Publications

@article{Bonetti_2025,

title = {An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study},

author = {Andrea Bonetti and Adri\'{a}n Salcedo-Puche and Joan Vila-Franc\'{e}s and Xaro Benavent-Garcia and Emilio Fern\'{a}ndez-Vargas and Rafael Magdalena-Benedito and Emilio Soria-Olivas},

url = {http://dx.doi.org/10.3390/tourhosp6050266},

doi = {10.3390/tourhosp6050266},

issn = {2673-5768},

year  = {2025},

date = {2025-12-01},

journal = {Tourism and Hospitality},

volume = {6},

number = {5},

pages = {266},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{S_nchez_Ort__2025,

title = {Inflammation and weight change related to neurocognitive and functional impairment in diabetes and psychiatric disorders},

author = {Joan Vicent S\'{a}nchez-Ort\'{i} and Vicent Balanz\'{a}-Mart\'{i}nez and Patricia Correa-Ghisays and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and V\'{i}ctor M. Victor and Irene Escribano-Lopez and Antonio Hernandez-Mijares and Juliana Vivas-Lalinde and Benedicto Crespo-Facorro and Rafael Tabar\'{e}s-Seisdedos},

url = {http://dx.doi.org/10.1016/j.sjpmh.2024.05.001},

doi = {10.1016/j.sjpmh.2024.05.001},

issn = {2950-2853},

year  = {2025},

date = {2025-10-01},

journal = {Spanish Journal of Psychiatry and Mental Health},

volume = {18},

number = {4},

pages = {256\textendash265},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{c8q9-6vy7,

title = {Quantum active learning},

author = {Yongcheng Ding and Yue Ban and Mikel Sanz and Jos\'{e} D. Mart'ın-Guerrero and Xi Chen},

url = {https://link.aps.org/doi/10.1103/c8q9-6vy7},

doi = {10.1103/c8q9-6vy7},

year  = {2025},

date = {2025-07-01},

journal = {Phys. Rev. A},

volume = {112},

issue = {1},

pages = {012409},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chilet_Martos_2025,

title = {Automated classification of oral cancer lesions: Vision transformers vs radiomics},

author = {Eva Chilet-Martos and Joan Vila-Franc\'{e}s and Jos\'{e} V. Bagan and Yolanda Vives-Gilabert},

url = {http://dx.doi.org/10.1016/j.compbiomed.2025.109913},

doi = {10.1016/j.compbiomed.2025.109913},

issn = {0010-4825},

year  = {2025},

date = {2025-05-01},

journal = {Computers in Biology and Medicine},

volume = {189},

pages = {109913},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gomis_Maya_2025,

title = {Automatic magnetic resonance imaging series labelling for large repositories},

author = {Armando Gomis-Maya and Leonor Cerd\'{a}-Alberich and Diana Veiga-Canuto and Salvatore Claudio-Fanni and Amadeo Ten-Steve and Gloria Ribas-Despuig and Pedro Jos\'{e} Mallol-Rosell\'{o} and Joan Vila-Frances and Luis Marti-Bonmati},

url = {http://dx.doi.org/10.1186/s40537-025-01086-w},

doi = {10.1186/s40537-025-01086-w},

issn = {2196-1115},

year  = {2025},

date = {2025-02-01},

journal = {Journal of Big Data},

volume = {12},

number = {1},

publisher = {Springer Science and Business Media LLC},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Herreros_Mart_nez_2025,

title = {Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest},

author = {Antonio Herreros-Mart\'{i}nez and Rafael Magdalena-Benedicto and Joan Vila-Franc\'{e}s and Antonio Jos\'{e} Serrano-L\'{o}pez and Sonia P\'{e}rez-D\'{i}az and Jos\'{e} Javier Mart\'{i}nez-Herr\'{a}iz},

url = {http://dx.doi.org/10.3390/info16030177},

doi = {10.3390/info16030177},

issn = {2078-2489},

year  = {2025},

date = {2025-02-01},

journal = {Information},

volume = {16},

number = {3},

pages = {177},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mateo_2025,

title = {Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance},

author = {Fernando Mateo and Joan Vila-Franc\'{e}s and Emilio Soria-Olivas and Marcelino Mart\'{i}nez-Sober and Juan G\'{o}mez-Sanchis and Antonio Jos\'{e} Serrano-L\'{o}pez},

