2023
Journal
Machine
Learning and Image-Processing-Based Method for the Detection of Archaeological
Structures in Areas with Large Amounts of Vegetation Using Satellite Images.
José Alberto Fuentes-Carbajal, Jesús Ariel Carrasco-Ochoa, José Francisco
Martínez-Trinidad and Jorge Arturo Flores-López. Appl. Sci. 2023, 13(11), 6663;
https://doi.org/10.3390/app13116663, 30 May 2023
Special Section: Best Papers of the 14th Mexican Conference on Pattern
Recognition (MCPR) 2022. Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz
Sánchez, Juan Humberto Sossa Azuela, Jesús Ariel Carrasco Ochoa, José Francisco
Martínez-Trinidad, José Arturo Olvera López. Pattern Recognition Letters, 2023,
https://doi.org/10.1016/j.patrec.2023.05.027
Thematic Section: Advances in Pattern Recognition. Osslan Osiris Vergara
Villegas, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, Jesús Ariel
Carrasco Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera López.
Computación y Sistemas, Vol. 27, No. 1, 2023, pp. 209–211.
https://doi.org/10.13053/CyS-27-1-4565
2022
Journal
Encoding hieroglyph segments to represent hieroglyphs following the bag of visual word model for retrieval, Pinilla-Buitrago, L. A., Martínez-Trinidad, J. F. and Carrasco-Ochoa, J. A., Expert Systems with Applications (IF(2021) 8.665, Q1), 116983, https://doi.org/10.1016/j.eswa.2022.116983 ,2022.
An Oversampling Method for Class Imbalance Problems on Large Datasets, Rodríguez-Torres, F., Martínez-Trinidad, J. F., and Carrasco-Ochoa, J. A., Applied Sciences (IF(2021) 2.838, Q2), 12(7), 3424, https://doi.org/10.3390/app12073424, 2022
Algorithm for computing all the shortest reducts based on a new pruning strategy, Yanir González-Díaz, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and Manuel Sabino Lazo-Cortés, Information Sciences (IF(2021) 8.233, Q1), Vol. 585, pp. 113-126, DOI: https://doi.org/10.1016/j.ins.2021.11.037, 2022.
A survey on feature selection methods for mixed data, Artificial Intelligence Review, Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa, José Francisco Martínez‑Trinidad, https://doi.org/10.1007/s10462-021-10072-6, Artificial Intelligence Review (IF(2021) 9.588, Q1), 55(4), pp. 2821-2846, 2022.
Conference Proceedings
Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors, Lazo-Cortés, M. S., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Valev, V., Shamshiri, M. A., & Krzyzak, A. Proceedings of ICPRAM2022 (pp. 188-194). 2022.
2021
Journal
A new oversampling method in the string space, Víctor A. Briones-Segovia, Víctor Jiménez-Villar, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Expert Systems with Applications (IF(2019) 5.452, Q1), Volume 183, 115428, 2021. DOI: https://doi.org/10.1016/j.eswa.2021.115428
Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression, Hernandez-Bautista, Ignacio; Carrasco-Ochoa, Jesus Ariel; Martinez-Trinidad, Jose Francisco; Carbajal-Hernandez, Jose Juan, VISUAL COMPUTER (IF(2019) 1.456, Q3), vol 37(5), pp. 957-972, 2021. DOI: 10.1007/s00371-020-01846-0, 2021
Virtual special issue on novel data-representation and classification techniques. Olvera-Lopez, J. A., Salas, J., Carrasco-Ochoa, J. A., Martinez-Trinidad, J. F., & Sarkar, S., Pattern Recognition Letters (IF(2019) 3.255, Q2), 142, 1-2. DOI: 10.1016/j.patrec.2020.12.002, 2021
Conference Proceedings
Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles. Solorio-Fernández, S., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F. (2021, June). In Mexican Conference on Pattern Recognition, LNCS 12725, pp. 47-56, Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77004-4_5
Experimental Comparison of Oversampling Methods for Mixed Datasets. Rodríguez-Torres, F., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F. (2021, June). In Mexican Conference on Pattern Recognition, LNCS 12725, pp. 78-88, Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77004-4_8
A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct. Rodríguez-Diez, V., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Lazo-Cortés, M. S., & Olvera-López, J. A. (2021, June). In Mexican Conference on Pattern Recognition, LNCS 12725, pp. 57-67, Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77004-4_6
Toledo-Pérez, D. C., Rodríguez-Reséndiz, J., Gómez-Loenzo, R. A., Martínez-Trinidad, J. F., & Carrasco-Ochoa, J. A. (2021, June). Feature selection algorithms to reduce processing time in classification with SVMs. In 2021 XVII International Engineering Congress (CONIIN) (pp. 1-6). IEEE, DOI: https://doi.org/10.1109/CONIIN54356.2021.9634716 , 2021
2020
Journal
Improved Fast Partitional Clustering Algorithm for Text Clustering, Bejos, Sebastián, Feliciano-Avelino, Ivan, Martínez-Trinidad, J. Fco., Carrasco-Ochoa, J. A., Journal of Intelligent & Fuzzy Systems (IF(2019) 1.851, Q3), DOI: 10.3233/JIFS-179879, 2020
K-means Based Method for Overlapping Document Clustering, Beltrán, Beatriz, Vilarińo, Darnes, Fco, José, Martínez-Trinidad, Carrasco-Ochoa, J.A., Pinto, David, Journal of Intelligent & Fuzzy Systems (IF(2019) 1.851, Q3), DOI: 10.3233/JIFS-179878, 2020
A systematic evaluation of filter Unsupervised Feature Selection methods, Solorio-Fernández, S., Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F., Expert Systems with Applications (IF(2019) 5.452, Q1), vol. 162, 113745, DOI: 10.1016/j.eswa.2020.113745, 2020
A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis, Solorio-Fernández, S., José Francisco Martínez-Trinidad, Jesús A. Carrasco Ochoa, Pattern Recognition Letters (IF(2019) 3.255, Q2), vol. 138, pp. 321-328, DOI: 10.1016/j.patrec.2020.07.039, 2020
MinReduct: a new algorithm for computing the shortest reducts, Vladímir Rodríguez-Diez, José Francisco Martínez-Trinidad, Jesús A. Carrasco Ochoa, Manuel S. Lazo Cortés, J. Arturo Olvera López, Pattern Recognition Letters (IF(2019) 3.255, Q2), vol. 138, pp. 177-184, DOI: 10.1016/j.patrec.2020.07.004, 2020
A PSO-based algorithm for mining association rules using a Guided Exploration Strategy, Gretel Bernal Baró, José Francisco Martínez-Trinidad, Rosa María Valdovinos Rosas, Jesús A. Carrasco Ochoa, Ansel Y. Rodríguez González, Manuel S. Lazo Cortés, Pattern Recognition Letters (IF(2019) 3.255, Q2), vol. 138 pp: 8–15, https://doi.org/10.1016/j.patrec.2020.05.006, 2020
