PublicacionesPublications

Para una lista completa, por favor consulte mi perfil en Google Scholar o ResearchGate.For a complete list, please see my Google Scholar or ResearchGate profile.

  • Martínez-López, Yoan, Phoobane, Paulina, Jauriga, Yanaima, Castillo-Garit, Juan A., Rodríguez-Gonzalez, Ansel Y., Martínez-Santiago, Oscar, Barigye, Stephen J., Madera, Julio, Rodríguez-Maya, Noel & Enrique and Duchowicz, Pablo (2024). Exploring blood–brain barrier passage using atomic weighted vector and machine learning. Journal of Molecular Modeling, 30(11). https://doi.org/10.1007/s00894-024-06188-5. (Scopus)Martínez-López, Yoan, Phoobane, Paulina, Jauriga, Yanaima, Castillo-Garit, Juan A., Rodríguez-Gonzalez, Ansel Y., Martínez-Santiago, Oscar, Barigye, Stephen J., Madera, Julio, Rodríguez-Maya, Noel & Enrique and Duchowicz, Pablo (2024). Exploring blood–brain barrier passage using atomic weighted vector and machine learning. Journal of Molecular Modeling, 30(11). https://doi.org/10.1007/s00894-024-06188-5. (Scopus)
  • Alfredo Javier Simón-Cuevas, Orlando Grabiel Toledano López, Julio Madera Quintana, Héctor Raúl González Diez, Alejandro Ariel Ramón Hernández, María Matilde García Lorenzo, Jesús Serrano Guerrero, José Ángel Olivas Varela, Leticia Arco García, José Manuel Perea Ortega, Francisco P. Romero, Oscar Miguel González Parets, Patricia Montañez Castelo (2024). Contribuciones al análisis de sentimientos en opiniones de usuario aplicando técnicas y algoritmos de inteligencia artificial. Anales de la Academia de Ciencias de Cuba, 14(3), 1674. (Scopus)Alfredo Javier Simón-Cuevas, Orlando Grabiel Toledano López, Julio Madera Quintana, Héctor Raúl González Diez, Alejandro Ariel Ramón Hernández, María Matilde García Lorenzo, Jesús Serrano Guerrero, José Ángel Olivas Varela, Leticia Arco García, José Manuel Perea Ortega, Francisco P. Romero, Oscar Miguel González Parets, Patricia Montañez Castelo (2024). Contributions to sentiment analysis in user opinions applying artificial intelligence techniques and algorithms. Anales de la Academia de Ciencias de Cuba, 14(3), 1674. (Scopus)
  • Hernández-González, A., Madera-Quintana, J., & Simón-Cuevas, A. (2024). Uc-cujae at homo-mex 2024: Detecting hate speech against the lgtb+ community using transformers on imbalanced datasets. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024), co-located with the 40th Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), CEUR-WS.org. (Scopus)Hernández-González, A., Madera-Quintana, J., & Simón-Cuevas, A. (2024). Uc-cujae at homo-mex 2024: Detecting hate speech against the lgtb+ community using transformers on imbalanced datasets. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024), co-located with the 40th Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), CEUR-WS.org. (Scopus)
  • Piñero Pérez, P.Y., Pupo, I.P., Mahdi, S.S., Quintana, J.M., Acuña, L.A. (2024). Combining EDA and Simulated Annealing Strategies in Project Scheduling Construction. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_6.Piñero Pérez, P.Y., Pupo, I.P., Mahdi, S.S., Quintana, J.M., Acuña, L.A. (2024). Combining EDA and Simulated Annealing Strategies in Project Scheduling Construction. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_6.
  • Piñero Pérez, P.Y., Pupo, I.P., Mahdi, G.S.S., Quintana, J.M., Acuña, L.A. (2024). Project Scheduling a Critical Review of Both Traditional and Metaheuristic Techniques. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_3.Piñero Pérez, P.Y., Pupo, I.P., Mahdi, G.S.S., Quintana, J.M., Acuña, L.A. (2024). Project Scheduling a Critical Review of Both Traditional and Metaheuristic Techniques. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_3.
  • Leguen-de-Varona, I., Madera, J., Gonzalez, H., Tubex, L., Verdonck, T. (2024). Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2023. Lecture Notes in Computer Science, vol 14335. Springer, Cham. https://doi.org/10.1007/978-3-031-49552-6_2.Leguen-de-Varona, I., Madera, J., Gonzalez, H., Tubex, L., Verdonck, T. (2024). Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2023. Lecture Notes in Computer Science, vol 14335. Springer, Cham. https://doi.org/10.1007/978-3-031-49552-6_2.