url = {http://dx.doi.org/10.3390/app15020882},

doi = {10.3390/app15020882},

issn = {2076-3417},

year  = {2025},

date = {2025-01-01},

journal = {Applied Sciences},

volume = {15},

number = {2},

pages = {882},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1002/qute.202300294,

title = {Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors},

author = {Carlos Hernani-Morales and Gabriel Alvarado and Francisco Albarr\'{a}n-Arriagada and Yolanda Vives-Gilabert and Enrique Solano and Jos\'{e} D. Mart\'{i}n-Guerrero},

url = {https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/qute.202300294},

doi = {https://doi.org/10.1002/qute.202300294},

year  = {2025},

date = {2025-01-01},

journal = {Advanced Quantum Technologies},

volume = {8},

number = {12},

pages = {2300294},

abstract = {Abstract Machine learning (ML) methods are proposed to characterize the memristive properties of single and coupled quantum memristors. It is shown that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory. The results strengthen the possibility of using quantum memristors as key components of neuromorphic quantum computing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1002/qute.202300208,

title = {Active Learning in Physics: From 101, to Progress, and Perspective},

author = {Yongcheng Ding and Jos\'{e} D. Mart\'{i}n-Guerrero and Yolanda Vives-Gilabert and Xi Chen},

url = {https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/qute.202300208},

doi = {https://doi.org/10.1002/qute.202300208},

year  = {2025},

date = {2025-01-01},

journal = {Advanced Quantum Technologies},

volume = {8},

number = {12},

pages = {2300208},

abstract = {Abstract Active learning (AL) is a family of machine learning (ML) algorithms that predates the current era of artificial intelligence. Unlike traditional approaches that require labeled samples for training, AL iteratively selects unlabeled samples to be annotated by an expert. This protocol aims to prioritize the most informative samples, leading to improved model performance compared to training with all labeled samples. In recent years, AL has gained increasing attention, particularly in the field of physics. This paper presents a comprehensive and accessible introduction to the theory of AL reviewing the latest advancements across various domains. Additionally, the potential integration of AL is explored with quantum ML, envisioning a synergistic fusion of these two fields rather than viewing AL as a mere extension of classical ML into the quantum realm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1002/qute.202500896,

title = {Quantum Machine Learning},

author = {Lucas Lamata and Jos\'{e} D. Mart\'{i}n-Guerrero},

url = {https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/qute.202500896},

doi = {https://doi.org/10.1002/qute.202500896},

year  = {2025},

date = {2025-01-01},

journal = {Advanced Quantum Technologies},

volume = {8},

number = {12},

pages = {e00896},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevResearch.6.L042060,

title = {Digital-analog quantum convolutional neural networks for image classification},

author = {Anton Simen and Carlos Flores-Garrigos and Narendra N. Hegade and Iraitz Montalban and Yolanda Vives-Gilabert and Eric Michon and Qi Zhang and Enrique Solano and Jos\'{e} D. Mart'ın-Guerrero},

url = {https://link.aps.org/doi/10.1103/PhysRevResearch.6.L042060},

doi = {10.1103/PhysRevResearch.6.L042060},

year  = {2024},

date = {2024-12-01},

journal = {Phys. Rev. Res.},

volume = {6},

issue = {4},

pages = {L042060},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dionis_Ros_2024,

title = {Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras},

author = {Alejandro Dionis-Ros and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Fernando Mateo and Antonio J. Serrano-L\'{o}pez},

url = {http://dx.doi.org/10.3390/app142311075},

doi = {10.3390/app142311075},

issn = {2076-3417},

year  = {2024},

date = {2024-11-01},

journal = {Applied Sciences},

volume = {14},

number = {23},

pages = {11075},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luperdi_2024,

title = {Verbal fluency in schizophrenia and bipolar disorder - A longitudinal, family study},

author = {Sussy C. Luperdi and Patricia Correa-Ghisays and Joan Vila-Franc\'{e}s and Gabriel Selva-Vera and Lorenzo Livianos and Rafael Tabar\'{e}s-Seisdedos and Vicent Balanz\'{a}-Mart\'{i}nez},

url = {http://dx.doi.org/10.1016/j.jpsychires.2024.07.056},

doi = {10.1016/j.jpsychires.2024.07.056},

issn = {0022-3956},

year  = {2024},

date = {2024-10-01},

journal = {Journal of Psychiatric Research},

volume = {178},

pages = {33\textendash40},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{_lvarez_Garc_a_2024,