An Explainable Artificial Intelligence Model for Clustering Numerical Databases, Loyola-Gonzalez, Octavio; Eduardo Gutierrez-Rodriguez, Andres; Angel Medina-Perez, Miguel; Monroy, R; Martinez-Trinidad, JF; Carrasco-Ochoa, JA; Garcia-Borroto, M, IEEE ACCESS Volume 8, pp: 52370-52384, (IF(2019) 3.745, Q1), DOI: 10.1109/ACCESS.2020.2980581, 2020
A review of unsupervised feature selection method, Solorio-Fernández, S., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F. (2019). Artificial Intelligence Review Volume 53, No. 2, pp: 907-948, (IF(2019) 5.747, Q1), DOI: 10.1007/s10462-019-09682-y, 2020
Mining clique frequent approximate subgraphs from multi-graph collections, Acosta-Mendoza, N., Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F., Gago-Alonso, A., and Medina-Pagola, J. E., APPLIED INTELLIGENCE, (IF(2019) 3.325, Q2), Volume 50, No. 3, pp: 878-892, DOI: 10.1007/s10489-019-01564-8, 2020
Conference Proceedings
Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers. Lazo-Cortés, M. S., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & Almanza-Ortega, N. N. Lecture Notes in Computer Science, Volume 12088, Pattern Recognition, pp. 67-75, 2020
2019
Journal
Gate Detection for Micro Aerial Vehicles using a Single Shot Detector, Cabrera-Ponce, A., Rojas-Perez, L., Carrasco-Ochoa, J., Martinez-Trinidad, J, Martinez-Carranza, J, IEEE LATIN AMERICA TRANSACTIONS, Volumen 17, No. 12, pp: 2045-2052, (IF(2018) 0.804, Q4), DOI: 10.1109/TLA.2019.9011550, 2019
On the relation between the concepts of Irreducible Testor and Minimal Transversal, Alba-Cabrera E., Godoy-Calderon S., Lazo-Cortes M.S., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Vol. 7, pp. 82809-82816, IEEE Access (IF(2018) 4.098, Q1), DOI: 10.1109/ACCESS.2019.2922231, 2019
Cost-sensitive pattern-based classification for class imbalance problems, Loyola-González, O., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & García-Borroto, M., Vol. 7, pp. 60411-60427, IEEE Access (IF(2018) 4.098, Q1), DOI: 10.1109/ACCESS.2019.2913982, 2019
An improved algorithm for partial clustering, Melendez-Melendez, G., Cruz-Paz, D., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F. (2019). Expert Systems with Applications (IF(2018) 4.292, Q1), vol. 121, pp. 282-291., DOI: 10.1016/j.eswa.2018.12.027, 2019
A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors, Loyola-González, O., Medina-Pérez, M. A., Hernández-Tamayo, D., Monroy, R., Carrasco-Ochoa, J. A., & García-Borroto, M. Sensors (IF(2018) 3.031, Q1), 19(2), 414, DOI: 10.3390/s19020414, 2019
Frequent Similar Pattern Mining using Non Boolean Similarity Functions, Ansel Y. Rodríquez González, José F. Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Ruiz Shulcloper and José M. Alvarado, Journal of Intelligent & Fuzzy Systems (IF(2018) 1.637, Q3), Vol 36, No. 5, pp: 4931-4919, DOI: 10.3233/JIFS-179040, 2019
Deterministic Oversampling Methods based on SMOTE, Fredy Rodriguez-Torres, Jesus A. Carrasco-Ochoa and Jose Fco. Martinez-Trinidad, Journal of Intelligent & Fuzzy Systems (IF(2018) 1.637, Q3), Vol 36, No. 5, pp: 4945-4955, DOI: 10.3233/JIFS-179041, 2019
Bag of k-Nearest Visual Words for Hieroglyph Retrieval, Laura Alejandra Pinilla Buitrago, Jesús Ariel Carrasco-Ochoa and José Francisco Martínez-Trinidad, Journal of Intelligent & Fuzzy Systems (IF(2018) 1.637, Q3), Vol 36, No. 5, pp: 4981-4990, DOI: 10.3233/JIFS-179044, 2019
Improved Hieroglyph Representation for Image Retrieval, Laura Alejandra Pinilla Buitrago, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, and Edgar Román-Rangel, Journal on Computing and Cultural Heritage (IF(2018) 1.467, Q3), vol. 12-2, paper 13(1-15), No. 2, DOI: 10.1145/3284388, 2019
A review of conceptual clustering algorithms. Airel Pérez-Suárez, José Fco. Martínez-Trinidad, Jesús A. Carrasco-Ochoa, José E. Medina-Pagola. Artificial Intelligence Review (IF(2018) 5.095, Q1), DOI: 10.1007/s10462-018-9627-1, Vol. 52. No. 2, pp. 1267-1296 2019.
Conference Proceedings
A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score, Solorio-Fernández, S., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Lecture Notes in Computer Science, Volume 11524, Pattern Recognition, pp. 2–13, 2019
On the Use of Constructs for Rule-Based Classification: A Case Study, Lazo-Cortés, M.S., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Lecture Notes in Computer Science, Volume 11524, Pattern Recognition, pp. 327–335, 2019
The Mexican Conference on Pattern Recognition After Ten Editions: A Scientometric Study, Loyola-González, O., Medina-Pérez, M.A., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Lecture Notes in Computer Science, Volume 11524, Pattern Recognition, pp. 315–326, 2019
2018
Journal
Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss, Rodríguez-González, A. Y., Lezama, F., Iglesias-Alvarez, C. A., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & de Cote, E. M., Expert Systems with Applications (IF(2017) 3.768, Q1), Vol. 96, pp. 271-283, DOI: 10.1016/j.eswa.2017.12.018, 2018.
A new algorithm for reduct computation based on gap elimination and attribute contribution, Rodríguez-Diez, V., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & Lazo-Cortés, M. S., Information Sciences (IF(2017) 4.305, Q1), vol. 435, pp. 111-123, DOI: 10.1016/j.ins.2017.12.027, 2018.
Accurate and fast prototype selection based on the notion of relevant and border prototypes, Olvera-López, J. Arturo, J. Ariel Carrasco-Ochoa, and J. Martínez-Trinidad, Journal of Intelligent & Fuzzy Systems (IF(2017) 1.426, Q3), Vol. 34, Issue: 5, pp. 2923-2934, DOI: 10.3233/JIFS-169478, 2018
Revisiting two-stage feature selection based on coverage policies for text classification, Méndez-Molina, A., Ońa-García, A. L., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F., Journal of Intelligent & Fuzzy Systems (IF(2017) 1.426, Q3), Vol. 34, Issue: 5, pp. 2949-2957, DOI: 10.3233/JIFS-169480, 2018
Editorial Special Issue on The Mexican Conference on Pattern Recognition, Carrasco-Ochoa, JA, Martinez-Trinidad, JF, Ayala-Ramirez, V, Olvera-Lopez, JA, International Journal of Pattern Recognition and Artificial Intelligence (IF(2017) 1.029, Q3), Vol. 32, Issue 1, Special Issue: SI, DOI: 10.1142/S0218001418020019, 2018
Extensions to AGraP algorithm for finding a reduced set of inexact graph patterns, Marisol Flores-Garrido, J. Ariel Carrasco-Ochoa, J. Francisco Martínez-Trinidad, International Journal of Pattern Recognition and Artificial Intelligence (IF(2017) 1.029, Q3), Vol. 32, Issue 1, https://doi.org/10.1142/S0218001418600121, 2018.
