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.
A library to retrieve any stock market data from EOD Historical Data market datafeed API.
Python code to Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space paper.
Bash simple script to monitorize the use of GPU by the colleagues of the department
Python code to Bayesian Sparse Factor Analysis with Kernelized Observations paper.
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.
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 code to Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability paper.
An unfinished project of reading public spanish electrical prices and do some ML
Slides of the BioInspired Learning course at MUIT UPM
Python code to Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra paper.
Python code to Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks paper.
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
Published in Multimedia Tools and Applications, 78, 2019
Recommended citation: Perales, F.J., Riera, L., Ramis, S., Guerrero-López, A. Evaluation of a VR system for Pain Management using binaural acoustic stimulation. Multimed Tools Appl 78, 32869–32890 (2019). https://doi.org/10.1007/s11042-019-07953-y https://link.springer.com/article/10.1007/s11042-019-07953-y
Published in Neurocomputing, 2022
Recommended citation: Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo, ayesian Sparse Factor Analysis with Kernelized Observations, Neurocomputing, 2022, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2022.03.024. https://doi.org/10.1016/j.neucom.2022.03.024
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 preprint arXiv:2207.09185. https://arxiv.org/abs/2207.09185
Published in Engineering Applications of Artificial Intelligence, 2023
Recommended citation: A. Guerrero-López, C. Sevilla-Salcedo, A. Candela, M. Hernández-García, E. Cercenado, P. M. Olmos, R. Cantón, P. Muñoz, V. Gómez-Verdejo, R. del Campo, and B. Rodríguez-Sánchez, “Automatic antibiotic resistance prediction in klebsiella pneumoniae based on maldi-tof mass spectra,” Engineering Applications of Artificial Intelligence, vol. 118, p. 105644, 2023. https://www.sciencedirect.com/science/article/pii/S0952197622006340
Published in Journal of Clinical Microbiology, 2023
Recommended citation: Ana Candela, Alejandro Guerrero-López, Miriam Mateos, Alicia Gómez-Asenjo, Manuel J. Arroyo, Marta Hernandez-García, Rosa del Campo, Emilia Cercenado, Aline Cuénod, Gema Méndez, Luis Mancera, Juan de Dios Caballero, Laura Martínez-García, Desirée Gijón, María Isabel Morosini, Patricia Ruiz-Garbajosa, Adrian Egli, Rafael Cantón, Patricia Muñoz, David Rodríguez-Temporal, Belén Rodríguez-Sánchez, 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
Published in Universidad Carlos III de Madrid, 2023
Recommended citation: Guerrero López AJ. Clinical microbiology with multi-view deep probabilistic models. http://hdl.handle.net/10016/37432 http://aguerrerolopez.github.io/files/Tesis_GuerreroLopez_AlejandroJorge_FormatoWeb.pdf
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, Volume 126, Part A, November 2023, 106840 https://doi.org/10.1016/j.engappai.2023.106840
Published in Zenodo, 2023
Recommended citation: Blázquez-Sánchez M, Guerrero-López A, Candela A, Sánchez-Cueto M, Marín M, Jiménez-Navarro L, et al. MALDI-TOF spectra of Clostridioides difficile Ribotypes. Zenodo; 2023. https://doi.org/10.5281/zenodo.10370872
Published in bioRxiv, 2024
Recommended citation: Sanchez-Blazquez M, Guerrero-Lopez A, Candela A, Belenguer-Llorens A, Moreno JM, Sevilla Salcedo C, Sanchez-Cueto M, Arroyo MJ, Calama N, Martin A, Gomez-Verdejo V. Rapid, automatic typing of Clostridioides difficile Ribotypes Using MALDI-TOF MS. bioRxiv. 2024:2024-01. Submitted to Nature Microbiology. https://doi.org/10.1101/2024.01.24.576988
Published in Zenodo, 2024
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 https://doi.org/10.5281/zenodo.10777657
Published in techRxiv, 2024
Recommended citation: Alejandro Guerrero-López, Julián D. Arias-Londoño, Stefanie Shattuck-Hufnagel, et al. MARTA: a model for the automatic phonemic grouping of the parkinsonian speech. TechRxiv. March 19, 2024. 10.36227/techrxiv.171084943.31044695 http://dx.doi.org/10.36227/techrxiv.171084943.31044695/v1
Published in Engineering Applications of Artificial Intelligence, 2024
Recommended citation: Fuster-Barceló, Caterina and Guerrero-López, Alejandro and Camara, Carmen and Peris-Lopez, Pedro, Exploring the Power of Ppg Matrix for Atrial Fibrillation Detection with Integrated Explainability. Engineering Applications of Artificial Intelligence, Volume 133, Part D, July 2024, 108325. https://doi.org/10.1016/j.engappai.2024.108325
Published in bioRxiv, 2024
Recommended citation: Sun, Y., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2024). Automatic semantic segmentation of the osseous structures of the paranasal sinuses. bioRxiv, 2024-06. https://doi.org/10.1101/2024.06.21.599833
Published in Zenodo, 2024
Recommended citation: Hernández-García, E., Guerrero-López, A., Arias-Londoño, J.D. et al. 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 https://doi.org/10.5281/zenodo.10256802
Published in Scientific Data, 2024
Recommended citation: Hernández-García, E., Guerrero-López, A., Arias-Londoño, J.D. et al. A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states. Sci Data 11, 746 (2024). https://doi.org/10.1038/s41597-024-03540-5 https://doi.org/10.1038/s41597-024-03540-5
Published in Accepted for publication in Scientific Data, 2024
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. arXiv 2403.02371. https://arxiv.org/abs/2403.02371 https://arxiv.org/abs/2403.02371
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.”
Published:
Presented a seminar about semi-supervised models applied to antimicrobial resistance prediction based on MALDI-TOF data in Alberto Tejedor Seminar.
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.
Published:
Presented a poster about identification of Enterobacter Cloacae Complex using supervised learning at 9ª Jornada de Investigación e Innovación IISGM.
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
Published:
Defended my PhD Thesis “Clinical microbiology with multi-view deep probabilistic models” qualified as a cum laude.
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:
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.
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.
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:
Master course, Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, 2022
Teaching assistant in the master course Neural Networks in the Master in Applied Artificial Intelligence.
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.
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.
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.
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.
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.
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.
Master course, Universidad Politécnica de Madrid, Master in Theoretical Signal Processing, 2024
Teaching assistant in the master course Bio Inspired Learning.
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.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Developing a AT techniques to make microbiology AI more robust.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Condition diffusion models on EEG to generate speech.