title = {Beyond Words: Analyzing Emotions and Linguistic Characteristics to Detect Hoax-Related Tweets During Spanish Regional Elections},

author = {Elena \'{A}lvarez-Garc\'{i}a and Daniel Garc\'{i}a-Costa and Sandra Paniagua and Julian Vicens and Joan Vila-Franc\'{e}s and Francisco Grimaldo},

url = {http://dx.doi.org/10.1007/s44196-024-00629-y},

doi = {10.1007/s44196-024-00629-y},

issn = {1875-6883},

year  = {2024},

date = {2024-09-01},

journal = {International Journal of Computational Intelligence Systems},

volume = {17},

number = {1},

publisher = {Springer Science and Business Media LLC},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevA.110.032614,

title = {Robust two-qubit gate with reinforcement learning and dropout},

author = {Tian-Niu Xu and Yongcheng Ding and Jos\'{e} D. Mart'ın-Guerrero and Xi Chen},

url = {https://link.aps.org/doi/10.1103/PhysRevA.110.032614},

doi = {10.1103/PhysRevA.110.032614},

year  = {2024},

date = {2024-09-01},

journal = {Phys. Rev. A},

volume = {110},

issue = {3},

pages = {032614},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ferrer-S\'{a}nchez_2024,

title = {Physics-informed neural networks for an optimal counterdiabatic quantum computation},

author = {Antonio Ferrer-S\'{a}nchez and Carlos Flores-Garrigos and Carlos Hernani-Morales and Jos\'{e} J Orqu\'{i}n-Marqu\'{e}s and Narendra N Hegade and Alejandro Gomez Cadavid and Iraitz Montalban and Enrique Solano and Yolanda Vives-Gilabert and Jos\'{e} D Mart\'{i}n-Guerrero},

url = {https://dx.doi.org/10.1088/2632-2153/ad450f},

doi = {10.1088/2632-2153/ad450f},

year  = {2024},

date = {2024-05-01},

journal = {Machine Learning: Science and Technology},

volume = {5},

number = {2},

pages = {025035},

publisher = {IOP Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{FERRERSANCHEZ2024116906,

title = {Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics},

author = {Antonio Ferrer-S\'{a}nchez and Jos\'{e} D. Mart\'{i}n-Guerrero and Roberto Ruiz Austri-Bazan and Alejandro Torres-Forn\'{e} and Jos\'{e} A. Font},

url = {https://www.sciencedirect.com/science/article/pii/S0045782524001622},

doi = {https://doi.org/10.1016/j.cma.2024.116906},

issn = {0045-7825},

year  = {2024},

date = {2024-01-01},

journal = {Computer Methods in Applied Mechanics and Engineering},

volume = {424},

pages = {116906},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{FERNANDEZDELASPENAS2024111635,

title = {Trajectory of anxiety/depressive symptoms and sleep quality in individuals who had been hospitalized by COVID-19: The LONG-COVID-EXP multicenter study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} A. Arias-Naval\'{o}n and Jos\'{e} D. Mart\'{i}n-Guerrero and Oscar J. Pellicer-Valero and Margarita Cigar\'{a}n-M\'{e}ndez},

url = {https://www.sciencedirect.com/science/article/pii/S0022399924000473},

doi = {https://doi.org/10.1016/j.jpsychores.2024.111635},

issn = {0022-3999},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Psychosomatic Research},

volume = {179},

pages = {111635},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{infection2023_clustering,

title = {Clustering analysis reveals different profiles associating long-term post-COVID symptoms, COVID-19 symptoms at hospital admission and previous medical co-morbidities in previously hospitalized COVID-19 survivors},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Lidiane L. Florencio and Esperanza Navarro-Pardo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Juan Torres-Macho and Oscar J. Pellicer-Valero},

url = {https://doi.org/10.1007/s15010-022-01822-x},

doi = {10.1007/s15010-022-01822-x},

isbn = {1439-0973},

year  = {2023},

date = {2023-02-01},

urldate = {2023-02-01},

journal = {Infection},

volume = {51},

number = {1},

pages = {61--69},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{entropy_financial_crash2023,