  • Toledano-López, O.G., Álvarez-Carmona, M.Á., Madera, J., Simón-Cuevas, A., López-Rodríguez, Y.A., González Diéz, H. (2024). Polarity Prediction in Tourism Cuban Reviews Using Transformer with Estimation of Distribution Algorithms. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2023. Lecture Notes in Computer Science, vol 14335. Springer, Cham. https://doi.org/10.1007/978-3-031-49552-6_29.Toledano-López, O.G., Álvarez-Carmona, M.Á., Madera, J., Simón-Cuevas, A., López-Rodríguez, Y.A., González Diéz, H. (2024). Polarity Prediction in Tourism Cuban Reviews Using Transformer with Estimation of Distribution Algorithms. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2023. Lecture Notes in Computer Science, vol 14335. Springer, Cham. https://doi.org/10.1007/978-3-031-49552-6_29.
  • Martinez-Lopez, Y., Bethencourt-Mayedo, M., Madera-Quintana, J. & Sutherland, J. (2023). Algoritmos evolutivos aplicados a la gestión de las unidades generadoras de la microred eléctrica de Cayo Coco. Revista Cubana De Transformación Digital, 4(4), e232:1–13. Recuperado a partir de https://rctd.uic.cu/rctd/article/view/232.Martinez-Lopez, Y., Bethencourt-Mayedo, M., Madera-Quintana, J. & Sutherland, J. (2023). Evolutionary algorithms applied to the management of the generating units of the Cayo Coco electric microgrid. Revista Cubana De Transformación Digital, 4(4), e232:1–13. Retrieved from https://rctd.uic.cu/rctd/article/view/232.
  • Martínez-López, Y.; Castillo-Garit, J.; Casanola-Martin, G.; Barigye, S.; Martínez-Santiago, O.; Madera Quintana, J.; Rodríguez González, A.; Sutherland, J. Predicting Antimalarial Activity Using Atomic Weight Vectors and Machine Learning, in Proceedings of the MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25–31 December 2023, MDPI: Basel, Switzerland.Martínez-López, Y.; Castillo-Garit, J.; Casanola-Martin, G.; Barigye, S.; Martínez-Santiago, O.; Madera Quintana, J.; Rodríguez González, A.; Sutherland, J. Predicting Antimalarial Activity Using Atomic Weight Vectors and Machine Learning, in Proceedings of the MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25–31 December 2023, MDPI: Basel, Switzerland.
  • Madera-Quintana, J., Hernández-Gónzalez, A., & Martínez-López, Y. (2023). Thematic Unsupervised Classification of Tourist Texts using Latent Semantic Analysis and K-Means. Proceedings http://ceur-ws. org ISSN, 1613, 0073.Madera-Quintana, J., Hernández-Gónzalez, A., & Martínez-López, Y. (2023). Thematic Unsupervised Classification of Tourist Texts using Latent Semantic Analysis and K-Means. Proceedings http://ceur-ws. org ISSN, 1613, 0073.
  • Ansel Y. Rodríguez-González, Ángel Díaz-Pacheco, Ramón Aranda, Miguel A. Álvarez-Carmona, Yoan Martínez-López & Julio Madera-Quintana. Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '23). Association for Computing Machinery, New York, NY, USA, 1–2. GECCO ’23 Companion, July 15–19, 2023, Lisbon, Portugal. ACM ISBN: 979-8-4007-0120-7/23/07. https://doi.org/10.1145/3583133.3596422. 2023.Ansel Y. Rodríguez-González, Ángel Díaz-Pacheco, Ramón Aranda, Miguel A. Álvarez-Carmona, Yoan Martínez-López & Julio Madera-Quintana. Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '23). Association for Computing Machinery, New York, NY, USA, 1–2. GECCO ’23 Companion, July 15–19, 2023, Lisbon, Portugal. ACM ISBN: 979-8-4007-0120-7/23/07. https://doi.org/10.1145/3583133.3596422. 2023.
  • Ansel Y. Rodríguez-González, Ángel Ramón Aranda, Miguel A. Álvarez Carmona, Ángel Díaz Pacheco, Yoan Martínez López y Julio Madera Quintana. Algoritmos celulares basados en estimación de las distribuciones, una herramienta para manejar los recursos energéticos. Komputer Sapiens, 3, septiembre-diciembre 2022. http://komputersapiens.smia.mx/publicaciones.php#KSXIV-III. 2022.Ansel Y. Rodríguez-González, Ángel Ramón Aranda, Miguel A. Álvarez Carmona, Ángel Díaz Pacheco, Yoan Martínez López y Julio Madera Quintana. Cellular algorithms based on distribution estimation, a tool to manage energy resources. Komputer Sapiens, 3, September-December 2022. http://komputersapiens.smia.mx/publicaciones.php#KSXIV-III. 2022.