Conference Proceedings
Multi-graph Frequent Approximate Subgraph Mining for Image Clustering, Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, Andrés Gago-Alonso, José Fco. Martínez-Trinidad, and José E. Medina-Pagola, Lecture Notes in Computer Science, Volume 11047, Progress in Artificial Intelligence and Pattern Recognition, pp. 133–140, 2018
Class-Specific Reducts vs. Classic Reducts in a Rule-Based Classifier: A Case Study, Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Lecture Notes in Computer Science, Volume 10880, Pattern Recognition, pp. 23–30, 2018
The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors, Vladímir Rodríguez-Diez, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, and Manuel S. Lazo-Cortés, Lecture Notes in Computer Science, Volume 10880, Pattern Recognition, pp. 41–50, 2018
Including Foreground and Background Information in Maya Hieroglyph Representation, Laura Alejandra Pinilla-Buitrago, Jesús A. Carrasco-Ochoa, and José Fco Martinez-Trinidad, Lecture Notes in Computer Science, Volume 10880, Pattern Recognition, pp. 238–247, 2018
Image Clustering Based on Frequent Approximate Subgraph Mining, Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Andrés Gago-Alonso, and José E. Medina-Pagola, Lecture Notes in Computer Science, Volume 10880, Pattern Recognition, pp. 189–198, 2018
Mining Generalized Closed Patterns from Multi-graph Collections, Niusvel Acosta-Mendoza, Andrés Gago-Alonso, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, and José E. Medina-Pagola, Lecture Notes in Computer Science, Volume 10657, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp. 10–18, 2018
Ranking Based Unsupervised Feature Selection Methods: An Empirical Comparative Study in High Dimensional Datasets, Saúl Solorio-Fernández, Jesús A. Carrasco-Ochoa, and José Fco Martinez-Trinidad, Lecture Notes in Artificial Intelligence, Volume 11288, MICAI 2018, pp. 1-14, 2018
2017
Journal
A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach, Saúl Solorio-Fernández, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Pattern Recognition (IF(2017) 3.962, Q1), Volume 72, pp 314-326, https://doi.org/10.1016/j.patcog.2017.07.020, 2017.
Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-graph Collections. Acosta-Mendoza, N., Gago-Alonso, A., Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F., and Medina-Pagola, J. E., To appear in International Journal of Pattern Recognition and Artificial Intelligence, http://dx.doi.org/10.1142/S0218001417500252, (IF 1.029, Q3) 2017.
PBC4cip: A new contrast pattern-based classifier for class imbalance problems, Loyola-González, O., Medina-Pérez, M. A., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Monroy, R. and García-Borroto, M., Knowledge-Based Systems, vol. 115, pp. 100-109, (IF 3.325, Q1), 2017.
Evaluation of quality measures for contrast patterns by using unseen objects, Milton García-Borroto, Octavio Loyola-González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Expert Systems With Applications (IF 2.981, Q1), vol. 83, pp 104–113, 2017
Image compression without loss using classifier 1-nn to adapt the coefficients of lifting filters, Ignacio Hernández-Bautista, Oleksiy Pogrebnyak, José-Juan Carbajal-Hernández, Jesús-Ariel Carrasco-Ochoa, José-Francisco Martínez-Trinidad, DYNA (IF 0.302, Q4), Volume 92, Issue 2, pp. 143-143, 2017
Editorial (Special Issue-MCPR2015), Famili, A; Martinez-Trinidad, JF, Carrasco-Ochoa, JA, Olvera-Lopez, JA, Sossa-Azuela, JH, Intelligent Data Analysis (IF(2016) 0.772, Q4), Volume 21, Issue 3, pp. 463-465, DOI: 10.3233/IDA-170880, 2017
Conference Proceedings
An Algorithm for Computing Goldman Fuzzy Reducts, J. Ariel Carrasco-Ochoa, Manuel S. Lazo-Cortés, and José Fco. Martínez-Trinidad, Lecture Notes in Computer Science, Volume 10267, Pattern Recognition, pp. 3–12, 2017
A Novel Contrast Pattern Selection Method for Class Imbalance Problems, Octavio Loyola-González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and Milton García-Borroto, Lecture Notes in Computer Science, Volume 10267, Pattern Recognition, pp. 41–50, 2017
Fast-BR vs. Fast-CT EXT: an Empirical Performance Study, Vladímir Rodríguez-Diez, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, and Manuel S. Lazo-Cortés, Lecture Notes in Computer Science, Volume 10267, Pattern Recognition, pp. 123–132, 2017
2016
Journal
A new hybrid filter–wrapper feature selection method for clustering based on ranking, Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Neurocomputing, (IF(2016) 3.317, Q1), vol. 214, pp. 866–880, http://dx.doi.org/10.1016/j.neucom.2016.07.026, 2016.
Effect of Class Imbalance on Quality Measures for Contrast Patterns: An Experimental Study, Octavio Loyola-González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, Information Sciences (IF 4.832, Q1), vol. 374, pp. 179–192, http://dx.doi.org/10.1016/j.ins.2016.09.040, 2016.
A new algorithm for approximate pattern mining in multi-graph collections, Niusvel Acosta-Mendoza, Andrés Gago-Alonso, Jesús Ariel Carrasco-Ochoa, José F Martínez-Trinidad, José E Medina-Pagola, Knowledge-Based Systems (IF(2016) 4.529, Q1), vol 109, pp. 198–207, DOI: 10.1016/j.knosys.2016.07.003, 2016.
Ajuste de filtros wavelets usando inteligencia artificial para compresión de imágenes, Ignacio Hernández Bautista, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Oscar Camacho-Nieto, Oleksiy Pogrebnyak, Polibits (CONACyT), vol. 53, pp. 23–30, http://dx.doi.org/10.17562/PB-53-2, 2016
A new algorithm for
computing reducts based on the binary discernibility matrix, Manuel S.
Lazo-Cortes, Jose Fco. Martinez-Trinidad, Jesus A. Carrasco-Ochoa, Guillermo
Sanchez-Diaz, Intelligent Data Analysis, vol 20(2), pp 317-337, DOI
10.3233/IDA-160807, 2016
Improving Graph-Based Image Classification by using Emerging Patterns as
Attributes, Niusvel Acosta-Mendoza, Andrés Gago-Alonso, Jesús A Carrasco-Ochoa,
José F Martínez-Trinidad, José E Medina-Pagola, Engineering Applications of
Artificial Intelligence, 50, pp. 215-225, 2016.
Study of the Impact of Resampling Methods for Contrast Pattern based Classifiers
in Imbalanced Databases, Octavio Loyola-González, José Fco. Martínez-Trinidad,
Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, Neurocomputing 175(B), pp.
935-947, 2016.
Advances in pattern recognition methodologies and applications (Editorial
Special Issue MCPR 2014), C.Y. Suen , J.F. Martinez-Trinidad , J.A.
Carrasco-Ochoa and J.A. Olvera-Lopez, Neurocomputing 175(B), pp. 835-936, 2016.
Conference Proceedings
Linear Model Optimizer vs Neural Networks: a Comparison for Improving the Quality and Saving of LED-Lighting Control Systems, Victor Lobato-Rios, Viviana del Rocio Hernandez-Castańon, Jesus Ariel Carrasco-Ochoa, Francisco Martinez-Trinidad, ICPR2016, 2016
A Glance to the Goldman's Testors from the Point of View of Rough Set Theory, Lazo-Cortés, M. S., Martínez-Trinidad, J. F., & Carrasco-Ochoa, J. A., Lecture Notes in Computer Science, Volume 9703, Pattern Recognition, pp. 189–197, 2016.
