, tools, and the applications. Ref. [38] reviews DL methods in recommender systems for various applications, the paper focuses on autoencoder models, CNNs, ...
As such, researchers have had to evolve their methods to detect disinformation. In this chapter, we present novel multimethod socio-computational approaches to analyze disinformation content and actors on OSNs during the initial months after COVID-19 was made public. These techniques are presented ...
methods consistently treat the number of clusters as a statistical parameter to be learned which, in principle, allows researchers to discover a more flexible and variable category structure should it exist, while also discovering similarities across people, should those exist. We present findings from...
(COPD), among others.Proper diagnosis of these conditions necessitates advanced medical imaging techniques such as magnetic resonance imaging (MRI), computerized axial tomography (CAT) scans, and positron emission tomography (PET) scans, which provide the necessary data to confirm the presence and ...
More complex and costly methods such as query expansion techniques, topic model-based classification rules, and active as well as passive supervised learning could have the potential to more accurately separate relevant from irrelevant documents and thereby reduce the potential size of bias. Yet, ...
At Bosch Research, in the field of autonomous systems, we work on methods to account for safety demands and contribute towards making the use of ML safe. Our team focuses particularly on ML testing. As such, we keep up to date on the emerging research area of ML testing. Moreover, we ...
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