Artificial Neural Network

A unifying partially-interpretable framework for neural network-based extreme quantile regression

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B9 L2 R2322

In this paper, we propose a new methodological framework for performing extreme quantile regression using artificial neural networks, which are able to capture complex non-linear relationships and scale well to high-dimensional data.

A Comparison of Artificial Neural Network (ANN) and Support Vector Machine (SVM) Classifiers for Neural Seizure Detection

1 min read ·
Elgammal, M, et al., "A Comparison of Artificial Neural Network (ANN) and Support Vector Machine (SVM) Classifiers for Neural Seizure Detection". IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) 2019, 646. In this paper, two different classifiers are software and hardware implemented for neural seizure detection. The two techniques are support vector machine(SVM) and artificial neural networks(ANN). The two techniques are pretrained on software and only the classifiers are hardware implemented and tested. A comparison of the two techniques is performed on the levels

Tracking the Curve: Analyzing the Emotional Response to COVID-19

1 min read ·
Hashtags like #covid19 and #coronavirus help us stay up to date on the developments of the new coronavirus pandemic. But beyond breaking news, tweets also offer a glimpse into the emotional side of the COVID-19 crisis.