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Alejandro Guerrero-López
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
Matlab library: EODConnector
A library to retrieve any stock market data from EOD Historical Data market datafeed API.
Paper python code: Factor Analysis Variational AutoEncoder
Python code to Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space paper.
GPU monitoring
Bash simple script to monitorize the use of GPU by the colleagues of the department
Paper python code: Bayesian Sparse Factor Analysis with Kernelized Observations
Python code to Bayesian Sparse Factor Analysis with Kernelized Observations paper.
Paper python code: 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 script: PVPC reader
An unfinished project of reading public spanish electrical prices and do some ML
Paper python code: Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra
KSSHIBA model tailored for the MALDI-TOF data to predict simultanously from which hospital is the data coming from and the resistance mechanism of every bacteria to ESBL or CP.
Paper python code: 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. 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
Bayesian Sparse Factor Analysis with Kernelized Observations
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
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 preprint arXiv:2207.09185. 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
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
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
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
Clinical Microbiology with Multi-view deep probabilistic models
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.me/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, Volume 126, Part A, November 2023, 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. MALDI-TOF spectra of Clostridioides difficile Ribotypes. Zenodo; 2023. https://doi.org/10.5281/zenodo.10370872
Rapid, automatic typing of Clostridioides difficile Ribotypes Using MALDI-TOF MS
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
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
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
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Published in arXiv, 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
MARTA: a model for the automatic phonemic grouping of the parkinsonian speech
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
Exploring the Power of Photoplethysmogram Matrix for Atrial Fibrillation Detection with Integrated Explainability
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
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
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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
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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
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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
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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.
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
Neural Networks
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.
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.