(2022, December 12-16). Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, ...

I have implemented encoder-decoder based seq2seq models with attention. The first aim for this implementation is to work towards computational grounded theory and thematic analysis using NLP and deep ...

🔁 LSTM/GRU Encoder-Decoder (Without Attention) A traditional Seq2Seq model using LSTM/GRU networks with a fixed-length context vector from the encoder to initialize the decoder. 🎯 Encoder-Decoder ...

The miniaturization of Inertial Measurement Units (IMUs) has expanded their use in various devices like smartphones and drones. Traditional attitude estimation methods lack robustness across different ...

This study introduces an innovative deep learning framework, the Weber Cross Information Sharing Deep Learning Encoder-Decoder (WCISD-ED) model, designed for emotion recognition through facial ...

Deepfakes are simple to make. A simple overview of the artificial intelligence (AI) behind deepfakes: Generative Adversarial Networks (GANs), Encoder-decoder pairs and First-Order Motion Models.

Keywords: ligand binding sites, drug discovery and development, in silico drug design, deep learning, graph neural network, recurrent neural network, generative model, machine learning Citation: Shi W ...