544 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of the Basque CountryES29 papers
- IkerbasqueES10 papers
- Basque Center for Applied MathematicsES8 papers
- Instituto Andaluz de Ciencias de la TierraES6 papers
- Universidad de GranadaES6 papers
- Universidad Carlos III de MadridES4 papers
- GMV Innovating Solutions (Spain)ES3 papers
- Instituto de Ciencia de Materiales de MadridES3 papers
- Shanghai UniversityCN3 papers
- TecnaliaES3 papers
- EUNEIZES2 papers
- Euskadiko Parke TeknologikoaES2 papers
8 papers · 1 filter
Deep Learning for Brain Age Estimation: A Systematic Review
M. Tanveer, M. A. Ganaie, Iman Beheshti +7
Over the years, Machine Learning models have been successfully employed on neuroimaging data for accurately predicting brain age. Deviations from the healthy brain aging pattern ar…
Time-Optimal Quantum Driving by Variational Circuit Learning
Tangyou Huang, Yongcheng Ding, Léonce Dupays +4
The simulation of quantum dynamics on a digital quantum computer with parameterized circuits has widespread applications in fundamental and applied physics and chemistry. In this c…
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
Ruilin Liu, Sebastián V. Romero, Izaskun Oregi +3
Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning,and quantum optics. In this article, two ways…
Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem
Mikel Garcia-de-Andoin, Izaskun Oregi, Esther Villar-Rodriguez +2
The Bin Packing Problem (BPP) stands out as a paradigmatic combinatorial optimization problem in logistics. Quantum and hybrid quantum-classical algorithms are expected to show an…
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments
Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
In the last few years, the research activity around reinforcement learning tasks formulated over environments with sparse rewards has been especially notable. Among the numerous ap…
A Neural Network Assisted Yb Quantum Magnetometer
Yan Chen, Yue Ban, Ran He +5
A versatile magnetometer must deliver a readable response when exposed to target fields in a wide range of parameters. In this work, we experimentally demonstrate that the combinat…
A Review of Deep Learning-based Approaches for Deepfake Content Detection
Leandro A. Passos, Danilo Jodas, Kelton A. P. da Costa +5
Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a threat to people's inte…
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
Javier Poyatos, Daniel Molina, Aritz. D. Martinez +2
In recent years, Deep Learning models have shown a great performance in complex optimization problems. They generally require large training datasets, which is a limitation in most…