SMOTE-D a deterministic version of SMOTE, Fredy Rodríguez Torres, Jesús Ariel Carrasco-Ochoa, and José Francisco Martínez-Trinidad, Lecture Notes in Computer Science, Volume 9703, Pattern Recognition, pp. 177–188, 2016.
Detecting Pneumatic Failures on Temporary Immersion Bioreactors, Loyola-González, O., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Hernández-Tamayo, D., & García-Borroto, M., Lecture Notes in Computer Science, Volume 9703, Pattern Recognition, pp. 293–302, 2016.
A Multiple classifier system for fast an accurate learning in neural network context, E. F. Romero, R. M. Valdovinos, J. R. Marcial-Romero, J. A. Carrasco-Ochoa, LANMR 2016, CEUR workshop proceedings, vol. 1659, pp 50-57, http://ceur-ws.org/Vol-1659/paper7.pdf., 2016.
2015
Journal
Mining Patterns for Clustering using Unsupervised Decision Trees, A. E.
Gutierrez-Rodríguez, J. Fco. Martínez-Trinidad, M. García-Borroto and J. A.
Carrasco-Ochoa, Intelligent Data Analysis. vol. 19, no. 6, pp. 1297-1310, 2015.
A Fast Hardware-Software Platform for Computing Irreducible Testors, Vladimir
Rodríguez-Diez, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa,
Manuel Lazo-Cortés, Claudia Feregrino-Uribe, René Cumplido, Expert Systems With
Applications. doi:10.1016/j.eswa.2015.07.037, 42(24), pp. 9612-9619, 2015
Finding the best diversity generation procedures for mining contrast patterns,
Milton García-Borroto, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa,
Expert Systems With Applications, 42(11), pp. 4859-4866, 2015.
AGraP: an algorithm for mining frequent patterns in a single graph using inexact
matching, Marisol Flores-Garrido, Jesús-Ariel Carrasco-Ochoa, and José Fco.
Martínez-Trinidad, Knowledge and Information Systems, 44(2), pp. 385-406, DOI:
10.1007/s10115-014-0747-x, 2015
Mining patterns for clustering on numerical datasets using unsupervised decision
trees, A. E. Gutierrez-Rodríguez, J. Fco. Martínez-Trinidad, M. García-Borroto
and Jesús Ariel Carrasco-Ochoa, Knowledge-Based Systems, Volume 82, pp. 70-79.
DOI: 10.1016/j.knosys.2015.02.019, 2015
On the relation between rough set reducts and typical testors, Manuel S.
Lazo-Cortes, Jose Fco. Martinez-Trinidad, Jesus A. Carrasco-Ochoa, Guillermo
Sanchez-Diaz, Information Sciences, 294, pp. 152–163, 2015
Pattern recognition applications in computer vision and image analysis, Jose
Francisco Martinez-Trinidad, Jesus Ariel Carrasco-Ochoa, Joaquín Salas,
Gabriella Sanniti di Baja, Pattern Recognition, Volume 48(4), pp. 1025-1026,
2015
A Nectar of Frequent Approximate Subgraph Mining for Image Classification. Niusvel Acosta Mendoza, Andrés Gago Alonso, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, José Eladio Medina Pagola. Revista Cubana de Ciencias Informáticas, 9(1), pp 1-5, 2015.
Conference Proceedings
A Different Approach for Pruning
Micro-clusters in Data Stream Clustering, Argenis A. Aroche-Villarruel, José
Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and Airel Pérez-Suárez,
Lecture Notes in Computer Science, Volume 9116, Pattern Recognition, pp. 33–43,
2015.
Computing Constructs by Using Typical Testor Algorithms, Manuel S. Lazo-Cortés,
Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, and Guillermo
Sanchez-Diaz, Lecture Notes in Computer Science, Volume 9116, Pattern
Recognition, pp. 44-53, 2015.
Prototype Selection for Graph Embedding Using Instance Selection, Magdiel
Jiménez-Guarneros, Jesús Ariel Carrasco-Ochoa, and José Francisco
Martínez-Trinidad, Lecture Notes in Computer Science, Volume 9116, Pattern
Recognition, pp. 84-92, 2015.
Correlation of Resampling Methods for Contrast Pattern Based Classifiers,
Octavio Loyola-González, José Fco. Martínez-Trinidad, Jesús Ariel
Carrasco-Ochoa, and Milton García-Borroto, Lecture Notes in Computer Science,
Volume 9116, Pattern Recognition, pp. 93-102, 2015.
A New Method Based on Graph Transformation for FAS Mining in Multi-graph
Collections, Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Fco.
Martínez-Trinidad, Andrés Gago-Alonso, and José E. Medina-Pagola, Lecture Notes
in Computer Science, Volume 9116, Pattern Recognition, pp. 13-22, 2015.
2014
Journal
Mining maximal frequent patterns in a single graph using inexact matching,
Marisol Flores-Garrido, Jesús-Ariel Carrasco-Ochoa, and José Fco.
Martínez-Trinidad, Knowledge-Based Systems, 66, pp. 166-177, DOI: 10.1016/j.knosys.2014.04.040,
2014.
An Empirical Comparison Among Quality Measures for Pattern Based Classifiers,
Octavio Loyola-González, Milton García-Borroto, José Fco. Martínez-Trinidad,
Jesús Ariel Carrasco-Ochoa, Intelligent Data Analysis, 18(Supplement), pp.5-17,
2014.
Combining Hybrid Rule Ordering Strategies based on Netconf and a novel
satisfaction mechanism for CAR-based classifiers, R. Hernández-León, Jesús A.
Carrasco-Ochoa, José Fco. Martínez-Trinidad, J. Hernández-Palancar, Intelligent
Data Analysis, 18(Supplement), pp.89-100, 2014.
A survey of emerging patterns for supervised classification, Milton García-Borroto,
José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Artificial Intelligence
Review, 42(4), pp. 705-721, DOI: 10.1007/s10462-012-9355-x, 2014.
Introduction to the special issue on supervised and unsupervised classification
techniques and their applications, Boyer, Kim L.; Martinez-Trinidad, Jose
Francisco; Carrasco-Ochoa, Jesus Ariel, Pattern Recognition Letters, 41, Special
Issue, pp. 1-2, 2014.
A Node Linkage Approach for Sequential Pattern Mining, Osvaldo Navarro, René
Cumplido, Luis Villaseńor-Pineda, Claudia Feregrino-Uribe, Jesús Ariel
Carrasco-Ochoa, PLOS ONE, 9(6), pp. 1-16, DOI: 10.1371/journal.pone.0095418,
2014
Applying balancing techniques in traffic sign recognition. SE Gonzalez-Reyna, JF Martinez-Trinidad, Jesús Ariel Carrasco-Ochoa, Avina-Cervantes, J. G., and Ledesma-Orozco, S Artificial Intelligence Research. 3 (4), pp. 38-42, 2014.
Conference Proceedings
Graph Clustering via Inexact Patterns, Marisol Flores-Garrido, Jesús-Ariel
Carrasco-Ochoa, and José Fco. Martínez-Trinidad, Lecture Notes in Computer
Science, Volume 8827, pp. 391-398, 2014.
