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Alejandro Guerrero-López
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Posts
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portfolio
CT-SCOPE: Annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs
The dataset includes CT axial scans from 40 subjects, 13 of which were manually annotated with a semantic segmentation of the osseous structures of the area surrounding the paranasal sinuses.
CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states
Our dataset includes 3,800 audio files, averaging 35.51 ± 5.91 recordings per patient, covering surgeries like Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty.
MatLab: EODConnector
A library to retrieve any stock market data from EOD Historical Data market datafeed API.
Python: Factor Analysis Variational AutoEncoder
Python code to Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space paper.
Bash: GPU monitoring
Bash simple script to monitorize the use of GPU by the colleagues of the department
Python: Bayesian Sparse Factor Analysis with Kernelized Observations
Python code to Bayesian Sparse Factor Analysis with Kernelized Observations paper.
Python: Manual Transcription Editor
I have developed a powerful and user-friendly tool designed to manually correct automatic transcriptions of audio files. This tool is particularly useful for refining transcriptions made by Whisper, ensuring high accuracy and quality.
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Our dataset includes 2,977 audio files, averaging 26.88 ± 3.35 recordings per participant, 54 individuals diagnosed with Parkinson’s Disease and 58 healthy controls.
Python: Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability
Python code to Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability paper.
Python: PVPC reader
An unfinished project of reading public spanish electrical prices and do some ML
Introduction to SNN: from theory to Pytorch
Slides of the BioInspired Learning course at MUIT UPM
Python: Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra
Python code to Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra paper.
Python: Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Python code to Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks paper.
publications
Interacción basada en robots sociales para la evaluación de expresiones faciales
Published in Interaccion 2019 at San Sebastián, Spain., 2019
Recommended citation: Ramis, S., Perales, F., Guerrero-López, A., & Buades Rubio, J. M. (2019). Interacción basada en robots sociales para la evaluación de expresiones faciales. https://www.researchgate.net/publication/334204484_Interaccion_basada_en_robots_sociales_para_la_evaluacion_de_expresiones_faciales
Evaluation of a VR system for Pain Management using binaural acoustic stimulation
Published in Multimedia Tools and Applications, 78, 2019
Recommended citation: Perales, F. J., Riera, L., Ramis, S., Guerrero-López, A. (2019). Evaluation of a VR system for Pain Management using binaural acoustic stimulation. Multimed Tools Appl, 78, 32869–32890. https://link.springer.com/article/10.1007/s11042-019-07953-y
Bayesian Sparse Factor Analysis with Kernelized Observations
Published in Neurocomputing, 2022
Recommended citation: Sevilla-Salcedo, C., Guerrero-López, A., Olmos, P. M., & Gómez-Verdejo, V. (2022). Bayesian Sparse Factor Analysis with Kernelized Observations. Neurocomputing. https://doi.org/10.1016/j.neucom.2022.03.024
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space
Published in arXiv, 2022
Recommended citation: Guerrero-López, A., Sevilla-Salcedo, C., Gómez-Verdejo, V., & Olmos, P. M. (2022). Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. arXiv. https://arxiv.org/abs/2207.09185
Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra
Published in Engineering Applications of Artificial Intelligence, 2023
Machine learning for rapid antibiotic-resistance prediction in Klebsiella pneumoniae directly from routine MALDI-TOF mass spectra.
Recommended citation: Guerrero-López, A., Sevilla-Salcedo, C., Candela, A., Hernández-García, M., Cercenado, E., Olmos, P. M., Cantón, R., Muñoz, P., Gómez-Verdejo, V., del Campo, R., & Rodríguez-Sánchez, B. (2023). Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. Engineering Applications of Artificial Intelligence, 118, 105644. https://www.sciencedirect.com/science/article/pii/S0952197622006340
Automatic Discrimination of Species within the Enterobacter cloacae Complex Using Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry and Supervised Algorithms
Published in Journal of Clinical Microbiology, 2023
Supervised learning for species-level discrimination within the Enterobacter cloacae complex using routine MALDI-TOF measurements.