title = {Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer},

author = {Yongcheng Ding and Javier Gonzalez-Conde and Lucas Lamata and Jos\'{e} D. Mart\'{i}n-Guerrero and Enrique Lizaso and Samuel Mugel and Xi Chen and Rom\'{a}n Or\'{u}s and Enrique Solano and Mikel Sanz},

url = {https://doi.org/10.3390/e25020323},

doi = {10.3390/e25020323},

issn = {1099-4300},

year  = {2023},

date = {2023-01-01},

journal = {Entropy},

volume = {25},

number = {2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pain2023_muskulosek,

title = {Exploring the trajectory curve of long-term musculoskeletal post-COVID pain symptoms in hospitalized COVID-19 survivors: a multicenter study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Jorge Rodr\'{i}guez-Jim\'{e}nez and Oscar J. Pellicer-Valero and Jos\'{e} D. Mart\'{i}n-Guerrero and Lars Arendt-Nielsen},

url = {https://doi.org/10.1097/j.pain.0000000000002718},

isbn = {0304-3959},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {PAIN},

volume = {164},

number = {2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{v15051134,

title = {Trajectory of Gastrointestinal Symptoms in Previously Hospitalized COVID-19 Survivors: The Long COVID Experience Multicenter Study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Juan Torres-Macho and Carlos Guijarro and Jos\'{e} D. Mart\'{i}n-Guerrero and Oscar J. Pellicer-Valero and Gustavo Plaza-Manzano},

url = {https://doi.org/10.3390/v15051134},

doi = {10.3390/v15051134},

issn = {1999-4915},

year  = {2023},

date = {2023-01-01},

journal = {Viruses},

volume = {15},

number = {5},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{app13106038,

title = {Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks},

author = {Andrea Bonetti and Marcelino Mart\'{i}nez-Sober and Julio C. Torres and Jose M. Vega and Sebastien Pellerin and Joan Vila-Franc\'{e}s},

url = {https://www.mdpi.com/2076-3417/13/10/6038},

doi = {10.3390/app13106038},

issn = {2076-3417},

year  = {2023},

date = {2023-01-01},

journal = {Applied Sciences},

volume = {13},

number = {10},

abstract = {The way we communicate has been revolutionised by the widespread use of social networks. Any kind of online message can reach anyone in the world almost instantly. The speed with which information spreads is undoubtedly the strength of social networks, but at the same time, any user of these platforms can see how toxic messages spread in parallel with likes, comments and ratings about any person or entity. In such cases, the victim feels even more helpless and defenceless as a result of the rapid spread. For this reason, we have implemented an automatic detector of toxic messages on social media. This allows us to stop toxicity in its tracks and protect victims. In particular, the aim of the survey is to demonstrate how traditional Machine Learning methods of Natural Language Processing (NLP) work on equal terms with Deep Learning methods represented by a Transformer architecture and characterised by a higher computational cost. In particular, the paper describes the results obtained by testing different supervised Machine Learning classifiers (Logistic Regression, Random Forest and Support Vector Machine) combined with two topic-modelling techniques of NLP, (Latent Semantic Analysis and Latent Dirichlet Allocation). A pre-trained Transformer named BERTweet was also tested. All models performed well in this task, so much so that values close to or above 90% were achieved in terms of the F1 score evaluation metric. The best result achieved by Transformer BERTweet, 91.40%, was therefore not impressive in this context, as the performance gains are too small compared to the computational overhead.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jcm12134391,

title = {Prevalence of Self-Reported Anosmia and Ageusia in Elderly Patients Who Had Been Previously Hospitalized by SARS-CoV-2: The LONG-COVID-EXP Multicenter Study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ricardo Ortega-Santiago and Ignacio Cancela-Cilleruelo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Stella Fuensalida-Novo and Jos\'{e} D. Mart\'{i}n-Guerrero and \'{O}scar J. Pellicer-Valero and Margarita Cigar\'{a}n-M\'{e}ndez},

url = {https://doi.org/10.3390/jcm12134391},

doi = {10.3390/jcm12134391},

issn = {2077-0383},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Clinical Medicine},

volume = {12},

number = {13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{biomedicines11071863,

title = {Trajectory of Post-COVID Self-Reported Fatigue and Dyspnoea in Individuals Who Had Been Hospitalized by COVID-19: The LONG-COVID-EXP Multicenter Study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ignacio Cancela-Cilleruelo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Stella Fuensalida-Novo and Jos\'{e} D. Mart\'{i}n-Guerrero and Oscar J. Pellicer-Valero and Ana I. de-la-Llave-Rinc\'{o}n},

