Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis. - Javier Escudero; Roberto Hornero; Daniel E. Abásolo; Jesús Poza; Alberto Fernández 004; Miguel López Coronado (EMBC, 2006)

Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information. - Carlos Gómez; Roberto Hornero; Alberto Fernández 004; Daniel E. Abásolo; Javier Escudero; Miguel López Coronado (EMBC, 2006)

Cortical reorganization during PASAT task in MS patients with preserved working memory functions. - Cristina Forn; Alfonso Barrós-Loscertales; Javier Escudero; Vicente Belloch; S. Campos; María Antonia Parcet; César Ávila (NeuroImage, 2006)

Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information. - Carlos Gómez; Roberto Hornero; Daniel E. Abásolo; Alberto Fernández 004; Javier Escudero (Comput. Methods Programs Biomed., 2007)

Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis. - Javier Escudero; Roberto Hornero; Daniel E. Abásolo; Alberto Fernández 004; Miguel López Coronado (IEEE Trans. Biomed. Eng., 2007)

Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation. - Javier Escudero; Roberto Hornero; Jesús Poza; Daniel E. Abásolo; Alberto Fernández 004 (Artif. Intell. Medicine, 2008)

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients. - Daniel E. Abásolo; Javier Escudero; Roberto Hornero; Carlos Gómez; Pedro Espino (Medical Biol. Eng. Comput., 2008)

A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease. - Daniel E. Abásolo; Roberto Hornero; Javier Escudero; Pedro Espino (IEEE Trans. Biomed. Eng., 2008)

Spectral and Nonlinear Analyses of MEG Background Activity in Patients With Alzheimer's Disease. - Roberto Hornero; Javier Escudero; Alberto Fernández 004; Jesús Poza; Carlos Gómez (IEEE Trans. Biomed. Eng., 2008)

Single channel-based myoelectric control of hand movements with Empirical Mode Decomposition. - Ali H. Al-Timemy; Guido Bugmann; Nicholas John Outram; Javier Escudero (EMBC, 2011)

Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means. - Javier Escudero; John P. Zajicek; Emmanuel C. Ifeachor (EMBC, 2011)

Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials. - Javier Escudero; John P. Zajicek; Emmanuel C. Ifeachor (EMBC, 2011)

Finger Movements Classification for the Dexterous Control of Upper Limb Prosthesis Using EMG Signals. - Ali Al-Timemy; Guido Bugmann; Nicholas John Outram; Javier Escudero; Hai Li 004 (TAROS, 2012)

A preliminary investigation of the effect of force variation for myoelectric control of hand prosthesis. - Ali Al-Timemy; Guido Bugmann; Javier Escudero; Nicholas John Outram (EMBC, 2013)

Protocol for site selection and movement assessment for the myoelectric control of a multi-functional upper-limb prosthesis. - Ali H. Al-Timemy; Javier Escudero; Guido Bugmann; Nicholas John Outram (EMBC, 2013)

Development of a Highly Dexterous Robotic Hand with Independent Finger Movements for Amputee Training. - Ali Al-Timemy; Alexandre Brochard; Guido Bugmann; Javier Escudero (TAROS, 2013)

Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease. - Javier Escudero; Emmanuel C. Ifeachor; John P. Zajicek; Colin Green; James Shearer; Stephen Pearson (IEEE Trans. Biomed. Eng., 2013)

Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography. - Ali Al-Timemy; Guido Bugmann; Javier Escudero; Nicholas John Outram (IEEE J. Biomed. Health Informatics, 2013)

Spectral analysis of resting state magnetoencephalogram activity in patients with bipolar disorder. - Ali H. Al-Timemy; Alberto Fernández 004; Javier Escudero (EMBC, 2014)

Post-processing for spectral coherence of magnetoencephalogram background activity: Application to Alzheimer's disease. - Javier Escudero; Athanasios Anastasiou; Alberto Fernández 004 (EMBC, 2014)

Combination of signal segmentation approaches using fuzzy decision making. - Hamed Azami; Javier Escudero (EMBC, 2015)

A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms. - Hamed Azami; Javier Escudero (EMBC, 2015)

Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropies. - Hamed Azami; Keith Smith; Alberto Fernández 004; Javier Escudero (EMBC, 2015)

Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalograms. - Javier Escudero; Antonio José Ibañez-Molina; Sergio Iglesias-Parro (EMBC, 2015)

Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks. - Keith Smith; Hamed Azami; Javier Escudero; Mario A. Parra; John M. Starr (EMBC, 2015)

Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis. - Keith Smith; Hamed Azami; Mario A. Parra; John M. Starr; Javier Escudero (EMBC, 2015)

