Publications
2025
Scholarly publications
Rojas-Velazquez, D. E., Tonda, A., & Lopez-Rincon, A. (2025). Biomarker Modelling in Omics Technologies Using Symbolic Regression. In G. Ochoa (Ed.), GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 895-898). (GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion). Association for Computing Machinery. [DOI]
Kidwai, S., Rojas-Velazquez, D., Lopez-Rincon, A., Kraneveld, A. D., Oberski, D. L., & Meijerman, I. (2025). Keeping pace in the age of innovation: The perspective of Dutch pharmaceutical science students on the position of machine learning training in an undergraduate curriculum. Currents in Pharmacy Teaching and Learning, 17(2), Article 102231. [DOI] [Portal]
2024
Scholarly publications
Rueda-Arango, Y. D., Rojas-Velazquez, D., Gorelova, A. V., & Lopez-Rincon, A. (2024). Exploring Human Perception of AI-Generated Artworks. In 2024 IEEE International Symposium on Technology and Society, ISTAS 2024 (International Symposium on Technology and Society, Proceedings). IEEE. [DOI] [Portal]
Rojas-Velazquez, D., Kidwai, S., de Vries, L., Tözsér, P., Valencia-Rosado, L. O., Garssen, J., Tonda, A., & Lopez-Rincon, A. (2024). Machine-Learning Analysis of mRNA: An Application to Inflammatory Bowel Disease. In 2024 16th International Conference on Human System Interaction, HSI 2024 (International Conference on Human System Interaction, HSI). IEEE. [DOI] [Portal]
Rueda-Arango, Y. D., Rojas-Velazquez, D., Gorelova, A. V., Garssen, J., Tonda, A., & Lopez-Rincon, A. (2024). Image Generation with Interactive Evolutionary System using Bayesian Optimization. In 2024 16th International Conference on Human System Interaction, HSI 2024 (International Conference on Human System Interaction, HSI). IEEE. [DOI] [Portal]
Rojas-Velazquez, D., Kidwai, S., Kraneveld, A. D., Tonda, A., Oberski, D., Garssen, J., & Lopez-Rincon, A. (2024). Methodology for biomarker discovery with reproducibility in microbiome data using machine learning. BMC Bioinformatics, 25(1), Article 26. [DOI] [Repository]
Peralta-Marzal, L. N., Rojas-Velazquez, D., Rigters, D., Prince, N., Garssen, J., Kraneveld, A. D., Perez-Pardo, P., & Lopez-Rincon, A. (2024). A robust microbiome signature for autism spectrum disorder across different studies using machine learning. Scientific Reports, 14(1), Article 814. [DOI] [Repository]
Lopez-Rincon, A., Rojas-Velazquez, E., Garssen, J., Laan, S. W. V. D., Oberski, D., & Tonda, A. (2024). Bayesian Optimization for the Inverse Problem in Electrocardiography. In 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 (pp. 1593-1598). Article 10371791 (2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023). IEEE. [DOI] [Repository]
2023
Scholarly publications
Kidwai, S., Barbiero, P., Meijerman, I., Tonda, A., Perez-Pardo, P., Lio, P., van der Maitland-Zee, A. H., Oberski, D. L., Kraneveld, A. D., & Lopez-Rincon, A. (2023). A robust mRNA signature obtained via recursive ensemble feature selection predicts the responsiveness of omalizumab in moderate-to-severe asthma. Clinical and Translational Allergy, 13(11), 1-11. Article e12306. [DOI] [Repository]
Benner, M., Feyaerts, D., Lopez-Rincon, A., Heijden, O. WH. V. D., Hoorn, M.-L. V. D., Joosten, I., Ferwerda, G., & Molen, R. G. V. D. (2023). 16:10-16:20 A combination of immune cell types identified through ensemble machine learning strategy detects altered profile in recurrent pregnancy loss. Journal of Reproductive Immunology, 158, Article 103535. [DOI] [Repository]
