2 citations · 5 across the 4 of their papers we have counts for
4 papers
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy
Fatemeh Rezaei, Pouriya Khaliliyan, Mohsen Rezaei +2
Recurrent Neural Networks are classes of Artificial Neural Networks that establish connections between different nodes form a directed or undirected graph for temporal dynamical an…
Modeling the Central Supermassive Black Holes Mass of Quasars via LSTM Approach
Seyed Sajad Tabasi, Reyhaneh Vojoudi Salmani, Pouriya Khaliliyan +1
One of the fundamental questions about quasars is related to their central supermassive black holes. The reason for the existence of these black holes with such a huge mass is stil…
Machine learning model to project the impact of Ukraine crisis
Javad T. Firouzjaee, Pouriya Khaliliyan
Russia's attack on Ukraine on Thursday 24 February 2022 hitched financial markets and the increased geopolitical crisis. In this paper, we select some main economic indexes, such a…
The Interpretability of LSTM Models for Predicting Oil Company Stocks: Impact of Correlated Features
Javad T. Firouzjaee, Pouriya Khaliliyan
Oil companies are among the largest companies in the world whose economic indicators in the global stock market have a great impact on the world economy\cite{ec00} and market due t…