Are Reducts and Typical Testors the Same?, Manuel S. Lazo-Cortés, José Francisco
Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and Guillermo Sanchez-Diaz,
Lecture Notes in Computer Science, Volume 8827, pp. 294-301, 2014.
A New Method for Skeleton Pruning, Laura Alejandra Pinilla-Buitrago, José
Francisco Martínez-Trinidad, and Jesús Ariel Carrasco-Ochoa, Lecture Notes in
Computer Science, Volume 8495, Pattern Recognition, pp. 301-310, 2014.
On Two Definitions of Reduct, Manuel S. Lazo-Cortés, José Francisco
Martínez-Trinidad, and Jesús Ariel Carrasco-Ochoa, Lecture Notes in Computer
Science, Volume 8495, Pattern Recognition, pp. 31-40, 2014.
Study of Overlapping Clustering Algorithms Based on Kmeans through FBcubed
Metric, Argenis A. Aroche-Villarruel, Jesús Ariel Carrasco-Ochoa, José Francisco
Martínez-Trinidad, J. Arturo Olvera-López, and Airel Pérez-Suárez, Lecture Notes
in Computer Science, Volume 8495, Pattern Recognition, pp. 112–121, 2014.
Studying Netconf in Hybrid Rule Ordering Strategies for Associative
Classification, Raudel Hernández-León, José Hernández-Palancar, Jesús Ariel
Carrasco-Ochoa, and José Francisco Martínez-Trinidad, Lecture Notes in Computer
Science, Volume 8495, Pattern Recognition, pp. 51–60, 2014.
2013
Journal
Mining Frequent Patterns and Association Rules using Similarities, Ansel Yoan
Rodríguez-González, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa
and José Ruiz-Shulcloper, Expert Systems with Applications, 40(17) pp.
6823-6836, 2013.
OClustR: A new graph-based algorithm for overlapping clustering, Airel
Pérez-Suárez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José E.
Medina-Pagola, Neurocomputing 121, 234-247, 2013.
An algorithm based on density and compactness for dynamic overlapping clustering,
Airel Pérez-Suárez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa,
José E. Medina-Pagola, Pattern Recognition, Volume 46(11), pp. 3040-3055, 2013.
Advances in pattern recognition methodology and applications, Editorial,
Hancock, Edwin; Martinez-Trinidad Jose Francisco; Carrasco-Ochoa, Jesus Ariel,
Pattern Recognition Letters, Volume 34(4), Special Issue, pp. 359-360, 2013
InstanceRank based on borders for instance selection, Pablo Hernandez-Leal, J.
Ariel Carrasco-Ochoa, J. Fco. Martínez-Trinidad, J. Arturo Olvera-Lopez, Pattern
Recognition, Volume 46(1), pp. 365-375, 2013.
Water quality assessment in shrimp culture using an analytical hierarchical
process, José Juan Carbajal-Hernández, Luis P. Sánchez-Fernández, Luis A.
Villa-Vargas, Jesús A. Carrasco-Ochoa, José Fco. Martínez-Trinidad, Ecological
Indicators 29, pp. 148-158, 2013.
An Empirical Study of Oversampling and
Undersampling Methods for LCMine an Emerging Pattern Based Classifier, Octavio
Loyola-González, Milton García-Borroto, Miguel Angel Medina-Pérez, José Fco.
Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and Guillermo De Ita, Lecture
Notes in Computer Science, Volume 7914, Pattern Recognition, pp. 264-273, 2013.
Conference Proceedings
Feature Space Reduction for Graph-Based Image Classification, Niusvel
Acosta-Mendoza, Andrés Gago-Alonso, Jesús Ariel Carrasco-Ochoa, José Fco.
Martínez-Trinidad, and José E. Medina-Pagola, Lecture Notes in Computer Science,
Volume 8258, pp. 246-253, 2013.
New Penalty Scheme for Optimal Subsequence Bijection, Laura Alejandra
Pinilla-Buitrago, José Fco. Martínez-Trinidad, and Jesús Ariel Carrasco-Ochoa,
Lecture Notes in Computer Science, Volume 8258, pp. 206-213, 2013.
An Empirical Study of Oversampling cand Undersampling for Instance Selection
Methods on Imbalance Datasets, Julio Hernandez, Jesús Ariel Carrasco-Ochoa, and
José Fco. Martínez-Trinidad, Lecture Notes in Computer Science, Volume 8258, pp.
262-269, 2013.
Comparing Quality Measures for Contrast Pattern Classifiers, Milton García-Borroto,
Octavio Loyola-González, José Fco. Martínez-Trinidad, and Jesús Ariel
Carrasco-Ochoa, Lecture Notes in Computer Science, Volume 8258 Pattern
Recognition, pp. 311-318, 2013.
Easy Categorization of Attributes in Decision Tables Based on Basic Binary
Discernibility Matrix, Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, Jesús
Ariel Carrasco-Ochoa, and Guillermo Sánchez-Díaz, Lecture Notes in Computer
Science, Volume 8258 Pattern Recognition, pp. 302-310, 2013.
Information Retrieval based on a Query Document using Maximal Frequent Sequences,
Ricardo Merlo-Galeazzi, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad,
and J. Arturo Olvera-López, V Chilean Workshop on Pattern Recognition, to appear
in IEEE, 2013.
Combining techniques to find the number of bins for discretization, Miguel
´Angel Álvarez-Carmona, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad,
and J. Arturo Olvera-López, V Chilean Workshop on Pattern Recognition, to appear
in IEEE, 2013.
2012
Journal
Assessment and Prediction of Air Quality using Fuzzy Logic and Autoregressive
Models. José Juan Carbajal-Hernández, Jesús Ariel Carrasco-Ochoa, Luis P.
Sánchez-Fernández and José Fco. 2 Martínez-Trinidad, Atmospheric Environment,
16(4), pp. 37-50, 2012
Immediate water quality assessment in shrimp culture using fuzzy inference
systems, José Juan Carbajal-Hernández, Luis P. Sánchez-Fernández, Jesús A.
Carrasco-Ochoa and José Fco Martínez-Trinidad. Expert Systems with Applications,
Volume 39(12), pp. 10571-10582, 2012.
Classification based on specific rules and inexact coverage, Raudel Hernández
León, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, and José Hernández
Palancar, Expert Systems with Applications, Volume 39(12), pp. 11203-11211,
2012.
Building fast decision trees from large training sets. A. Franco-Arcega a, J. A.
Carrasco-Ochoa, G. Sánchez-Díaz and J. Fco. Martínez-Trinidad, Intelligent Data
Analysis an International Journal, Volume 16(4), pp. 649-664, 2012.
Hardware-Software Platform for Computing Irreducible Testors, Alejandro Rojas,
René Cumplido, J. Ariel Carrasco-Ochoa, Claudia Feregrino and J. Francisco
Martínez-Trinidad, Expert Systems with Applications, Volume 39(2), pp.
2203-2210, 2012.
A Dynamic Clustering Algorithm for Building Overlapped Clusters, Airel Pérez
Suárez, J. Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa and José E. Medina-Pagola,
Intelligent Data Analysis an International Journal, 16(2), pp. 211-232, 2012.
CAR-NF: A classifier based on specific rules with high Netconf, Raudel Hernández
León, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, and José Hernández
Palancar, Intelligent Data Analysis an International Journal, 16(1), pp. 49-68,
2012.