LiveWell - Promoting Healthy Living and Wellbeing for Parkinson Patients through Social Network and ICT Training: Lessons Learnt and Best Practices. - Maged N. Kamel Boulos; Emmanuel C. Ifeachor; Javier Escudero; Peng Zhao 009; Camille Carroll; Pedro Costa; Gerhard Doppler; Laura Carrasco Marín; Luiza Spiru; Kristin Helga Guðmundsdótti; Marija Kosem (Int. J. Heal. Inf. Syst. Informatics, 2015)

Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task. - Noor Kamal Al-Qazzaz; Sawal Hamid Bin Mohd Ali; Siti Anom Ahmad; Mohd Shabiul Islam; Javier Escudero (Sensors, 2015)

Selecting the optimal movement subset with different pattern recognition based EMG control algorithms. - Ali Al-Timemy; Rami N. Khushaba; Javier Escudero (EMBC, 2016)

Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's disease. - Hamed Azami; Mostafa Rostaghi; Alberto Fernández 004; Javier Escudero (EMBC, 2016)

MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals. - Hamed Azami; Keith Smith; Javier Escudero (EMBC, 2016)

Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease. - Javier Escudero; Keith Smith; Hamed Azami; Daniel Abásolo (EMBC, 2016)

Effect of importance sampling on robust segmentation of audio-cough events in noisy environments. - Jesus Monge-Alvarez; Carlos Hoyos-Barcelo; Paul Lesso; Javier Escudero; Keshav P. Dahal; Pablo Casaseca-de-la-Higuera (EMBC, 2016)

A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's disease. - Keith Smith; Daniel Abásolo; Javier Escudero (EMBC, 2016)

Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings. - Hamed Azami; Javier Escudero (Biomed. Signal Process. Control., 2016)

Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation. - Hamed Azami; Javier Escudero (Comput. Methods Programs Biomed., 2016)

Refined Composite Multiscale Dispersion Entropy: A Fast Measure of Complexity. - Hamed Azami; Mostafa Rostaghi; Javier Escudero (CoRR, 2016)

Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study. - Elizabeth Shumbayawonda; Alberto Fernández 004; Javier Escudero; Michael Pycraft Hughes; Daniel Abásolo (BIOSIGNALS, 2017)

Classification enhancement for post-stroke dementia using fuzzy neighborhood preserving analysis with QR-decomposition. - Noor Kamal Al-Qazzaz; Sawal Hamid Bin Mohd Ali; Siti Anom Ahmad; Javier Escudero (EMBC, 2017)

Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer's disease. - Hamed Azami; Eli Kinney-Lang; Ahmed Ebied; Alberto Fernández 004; Javier Escudero (EMBC, 2017)

On the use of higher-order tensors to model muscle synergies. - Ahmed Ebied; Loukianos Spyrou; Eli Kinney-Lang; Javier Escudero (EMBC, 2017)

Elucidating age-specific patterns from background electroencephalogram pediatric datasets via PARAFAC. - Eli Kinney-Lang; Loukianos Spyrou; Ahmed Ebied; Richard F. M. Chin; Javier Escudero (EMBC, 2017)

Graph regularised tensor factorisation of EEG signals based on network connectivity measures. - Loukianos Spyrou; Javier Escudero (ICASSP, 2017)

A General Theory of Temporal Connectivity. - Keith Smith; Loukianos Spyrou; Javier Escudero (CoRR, 2017)

Complex tensor factorisation with PARAFAC2 for the estimation of brain connectivity from the EEG. - Loukianos Spyrou; Mario A. Parra; Javier Escudero (CoRR, 2017)

Amplitude- and Frequency-based Dispersion Patterns and Entropy. - Hamed Azami; Javier Escudero (CoRR, 2017)

Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease. - Hamed Azami; Daniel Abásolo; Samantha Simons; Javier Escudero (Entropy, 2017)

Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. - Hamed Azami; Alberto Fernández 004; Javier Escudero (Medical Biol. Eng. Comput., 2017)

Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA-WT during Working Memory Tasks. - Noor Kamal Al-Qazzaz; Sawal Hamid Bin Mohd Ali; Siti Anom Ahmad; Mohd Shabiul Islam; Javier Escudero (Sensors, 2017)

Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures. - Hamed Azami; Javier Escudero; Anne Humeau-Heurtier (IEEE Signal Process. Lett., 2017)

Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals. - Hamed Azami; Mostafa Rostaghi; Daniel E. Abásolo; Javier Escudero (IEEE Trans. Biomed. Eng., 2017)

Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions. - Christos Chatzichristos; Mike Davies 001; Javier Escudero; Eleftherios Kofidis; Sergios Theodoridis (EUSIPCO, 2018)

Building a Tensor Framework for the Analysis and Classification of Steady-State Visual Evoked Potentials in Children. - Eli Kinney-Lang; Ahmed Ebied; Javier Escudero (EUSIPCO, 2018)

Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler. - Ying Shen 003; Chao Tan; Feng Dong 001; Keith Smith; Javier Escudero (I2MTC, 2018)