  • Toledano-López, O. G., Madera, J., González, H., Simón-Cuevas, A., Demeester, T., & Mannens, E. (2022). Finetuning mt5-based transformer via CMA-ES for sentiment analysis. In Proceedings of the Third Workshop for Iberian Languages Evaluation Forum (IberLEF 2022), CEUR WS Proceedings. https://ceur-ws.org/Vol-3202/restmex-paper12.pdf. 2022.Toledano-López, O. G., Madera, J., González, H., Simón-Cuevas, A., Demeester, T., & Mannens, E. (2022). Finetuning mt5-based transformer via CMA-ES for sentiment analysis. In Proceedings of the Third Workshop for Iberian Languages Evaluation Forum (IberLEF 2022), CEUR WS Proceedings. https://ceur-ws.org/Vol-3202/restmex-paper12.pdf. 2022.
  • Martínez López, Y., Guevara Yanes, L., & Madera Quintana, J. Aplicación de metaheurísticas en el ordenamiento del transporte urbano en Camagüey. Revista Cubana De Transformación Digital, 3(2), e171. Recuperado a partir de https://rctd.uic.cu/rctd/article/view/171. 2022.Martínez López, Y., Guevara Yanes, L., & Madera Quintana, J. Application of metaheuristics in the organization of urban transport in Camagüey. Revista Cubana De Transformación Digital, 3(2), e171. Retrieved from https://rctd.uic.cu/rctd/article/view/171. 2022.
  • Sedeño Bueno, E. A., & Madera Quintana, J. Aprendizaje automático como herramienta para el manejo integrado de recursos naturales en un contexto de cambio climático. Revista Cubana De Transformación Digital, 3(2), e170. Recuperado a partir de https://rctd.uic.cu/rctd/article/view/170. 2022.Sedeño Bueno, E. A., & Madera Quintana, J. Machine learning as a tool for the integrated management of natural resources in a context of climate change. Revista Cubana De Transformación Digital, 3(2), e170. Retrieved from https://rctd.uic.cu/rctd/article/view/170. 2022.
  • Ansel Y. Rodríguez-González, Ramón Aranda, Miguel Á. Álvarez-Carmona, Yoan Martínez-López, and Julio Madera-Quintana. Applying ring cellular encode-decode UMDA to risk-based energy scheduling. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22). Association for Computing Machinery, New York, NY, USA, 1–2. https://doi.org/10.1145/3520304.3534055. 2022.Ansel Y. Rodríguez-González, Ramón Aranda, Miguel Á. Álvarez-Carmona, Yoan Martínez-López, and Julio Madera-Quintana. Applying ring cellular encode-decode UMDA to risk-based energy scheduling. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22). Association for Computing Machinery, New York, NY, USA, 1–2. https://doi.org/10.1145/3520304.3534055. 2022.
  • Rodríguez-González, A. Y., Lezama, F., Martínez-López, Y., Madera, J., Soares, J., & Vale, Z. WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Applied Soft Computing, 109162. https://doi.org/10.1016/j.asoc.2022.109162. 2022.Rodríguez-González, A. Y., Lezama, F., Martínez-López, Y., Madera, J., Soares, J., & Vale, Z. WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Applied Soft Computing, 109162. https://doi.org/10.1016/j.asoc.2022.109162. 2022.
  • Toledano-López, O. G., Madera, J., Diez, H. R. G., & Cuevas, A. S. (2022). A hybrid method based on Estimation of Distribution Algorithms to train Convolutional Neural Networks for text categorization. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2022.06.008. 2022.Toledano-López, O. G., Madera, J., Diez, H. R. G., & Cuevas, A. S. (2022). A hybrid method based on Estimation of Distribution Algorithms to train Convolutional Neural Networks for text categorization. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2022.06.008. 2022.
