Skip navigation
Home
Browse
Communities
& Collections
Browse Items by:
Issue Date
Author
Title
Subject
Help
How to publish
Language
English
español
català
Sign on to:
My DSpace
Receive email
updates
Edit Profile
Dipòsit Digital de la Universitat de Barcelona
Search
Search:
All of DSpace
Treballs de l'alumnat
Màster Oficial - Fonaments de la Ciència de Dades
for
Current filters:
Title
Author
Subject
Date Issued
Equals
Contains
ID
Not Equals
Not Contains
Not ID
Start a new search
Add filters:
Use filters to refine the search results.
Title
Author
Subject
Date Issued
Equals
Contains
ID
Not Equals
Not Contains
Not ID
Results 1-10 of 15 (Search time: 0.036 seconds).
previous
1
2
next
Item hits:
Issue Date
Title
Author(s)
1-Jul-2021
Twitter engagement model for RecSys Challenge 2021
Moreno Blanco, Marcos; Torralba Agell, Adrià
2-Sep-2021
Predicting venous thromboembolic events in patients with cancer using a new machine learning paradigm
Álvarez Cabrera, Pedro
18-Jan-2021
Identification of negative keywords in search marketing with embedding layers and neural networks
Loris, David
2-Sep-2021
Accuracy comparison between Sparse Autoregressive and XGBoost models for high-dimensional product sales forecasting
Ras Jiménez, Blai
1-Jul-2021
A restaurant recommender system for a new-born app-based gastronomic guide
Granatiero, Pablo
7-Sep-2021
Detecting incipient cognitive dysfunction in Preclinical Alzheimer’s Disease subjects
Trimble, Rachel Mary
2-Sep-2021
Measuring domain shift effect for deep learning in mammography
Zhu, Ling
18-Jan-2021
Deep learning to count fish in sonar images
Tarling, Penny
18-Jan-2021
Demand forecasting in pharmaceutical supply chains: Novo Nordisk case study
Tonelli, Mattia
2-Sep-2021
Machine learning copies as a means for black box model evaluation
Rovira Esteva, Muriel
Discover
Author
1
Córdoba Meneses, Alfons
1
Granatiero, Pablo
1
Loris, David
1
Lucas Castellano, Aitor
1
Moreno Blanco, Marcos
.
next >
Subject
15
Master's theses
15
Treballs de fi de màster
10
Aprenentatge automàtic
10
Machine learning
5
Learning classifier systems
.
next >