url = {https://doi.org/10.3390/biomedicines11071863},

doi = {10.3390/biomedicines11071863},

issn = {2227-9059},

year  = {2023},

date = {2023-01-01},

journal = {Biomedicines},

volume = {11},

number = {7},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1093/pm/pnac206,

title = {Clustering analysis identifies two subgroups of women with fibromyalgia with different psychological, cognitive, health-related, and physical features but similar widespread pressure pain sensitivity},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Juan Antonio Valera-Calero and Lars Arendt-Nielsen and Jos\'{e} D Mart\'{i}n-Guerrero and Margarita Cigar\'{a}n-M\'{e}ndez and Esperanza Navarro-Pardo and Oscar J Pellicer-Valero},

url = {https://doi.org/10.1093/pm/pnac206},

doi = {10.1093/pm/pnac206},

issn = {1526-4637},

year  = {2023},

date = {2023-01-01},

journal = {Pain Medicine},

volume = {24},

number = {7},

pages = {881-889},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{psymed2023,

title = {Trajectory curves of post-COVID anxiety/depressive symptoms and sleep quality in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP-CM multicenter study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Jorge Rodr\'{i}guez-Jim\'{e}nez and Oscar J. Pellicer-Valero},

url = {https://doi.org/10.1017/S003329172200006X},

doi = {10.1017/S003329172200006X},

year  = {2023},

date = {2023-01-01},

journal = {Psychological Medicine},

volume = {53},

number = {9},

pages = {4298\textendash4299},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1093/ckj/sfad168,

title = {From electronic health records to clinical management systems: how the digital transformation can support healthcare services},

author = {Carlo Barbieri and Luca Neri and Stefano Stuard and Flavio Mari and Jos\'{e} D Mart\'{i}n-Guerrero},

url = {https://doi.org/10.1093/ckj/sfad168},

doi = {10.1093/ckj/sfad168},

issn = {2048-8505},

year  = {2023},

date = {2023-01-01},

journal = {Clinical Kidney Journal},

volume = {16},

number = {11},

pages = {1878-1884},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fnhum.2023.1259660,

title = {Trajectory of post-COVID brain fog, memory loss, and concentration loss in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP multicenter study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ignacio Cancela-Cilleruelo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Jos\'{e} A. Arias-Naval\'{o}n and Jos\'{e} D. Mart\'{i}n-Guerrero and Oscar J. Pellicer-Valero and Lars Arendt-Nielsen and Margarita Cigar\'{a}n-M\'{e}ndez},

url = {https://www.frontiersin.org/articles/10.3389/fnhum.2023.1259660},

doi = {10.3389/fnhum.2023.1259660},

issn = {1662-5161},

year  = {2023},

date = {2023-01-01},

journal = {Frontiers in Human Neuroscience},

volume = {17},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Vila2023,

title = {Empirical study of the modulus as activation function in computer vision applications},

author = {I. Vall\'{e}s-P\'{e}rez and E. Soria-Olivas and M. Mart\'{i}nez-Sober and A. J. Serrano-L\'{o}pez and J. Vila-Franc\'{e}s and J. G\'{o}mez-Sanch\'{i}s},

year  = {2023},

date = {2023-01-01},

journal = {Engineering Applications of Artificial Intelligence},

volume = {120},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Vila2023b,

title = {Inflammation and lipid metabolism as potential biomarkers of memory impairment across type 2 diabetes mellitus and severe mental disorders},

author = {J. V. S\'{a}nchez-Ort\'{i} and P. Correa-Ghisays and V. Balanz\'{a}-Mart\'{i}nez and G. Selva-Vera and J. Vila-Franc\'{e}s and R. Magdalena-Benedito and C. San-Martin and V. M. Victor and I. Escribano-Lopez and A. Hernandez-Mijares and J. Vivas-Lalinde and B. Crespo-Facorro and R. Tabar\'{e}s-Seisdedos},