Decision Tree based Classifiers for Large Datasets, A. Franco-Arcega, Jesús A.
Carrasco-Ochoa, G. Sánchez-Díaz and José Fco. Martínez-Trinidad, Computación y
Sistemas, 17(1), pp 95-102, 2013.
Conference Proceedings
Maximal Sequential Patterns a tool for quantitative semantic in text analysis, René Arnulfo García-Hernández, J. Fco. Martínez Trinidad, J. Ariel Carrasco Ochoa, chapter 10 in Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications, edited by Drs. Ramon F. Brena and Adolfo Guzman-Arenas, IGI Global publication, pp 204-227, 2012
A
new Overlapping Clustering Algorithm based on Graph Theory, Airel Pérez Suárez,
José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa and José E. Medina Pagola,
LNAI vol. 7629, Proceedings of the 11th Mexican International Conference on
Artificial Intelligence (MICAI 2012), pp. 61-72, 2012.
Nested Dichotomies Based on Clustering, Miriam Mónica Duarte-Villaseńor, Jesús
Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Marisol Flores-Garrido,
Lecture Notes in Computer Science, Volume 7441, Progress in Pattern Recognition,
Image Analysis, Computer Vision, and Applications, pp. 162-169, 2012.
CAR-NF + : An Improved Version of CAR-NF Classifier, Raudel Hernández-León, José
Hernández-Palancar, Jesús Ariel Carrasco-Ochoa and José Francisco
Martínez-Trinidad, Lecture Notes in Computer Science, Volume 7441, Progress in
Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.
455-462, 2012.
A Modification of the Lernmatrix for Real Valued Data Processing, José Juan
Carbajal-Hernández, Luis P. Sánchez-Fernández, Luis A. Sánchez-Pérez, Jesús
Ariel Carrasco-Ochoa and José Francisco Martínez-Trinidad, Lecture Notes in
Computer Science, Volume 7441, Progress in Pattern Recognition, Image Analysis,
Computer Vision, and Applications, pp. 487-494, 2012.
Genetic Algorithm for Multidimensional Scaling over Mixed and Incomplete Data,
Pedro Tecuanhuehue-Vera, Jesús Ariel Carrasco-Ochoa and José Fco.
Martínez-Trinidad, Lecture Notes in Computer Science, Volume 7329, Pattern
Recognition, pp. 226-235, 2012.
A New Document Author Representation for Authorship Attribution, Adrián Pastor
López-Monroy, Manuel Montes-y-Gómez, Luis Villaseńor-Pineda, Jesús Ariel
Carrasco-Ochoa and José Fco. Martínez-Trinidad, Lecture Notes in Computer
Science, Volume 7329, Pattern Recognition, pp. 283-292, 2012.
Hybrid Feature Selection Method for Biomedical Datasets. Saúl Solorio-Fernández,
José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Yan-Qing Zhang, IEEE
Symposium on Computational Intelligence in Bioinformatics and Computational
Biology, San Diego CA, USA, pp. 150-155, 9-12 May 2012.
2011
Journal
Decision tree induction using a fast splitting attribute selection for large datasets. A. Franco-Arcega, J. A. Carrasco-Ochoa, G. Sánchez-Díaz and J.Fco. Martínez-Trinidad, Expert Systems with Applications, 38(11), pp. 14290–14300, 2011.
General Framework for Class-Specific Feature Selection. Pineda-Bautista Bárbara B., Carrasco-Ochoa J. A. and Martínez-Trinidad J. Fco, Experts Systems with Applications, Volume 38(8), pp. 10018-10024, 2011.
Fuzzy emerging patterns for classifying hard domains, Milton García-Borroto, José Fco Martínez-Trinidad and Jesús Ariel Carrasco-Ochoa, Knowledge and Information Systems, Volume 28(2), pp. 473-489, 2011.
RP-Miner: a relaxed prune algorithm for frequent similar pattern mining, Ansel Yoan Rodríguez-González, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa and José Ruiz-Shulcloper, Knowledge and Information Systems, Volume 27(3), pp: 451-471, 2011.
36. Reducing the Number of Canonical Form Tests for Frequent Subgraph Mining, Andrés Gago-Alonso, Jesús Ariel Carrasco-Ochoa, José E. Medina-Pagola, José Fco. Martínez-Trinidad, , Computación y Sistemas, 15(2), pp. 251-265, 2011.
2010
Journal
LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification, Garcia-Borroto M, Martinez-Trinidad JF, Carrasco-Ochoa JA, Medina-Perez MA, Ruiz-Shulcloper J, Journal of Pattern Recognition, Volume 43(9), pp. 3025-3034, 2010.
Fast k most similar neighbor classifier for mixed data (tree k-MSN), Selene Hernández Rodríguez, José Fco. Martínez-Trinidad and J. Ariel Carrasco-Ochoa, Journal of Pattern Recognition, Volume 43(3), pp. 873-886, 2010.
A review of instance selection methods, Olvera-Lopez JA, Carrasco-Ochoa JA, Martinez-Trinidad JF, Kittler J, Artificial Intelligence Review, Volume: 34(2), pp. 133-143, 2010.
Full duplicate candidate pruning for frequent connected subgraph mining, Gago-Alonso A, Carrasco-Ochoa JA, Medina-Pagola JE, Martínez-Trinidad JF, Integrated Computer-Aided Engineering, Volume: 17(3), pp. 211-225, 2010.
A New Algorithm for Mining Frequent Connected Subgraphs based on Adjacency Matrices, Andrés Gago Alonso, Abel Puentes-Luberta, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, and José E. Medina Pagola, Intelligent Data Analysis an International Journal, Volume 14(3), pp. 385-403, 2010.
Algorithms for Mining Frequent Itemsets in Static and Dynamic Datasets, Raudel Hernández León, José Hernández Palancar, J. Ariel Carrasco-Ochoa, and José Fco. Martínez-Trinidad, Intelligent Data Analysis an International Journal, Volume 14(3), pp. 419-435, 2010.
A New Fast Prototype Selection Method based on Clustering, J. A. Olvera-López, J. A. Carrasco-Ochoa, J. Fco. Martínez-Trinidad, Pattern Analysis and Applications Journal, Volume 13(2), pp. 131-141, 2010.
Prototype Selection Methods, J. A. Olvera-López, J. A. Carrasco-Ochoa, J. Fco. Martínez-Trinidad, Computacion y Sistemas, volume 13(4), pp. 449-462, 2010.
Fast Most Similar Neighbor (MSN) classifiers for Mixed Data, Selene Hernández Rodríguez, José Fco. Martínez-Trinidad and J. Ariel Carrasco-Ochoa, Computacion y Sistemas, volume 14(1), pp. 73-85, 2010.
Finding Maximal Sequential Patterns in Text Document Collections and Single Documents, René Arnulfo García-Hernández, José Francisco Martínez Trinidad and Jesús Ariel Carrasco Ochoa, Special Issue on Computational Linguistics and itrs Applications, International Journal of Informatica, volume 34(1), pp. 93-101, 2010.
Conference Proceedings
Hybrid Feature Selection Method for Supervised Classification Based on Laplacian Score Ranking, Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa and José Fco. Martínez-Trinidad, Lecture Notes in Computer Science, Volume 6256, Advances in Pattern Recognition, pp. 260-269, 2010.