Perez-Romero, C. A., Mendoza-Maldonado, L., Tonda, A., Coz, E., Tabeling, P., Vanhomwegen, J., MacSharry, J., Szafran, J., Bobadilla-Morales, L., Corona-Rivera, A., Claassen, E., Garssen, J., Kraneveld, A. D., & Lopez-Rincon, A. (2023). An Innovative AI-based primer design tool for precise and accurate detection of SARS-CoV-2 variants of concern. Scientific Reports, 13(1), Article 15782. [DOI] [Repository]
Li, R., Shokri, F., Rincon, A. L., Rivadeneira, F., Medina-Gomez, C., & Ahmadizar, F. (2023). Bi-Directional Interactions between Glucose-Lowering Medications and Gut Microbiome in Patients with Type 2 Diabetes Mellitus: A Systematic Review. Genes, 14(8), Article 1572. [DOI] [Repository]
Rojas-Velazquez, D., Tonda, A., Rodriguez-Guerra, I., Kraneveld, A. D., & Lopez-Rincon, A. (2023). Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Proceedings: EvoApplications 2023: Applications of Evolutionary Computation pp 703–717 (pp. 703-717). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13989 LNCS). Springer. [DOI] [Repository]
Haasnoot, M. L., Kleuskens, M. T. A., Lopez-Rincon, A., Diks, M. A. P., Terreehorst, I., Akkerdaas, J. H., van Ree, R., van Ampting, M. T. J., Garssen, J., Redegeld, F. A., van Esch, B. C. A. M., & Bredenoord, A. J. (2023). In vivo and ex vivo inflammatory responses of the esophageal mucosa to food challenge in adults with eosinophilic esophagitis. Allergy, 78(7), 2044-2047. [DOI] [Repository]
Blankestijn, J. M., Lopez-Rincon, A., Neerincx, A. H., Vijverberg, S. J. H., Hashimoto, S., Gorenjak, M., Sardón Prado, O., Corcuera-Elosegui, P., Korta-Murua, J., Pino-Yanes, M., Potočnik, U., Bang, C., Franke, A., Wolff, C., Brandstetter, S., Toncheva, A. A., Kheiroddin, P., Harner, S., Kabesch, M., ... Consortium, T. S. (2023). Classifying asthma control using salivary and fecal bacterial microbiome in children with moderate-to-severe asthma. Pediatric Allergy and Immunology, 34(2), 1-10. Article e13919. [DOI] [Repository]
Ramírez Salinas, G. L., López Rincón, A., García Machorro, J., Correa Basurto, J., & Martínez Archundia, M. (2023). In Silico Screening of Drugs That Target Different Forms of E Protein for Potential Treatment of COVID-19. Pharmaceuticals, 16(2), Article 296. [DOI] [Repository]
Kamphorst, K., Lopez-Rincon, A., Vlieger, A. M., Garssen, J., Van ’t riet, E., & Van Elburg, R. M. (2023). Predictive factors for allergy at 4–6 years of age based on machine learning: A pilot study. PharmaNutrition, 23, 1-6. Article 100326. [DOI] [Repository]
2022
Scholarly publications
Lopez-Rincon, O., Starostenko, O., & Rincon, A. L. (2022). Algorithmic music generation by harmony recombination with genetic algorithm. Journal of Intelligent and Fuzzy Systems, 42(5), 4411-4423. [DOI] [Repository]
Benner, M., Feyaerts, D., Lopez-Rincon, A., van der Heijden, O. W. H., van der Hoorn, M.-L., Joosten, I., Ferwerda, G., & van der Molen, R. G. (2022). A combination of immune cell types identified through ensemble machine learning strategy detects altered profile in recurrent pregnancy loss: a pilot study. F&S science, 3(2), 166-173. [DOI] [Repository]
Mouhrim, N., Tonda, A., Rodríguez-Guerra, I., Kraneveld, A. D., & Rincon, A. L. (2022). An evolutionary approach to the discretization of gene expression profiles to predict the severity of COVID-19. In J. E. Fieldsend (Ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 731-734). Association for Computing Machinery. [DOI] [Repository]
