This paper scrutinizes the act of patent classification as it is performed by specialists, namely patent examiners, and currently supported by automated systems in patent offices for assigning classification co
Despite the high accuracy of AI-based automated analysis of 12-lead ECG images for classification of cardiac conditions, clinical integration of such tools is hindered by limited interpretability of model recommendations. We aim to demonstrate the feasib
While AI hallucination continues to be a hot topic in scholarly discourse, there remains disagreement among researchers regarding the precise application of the term “hallucination”. While the term “hallucination” has gained acceptance among certain scholars for characterizing the irrational behaviors ex...
such as true/false or yes/no. It is widely researched and applied in fields like fraud detection, sentiment analysis, medical diagnosis, and spam filtering. While binary classification deals with two classes, more complex categorization can be handled by breaking the problem down into multiple bina...
Understanding the distinctions and history of these models is key to grasping how AI continues to shape industries and innovation today.Let’s see which category best applies to your particular problem.AI classification modelsA classification model is built to recognize, understand, and group data ...
With its more profound architecture (up to 152 layers), ResNet addresses the vanishing gradient problem often encountered in deep models, making it suitable for biomedical applications, such as ischemic stroke detection. The deeper network ensures a persistent flow of gradients, which reduces the ...
Wrapper: choosing a set of characteristics as a search problem in which several combinations are evaluated and compared to one another (Zebari et al. 2020). Filter: using a variety of statistical tests to identify the feature subset with the highest predictive analysis (Bommert et al. 2022). ...
due to the problem in non-transparency, the confidence of the modulation classification result decreases. We are unable to determine whether it is a right classification or a totally wrong classification. So the application of AI-based AMC is limited, especially the sensitive area such as military...
with data volumes swelling, these processes are no longer viable.Proofpoint Intelligent Classification and Protection(PCIP) can help organisations modernise and enhance theirdata security. The solution uses advanced artificial intelligence (AI)-based technologies to help solve the problem of modern...
problem for high-dimension histopathology images, the proposed method first tries to classify the training data using a black box classifier based on a deep neural network structure, and then map each data sample into its corresponding point in the learned latent space of the network. Due to ...