Recommended citation: Candela, A.*, Guerrero-López, A.*, Mateos, M., Gómez-Asenjo, A., Arroyo, M. J., Hernández-García, M., del Campo, R., Cercenado, E., Cuénod, A., Méndez, G., Mancera, L., Caballero, J. D., Martínez-García, L., Gijón, D., Morosini, M. I., Ruiz-Garbajosa, P., Egli, A., Cantón, R., Muñoz, P., Rodríguez-Temporal, D., & Rodríguez-Sánchez, B. (2023). Automatic Discrimination of Species within the Enterobacter cloacae Complex Using Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry and Supervised Algorithms. Journal of Clinical Microbiology, e01049-22. https://journals.asm.org/doi/abs/10.1128/jcm.01049-22
Clinical Microbiology with Multi-view deep probabilistic models
Published in Universidad Carlos III de Madrid, 2023
Recommended citation: Guerrero-López, A. J. (2023). Clinical microbiology with multi-view deep probabilistic models. http://aguerrerolopez.github.io/files/Tesis_GuerreroLopez_AlejandroJorge_FormatoWeb.pdf
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Published in Engineering Applications of Artificial Intelligence, 2023
Recommended citation: López, A., Guerrero-López, A., Olmos, P. M., & Gómez, M. J. (2023). Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. Engineering Applications of Artificial Intelligence, 126, 106840. https://doi.org/10.1016/j.engappai.2023.106840
MALDI-TOF spectra of Clostridioides difficile Ribotypes
Published in Zenodo, 2023
Recommended citation: Blázquez-Sánchez, M., Guerrero-López, A., Candela, A., Sánchez-Cueto, M., Marín, M., Jiménez-Navarro, L., et al. (2023). MALDI-TOF spectra of Clostridioides difficile Ribotypes. Zenodo. https://doi.org/10.5281/zenodo.10370872
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Published in Zenodo, 2024
An open Castilian Spanish speech corpus designed to support Parkinson-related speech analysis and digital biomarker research.
Recommended citation: Mendes-Laureano, J., Gómez-García, J. A., Guerrero-López, A., Luque-Buzo, E., Arias-Londoño, J. D., Grandas-Pérez, F. J., & Godino-Llorente, J. I. (2024). NeuroVoz: a Castillian Spanish corpus of parkinsonian speech (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10777657
MARTA: a model for the automatic phonemic grouping of the parkinsonian speech
Published in techRxiv, 2024
A model for automatic phonemic grouping in parkinsonian speech, aimed at robust speech-based digital biomarkers.
Recommended citation: Guerrero-López, A., Arias-Londoño, J. D., Shattuck-Hufnagel, S., et al. (2024). MARTA: a model for the automatic phonemic grouping of the parkinsonian speech. TechRxiv. http://dx.doi.org/10.36227/techrxiv.171084943.31044695/v1
Exploring the Power of Photoplethysmogram Matrix for Atrial Fibrillation Detection with Integrated Explainability
Published in Engineering Applications of Artificial Intelligence, 2024
Explainable deep learning for atrial fibrillation detection from PPG-derived matrix representations.
Recommended citation: Fuster-Barceló, C., Guerrero-López, A., Camara, C., & Peris-Lopez, P. (2024). Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability. Engineering Applications of Artificial Intelligence, 133, 108325. https://doi.org/10.1016/j.engappai.2024.108325
A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states
Published in Zenodo, 2024
Recommended citation: Hernández-García, E., Guerrero-López, A., Arias-Londoño, J. D., et al. (2024). CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10256802
A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states
Published in Scientific Data, 2024
Recommended citation: Hernández-García, E., Guerrero-López, A., Arias-Londoño, J. D., et al. (2024). A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states. Scientific Data, 11, 746. https://doi.org/10.1038/s41597-024-03540-5
Overcoming variability challenges for Clostridioides difficile via data augmentation techniques
Published in bioRxiv, 2024
Recommended citation: Guerrero-López, A., Antón, L. B., Blázquez-Sánchez, M., Schmidt-Santiago, L., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2024). Overcoming variability challenges for Clostridioides difficile via data augmentation techniques. bioRxiv. https://doi.org/10.1101/2024.10.29.620907
Automatic surveillance of Escherichia coli bacteriological strains within clinical settings
Published in bioRxiv, 2024
A machine learning approach for automated strain surveillance of Escherichia coli in clinical settings.