  • Mahdi, G.S.S., Piñero Pérez, P.Y., Madera Quintana, J., Al-subhi, S.H., García Vacacela, R. Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Scheduling Problem. In: Piñero Pérez, P.Y., Bello Pérez, R.E., Kacprzyk, J. (eds) Artificial Intelligence in Project Management and Making Decisions. UCIENCIA 2021. Studies in Computational Intelligence, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-97269-1_7. 2022.Mahdi, G.S.S., Piñero Pérez, P.Y., Madera Quintana, J., Al-subhi, S.H., García Vacacela, R. Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Scheduling Problem. In: Piñero Pérez, P.Y., Bello Pérez, R.E., Kacprzyk, J. (eds) Artificial Intelligence in Project Management and Making Decisions. UCIENCIA 2021. Studies in Computational Intelligence, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-97269-1_7. 2022.
  • Orlando Grabiel Toledano-López, Julio Madera, Héctor González and Alfredo Simón Cuevas. Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2021. Lecture Notes in Computer Science, vol 13055. Springer, Cham. https://doi.org/10.1007/978-3-030-89691-1_8. 2021.Orlando Grabiel Toledano-López, Julio Madera, Héctor González and Alfredo Simón Cuevas. Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2021. Lecture Notes in Computer Science, vol 13055. Springer, Cham. https://doi.org/10.1007/978-3-030-89691-1_8. 2021.
  • Ansel Y. Rodríguez-González, Samantha Barajas, Ramón Aranda, Yoan Martínez-López, and Julio Madera-Quintana. Ring cellular encode-decode UMDA: simple is effective. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, New York, NY, USA, 1–2. DOI: https://doi.org/10.1145/3449726.3463278. 2021.Ansel Y. Rodríguez-González, Samantha Barajas, Ramón Aranda, Yoan Martínez-López, and Julio Madera-Quintana. Ring cellular encode-decode UMDA: simple is effective. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, New York, NY, USA, 1–2. DOI: https://doi.org/10.1145/3449726.3463278. 2021.
  • Martínez-López, Y., Rodríguez-González, A. Y., Madera, J., Mayedo, M. B., & Lezama, F. Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty. Engineering Applications of Artificial Intelligence, 101, 104231. 2021.Martínez-López, Y., Rodríguez-González, A. Y., Madera, J., Mayedo, M. B., & Lezama, F. Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty. Engineering Applications of Artificial Intelligence, 101, 104231. 2021.
  • Rafael Bello, María Matilde García Lorenzo, Alejandro Ramón-Hernández, Beatriz Bello-Garcia, Marilyn Bello-Garcia, Yaile Caballero, Julio Madera-Quintana, Yanela Rodríguez, Yaima Filiberto, Yoan Martínez, Alfredo Simón Cuevas, Eduardo Sánchez-Ansola, Ana Camila Pérez-Pérez, Alejandro Rosete Suárez. Una mirada a la inteligencia artificial frente a la COVID-19 en Cuba. Revista Cubana de Transformación Digital, Vol. 1, Nro. 3. 2020.Rafael Bello, María Matilde García Lorenzo, Alejandro Ramón-Hernández, Beatriz Bello-Garcia, Marilyn Bello-Garcia, Yaile Caballero, Julio Madera-Quintana, Yanela Rodríguez, Yaima Filiberto, Yoan Martínez, Alfredo Simón Cuevas, Eduardo Sánchez-Ansola, Ana Camila Pérez-Pérez, Alejandro Rosete Suárez. A look at artificial intelligence against COVID-19 in Cuba. Revista Cubana de Transformación Digital, Vol. 1, Nro. 3. 2020.
  • Julio Madera Quintana, Yoan Martínez López, José Fernández Pardo. Algoritmo de Estimación de Distribución basado en el Aprendizaje de Redes Bayesianas con Pruebas de Independencias para Problemas de Optimización en Enteros. Revista Cubana de Ciencias Informáticas, Vol. 14, Nro. 4, pp. 1-19, ISSN: 2227-1899. 2020.Julio Madera Quintana, Yoan Martínez López, José Fernández Pardo. Distribution Estimation Algorithm based on Bayesian Network Learning with Independence Tests for Integer Optimization Problems. Revista Cubana de Ciencias Informáticas, Vol. 14, Nro. 4, pp. 1-19, ISSN: 2227-1899. 2020.
  • Yoan Martínez-López, Julio Madera, Gaafar Sadeq S. Mahdi, Ansel Y. Rodríguez-González. Cellular estimation bayesian algorithm for discrete optimization problems. Revista Investigación Operacional, Vol. 41, Nro. 7, pp. 1010-1018. 2020.Yoan Martínez-López, Julio Madera, Gaafar Sadeq S. Mahdi, Ansel Y. Rodríguez-González. Cellular estimation bayesian algorithm for discrete optimization problems. Revista Investigación Operacional, Vol. 41, Nro. 7, pp. 1010-1018. 2020.