Cascading an Emerging Pattern Based Classifier, Milton García-Borroto, José Fco. Martínez-Trinidad and Jesús Ariel Carrasco-Ochoa, Lecture Notes in Computer Science, Volume 6256, Advances in Pattern Recognition, pp. 240-249, 2010.
New Dissimilarity Measures for Ultraviolet Spectra Identification, Andrés Eduardo Gutiérrez-Rodríguez, Miguel Angel Medina-Pérez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa and Milton García-Borroto, Lecture Notes in Computer Science, Volume 6256, Advances in Pattern Recognition, pp. 220-229, 2010.
Designing RBFNNs Using Prototype Selection, Ana Cecilia Tenorio-González, José Fco. Martínez-Trinidad and Jesús Ariel Carrasco-Ochoa, Lecture Notes in Computer Science, Volume 6256, Advances in Pattern Recognition, pp. 189-198, 2010.
A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification, Milton García-Borroto, José Francisco Martínez-Trinidad and Jesús Ariel Carrasco-Ochoa, Lecture Notes in Computer Science, Volume 6118, Advances in Knowledge Discovery and Data Mining, pp. 150-157, 2010.
“A” Conference according to the Australian Ranking of ICT Conferences.
Using Non Boolean Similarity Functions for Frequent Similar Pattern Mining, Ansel Y. Rodríguez-González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa and José Ruiz-Shulcloper, Lecture Notes in Computer Science, Volume 6085, Advances in Artificial Intelligence, pp. 374-378, 2010.
Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets, Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz and José Fco. Martínez-Trinidad, Lecture Notes in Computer Science, Volume 6085, Advances in Artificial Intelligence, pp. 370-373, 2010.
Classifying Using Specific Rules with High Confidence, R. Hernandez-Leon, J.A. Carrasco-Ochoa, J. Fco. Martinez-Trinidad, J. Hernandez-Palancar, Ninth Mexican International Conference on Artificial Intelligence, IEEE, pp. 75-80, November 2010
Desarrollo de Clasificadores basados en Reglas de Asociación, Raudel Hernández León, Jesús A. Carrasco Ochoa, José Hernández Palancar, J. Fco. Martínez Trinidad, Technical report no. CCC-10-002, INAOE, January 2010. (in spanish)
Algoritmos dinámicos para el agrupamiento con traslape, Airel Pérez Suárez, José Fco. Martínez Trinidad, José E. Medina Pagola, Jesús Ariel Carrasco Ochoa, Technical report no. CCC-10-001, INAOE, January 2010. (in spanish)
2009
Journal
Prototype Selection based on Sequential Search, J. A. Olvera-López, J. Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa, and J. Kittler, Intelligent Data Analysis an International Journal, IDA Volume 13(4), pp. 599-631, 2009.
Conference Proceedings
Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs. Milton García-Borroto, Yenny Villuendas-Rey, J. A. Carrasco-Ochoa and J. Fco. Martínez-Trinidad. In Proc. of the 14th Iberoamerican Congress on Pattern Recognition (CIARP2009), Guadalajara, Mexico. Published in Lecture Notes in Computer Science series, 5856, Springer-Verlag, IEEE, pp. 465-472, 2009.
Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers. Milton García-Borroto, Yenny Villuendas-Rey, J. A. Carrasco-Ochoa and J. Fco. Martínez-Trinidad. In Proc. of the 14th Iberoamerican Congress on Pattern Recognition (CIARP2009), Guadalajara, Mexico. Published in Lecture Notes in Computer Science series, 5856, Springer-Verlag, pp. 489-496, 2009.
A New Incremental Algorithm for Overlapped Clustering. Airel Pérez Suárez, J. Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa and José E. Medina-Pagola. In Proc. of the 14th Iberoamerican Congress on Pattern Recognition (CIARP2009), Guadalajara, Mexico. Published in Lecture Notes in Computer Science series, 5856, Springer-Verlag, pp. 497-504, 2009.
Duplicate Candidate Elimination and Fast Support Calculation for Frequent Subgraph Mining, Andrés Gago Alonso, Jesús Ariel Carrasco-Ochoa, José E. Medina-Pagola, José Francisco Martínez Trinidad: Proc. of Intelligent Data Engineering and Automated Learnig (IDEAL 2009), Published in Lecture Notes in Computer Science series, 5788, Springer-Verlag, pp. 292-299, 2009.
Taking Advantage of Class-Specific Feature Selection, Barbara Berenica Pineda Bautista, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad: Proc. of Intelligent Data Engineering and Automated Learnig (IDEAL 2009), Published in Lecture Notes in Computer Science series, 5788, Springer-Verlag, pp. 1-8, 2009.
Minería de subgrafos conexos frecuentes en colecciones de grafos etiquetados, Andrés Gago Alonso, Jesús Ariel Carrasco Ochoa, José Eladio Medina Pagola, Technical report no. CCC-09-003, INAOE, June 2009. (in spanish)
Minería de Reglas de Asociación sobre Datos Mezclados, Ansel Yoan Rodríguez González, José Francisco Martínez Trinidad, Jesús Ariel Carrasco Ochoa, José Luis Ruiz Schulcloper, Technical report no. CCC-09-001, INAOE, March 2009. (in spanish)
2008
Conference Proceedings
A New Graph-based Algorithm for Clustering Documents. Airel Pérez Suárez, J. Fco. Martínez-Trinidad, Jesús Ariel Carrasco Ochoa, and José Eladio Medina Pagola. In Proc. of the Workshop on Foundations of Data Mining (FDM2008).
On the Selection of Base Prototypes for LAESA and TLAESA Classifiers. Selene Hernández-Rodríguez, J. Fco. Martínez-Trinidad, and J. Ariel Carrasco-Ochoa. In Proc. of the 19th International Conference on Pattern Recognition (ICPR2008) in CD, 2008.
“A” Conference according to the Australian Ranking of ICT Conferences.
Mining Frequent Connected Subgraphs Reducing the Number of Candidates. Andrés Gago Alonso, José E. Medina Pagola, J. Ariel Carrasco-Ochoa, and José Fco. Martínez-Trinidad. In Proc. Of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD). Published in Lecture Notes in Artificial Intelligence, 5211, Springer-Verlag, pp.365-376, 2008.
“A” Conference according to the Australian Ranking of ICT Conferences.
Fast K Most Similar Neighbor Classifier for Mixed Data base on an Approximating and Eliminating Algorithm, Hernández-Rodríguez Selene, Carrasco-Ochoa J. Ariel, and Martínez-Trinidad J. Fco, Accepted in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD-2008, Published in Lecture Notes in Artificial Intelliegence, 5012, Springer-Verlag, pp.697-704, 2008.
“A” Conference according to the Australian Ranking of ICT Conferences.
A new incremental algorithm for induction of multivariate decision trees for large datasets. Anilu Franco-Arcega, J. A. Carrasco-Ochoa, Guillermo Sanchez-Diaz and J. Fco. Martínez-Trinidad. In Proc. of 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2008). Published in Lecture Notes in Computer Science, 5326, Springer-Verlag, pp.282-289, 2008.
Fast k Most Similar Neighbor Classifier for Mixed Data based on a Tree Structure and Approximating-Eliminating. Selene Hernández-Rodríguez, J. A. Carrasco-Ochoa, and J. Fco. Martínez-Trinidad. In Proc. of the 13th Iberoamerican Congress on Pattern Recognition (CIARP2008), Habana, Cuba. Published in Lecture Notes in Computer Science series, 5197, Springer-Verlag, pp. 364-371, 2008.