Recommended citation: Rodríguez Palomo, R., Guerrero-López, A., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2024). Automatic surveillance of Escherichia coli bacteriological strains within clinical settings. bioRxiv. https://doi.org/10.1101/2024.11.05.622049
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Published in Scientific Data, 2024
Recommended citation: Mendes-Laureano, J., Gómez-García, J. A., Guerrero-López, A., et al. (2024). NeuroVoz: a Castillian Spanish corpus of parkinsonian speech. Scientific Data, 11, 1367. https://doi.org/10.1038/s41597-024-04186-z
Automatic semantic segmentation of the osseous structures of the paranasal sinuses
Published in Computerized Medical Imaging and Graphics, 2025
Medical image segmentation of paranasal sinus osseous structures for clinically relevant CT analysis.
Recommended citation: Sun, Y., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2025). Automatic semantic segmentation of the osseous structures of the paranasal sinuses. Computerized Medical Imaging and Graphics, 123, 102541. https://doi.org/10.1016/j.compmedimag.2025.102541
MARISMa: a routine MALDI-TOF MS database from 2018 to 2024
Published in bioRxiv, 2025
A large open MALDI-TOF MS resource created to support clinical microbiology machine learning, benchmarking, and translational data-driven applications.
Recommended citation: Santiago, L. S., López-Mareca, I., Blázquez-Sánchez, M., Moreno, J. M., Sevilla-Salcedo, C., Gómez-Verdejo, V., Rodríguez-Sánchez, B., Rodríguez-Temporal, D., & Guerrero-López, A. (2025). MARISMa: a routine MALDI-TOF MS database from 2018 to 2024. bioRxiv. https://doi.org/10.1101/2025.05.31.657186
MARISMa: a routine MALDI-TOF MS database from 2018 to 2024
Published in bioRxiv, 2025
Recommended citation: Santiago, L. S., López-Mareca, I., Blázquez-Sánchez, M., Moreno, J. M., Sevilla-Salcedo, C., Gómez-Verdejo, V., Rodríguez-Sánchez, B., Rodríguez-Temporal, D., & Guerrero-López, A. (2025). MARISMa: a routine MALDI-TOF MS database from 2018 to 2024. Zenodo. https://zenodo.org/records/14218003
Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS
Published in BMC Bioinformatics, 2025
A web-based translational tool for automated Clostridioides difficile ribotype typing from MALDI-TOF MS data.
Recommended citation: Blázquez-Sánchez, M.*, Guerrero-López, A.*, Candela, A., Belenguer-Llorens, A., Moreno, J. M., Sevilla-Salcedo, C., ... & Rodríguez-Sánchez, B. (2025). Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. BMC Bioinformatics, 26(1), 181. https://doi.org/10.1186/s12859-025-06200-6
Bayesian automatic screening of pneumonia and lung lesions localization from CT scans. A combined method toward a more user-centred and explainable approach
Published in IEEE Access, 2025
Recommended citation: Moure Prado, Á., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2025). Bayesian automatic screening of pneumonia and lung lesions localization from CT scans. A combined method toward a more user-centred and explainable approach. IEEE Access, 13, 3607282. https://doi.org/10.1109/ACCESS.2025.3607282
CT-SCOPE: annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs
Published in Data in Brief, 2025
Recommended citation: Sun, Y., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2025). CT-SCOPE: annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs. Data in Brief, 111962. https://doi.org/10.1016/j.dib.2025.111962
ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics
Published in Microbes and Infection, 2025
Recommended citation: Greutmann, M., Borgwardt, K., Brüningk, S., Franzeck, F., Giske, C. G., Green, A. G., ... & Egli, A. (2025). ESCMID workshop: Artificial Intelligence and Machine Learning in Medical Microbiology Diagnostics. Microbes and Infection, 105562. https://doi.org/10.1016/j.micinf.2025.105562
Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0
Published in IEEE Open Journal of Intelligent Transportation Systems, 2025
Recommended citation: Larese, D. C., Cerrada, A. B., Tomei, G. D., Guerrero-López, A., Olmos, P. M., & Gómez García, M. J. (2025). Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0. IEEE Open Journal of Intelligent Transportation Systems, 6, 1612–1624. https://doi.org/10.1109/OJITS.2025.3638611