  • Mayte Guerra, Julio Madera. WIFROWAN: Wrapped Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. Computación y Sistemas, vol 24, No. 3. 2020.Mayte Guerra, Julio Madera. WIFROWAN: Wrapped Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. Computación y Sistemas, vol 24, No. 3. 2020.
  • Ireimis Leguen de Varona, Julio Madera, Yoan Martínez-López, José Carlos Hernández-Nieto. SMOTE-Cov: A New Oversampling Method Based on the Covariance Matrix. In book: Data Analysis and Optimization for Engineering and Computing Problems, EAI/Springer Innovations in Communication and Computing. Springer Nature Switzerland AG 2020. https://doi.org/10.1007/978-3-030-48149-0_15.Ireimis Leguen de Varona, Julio Madera, Yoan Martínez-López, José Carlos Hernández-Nieto. SMOTE-Cov: A New Oversampling Method Based on the Covariance Matrix. In book: Data Analysis and Optimization for Engineering and Computing Problems, EAI/Springer Innovations in Communication and Computing. Springer Nature Switzerland AG 2020. https://doi.org/10.1007/978-3-030-48149-0_15.
  • Martínez-López, Y., Rodríguez-González, A. Y., Quintana, J. M., Mayedo, M. B., Moya, A., & Santiago, O. M. (2020, July). Applying some EDAs and hybrid variants to the ERM problem under uncertainty. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 1-2).Martínez-López, Y., Rodríguez-González, A. Y., Quintana, J. M., Mayedo, M. B., Moya, A., & Santiago, O. M. (2020, July). Applying some EDAs and hybrid variants to the ERM problem under uncertainty. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 1-2).
  • Luis B. Ramos Sánchez, Héctor Sánchez Vargas, Pablo Ángel Galindo Llanes, Hilda Oquendo Ferrer, María C. Julián Ricardo, Julio Madera Quintana, Yailé Caballero Mota, Santiago Lajes Choy. Predicción temprana de la COVID-19 en Cuba con el modelo SEIR. Anales de la Academia de Ciencias de Cuba, vol. 10, nro. 2. 2020.Luis B. Ramos Sánchez, Héctor Sánchez Vargas, Pablo Ángel Galindo Llanes, Hilda Oquendo Ferrer, María C. Julián Ricardo, Julio Madera Quintana, Yailé Caballero Mota, Santiago Lajes Choy. Early prediction of COVID-19 in Cuba with the SEIR model. Anales de la Academia de Ciencias de Cuba, vol. 10, nro. 2. 2020.
  • Gaafar Sadeq S. Mahdi, Pedro Piñero Pérez, Roberto García Vacacela, Julio Madera Quintana, Salah Hassan Al-subhi, Iliana Pérez Pupo. Nuevo algoritmo de estimación de distribuciones con diferentes métodos de aprendizaje aplicado a planificación de proyectos. Revista Investigación Operacional, Vol. 41, Nro. 6, pp. 945-960. 2020.Gaafar Sadeq S. Mahdi, Pedro Piñero Pérez, Roberto García Vacacela, Julio Madera Quintana, Salah Hassan Al-subhi, Iliana Pérez Pupo. New distribution estimation algorithm with different learning methods applied to project planning. Revista Investigación Operacional, Vol. 41, Nro. 6, pp. 945-960. 2020.
  • Gaafar Sadeq S. Mahdi, Julio Madera Quintana, Pedro Piñero Pérez, Salah Hassan Al-subhi. Estimation of Distribution Algorithm for solving the Multi-mode Resource Constrained Project Scheduling Problem. EAI Endorsed Transactions on Energy Web, vol. 7, Nro. 27. 2020. Doi: http://dx.doi.org/10.4108/eai.13-7-2018.164111Gaafar Sadeq S. Mahdi, Julio Madera Quintana, Pedro Piñero Pérez, Salah Hassan Al-subhi. Estimation of Distribution Algorithm for solving the Multi-mode Resource Constrained Project Scheduling Problem. EAI Endorsed Transactions on Energy Web, vol. 7, Nro. 27. 2020. Doi: http://dx.doi.org/10.4108/eai.13-7-2018.164111
  • Ireimis Leguen-deVarona, Julio Madera, Yoan Martínez-López, José Carlos Hernández-Nieto. Over-sampling imbalanced datasets using the Covariance Matrix. EAI Endorsed Transactions on Energy Web, vol. 7, Nro. 27. 2020. Doi: http://dx.doi.org/10.4108/eai.13-7-2018.163982.Ireimis Leguen-deVarona, Julio Madera, Yoan Martínez-López, José Carlos Hernández-Nieto. Over-sampling imbalanced datasets using the Covariance Matrix. EAI Endorsed Transactions on Energy Web, vol. 7, Nro. 27. 2020. Doi: http://dx.doi.org/10.4108/eai.13-7-2018.163982.
