# SemantaAI Dataset Standard This repository follows a 2-layer standard with no versioned folder names. ## Layout - `raw/`: canonical OHLCV history (Binance spot, 5m, one file per asset). - `gold/`:
Code and Data for "Quantifying Uncertainty in Geospatial Explanations from Explainable AI" This repository contains the code and data used in our submitted work “Quantifying Unc
The purpose of this paper is to develop an advanced hybrid stock price prediction model by integrating the advantages and benefits of Long Short-Term Memory Model (LSTM) and Gated Recurrent Units (GRU
With 2020 hindsight, the 2000s housing cycle is not a boom-bust but a boom-bust- rebound. Using a spatial equilibrium regression in which house prices are determined by income, amenities, urbanization