Phenotyping Ex-Combatants From EEG Scalp Connectivity. - Andrés Quintero-Zea; José David López; Keith Smith; Natalia Trujillo; Mario A. Parra; Javier Escudero (IEEE Access, 2018)

Measuring Complexity of Biomedical Signals. - Gastón Schlotthauer; Anne Humeau-Heurtier; Javier Escudero; Hugo Leonardo Rufiner (Complex., 2018)

Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy. - Hamed Azami; Javier Escudero (Entropy, 2018)

Amplitude- and Fluctuation-Based Dispersion Entropy. - Hamed Azami; Javier Escudero (Entropy, 2018)

Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis. - Noor Kamal Al-Qazzaz; Sawal Hamid Bin Mohd Ali; Siti Anom Ahmad; Mohd Shabiul Islam; Javier Escudero (Medical Biol. Eng. Comput., 2018)

Adaptive Windowing Framework for Surface Electromyogram-Based Pattern Recognition System for Transradial Amputees. - Ali H. Al-Timemy; Guido Bugmann; Javier Escudero (Sensors, 2018)

Preliminary fusion of EEG and MRI with phenotypic scores in children with epilepsy based on the Canonical Polyadic Decomposition. - Noramon Dron; Eli Kinney-Lang; Richard F. M. Chin; Javier Escudero (EMBC, 2019)

Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments. - Evangelos Kafantaris; Ian Piper; Tsz-Yan Milly Lo; Javier Escudero (EMBC, 2019)

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2019)

Consistency of Muscle Synergies Extracted via Higher-Order Tensor Decomposition Towards Myoelectric Control. - Ahmed Ebied; Eli Kinney-Lang; Javier Escudero (NER, 2019)

Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases. - Hamed Azami; Steven E. Arnold; Saeid Sanei; Zhuoqing Chang; Guillermo Sapiro; Javier Escudero; Anoopum S. Gupta (IEEE Access, 2019)

Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison. - Hamed Azami; Peng Li 002; Steven E. Arnold; Javier Escudero; Anne Humeau-Heurtier (IEEE Access, 2019)

Muscle Activity Analysis Using Higher-Order Tensor Decomposition: Application to Muscle Synergy Extraction. - Ahmed Ebied; Eli Kinney-Lang; Loukianos Spyrou; Javier Escudero (IEEE Access, 2019)

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series. - Hamed Azami; Alberto Fernández 004; Javier Escudero (Entropy, 2019)

Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity. - Antonio José Ibañez-Molina; Sergio Iglesias-Parro; Javier Escudero (Int. J. Neural Syst., 2019)

Hierarchical complexity of the adult human structural connectome. - Keith Smith; Mark E. Bastin; Simon R. Cox; Maria del Carmen Valdés Hernández; Stewart Wiseman; Javier Escudero; Catherine Sudlow (NeuroImage, 2019)

Gas-Liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic Connectivity of ERT. - Chao Tan; Ying Shen 003; Keith Smith; Feng Dong 001; Javier Escudero (IEEE Trans. Instrum. Meas., 2019)

Weighted Network Estimation by the Use of Topological Graph Metrics. - Loukianos Spyrou; Javier Escudero (IEEE Trans. Netw. Sci. Eng., 2019)

Graph-Variate Signal Analysis. - Keith Smith; Loukianos Spyrou; Javier Escudero (IEEE Trans. Signal Process., 2019)

Canonical polyadic and block term decompositions to fuse EEG, phenotypic scores, and structural MRI of children with early-onset epilepsy. - Noramon Dron; Richard F. M. Chin; Javier Escudero (EUSIPCO, 2020)

A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging. - José Bernal; Maria del C. Valdés Hernández; Lucia Ballerini; Javier Escudero; Angela C. C. Jochems; Una Clancy; Fergus N. Doubal; Michael S. Stringer; Michael J. Thrippleton; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2020)

Normalised degree variance. - Keith Smith; Javier Escudero (Appl. Netw. Sci., 2020)

An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings. - Ali H. Al-Timemy; Rami N. Khushaba; Zahraa M. Mosa; Javier Escudero (CoRR, 2020)

Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring. - Evangelos Kafantaris; Ian Piper; Tsz-Yan Milly Lo; Javier Escudero (Entropy, 2020)

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Eleni Sakka; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw (J. Imaging, 2020)

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. - José Bernal; William Xu; Maria del C. Valdés Hernández; Javier Escudero; Angela C. C. Jochems; Una Clancy; Fergus N. Doubal; Michael S. Stringer; Michael J. Thrippleton; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2021)

Functional, structural, and phenotypic data fusion to predict developmental scores of pre-school children based on Canonical Polyadic Decomposition. - Noramon Dron; María Navarro-Cáceres; Richard F. M. Chin; Javier Escudero (Biomed. Signal Process. Control., 2021)