year  = {2023},

date = {2023-01-01},

journal = {Progress in Neuro-Psychopharmacology and Biological Psychiatry},

volume = {127},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{neurocovid,

title = {Exploring trajectory recovery curves of post-COVID cognitive symptoms in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP-CM multicenter study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Ignacio Cancela-Cilleruelo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Paloma Moro-L\'{o}pez-Menchero and Oscar J. Pellicer-Valero},

url = {https://doi.org/10.1007/s00415-022-11176-x},

doi = {10.1007/s00415-022-11176-x},

isbn = {1432-1459},

year  = {2022},

date = {2022-09-01},

journal = {Journal of Neurology},

volume = {269},

number = {9},

pages = {4613--4617},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{covid-smell-taste2022,

title = {Exploring Trajectory Curves from Loss of Smell and Taste in Previously Hospitalized COVID-19 Survivors: the LONG-COVID-EXP-CM Multicenter Study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Esperanza Navarro-Pardo and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Oscar J. Pellicer-Valero},

url = {https://doi.org/10.1007/s11606-022-07459-8},

doi = {10.1007/s11606-022-07459-8},

isbn = {1525-1497},

year  = {2022},

date = {2022-05-01},

journal = {Journal of General Internal Medicine},

volume = {37},

number = {7},

pages = {1821--1823},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1111/acps.13433,

title = {Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders},

author = {Joan Vicent S\'{a}nchez-Ort\'{i} and Vicent Balanz\'{a}-Mart\'{i}nez and Patricia Correa-Ghisays and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and V\'{i}ctor M. Victor and Irene Escribano-Lopez and Antonio Hern\'{a}ndez-Mijares and Juliana Vivas-Lalinde and Benedicto Crespo-Facorro and Rafael Tabar\'{e}s-Seisdedos},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/acps.13433},

doi = {https://doi.org/10.1111/acps.13433},

year  = {2022},

date = {2022-04-13},

journal = {Acta Psychiatrica Scandinavica},

volume = {n/a},

number = {n/a},

abstract = {Abstract Objective Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairments in these individuals. The predictive and discriminatory validity of MetS and its components regarding those outcomes were assessed from prospective and transdiagnostic perspectives. Methods Metabolic syndrome components and neurocognitive and social functioning were assessed in 165 subjects, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HCs). A posteriori, individuals were classified into two groups. The MetS group consisted of those who met at least three of the following criteria: abdominal obesity (AO), elevated triglycerides (TG), reduced high-density lipoprotein cholesterol (HDL), elevated blood pressure (BP), and elevated fasting glucose (FPG); the remaining participants comprised the No-MetS group. Mixed one-way analysis of covariance and linear and binary logistic regression analyses were performed. Results Cognitive impairment was significantly greater in the MetS group (n = 82) than in the No-MetS group (n = 83), with small effect sizes (p \< 0.05; η²p = 0.02 \textendash 0.03). In both groups, the most robust associations between MetS components and neurocognitive and social functioning were observed with TG and FPG (p \< 0.05). There was also evidence for a significant relationship between cognition and BP in the MetS group (p \< 0.05). The combination of TG, FPG, elevated systolic BP and HDL best classified individuals with greater cognitive impairment (p \< 0.001), and TG was the most accurate (p \< 0.0001). Conclusions Specific MetS components are significantly associated with cognitive impairment across somatic and psychiatric disorders. Our findings provide further evidence on the summative effect of MetS components to predict cognition and social functioning and allow the identification of individuals with worse outcomes. Transdiagnostic, lifestyle-based therapeutic interventions targeted at that group hold the potential to improve health outcomes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{S_nchez_Ort__2022,

title = {Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders},

author = {Joan Vicent S\'{a}nchez-Ort'ı and Vicent Balanz\'{a}-Mart'ınez and Patricia Correa-Ghisays and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and V'ıctor M. Victor and Irene Escribano-Lopez and Antonio Hern\'{a}ndez-Mijares and Juliana Vivas-Lalinde and Benedicto Crespo-Facorro and Rafael Tabar\'{e}s-Seisdedos},

url = {https://doi.org/10.1111%2Facps.13433},

doi = {10.1111/acps.13433},

year  = {2022},

date = {2022-04-01},

journal = {Acta Psychiatrica Scandinavica},

publisher = {Wiley},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{STA_experimental2022,

title = {Experimentally realizing efficient quantum control with reinforcement learning},

