most citedUnderstanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

152 citations · 152 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2025

Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion

Giuseppe Fasano, Yashar Deldjoo, Tommaso di Noia +6

This demo paper introduces AirSense-R, a privacy-preserving mobile application that delivers real-time, pollution-aware recommendations for urban points of interest (POIs). By merg…

cs.NE2019★ 152 cited

Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Ralf C. Staudemeyer, Eric Rothstein Morris

Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most powerful dynamic classifiers publicly known. The network itself and the related learning algorithms…