PRIMA Initiative Group (2022). Analysing the protection from respiratory tract infections and allergic diseases early in life by human milk components: the PRIMA birth cohort. BMC Infectious Diseases, 22(1), 1-10. Article 152. [DOI] [Repository]
Szklany, K., Engen, P. A., Naqib, A., Green, S. J., Keshavarzian, A., Rincon, A. L., Siebrand, C. J., Diks, M. A. P., van de Kaa, M., Garssen, J., Knippels, L. M. J., & Kraneveld, A. D. (2022). Dietary supplementation throughout life with non‐digestible oligosaccharides and/or n‐3 poly‐unsaturated fatty acids in healthy mice modulates the gut–immune system–brain axis. Nutrients, 14(1), 1-29. Article 173. [DOI] [Repository]
2021
Scholarly publications
Benner, M., Lopez-Rincon, A., Thijssen, S., Garssen, J., Ferwerda, G., Joosten, I., van der Molen, R. G., & Hogenkamp, A. (2021). Antibiotic Intervention Affects Maternal Immunity During Gestation in Mice. Frontiers in Immunology, 12, 1-10. Article 685742. [DOI] [Repository]
Rincon, A. L., Romero, C. A. P., Maldonado, L. M., Claassen, E., Garssen, J., Kraneveld, A. D., & Tonda, A. (2021). Design of specific primer sets for SARS-CoV-2 variants using evolutionary algorithms. In F. Chicano (Ed.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 982-990). Association for Computing Machinery. [DOI] [Repository]
Metselaar, P. I., Mendoza-Maldonado, L., Li Yim, A. Y. F., Abarkan, I., Henneman, P., te Velde, A. A., Schönhuth, A., Bosch, J. A., Kraneveld, A. D., & Lopez-Rincon, A. (2021). Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific Reports, 11(1), 1-11. Article 4541. [DOI] [Repository]
Lopez-Rincon, A., Tonda, A., Mendoza-Maldonado, L., Mulders, D. G. J. C., Molenkamp, R., Perez-Romero, C. A., Claassen, E., Garssen, J., & Kraneveld, A. D. (2021). Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning. Scientific Reports, 11(1), 1-11. Article 947. [DOI] [Repository]
2020
Scholarly publications
Lopez Rincon, A., Tonda, A., Mendoza-Maldonado, L., Claassen, E., Garssen, J., & Kraneveld, A. D. (2020). A Missense Mutation in SARS-CoV-2 Potentially Differentiates Between Asymptomatic and Symptomatic Cases. (Bulletin of the World Health Organization). World Health Organization. [DOI]
Lopez Rincon, A., Tonda, A., Mendoza-Maldonado, L., Claassen, E., Garssen, J., & Kraneveld, A. D. (2020). Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning. (bioRxiv). bioRxiv. https://www.biorxiv.org/content/10.1101/2020.03.13.990242v1 [Repository]
Ainseba, B., Bendahmane, M., & Lopez Rincon, A. (2020). Effect of Torso Non-Homogeneities in the quasi-static inverse problems arising in electrocardiology. Moroccan Journal of Pure and Applied Sciences, 5(2), 235-250. [DOI] [Repository]
Lopez-Rincon, A., Cantu, C., Etcheverry, G., Soto, R., & Shimoda, S. (2020). Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain. Journal of Neuroscience Methods, 331, Article 108464. [DOI] [Repository]
Rincon, A. L., Kraneveld, A. D., & Tonda, A. (2020). Batch correction of genomic data in chronic fatigue syndrome using CMA-ES. 277-278. Paper presented at 2020 Genetic and Evolutionary Computation Conference, GECCO 2020, Cancun, Mexico. [DOI]
Lopez-Rincon, A., Mendoza-Maldonado, L., Martinez-Archundia, M., Schönhuth, A., Kraneveld, A. D., Garssen, J., & Tonda, A. (2020). Machine learning-based ensemble recursive feature selection of circulating mirnas for cancer tumor classification. Cancers, 12(7), 1-27. Article 1785. [DOI] [Repository]
