Skip navigation
↑
Quick Access
Library Catalog
Iscte Discovery Service (Integrated Search)
Browse
here
more Information Resources
Home
Browse
Communities & Collections
Browse Items by:
Issue Date
Author
Advisor
Title
Subject
Document Type
Access Type
MSc and PhD
Journals
JEL Classification
PsycINFO Classification
Fields of Science and Technology (FOS)
Sustainable Development Goals (SDG)
More
About the Repository
Forms
Copyright
Open access policy
Contact us
Statistics
Language
English
português
Sign on to
My Account
Receive email
updates
Edit Profile
Non Visible Label
Repositório do Iscte – Instituto Universitário de Lisboa
Browsing by Subject LSTM
Jump to:
0-9
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
or enter first few letters:
starts with
Sort by:
title
issue date
submit date
In order:
Ascending
Descending
Results/Page
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Authors/Record:
All
1
5
10
15
20
25
30
35
40
45
50
Showing results 1 to 7 of 7
Issue Date
Title
Author(s)
Type
Access Type
14-Nov-2023
Classificação de tendências e previsão de preço do Índice S&P 500: Trading recorrendo a deep learning e XGBoost
Neves, Marta Sofia Morgado das
Master Thesis
Open Access
29-Oct-2021
Como construir um modelo híbrido de previsão para o S&P500 usando um modelo VECM com um algoritmo LSTM?
Lopes, Tiago Miguel Dias da Gama Lobo de Sousa
Master Thesis
Open Access
2020
Comparative multivariate forecast performance for the G7 stock markets: VECM models vs deep learning LSTM neural networks
Ferreira, N. B.
Conference Object
Open Access
19-Dec-2022
Cryptocurrency price prediction using LSTM neural networks
Pereira, José Luís Almeida
Master Thesis
Open Access
19-Dec-2024
Data analysis for precision agriculture
Saraiva, Bruno Filipe Santos
Master Thesis
Open Access
2-Dec-2019
Forecasting bitcoin prices: ARIMA vs LSTM
Mendes, João Filipe Batista
Master Thesis
Open Access
19-Dec-2024
Movement and concentration of people in nightlife areas: A comprehensive study of urban nightscapes
Seno, José Pedro Correia
Master Thesis
Open Access