IEEE

A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction

Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
sciencex

LSTM Professor Richard Pleass wins Prix de l'Innovation 2013

Professor Pleass' project deals with the development of Hexagard™, a biomimetic to replace intravenous immunoglobulin (IVIG) therapy for treating autoimmune diseases. The winner of the prize was ...
GitHub

caiosaldanha/bitcoin-lstm-api

Este projeto implementa uma API REST completa para predição de preços de Bitcoin usando redes neurais LSTM (Long Short-Term Memory). A aplicação inclui treinamento de modelo, predições em tempo real, ...
GitHub

Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference

This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...
IEEE

V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning

Abstract: Long short-term memory (LSTM) has been widely adopted in tasks with sequence data, such as speech recognition and language modeling. LSTM brought significant accuracy improvement by ...
syncedreview

LSTM Is Back! A Deep Implementation of the Decades-old Architecture Challenges ViTs on Long Sequence Modelling

In less than two years since their introduction, vision transformers (ViT) have revolutionized the computer vision field, leveraging transformer architectures’ powerful self-attention mechanisms to ...