Recent publications
Article
Zaqueros-Martinez, J, Rodriguez-Gomez, G, Tlelo-Cuautle, E & Orihuela-Espina, F 2023, 'Fuzzy Synchronization of Chaotic Systems with Hidden Attractors', Entropy, vol. 25, no. 3, 495. https://doi.org/10.3390/e25030495
Hernández-Román, J, Montero-Hernández, S, Vega, R, Orihuela-Espina, F & Soto, E 2023, 'Galvanic Vestibular Stimulation Activates the Parietal and Temporal Cortex in Humans: A functional near-infrared spectroscopy (fNIRS) Study.', European Journal of Neuroscience. https://doi.org/10.1111/ejn.16041
Dale, R, O'Sullivan, TD, Howard, S, Orihuela-Espina, F & Dehghani, H 2023, 'System derived spatial-temporal CNN for high-density fNIRS BCI', IEEE Open Journal of Engineering in Medicine and Biology. https://doi.org/10.1109/OJEMB.2023.3248492
García-Mendoza, JL, Villaseñor-Pineda, L, Orihuela-Espina, F & Bustio-Martínez, L 2022, 'An autoencoder-based representation for noise reduction in distant supervision of relation extraction', Journal of Intelligent and Fuzzy Systems, vol. 42, no. 5, pp. 4523-4529. https://doi.org/10.3233/JIFS-219241
Sunwoo, J, Zavriyev, AI, Kaya, K, Martin, A, Munster, C, Steele, T, Cuddyer, D, Sheldon, Y, Orihuela-Espina, F, Herzberg, EM, Inder, T, Franceschini, MA & El-Dib, M 2022, 'Diffuse correlation spectroscopy blood flow monitoring for intraventricular hemorrhage vulnerability in extremely low gestational age newborns', Scientific Reports, vol. 12, no. 1, 12798. https://doi.org/10.1038/s41598-022-16499-3
Kaya, K, Zavriyev, AI, Orihuela-Espina, F, Simon, MV, LaMuraglia, GM, Pierce, ET, Franceschini, MA & Sunwoo, J 2022, 'Intraoperative cerebral hemodynamic monitoring during carotid endarterectomy via diffuse correlation spectroscopy and near-infrared spectroscopy', Brain Sciences, vol. 12, no. 8, 1025. https://doi.org/10.3390/brainsci12081025
Ayaz, H, Baker, WB, Blaney, G, Boas, DA, Bortfeld, H, Brady, K, Brake, J, Brigadoi, S, Buckley, EM, Carp, SA, Cooper, RJ, Cowdrick, KR, Culver, JP, Dan, I, Dehghani, H, Devor, A, Durduran, T, Eggebrecht, AT, Emberson, LL, Fang, Q, Fantini, S, Franceschini, MA, Fischer, JB, Gervain, J, Hirsch, J, Hong, KS, Horstmeyer, R, Kainerstorfer, JM, Ko, TS, Licht, DJ, Liebert, A, Luke, R, Lynch, JM, Mesquida, J, Mesquita, RC, Naseer, N, Novi, SL, Orihuela-Espina, F, O'Sullivan, TD, Peterka, DS, Pifferi, A, Pollonini, L, Sassaroli, A, Sato, JR, Scholkmann, F, Spinelli, L, Srinivasan, VJ, St. Lawrence, K, Tachtsidis, I, Tong, Y, Torricelli, A, Urner, T, Wabnitz, H, Wolf, M, Wolf, U, Xu, S, Yang, C, Yodh, AG, Yücel, MA & Zhou, W 2022, 'Optical imaging and spectroscopy for the study of the human brain: status report: status report', Neurophotonics, vol. 9, no. S2, S24001. https://doi.org/10.1117/1.NPh.9.S2.S24001
Garcia-Mendoza, JL, Villasenor-Pineda, L & Orihuela-Espina, F 2022, 'Risks of misinterpretation in the evaluation of distant supervision for relation extraction', Procesamiento de Lenguaje Natural, vol. 68, pp. 71-83. <http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6407>
Chapter (peer-reviewed)
Orihuela-Espina, F, Rojas-Cisneros, M, Montero-Hernández, SA, García-Salinas, JS, Cuervo-Soto, B & Herrera-Vega, J 2022, Physics augmented classification of fNIRS signals. in Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications. Elsevier, pp. 375-405. https://doi.org/10.1016/B978-0-12-820125-1.00031-2
Zaqueros-Martinez, J, Rodriguez-Gomez, G, Tlelo-Cuautle, E & Orihuela-Espina, F 2022, Synchronization of chaotic electroencephalography (EEG) signals. in AA Abd El-Latif & C Volos (eds), Cybersecurity: A New Approach Using Chaotic Systems. 1 edn, Studies in Big Data, vol. 102, Springer, pp. 83-108. https://doi.org/10.1007/978-3-030-92166-8_5
Conference contribution
García-Mendoza, JL, Villaseñor-Pineda, L, Buscaldi, D, Bustio-Martínez, L & Orihuela-Espina, F 2022, Evaluation of a new representation for noise reduction in distant supervision. in O Pichardo Lagunas, B Martínez Seis & J Martínez-Miranda (eds), Advances in Computational Intelligence: 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Proceedings, Part II. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13613 LNAI, Springer, pp. 101-113, 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, 24/10/22. https://doi.org/10.1007/978-3-031-19496-2_8
Zaqueros-Martinez, J, Rodríguez-Gómez, G, Tlelo-Cuautle, E & Orihuela-Espina, F 2022, Trigonometric polynomials methods to simulate oscillating chaotic systems. in C Tsitouras, Z Kalogiratou & T Monovasilis (eds), International Conference on Numerical Analysis and Applied Mathematics ICNAAM 2020., 420035, AIP Conference Proceedings, vol. 2425, AIP Publishing, International Conference on Numerical Analysis and Applied Mathematics 2020, ICNAAM 2020, Rhodes, Greece, 17/09/20. https://doi.org/10.1063/5.0081384
Rojas-Cisneros, M, Orihuela-Espina, F & Montero-Hernández, SA 2021, Analysis in the broader, medium, and narrow autism phenotypes using fNIRS. in Optics and the Brain, BRAIN 2021., BW4B.4, Optics and the Brain, OSA - The Optical Society, Optics and the Brain, BRAIN 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021, Virtual, Online, United States, 12/04/21.
Arrieta, FDÁ, Rojas Cisneros, M, Rivas, JJ, Castrejón, LR, Sucar, LE, Pérez-Andreu, J & Orihuela-Espina, F 2021, Characterization of a Raspberry Pi as the core for a low-cost multimodal EEG-fNIRS platform. in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021). Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society., IEEE, pp. 1288-1291, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1/11/21. https://doi.org/10.1109/EMBC46164.2021.9629672
Rivas, JJ, Orihuela-Espina, F, Sucar, LE & Bianchi-Berthouze, N 2021, Dealing with a missing sensor in a multilabel and multimodal automatic affective states recognition system. in 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)., 9597463, International Conference on Affective Computing and Intelligent Interaction and workshops, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-8, 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021, Nara, Japan, 28/09/21. https://doi.org/10.1109/ACII52823.2021.9597463
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