author = {Ming-Zhong Ai and Yongcheng Ding and Yue Ban and Jos\'{e} D. Mart\'{i}n-Guerrero and Jorge Casanova and Jin-Ming Cui and Yun-Feng Huang and Xi Chen and Chuan-Feng Li and Guang-Can Guo},

url = {https://doi.org/10.1007/s11433-021-1841-2},

doi = {10.1007/s11433-021-1841-2},

isbn = {1869-1927},

year  = {2022},

date = {2022-03-10},

urldate = {2022-03-10},

journal = {Science China Physics, Mechanics \& Astronomy},

volume = {65},

number = {5},

pages = {250312},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevResearch.4.013213,

title = {Active learning for the optimal design of multinomial classification in physics},

author = {Yongcheng Ding and Jos\'{e} D. Mart\'{i}n-Guerrero and Yujing Song and Rafael Magdalena-Benedicto and Xi Chen},

url = {https://doi.org/10.1103/PhysRevResearch.4.013213},

doi = {10.1103/PhysRevResearch.4.013213},

year  = {2022},

date = {2022-03-01},

journal = {Phys. Rev. Research},

volume = {4},

issue = {1},

pages = {013213},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cite-keyiem,

title = {Gastrointestinal symptoms at the acute COVID-19 phase are risk factors for developing gastrointestinal post-COVID symptoms: a multicenter study},

author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} Mart\'{i}n-Guerrero and Esperanza Navarro-Pardo and Juan Torres-Macho and MªGabriela Canto-Diez and Oscar Pellicer-Valero},

url = {https://doi.org/10.1007/s11739-021-02850-5},

doi = {10.1007/s11739-021-02850-5},

isbn = {1970-9366},

year  = {2022},

date = {2022-03-01},

journal = {Internal and Emergency Medicine},

volume = {17},

number = {2},

pages = {583--586},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sr_pellicer,

title = {Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images},

author = {Oscar J. Pellicer-Valero and Jos\'{e} L. Marenco Jim\'{e}nez and Victor Gonzalez-Perez and Juan Luis Casanova Ram\'{o}n-Borja and Isabel Mart\'{i}n Garc\'{i}a and Mar\'{i}a Barrios Benito and Paula Pelechano G\'{o}mez and Jos\'{e} Rubio-Briones and Mar\'{i}a Jos\'{e} Rup\'{e}rez and Jos\'{e} D. Mart\'{i}n-Guerrero},

url = {https://doi.org/10.1038/s41598-022-06730-6},

isbn = {2045-2322},

year  = {2022},

date = {2022-02-22},

urldate = {2022-02-22},

journal = {Scientific Reports},

volume = {12},

number = {1},

pages = {2975},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wang_2022,

title = {Quantum pattern recognition in photonic circuits},

author = {Rui Wang and Carlos Hernani-Morales and Jos\'{e} D Mart\'{i}n-Guerrero and Enrique Solano and Francisco Albarr\'{a}n-Arriagada},

url = {https://doi.org/10.1088/2058-9565/ac3460},

doi = {10.1088/2058-9565/ac3460},

year  = {2022},

date = {2022-01-01},

journal = {Quantum Science and Technology},

volume = {7},

number = {1},

pages = {015010},

publisher = {IOP Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ijerph19084682,

title = {Bayesian Linear Regressions Applied to Fibromyalgia Syndrome for Understanding the Complexity of This Disorder},

author = {Margarita I. Cigar\'{a}n-M\'{e}ndez and Oscar J. Pellicer-Valero and Jos\'{e} D. Mart\'{i}n-Guerrero and Umut Varol and C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Esperanza Navarro-Pardo and Juan A. Valera-Calero},

url = {https://doi.org/10.3390/ijerph19084682},

doi = {10.3390/ijerph19084682},

issn = {1660-4601},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {19},

number = {8},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fneur.2022.883927,

title = {Immune--Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study},

author = {Marta Gar\'{e}s-Caballer and Joan Vicent S\'{a}nchez-Ort\'{i} and Patricia Correa-Ghisays and Vicent Balanz\'{a}-Mart\'{i}nez and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and Victor M. Victor and Irene Escribano-Lopez and Antonio Hernandez-Mijares and Juliana Vivas-Lalinde and Eduard Vieta and Juan C. Leza and Rafael Tabar\'{e}s-Seisdedos},

year  = {2022},

date = {2022-01-01},

journal = {Frontiers in Neurology},

volume = {13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}