Abstract: The passive acoustic monitoring of marine mammals is an essential tool for researchers tracking the populations of individual species in threatened environments. Given the large quantity of ...
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the ...
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This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...
EEG-basedemotion decoding is essential for unveiling neural mechanisms underlying emotion and enabling artificial intelligence to understand human emotions. However, existing datasets for EEG-based ...
Abstract: Electroencephalogram (EEG) is the graphical representation of Brain’s electrical activity. Mental stress can be detected in many ways and EEG is one of them. Regular mental stress gives rise ...
My previous post formulates the classification problem and splits it into 3 types (binary, multi-class, and multi-label) and answers the question “What activation and loss functions do you need to use ...
Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...
Description: Using TensorFlow Decision Forests for structured data classification. that are compatible with Keras APIs. The models include [Random Forests](https ...
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