  • Mahdi, G. S. S.; S. H. Al-subhi; R. García-Vacacela; I. Pérez-Pupo; J. Madera-Quintana; P. Piñero-Pérez. Algoritmo de estimación de distribución con tratamiento de restricciones en el modelo probabilístico en problemas de scheduling. Revista Investigación Operacional, vol. 40, Nro. 5, pp. 674 – 686. 2019.Mahdi, G. S. S.; S. H. Al-subhi; R. García-Vacacela; I. Pérez-Pupo; J. Madera-Quintana; P. Piñero-Pérez. Distribution estimation algorithm with constraint handling in the probabilistic model in scheduling problems. Revista Investigación Operacional, vol. 40, Nro. 5, pp. 674 – 686. 2019.
  • Y. Martínez-López, A. Rodríguez-González, J. Madera, A. Moya, B. Morgado, and M. Mayedo. CUMDANCauchy-C1: a cellular EDA designed to solve the energy resource management problem under uncertainty. GECCO. 2019.Y. Martínez-López, A. Rodríguez-González, J. Madera, A. Moya, B. Morgado, and M. Mayedo. CUMDANCauchy-C1: a cellular EDA designed to solve the energy resource management problem under uncertainty. GECCO. 2019.
  • Y. Martínez-López, J. Madera, A. Rodríguez-González, S. Barigye. Cellular Estimation Gaussian Algorithm for Continuous Domain. Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4957-4967, 2019.Y. Martínez-López, J. Madera, A. Rodríguez-González, S. Barigye. Cellular Estimation Gaussian Algorithm for Continuous Domain. Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4957-4967, 2019.
  • E. Ramentol, J. Madera, A. Rodríguez, Early detection of possible undergraduate drop out using a new method based on probabilistic rough set theory, in: Rafael Bello, Rafael Falcon and Jose Luis Verdegay (Eds.), Uncertainty Management with Fuzzy and Rough Sets: Recent Advances and Applications, Springer, 2019.E. Ramentol, J. Madera, A. Rodríguez, Early detection of possible undergraduate drop out using a new method based on probabilistic rough set theory, in: Rafael Bello, Rafael Falcon and Jose Luis Verdegay (Eds.), Uncertainty Management with Fuzzy and Rough Sets: Recent Advances and Applications, Springer, 2019.
  • Leguén-de-Varona, I., López, Y. M., & Madera, J. Una revisión de la tecnología “BigData” para grandes volúmenes de datos. Ciencias de la Información, 49(2), 37-47. 2018.Leguén-de-Varona, I., López, Y. M., & Madera, J. A review of “BigData” technology for large volumes of data. Ciencias de la Información, 49(2), 37-47. 2018.
  • Madera J., Ochoa A. Evaluating the Max-Min Hill-Climbing Estimation of Distribution Algorithm on B-Functions. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2018. Lecture Notes in Computer Science, vol 11047. Springer, Cham.Madera J., Ochoa A. Evaluating the Max-Min Hill-Climbing Estimation of Distribution Algorithm on B-Functions. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2018. Lecture Notes in Computer Science, vol 11047. Springer, Cham.
  • Y. Martínez, J. Madera, A. Rodríguez. An Algorithm of Estimation of Cellular Distribution for Continuous Optimization Problems. 12th International Workshop on Operations Research (IWOR). March 2017, Havana, Cuba. 2017.Y. Martínez, J. Madera, A. Rodríguez. An Algorithm of Estimation of Cellular Distribution for Continuous Optimization Problems. 12th International Workshop on Operations Research (IWOR). March 2017, Havana, Cuba. 2017.
  • Y. Martínez-López, J. Madera, I. Leguen. Aprendizaje de los algoritmos evolutivos con estimación de distribución celulares a partir de la estructura y los parámetros de poblaciones. RECPAT 2016. Cuba.Y. Martínez-López, J. Madera, I. Leguen. Learning of evolutionary algorithms with cellular distribution estimation from the structure and parameters of populations. RECPAT 2016. Cuba.