Higher order tensor decomposition for proportional myoelectric control based on muscle synergies. - Ahmed Ebied; Eli Kinney-Lang; Javier Escudero (Biomed. Signal Process. Control., 2021)

Assessment of Outliers and Detection of Artifactual Network Segments Using Univariate and Multivariate Dispersion Entropy on Physiological Signals. - Evangelos Kafantaris; Ian Piper; Tsz-Yan Milly Lo; Javier Escudero (Entropy, 2021)

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Anna K. Heye; Eleni Sakka; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw; Michael J. Thrippleton (NeuroImage, 2021)

Impact of Visual Design Elements and Principles in Human Electroencephalogram Brain Activity Assessed with Spectral Methods and Convolutional Neural Networks. - Francisco E. Cabrera; Pablo Sánchez-Núñez; Gustavo F. Vaccaro; José Ignacio Peláez; Javier Escudero (Sensors, 2021)

Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care. - Shima Abdullateef; Brian Jordan; Valerie Rae; Ailsa McLellan; Javier Escudero; Vera Nenadovic; Tsz-Yan Milly Lo (EMBC, 2022)

A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment. - Rachel Drage; Javier Escudero; Mario A. Parra; Brian Scally; Renato Anghinah; Amanda Vitória Lacerda De Araújo; Luis F. Basile; Daniel Abásolo (EMBC, 2022)

Evaluation of EEG dynamic connectivity around seizure onset with principal component analysis. - Iris L. Soare; Javier Escudero (EMBC, 2022)

Multivariate permutation entropy, a Cartesian graph product approach. - John Stewart Fabila-Carrasco; Chao Tan; Javier Escudero (EUSIPCO, 2022)

Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps. - Ali H. Al-Timemy; Nebras H. Ghaeb; Zahraa M. Mosa; Javier Escudero (Cogn. Comput., 2022)

Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU. - Hollan Haule; Evangelos Kafantaris; Tsz-Yan Milly Lo; Chen Qin; Javier Escudero (CoRR, 2022)

Permutation Entropy for Graph Signals. - John Stewart Fabila-Carrasco; Chao Tan; Javier Escudero (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Single-Channel EEG Artifact Identification with the Spectral Slope. - Melissa C. M. Fasol; Javier Escudero; Alfredo Gonzalez-Sulser (BIBM, 2023)

Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data. - John Stewart Fabila-Carrasco; Chao Tan; Javier Escudero (EUSIPCO, 2023)

VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series. - Hollan Haule; Ian Piper; Patricia Jones; Chen Qin; Tsz-Yan Milly Lo; Javier Escudero (CoRR, 2023)

Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis. - Evangelos Kafantaris; Tsz-Yan Milly Lo; Javier Escudero (IEEE Trans. Biomed. Eng., 2023)

Graph-Based Permutation Patterns for the Analysis of Task-Related FMRI Signals on DTI Networks in Mild Cognitive Impairment. - John Stewart Fabila-Carrasco; Avalon Campbell-Cousins; Mario A. Parra-Rodriguez; Javier Escudero (ICASSP, 2024)

Collaborative Learning of Common Latent Representations in Routinely Collected Multivariate ICU Physiological Signals. - Hollan Haule; Ian Piper; Patricia Jones; Tsz-Yan Milly Lo; Javier Escudero (ICASSP Workshops, 2024)

Graph-Based Multivariate Multiscale Dispersion Entropy: Efficient Implementation and Applications to Real-World Network Data. - John Stewart Fabila-Carrasco; Chao Tan; Javier Escudero (CoRR, 2024)

Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction. - Petros Koutsouvelis; Bartlomiej Chybowski; Alfredo Gonzalez-Sulser; Shima Abdullateef; Javier Escudero (CoRR, 2024)

Brain health in diverse settings: How age, demographics and cognition shape brain function. - Hernan Hernandez; Sandra Baez; Vicente Medel; Sebastian Moguilner; Jhosmary Cuadros; Hernando Santamaría-García; Enzo Tagliazucchi; Pedro A. Valdés-Sosa; Francisco Lopera; John Fredy Ochoa-Gómez; Alfredis González-Hernández; Jasmin Bonilla-Santos; et al. (NeuroImage, 2024)

VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series. - Hollan Haule; Ian Piper; Patricia Jones; Chen Qin; Tsz-Yan Milly Lo; Javier Escudero (Comput. Biol. Medicine, 2025)

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task. - Avalon Campbell-Cousins; Federica Guazzo; Mark E. Bastin; Mario A. Parra; Javier Escudero (CoRR, 2025)

PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets. - Bartlomiej Chybowski; Shima Abdullateef; Hollan Haule; Alfredo Gonzalez-Sulser; Javier Escudero (CoRR, 2025)