How ready are we to use artificial intelligence in our fight against Antimicrobial resistance? An ESGAID and EAAS perspective
Published in Expert Review of Anti-infective Therapy, 2026
Recommended citation: Giacobbe, D. R., Ahmad, R., Akilli, F. M., Ascandari, A., Eyre, D. W., Gallardo-Pizarro, A., ... & Guerrero-López, A. (2026). How ready are we to use artificial intelligence in our fight against Antimicrobial resistance? An ESGAID and EAAS perspective. Expert Review of Anti-infective Therapy, (just-accepted). https://doi.org/10.1080/14787210.2026.2625382
A systematic review of machine learning on clinical MALDI-TOF MS
Published in Briefings in Bioinformatics, 2026
Recommended citation: Schmidt-Santiago, L., Guerrero-López, A., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2026). A systematic review of machine learning on clinical MALDI-TOF MS. Briefings in Bioinformatics, 27(3), bbag208. https://doi.org/10.1093/bib/bbag208
talks
MSACL 2021 EU 7th European Congress
Published:
Presented an abstract in a podium: “Guerrero-López, A., Sevilla-Salcedo, C., Hernández-García, M., Del Campo, R., Rodríguez-Sánchez, B., Olmos, P. M., & Gómez-Verdejo, V. (2021). Antibiotic Resistance Prediction in Klebsiella pneumoniae Based on Phenotypic Susceptibility Testing and MALDI-TOF MS Protein Profiles MSACL 2021.”
Application of Machine Learning for the prediction of antimicrobial resistance mechanisms: a semi-supervised heterogeneous approach
Published:
Presented a seminar about semi-supervised models applied to antimicrobial resistance prediction based on MALDI-TOF data in Alberto Tejedor Seminar.
Application of Machine Learning for the prediction of antimicrobial resistance mechanisms: a semi-supervised heterogeneous approach
Published:
Presented a seminar about semi-supervised models applied to antimicrobial resistance prediction based on MALDI-TOF data in Servicio Microbiología Hospital General Universitario Gregorio Marañón.
Identification of subspecies within Enterobacter Cloacae Complex by MALDI-TOF MS and Machine Learning
Published:
Presented a poster about identification of Enterobacter Cloacae Complex using supervised learning at 9ª Jornada de Investigación e Innovación IISGM.
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space
Published:
Presented a poster about our last paper Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space at the Cambridge Ellis Machine Learning Summer School
Clinical microbiology with multi-view deep probabilistic models
Published:
Defended my PhD Thesis “Clinical microbiology with multi-view deep probabilistic models” qualified as a cum laude.
What does an AI scientist actually do in a microbiology institute?
Published:
Invited talk for the Master program Applied Computational Life Science at ZHAW.
teaching
Modern Theory of Detection and Estimation
Undergraduate course, Universidad Carlos III de Madrid, Signal Theory and Communications Department, 2021
Teaching assistant in the undergraduate course Modern Theory of Detection and Estimation with Teaching Excellent Acknowledgement received from Universidad Carlos III de Madrid. This course was taught to three different bachelors degrees:
Machine Learning Fundamentals
Corporate training, Fundación Carlos III de Madrid, 2022
I teach Corporate Training to BBVA bank employees three times a year since 2022. Specifically, a course in Machine Learning Fundamentals.
Machine Learning Applications
Undergraduate course, Carlos III International School, Bachelor in Data Science and Engineering, 2022
Tutor of American exchange students in the Machine Learning applications undergraduate course of Bachelor in Data Science and Engineering.
Neural Networks
Undergraduate course, Carlos III International School, Bachelor in Data Science and Engineering, 2022
Tutor of American exchange students in the Neural Networks undergraduate course of Bachelor in Data Science and Engineering. during the courses:
- 2021-2022
- 2022-2023
Deep Learning
Master course, Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, 2022
Teaching assistant in the Master course Deep Learning in the Master in Applied Artificial Intelligence.
