Artículos
- López Lobato A.L. and Avendaño Garrido M.L. (2023) Convergence of parameter estimation of a Gaussian mixture model minimizing the Gini index of dissimilarity. Communications in Statistics-Theory and Methods, DOI: 10.1080/03610926.2023.2239396
- Zavaleta-Viveros J.A.,Toledo P, Avendaño-Garrido M.L, Escalante-Martínez J.E., López-Meraz M.L and Ramos-Riera K.P (2023) A modification to the Kuramoto model to simulate epileptic seizures as synchronization. Journal of Mathematical Biology, vol. 87 (1).
- Hernández-Eslava V., León A., Guzmán I., Díaz F., Avendaño Garrido M.L., Toledo P., Hernández Linares C.A., and Luna I. (2023) An ecological approach to the effects of water-source locations and time-based schedules on entropy and spatio-temporal behavioral features. International Journal of Comparative Psychology, vol. 36(1).
- López-Lobato A.L., Avendaño-Garrido M.L., Acosta-Mesa H.G., Sampieri C.L. and Sandoval-Lozano V.H. (2022) Quantification of the presence of enzymes in gelatin zymography using the Gini index. Journal of Bioinformatics and Computational Biology, vol. 20 (6). DOI: 10.1142/S0219720022500251
- León A., Hernandez V., Lopez J., Guzman I., Quintero V., Toledo P., Avendaño-Garrido M.L., Hernandez-Linares C.A. and Escamilla E. (2021) Beyond Single Discrete Responses: An Integrative and Multidimensional Analysis of Behavioral Dynamics Assisted by Machine Learning. Frontiers in Behavioral Neurosciences, vol 15. DOI:10.3389/fnbeh.2021.6817.71
- López-Lobato A.L. and Avendaño-Garrido M.L. (2021) Fitting a Gaussian mixture model through the Gini index. International Journal of Applied Mathematics and Computer Science, vol. 31 (3). DOI: 10.34768/amcs-2021-0033
- León A., Hernández V., Huerta U., Hernández-Linares C. A., Toledo P., Avendaño-Garrido M. L., Escamilla-Navarro E. and Guzmán I. (2020) Ecological Location of a Water Source and Spatial Dynamics of Behavior Under Temporally Scheduled Water Deliveries in a Modified Open-Field System: An Integrative Approach, Frontiers in Psychology, vol. 11. DOI:10.3389/fpsyg.2020.577903
- León A., Tamayo-Tamayo J., Hernández-Eslava V., Toledo-Hernández P, Avendaño Garrido M.L, Hernández-Linares C.A y Escamilla-Navarro E. (2020) MOTUS: software para el análisis conductual de patrones de desplazamiento. Revista Mexicana de Análisis de la Conduncta, vol. 46 (1). DOI:10.5514/rmac.v46.i1.76960
- Roldán-Ahumada J.A. and Avendaño Garrido M.L. (2019) A commentary on diversity measures uniFrac in very small sample size. Evolutionary Bioinformatics. DOI:10.1177/1176934319843515
- Báez-Hernández M.G, Avendaño-Garrido M.L. y Gabriel-Argüelles J.R. (2018) Implementación de un esquema de aproximación para el problema de transferencia de masas. Ciencias Matemáticas.