2019
Scholarly publications
Lopez-Rincon, A. (2019). Emotion recognition using facial expressions in children using the NAO robot. In CONIELECOMP 2019 - 2019 International Conference on Electronics, Communications and Computers (pp. 146-153). Article 8673111 IEEE. [DOI]
2018
Scholarly publications
Lopez-Rincon, A., Tonda, A., Elati, M., Schwander, O., Piwowarski, B., & Gallinari, P. (2018). Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Applied Soft Computing Journal, 65, 91-100. [DOI]
2016
Scholarly publications
Rincon, A. L., Yamasaki, H., & Shimoda, S. (2016). Design of a video game for rehabilitation using motion capture, EMG analysis and virtual reality. In 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 (pp. 198-204). Article 7438575 IEEE. [DOI]
Rincon, A. L., Cantu, C., Soto, R., & Shimoda, S. (2016). Simulating the activation, contraction and movement of skeletal muscles using the bidomain model. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 6042-6045). Article 7592106 IEEE. [DOI]
Lopez Rincon, A., & Shimoda, S. (2016). The inverse problem in electroencephalography using the bidomain model of electrical activity. Journal of Neuroscience Methods, 274, 94-105. [DOI]
2015
Scholarly publications
Lopez-Rincon, A., Bendahmane, M., & Ainseba, B. (2015). On 3D numerical inverse problems for the bidomain model in electrocardiology. Computers and Mathematics with Applications, 69(4), 255-274. [DOI]
2014
Scholarly publications
Lopez, A., Cienfuegos, M., Ainseba, B., & Bendahmane, M. (2014). PSO with Tikhonov regularization for the inverse problem in electrocardiography. In J.-K. Hao, N. Monmarché, M.-M. Corsini, E. Lutton, P. Legrand, & M. Schoenauer (Eds.), Artificial Evolution - 11th International Conference, Evolution Artificielle, EA 2013, Revised Selected Papers (pp. 256-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8752). Springer. [DOI]
Lopez Rincon, A., Bendahmane, M., & Ainseba, B. (2014). Two-step genetic algorithm to solve the inverse problem in electrocardiography for cardiac sources. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2(3), 129-137. [DOI]
2013
Scholarly publications
École doctorale de mathématiques et informatique (Talence, Gironde), & Institut de mathématiques de Bordeaux (2013). Le problème inverse en l'électrocardiographie. Digital or Visual Products http://www.theses.fr/2013BOR15261/document
Rincon, A. L., Bendahmane, M., & Ainseba, B. (2013). Computing the electrical activity of the heart with a dynamic inverse monodomain operator. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2013, 3797-800. [DOI]
2012
Scholarly publications
Ainseba, BE., Bendahmane, M., & Rincon, A. L. (2012). Software for inverse voltage calculations in the heart's surface.. 34-39. [DOI]
2008
Scholarly publications
Lopez-Rincon, A., Vazquez-Gonzalez, J. L., Aguilera-Fernández, A., Navarro-Martinez, J. A., & Uribe, A. Z. E. (2008). Fast Fourier Transform Adjusted into 8 Bit Format for Instrumentation Purposes. In 18th International Conference on Electronics, Communications and Computers (conielecomp 2008) (pp. 95-98). IEEE. [DOI]
2006
Scholarly publications
Rincon, A. L., & Kirschning, I. (2006). Finder and Reader of Web Pages in Spanish for People with Visual Disadvantages.. 41. [DOI]