We have refactored the entire library to make it easier to understand and use. To avoid installing extra dependencies for additional features, we have commented out the non-numpy dependencies. If you ...
This is our implementation for the paper: Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu and Tat-Seng Chua (2017). Neural Collaborative Filtering. In Proceedings of WWW '17, Perth, ...
Abstract: With the rapid growth of network cyber threats, there exists a growing need for advanced, scalable and highly accurate mechanisms for threat detection. AI based threat detection system is ...
Abstract: The recent tiny federated learning (TinyFL) paradigm has generated significant interest in enabling resource-constrained edge devices to perform local machine learning training. TinyFL ...
Sepsis is a global health threat that has a high incidence and mortality rate. Early prediction of sepsis onset can drive effective interventions and improve patients’ outcome. Data were collected ...
Background: Linear dimensionality reduction techniques are widely used in many applications. The goal of dimensionality reduction is to eliminate the noise of data and extract the main features of ...
The proposed TCN framework manifested supremacy over predicted model responses of LSTM (long short-term memory) and MLP (multilayer-perceptron) architectures in terms of accuracy while requiring less ...
Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.
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