This paper addresses the challenge of blind non-linear equalization using a variational autoencoder (VAE) with a second-order Volterra channel model. The VAE framework’s costfunction, the evidence ...

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 ...

This paper proposes a complex recurrent variational autoencoder (VAE) framework, for modeling time series data, particularly speech signals. First, to account for the temporal structure of speech ...

KAWASAKI, Japan, DUESSELDORF, Germany, and SANTA CLARA, USA -- Nov, 20 2007 --NEC Electronics Corporation and its subsidiaries NEC Electronics America, Inc. and NEC Electronics (Europe) GmbH, today ...

This uses a ResNet-based CNN for audio classification of Mel-frequency cepstral coefficients and delta and delta-delta features. It also includes a denoising autoencoder (DAE) to remove background ...

The proposed ClimSat model is constructed as a diffusion autoencoder, and it incorporates contextual information through multi-conditional batch normalization and classifier-free guidance. The ...