AI in Health
Master course, Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, 2023
Teaching assistant in the Master course AI in Health in the Master in Applied Artificial Intelligence.
Characterizing train driveshaft damages using accelerometers
Bachelor Thesis, Bachelor in Data Science and Engineering, Universidad Carlos III de Madrid, 2023
Developing a Transformer based model, namely ShaftFormer, to characterise train driveshaft damages.
A machine learning approach to League of Legends pre-game winning team prediction
Master Thesis, Master in Big Data Analytics, Universidad Carlos III de Madrid, 2023
Developing AI solutions, namely Recommender Systems such as NCF, to League of Legends pre-game winning team prediction.
Predicting antibiotic-resistant bacteria using mass spectrometry and deep learning
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2023
Developing Deep Learning models to predict antibiotic-resistant bacteria in multi-domain datasets.
Clustering of bacteriological strains using unsupervised learning and mass spectrometry
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2023
Developing a unsupervised generative models, namely VAEs, to clusterise temporal bacteriological strains.
Bio-inspired Learning
Master course, Universidad Politécnica de Madrid, Master in Theoretical Signal Processing, 2024
Teaching assistant in the master course Bio Inspired Learning.
Antibiotic recommender system based on MALDI-TOF and Neural Networks
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Developing a dual-branch recommender system for antibiotic recommendations over bacterial strains.
Adversarial Training in Microbiology: testing robustness
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Developing a AT techniques to make microbiology AI more robust.
Conditional Difussion models for audio generation: from EEG to Speech
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Condition diffusion models on EEG to generate speech.
Linear networks analysis and synthesis
Undergraduate course, Universidad Carlos III de Madrid, Bachelor in Mobile and Space Communications Engineering, 2025
Visiting Professor in the Linear networks analysis and synthesis undergraduate course of Bachelor in Mobile and Space Communications Engineering. during the 2024-2025.
Machine Learning applications
Undergraduate course, Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering, 2025
Visiting Professor in the Machine Learning applications undergraduate course of Bachelor in Data Science and Engineering. during the 2024-2025.
Neural Networks
Undergraduate course, Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering, 2025
Visiting Professor in the Neural Networks undergraduate course of Bachelor in Data Science and Engineering. during the 2024-2025.
Boosting the resolution of MALDI-TOF mass spectra using transformer-based machine learning
PhD co-supervision, Institute of Medical Microbiology, University of Zurich, 2025
Co-supervising Eline Meijer’s PhD project on boosting the resolution of MALDI-TOF mass spectra using transformer-based machine learning.
Predicting antimicrobial resistance, virulence, and invasiveness from MALDI-TOF MS data
PhD co-supervision, Institute of Medical Microbiology, University of Zurich, 2025
Co-supervising Yukino Gütlin’s PhD project on predicting antimicrobial resistance, virulence, and invasiveness from MALDI-TOF MS data to support antimicrobial treatment decisions.
Fungi automatic classifier using machine learning methods
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2025
Developing an automatic classifier of fungi species based on their MALDI-TOF MS data for hospital purposes.
Automatic unsupervised domain adaptation of MALDI-TOF MS
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2025
Developing an automatic unsupervised domain adaptation of MALDI-TOF MS inter-hospitalary.
Advancing antimicrobial resistance prediction from whole-genome sequencing
PhD co-supervision, Institute of Medical Microbiology, University of Zurich, 2025
Co-supervising Janis Rogenmonser’s PhD project on advancing antimicrobial resistance prediction from whole-genome sequencing.
Connecting MALDI-TOF MS and whole-genome sequencing data in routine diagnostics
Bachelor Thesis, Bachelorstudium Medizininformatik, ZHAW School of Engineering, 2026
Bachelor thesis supervision in the Bachelorstudium Medizininformatik at the ZHAW School of Engineering.
Automated measurement of disc diffusion images using object detection
Bachelor Thesis, Bachelorstudium Medizininformatik, ZHAW School of Engineering, 2026
Bachelor thesis supervision in the Bachelorstudium Medizininformatik at the ZHAW School of Engineering.