User profiles for Javier de Velasco Oriol

Javier De Velasco Oriol

ANYbotics AG
Verified email at itesm.mx
Cited by 128

The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up

…, BDM Tom, SR White, N Faux, S Sedai, JV Oriol… - arXiv preprint arXiv …, 2020 - arxiv.org
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE)
Challenge, which compared the performance of 92 algorithms from 33 …

[PDF][PDF] Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data

JDV Oriol, EE Vallejo, K Estrada… - BMC …, 2019 - bmcbioinformatics.biomedcentral …
Background: Late-Onset Alzheimer’s Disease (LOAD) is a leading form of dementia. There
is no effective cure for LOAD, leaving the treatment efforts to depend on preventive cognitive …

[HTML][HTML] Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data

J De Velasco Oriol, EE Vallejo, K Estrada… - BMC …, 2019 - Springer
Background Late-Onset Alzheimer’s Disease (LOAD) is a leading form of dementia. There
is no effective cure for LOAD, leaving the treatment efforts to depend on preventive cognitive …

Benchmarking machine learning models for the analysis of genetic data using FRESA. CAD Binary Classification Benchmarking

J de Velasco Oriol, A Martinez-Torteya, V Trevino… - bioRxiv, 2019 - biorxiv.org
Background Machine learning models have proven to be useful tools for the analysis of
genetic data. However, with the availability of a wide variety of such methods, model selection …

Predicting late-onset Alzheimer's disease from genomic data using deep neural networks

J de Velasco Oriol, EE Vallejo, K Estrada… - bioRxiv, 2019 - biorxiv.org
Alzheimer’s disease (AD) is the leading form of dementia. Over 25 million cases have been
estimated worldwide and this number is predicted to increase two-fold every 20 years. Even …

[PDF][PDF] … , Oriol Montserrat, Carlos Manuel Colomo, José Miguel Gómez López, José Vicente Pérez Peña, Francisco Javier Lamas, Rosa María Mateos, Francisco Javier

JMA Roldán, JC Soteras, AZ Campos, JS Palma… - researchgate.net
El rápido desarrollo urbanístico en la costa mediterránea española, ocurrido a partir de los
años' 80, no siempre ha estado acompañado de una correcta planificación que tenga en …

[PDF][PDF] Memòria de l'Escola d'Enginyeria de Barcelona Est (EEBE) 2016-2017

EE de Barcelona Est - 2017 - upcommons.upc.edu
… Raúl Benítez Iglesias Gemma Fargas Ribas Juan Antonio García-Alzórriz Pardo Spartacus
Gomáriz Castro Eulàlia Planas Cuchi Joan de Pablo Ribas Guillermo Velasco Quesada …

[PDF][PDF] Supervised machine learning empowered multifactorial genetic inheritance disorder prediction

TM Ghazal, H Al Hamadi, MU Nasir… - Computational …, 2022 - downloads.hindawi.com
… In 2019, Javier De Velasco Oriol et al. [23] suggested a machine learning technique for
dementia prediction using neuroimaging and their machine learning model achieved 75% …

[PDF][PDF] Caracterización de la enfermedad de Alzhéimer utilizando datos genómicos y redes neuronales profundas

AG González - zaguan.unizar.es
… En comparación con la red del trabajo de Javier de Velasco Oriol et al. [11], se ha cambiado
… Se ha tenido como punto de partida el trabajo realizado por Javier de Velasco Oriol, Edgar …

Caracterización de la enfermedad de Alzhéimer utilizando datos genómicos y redes neuronales profundas.

A Gómez González, E Mayordomo Cámara… - zaguan.unizar.es
… En comparación con la red del trabajo de Javier de Velasco Oriol et al. [11], se ha cambiado
… Se ha tenido como punto de partida el trabajo realizado por Javier de Velasco Oriol, Edgar …