  • Y. Martínez-López, J. Madera, I. Leguen. Algoritmos Evolutivos con Estimación de Distribución Celulares. UCIENCIA 2016. ISBN: 978-959-286. Cuba.Y. Martínez-López, J. Madera, I. Leguen. Evolutionary Algorithms with Cellular Distribution Estimation. UCIENCIA 2016. ISBN: 978-959-286. Cuba.
  • Y. Martínez-López, J. Madera, I. Leguen. Algoritmos Evolutivos con Estimación de Distribución Celulares. Revista Cubana de Ciencias Informáticas Vol. 10, No. Especial UCIENCIA, noviembre, 2016. ISSN: 2227-1899 | RNPS: 2301. Cuba.Y. Martínez-López, J. Madera, I. Leguen. Evolutionary Algorithms with Cellular Distribution Estimation. Revista Cubana de Ciencias Informáticas Vol. 10, No. Especial UCIENCIA, November, 2016. ISSN: 2227-1899 | RNPS: 2301. Cuba.
  • L. Cabrera, J. Madera, C. García-Jacas, Y. Marrero-Ponce. Metodología multi-modal en relaciones cuantitativas estructura-actividad. Revista Cubana de Informática Médica, Vol. 8, Nro. 2, Año 16, ISSN: 1684-185. 2016.L. Cabrera, J. Madera, C. García-Jacas, Y. Marrero-Ponce. Multi-modal methodology in quantitative structure-activity relationships. Revista Cubana de Informática Médica, Vol. 8, Nro. 2, Year 16, ISSN: 1684-185. 2016.
  • A. R. Valls, J. Madera, J. Hernández. Evaluación del nivel de conocimiento de Ensayos Clínicos en Oncología en la provincia Camagüey. Revista Cubana de Farmacia, vol:45 (Suplemento especial No. 2. ISSN: 1561-2988), 2011.A. R. Valls, J. Madera, J. Hernández. Evaluation of the level of knowledge of Clinical Trials in Oncology in the Camagüey province. Revista Cubana de Farmacia, vol:45 (Special Supplement No. 2. ISSN: 1561-2988), 2011.
  • J. Madera, E. Ramentol. Features Subset Selection in Imbalanced Dataset using Estimation of Distribution Algorithms. Cuba-Flanders Workshop on Machine Learning and Knowledge Discovery, 2010J. Madera, E. Ramentol. Features Subset Selection in Imbalanced Dataset using Estimation of Distribution Algorithms. Cuba-Flanders Workshop on Machine Learning and Knowledge Discovery, 2010
  • J. Madera, A. Ochoa. Paralelización de algoritmos evolutivos con estimación de distribuciones Bayesianas basados en pruebas de (in)dependencia. Instituto de Cibernética, Matemática y Física (ICIMAF), 2008J. Madera, A. Ochoa. Parallelization of evolutionary algorithms with Bayesian distribution estimation based on (in)dependence tests. Institute of Cybernetics, Mathematics and Physics (ICIMAF), 2008
  • J. Madera, A. Ochoa. Algoritmos evolutivos con estimación de distribuciones Bayesianas basados en pruebas de (in)dependencia. Instituto de Cibernética, Matemática y Física (ICIMAF), 2008J. Madera, A. Ochoa. Evolutionary algorithms with Bayesian distribution estimation based on (in)dependence tests. Institute of Cybernetics, Mathematics and Physics (ICIMAF), 2008
  • J. Madera, A. Ochoa. Una versión paralela del algoritmo MMHCEDA. Instituto de Cibernética, Matemática y Física (ICIMAF), 2006J. Madera, A. Ochoa. A parallel version of the MMHCEDA algorithm. Institute of Cybernetics, Mathematics and Physics (ICIMAF), 2006
  • J. Madera, A. Ochoa. Un EDA basado en aprendizaje MAX-MIN con escalador de colinas. Instituto de Cibernética, Matemática y Física (ICIMAF), 2006J. Madera, A. Ochoa. An EDA based on MAX-MIN learning with a hill climber. Institute of Cybernetics, Mathematics and Physics (ICIMAF), 2006
  • J. Madera, E. Alba, G. Luque. Performance Evaluation of the Parallel Polytree Approximation Distribution Algorithm on Three Network Technologies, 2006.J. Madera, E. Alba, G. Luque. Performance Evaluation of the Parallel Polytree Approximation Distribution Algorithm on Three Network Technologies, 2006.