- Avendaño-Garrido M.L., Gabriel-Argüelles J.R., Torres-Quintana L. and González-Hernández J. (2018) An approximation scheme for the Kantorovich-Rubinstein problem on compact spaces. Journal of Numerical Mathematics. vol. 26 (2). DOI 10.1515/jnma-2017-0008
- Avendaño-Garrido M.L. and Gabriel-Argüelles J.R. (2017) A Numerical Approximation to the Kantorovich’s Metric . International Journal of Numerical Methods and Applications. vol. 16 (2), p. 107-125. DOI:10.17654/NM016020107
- Avendaño-Garrido M.L., Gabriel-Argüelles J.R., Quintana-Torres L. and Mezura-Montes E. (2016). A metaheuristic for a numerical approximation to the Mass Transfer problem. International Journal of Applied Mathematics and Computer Science. vol. 26 (4). DOI:10.1515/amcs-2016-0053
- Avendaño, M.L., Pardo, M.C. (2016) A semiparametric generalized proportional hazards model for right-censored data. Ann Inst Stat Math. vol. 68, p. 353–384. DOI10.1007/s10463-014-0496-3
Capítulos de Libros
- Vargas-Moreno, I., Acosta-Mesa, H.G., Rodríguez-Landa, J.F., Avendaño-Garido, M.L., Herrera-Meza, S. (2024). Computational Learning in Behavioral Neuropharmacology. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H., Zatarain Cabada, R., Montes Rivera, M., Mezura-Montes, E. (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, vol 14502. Springer, Cham. https://doi.org/10.1007/978-3-031-51940-6_32
- Vargas-Moreno I., Avendaño-Garrido M.L. Acosta-Mesa H.G., Fernández-Demeneghi R., Rodríguez-Landa J.F. and Herrera-Meza S. (2021) Application of Supervised Machine Learning Models for the Identification of the Anxiolytic-like Effect Produced by Progesterone in Wistar Rats, ROPEC 2021, DOI: 10.1109/ROPEC53248.2021.9668018.
- Carmona-Arroyo G., Rios-Figueroa H.V., Avendaño-Garrido M.L. (2021) Mexican Sign-Language Static-Alphabet Recognition Using 3D Affine Invariants. In Muthukumaran Malarvel, Soumya Ranjan Nayak, Prasant Kumar Pattnaik, Surya Narayan Panda(eds) Machine Vision Inspection Systems, Volume 2: Machine Learning‐Based Approaches, Wilwy, DOI:10.1002/9781119786122
- Zavaleta-Viveros J.A., Toledo P., Avendaño-Garrido M.L., Escalante-Martínez J.E. (2020) A Proposal of an Empirical Methodology to Approximate an Electroencephalographic Signal with Appropriate Representatives of the Fourier Transformation. In: Martínez-Villaseñor L., Herrera-Alcántara O., Ponce H., Castro-Espinoza F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science, vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_28
- López-Lobato A.L., Avendaño-Garrido M.L. (2020) Using the Gini Index for a Gaussian Mixture Model. In: Martínez-Villaseñor L., Herrera-Alcántara O., Ponce H., Castro-Espinoza F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science, vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_35
- Gabriel-Argüelles J.R., Avendaño-Garrido M.L., Montero L.A., González-Hernández J. (2019) Strong Duality of the Kantorovich-Rubinstein Mass Transshipment Problem in Metric Spaces. In: Nicosia G., Pardalos P., Giuffrida G., Umeton R., Sciacca V. (eds) Machine Learning, Optimization, and Data Science. LOD 2018. Lecture Notes in Computer Science, vol 11331. Springer, Cham. DOI:10.1007/978-3-030-13709-0_24
- Avendaño-Garrido M.L. y Gabriel-Argüelles J.R. (2016). Una aplicación del problema de transferencia de masas de Monge-Kantorovich en gestión de residuos. En: Avendaño-Garrido M.L., Benitez-Mariño E. y Toledo-Hernández P. (eds) Modelación, simulación y cómputo matemático, Universidad Veracruzana.
- Avendaño-Garrido M.L., Gabriel-Argüelles J.R., Quintana-Torres L., Mezura-Montes E. (2015) An Efficient Numerical Approximation for the Monge-Kantorovich Mass Transfer Problem. In: Pardalos P., Pavone M., Farinella G., Cutello V. (eds) Machine Learning, Optimization, and Big Data. MOD 2015. Lecture Notes in Computer Science, vol 9432. Springer, Cham. DOI:10.1007/978-3-319-27926-8_20
- Balakrishnan N., Pardo M.C., Avendaño M.L. (2013) Generalized Logit-Based Proportional Hazards Models and Their Applications in Survival and Reliability Analyses. In: Dohi T., Nakagawa T. (eds) Stochastic Reliability and Maintenance Modeling. Springer Series in Reliability Engineering, vol 9. Springer, London. DOI: 10.1007/978-1-4471-4971-2_1
Libros
- Avendaño-Garrido M.L., Benitez-Mariño E. y Toledo-Hernández P. (eds) Modelación, simulación y cómputo matemático, Universidad Veracruzana, 2016.