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ORCIDRaquel Montes Diez
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2020 – today
- 2023
[i1]Angel Udías, Antonio Alonso-Ayuso, Ignacio Sanchez, Sonia Hernandez, María Eugenia Castellanos, Raquel Montes Diez, Emilio Lopez Cano:
The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students. CoRR abs/2310.05686 (2023)- 2022
- [j6]Oriol Borrás-Gené
, Lucía Serrano-Luján, Raquel Montes Diez:
Professional and Academic Digital Identity Workshop for Higher Education Students. Inf. 13(10): 490 (2022) - [j5]Oriol Borrás-Gené, Raquel Montes Diez, Almudena Macías-Guillén:
Digital Educational Escape Room Analysis Using Learning Styles. Inf. 13(11): 522 (2022)
2010 – 2019
- 2015
- [j4]Alicia Quirós Carretero, Simon P. Wilson, Raquel Montes Diez, Ana Beatriz Solana, Juan Antonio Hernández Tamames:
Brain activity detection by estimating the signal-to-noise ratio of fMRI time series using dynamic linear models. Digit. Signal Process. 47: 205-211 (2015) - 2010
- [j3]Alicia Quirós Carretero, Raquel Montes Diez, Dani Gamerman:
Bayesian spatiotemporal model of fMRI data. NeuroImage 49(1): 442-456 (2010) - [j2]Alicia Quirós Carretero, Raquel Montes Diez, Simon P. Wilson:
Bayesian spatiotemporal model of fMRI data using transfer functions. NeuroImage 52(3): 995-1004 (2010)
2000 – 2009
- 2009
- [c9]Alicia Quirós Carretero, Raquel Montes Diez:
Brain Activity Detection - Statistical Analysis of fMRI Data. BIOSIGNALS 2009: 434-439 - 2008
- [c8]Gabriela Pérez, Juan Francisco Garamendi, Raquel Montes Diez, Emanuele Schiavi:
MRI Shoulder Complex Segmentation and Classification. BIOSIGNALS (1) 2008: 13-18 - [c7]Gabriela Pérez, Juan Francisco Garamendi, Raquel Montes Diez, Emanuele Schiavi:
A Multiphase Approach to MRI Shoulder Images Classification. BIOSTEC (Selected Papers) 2008: 321-329 - 2006
- [c6]Alicia Quirós Carretero, Raquel Montes Diez, Juan Antonio Hernández Tamames:
A Fully Bayesian Two-Stage Model for Detecting Brain Activity in fMRI. ISBMDA 2006: 334-345 - 2005
- [j1]A. Menchero, Raquel Montes Diez, David Ríos Insua, Peter Müller:
Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks. Neural Comput. 17(2): 453-485 (2005) - [c5]Raquel Montes Diez, Cristina Conde, Ángel Serrano, Licesio J. Rodríguez-Aragón, Enrique Cabello:
Optimization of a Face Verification System using Bayesian Screening Techniques. Artificial Intelligence and Applications 2005: 427-432 - [c4]Ángel Serrano, Cristina Conde, Licesio J. Rodríguez-Aragón, Raquel Montes Diez, Enrique Cabello:
Computer Vision Application: Real Time Smart Traffic Light. EUROCAST 2005: 525-530 - 2004
- [c3]Raquel Montes Diez, Cristina Conde, Enrique Cabello:
Automatic Detection of the Optimal Acceptance Threshold in a Face Verification System. ECCV Workshop BioAW 2004: 70-79 - [c2]Gabriela Pérez, Raquel Montes Diez, Juan Antonio Hernández Tamames, José SanMartín:
A New Approach to Automatic Segmentation of Bone in Medical Magnetic Resonance Imaging. ISBMDA 2004: 21-26 - [c1]Raquel Montes Diez, Juan M. Marin, David Ríos Insua:
Bayesian Prediction of Down Syndrome Based on Maternal Age and Four Serum Markers. ISBMDA 2004: 85-95
Coauthor Index
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