  • J. Madera, E. Alba, G. Luque. Performance Evaluation of the Parallel Polytree Approximation Distribution Algorithm on Three Network Technologies. Revista Iberoamericana de Inteligencia Artificial, vol. 11 (35), 2007J. Madera, E. Alba, G. Luque. Performance Evaluation of the Parallel Polytree Approximation Distribution Algorithm on Three Network Technologies. Revista Iberoamericana de Inteligencia Artificial, vol. 11 (35), 2007
  • E. Alba, J. Madera, B. Dorronsoro, A. Ochoa and M. Soto, Theory and practice of cellular UMDA for discrete Optimization, Parallel Problem Solving from Nature, Granada, 2006.E. Alba, J. Madera, B. Dorronsoro, A. Ochoa and M. Soto, Theory and practice of cellular UMDA for discrete Optimization, Parallel Problem Solving from Nature, Granada, 2006.
  • J. Madera, B. Dorronsoro, Estimation of Distribution Algorithms, E. Alba and R. Marti (eds.), in: Metaheuristic Procedures for training Neural Networks, Springer, 2006.J. Madera, B. Dorronsoro, Estimation of Distribution Algorithms, E. Alba and R. Marti (eds.), in: Metaheuristic Procedures for training Neural Networks, Springer, 2006.
  • J. Madera, E. Alba, A. Ochoa, A parallel island model for estimation of distribution algorithms, in: I. I. J.A. Lozano, P. Larrañaga, E. Bengoetxea (Eds.), Towards a new evolutionary computation. Advances on estimation of distribution algorithms, Springer, 2006.J. Madera, E. Alba, A. Ochoa, A parallel island model for estimation of distribution algorithms, in: I. I. J.A. Lozano, P. Larrañaga, E. Bengoetxea (Eds.), Towards a new evolutionary computation. Advances on estimation of distribution algorithms, Springer, 2006.
  • J. Madera, E. Alba, A. Ochoa, Parallel estimation of distribution algorithms, in: E. Alba (Ed.), Parallel Metaheuristics: A New Class of Algorithms, John Wiley & Sons, Inc., 2005.J. Madera, E. Alba, A. Ochoa, Parallel estimation of distribution algorithms, in: E. Alba (Ed.), Parallel Metaheuristics: A New Class of Algorithms, John Wiley & Sons, Inc., 2005.
  • J. Madera. Aplicación de EDALib al entrenamiento de Redes Neuronales. CD-ROM: Producción Científica II. ISBN: 959-16-0195-6. 2003.J. Madera. Application of EDALib to the training of Neural Networks. CD-ROM: Scientific Production II. ISBN: 959-16-0195-6. 2003.
  • J. Madera. EDALib: una biblioteca para el desarrollo de algoritmos que estiman distribuciones. CD-ROM: Producción Científica II. ISBN: 959-16-0195-6. 2003.J. Madera. EDALib: a library for the development of algorithms that estimate distributions. CD-ROM: Scientific Production II. ISBN: 959-16-0195-6. 2003.
  • J. Madera. Automatización del proceso de identificación de microorganismos en los laboratorios de Microbiología. CD-ROM: Producción Científica II. ISBN: 959-16-0195-6. 2003.J. Madera. Automation of the microorganism identification process in Microbiology laboratories. CD-ROM: Scientific Production II. ISBN: 959-16-0195-6. 2003.
  • J. Madera. Implementación distribuida del algoritmo de distribución marginal univariado. CD-ROM: Producción Científica II. ISBN: 959-16-0195-6. 2003.J. Madera. Distributed implementation of the univariate marginal distribution algorithm. CD-ROM: Scientific Production II. ISBN: 959-16-0195-6. 2003.
  • J. Madera. Aplicación de las redes de computadoras en la computación paralela. CD-ROM: Enseñanza de la Ciencia, un Enfoque Actual. ISBN: 959-16-0179-4. 2002.J. Madera. Application of computer networks in parallel computing. CD-ROM: Teaching Science, a Current Approach. ISBN: 959-16-0179-4. 2002.
  • A. Ochoa, M. Soto, R. Santana, J. Madera and N. Jorge. “The Factorized Distribution Algorithm and The Junction Tree”. Proceedings of the Second Symposium on Artificial Intelligence. Adaptative Systems. Pag. 368 – 377.A. Ochoa, M. Soto, R. Santana, J. Madera and N. Jorge. “The Factorized Distribution Algorithm and The Junction Tree”. Proceedings of the Second Symposium on Artificial Intelligence. Adaptative Systems. Pag. 368 – 377.