IEEE

Revisiting Long- and Short-Term Preference Learning for Next POI Recommendation With Hierarchical LSTM

Abstract: Point-of-interest (POI) recommendation has drawn much attention with the widespread popularity of location-based social networks (LBSNs). Previous works define long- and short-term ...
IEEE

Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM

Abstract: Particulate matter forecasting is fundamental for early warning and controlling air pollution, especially PM2.5. The increase in this level of concentration will lead to a negative impact on ...
GitHub

CLAM: CNN-LSTM-AM Stock Price Prediction Model

This project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...
GitHub

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

A regression model and trading strategy for FreqAI module from freqtrade, a crypto trading bot. ⚠️ Since problems have started to arise with the latest versions of Freqtrade (> 2024.02), I will be ...