Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

Rumors of a new Plants vs. Zombies game are escalating, as one investigative team claims to know the name, launch date, price, and available platforms for the supposed next chapter in the classic ...

Torch is a fast, secure web framework for Rust, built on Tokio and Hyper. Create modern applications easily with minimal setup. 🚀🌟 ...

Abstract: We use a $\beta$-variational autoencoder regularized by a denoising autoencoder to learn latent representations of sleep electroencephalography (EEG) timefrequency spectrograms in a ...

Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...

Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026, China ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...