Prototype Selection via Prototype Relevance. J. Arturo Olvera-López, J. A. Carrasco-Ochoa, and J. Fco. Martínez-Trinidad. In Proc. of the 13th Iberoamerican Congress on Pattern Recognition (CIARP2008), Habana, Cuba. Published in Lecture Notes in Computer Science series, 5197, Springer-Verlag, pp. 153-160, 2008.
Gait Recognition Based on Silhouette, Contour and Classifier Ensambles. M. Romero-Moreno, J. Fco. Martínez-Trinidad, and J. A. Carrasco-Ochoa. In Proc. of the 13th Iberoamerican Congress on Pattern Recognition (CIARP2008), Habana, Cuba. Published in Lecture Notes in Computer Science series, 5197, Springer-Verlag, pp. 527-534, 2008.
Mining Frequent Similar Patterns on Mixed Data. Ansel Y. Rodríguez González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and José Ruiz-Shulcloper. In Proc. of the 13th Iberoamerican Congress on Pattern Recognition (CIARP2008), Habana, Cuba. Published in Lecture Notes in Computer Science series, 5197, Springer-Verlag, pp. 137-144, 2008.
A Novel Incremental Algorithm for Frequent Itemsets Mining in Dynamic Datasets. Raudel Hernández-León, José Hernández-Palancar, J.A. Carrasco-Ochoa, and J. Fco. Martínez-Trinidad. In Proc. of the 13th Iberoamerican Congress on Pattern Recognition (CIARP2008), Habana, Cuba. Published in Lecture Notes in Computer Science series, 5197, Springer-Verlag, pp. 145-152, 2008.
Árboles de Decisión para Grandes Conjuntos de Datos, Autores: Anilu Franco-Arcega, J. Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, J. Francisco Martínez-Trinidad, Technical report no. CCC-08-001, INAOE, February 2008. (in spanish)
2007
Journal
Restricted Conceptual Clustering Algorithms based on Seeds, I. O. Ayaquica-Martínez, J. Fco. Martínez-Trinidad and J. Ariel Carrasco-Ochoa, Computación y Sistemas, Vol 11, No. 2, pp 174-187, 2007.
Conference Proceedings
FPGA-based Architecture for Computing Testors, Alejandro Rojas, René Cumplido, J. Ariel Carrasco-Ochoa, Claudia Feregrino, J. Francisco Martínez-Trinidad, Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning IDEAL-2007, Lecture Notes in Computer Science Vol 4881, pp. 188-197, Springer, 2007.
Mixed Data Object Selection Based on Clustering and Border Objects, J. Arturo Olvera-López, J. Fco. Martínez-Trinidad, and J. Ariel Carrasco-Ochoa, Proceedings of the 12th Iberoamerican Congress on Pattern Recognition CIARP-2007, Lecture Notes in Computer Science, Vol 4756, pp. 674–683, Springer, 2007.
Fast k Most Similar Neighbor Classifier for Mixed Data Based on a Tree Structure, Selene Hernández-Rodríguez, J. Fco. Martínez-Trinidad, and J. Ariel Carrasco-Ochoa, Proceedings of the 12th Iberoamerican Congress on Pattern Recognition CIARP-2007, Lecture Notes in Computer Science, Vol 4756, pp. 407–416, Springer, 2007.
Object Selection Based on Clustering and Border Objects, J. Arturo Olvera-López, J. Ariel Carrasco-Ochoa and J. Francisco Martínez-Trinidad, Proceedings of Computer Recognition Systems CORES-2007, Advances in Soft Computing. Vol 45, pp. 27-34, Springer, 2007.
Restricted Sequential Floating Search Applied to Object Selection, J. Arturo Olvera-López, J. Francisco Martínez-Trinidad, and J. Ariel Carrasco-Ochoa, Proceedings of the 5th International Conference on Machine Learning and Data Mining MLDM-2007, Leipzig, Germany, Lecture Notes in Artificial Intelligence, Vol 4571, pp. 694-702, Springer, 2007.
Fast Most Similar Neighbor Classifier for Mixed Data, Hernández-Rodríguez Selene, Carrasco-Ochoa J. Ariel, and Martínez-Trinidad J. Fco, Proceedings of the 20th Conference of the Canadian Society for Computational Studies of Intelligence Canadian-AI-2007, Lecture Notes in Artificial Intelligence, Vol 4509, pp. 146-158, Springer, 2007.
2006
Conference Proceedings
Document clustering based on maximal frequent sequences, Hernandez-Reyes E, Garcia-Hernandez RA, Carrasco-Ochoa JA, J. Fco. Martínez-Trinidad, Lecture Notes in Artificial Intelligence, Vol 4139, pp. 257-267, 2006.
A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection, René A. García-Hernández, J. Fco. Martínez-Trinidad and J. Ariel Carrasco-Ochoa, Lecture Notes in Computer Science, Springer, Vol 3878, pp. 514-523, 2006.
Document Representation Based on Maximal Frequent Sequence Sets, Edith Hernández-Reyes, J. Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa and René A. García Hernández, Lecture Notes in Computer Science, Springer, Vol 4225, pp. 854-863, 2006.
Conceptual K-Means Algorithm based on Complex Features, I. O. Ayaquica-Martínez, J. Fco. Martínez-Trinidad and J. Ariel Carrasco-Ochoa, Lecture Notes in Computer Science, Springer, Vol 4225, pp. 491-501, 2006.
On the Design and Implementation of a High Performance Configurable Architecture for Testor Identification, René Cumplido, J. Ariel Carrasco-Ochoa and Claudia Feregrino, Lecture Notes in Computer Science, Springer, Vol 4225, pp. 665-673, 2006.
Fast Global k-means with Similarity Functions Algorithm, Saúl López-Escobar, J. Ariel Carrasco-Ochoa and J. Fco. Martínez-Trinidad, Lecture Notes in Computer Science, Springer, Vol 4224, pp. 512-521, 2006.
2005
Conference Proceedings
Classifier Selection Based on Data Complexity Measures, Edith Hernández Reyes, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3773, pp. 586-592, 2005
Reward-Punishment Editing for Mixed Data, Raúl Rodríguez Colín, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3773, pp. 481-488, 2005
Global K-Means with Similarity Functions, Saúl López Escobar, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3773, pp. 392-399, 2005
Conceptual K-Means Algorithm with Similarity Functions, Irene Olaya Ayaquica Martínez, José Francisco Martínez Trinidad, Jesús Ariel Carrasco Ochoa, Lecture Notes in Computer Science, Springer, Vol. 3773, pp. 368-376, 2005
Edition Schemes Based on BSE, José Arturo Olvera, José Francisco Martínez Trinidad, Jesús Ariel Carrasco Ochoa, Lecture Notes in Computer Science, Springer, Vol. 3773, pp. 360-367, 2005
Sequential Search for Decremental Edition, José Arturo Olvera, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3578, pp. 280-285, 2005
Data Preprocessing by Sequential Pattern Mining for LZW, Osalan O. Vergara Villegas, Rene A. García Hernández, Jesús Ariel Carrasco Ochoa, Raúl Pinto Elías, José Francisco Martínez Trinidad, Mexican International Conference on Computer Science ENC 2005, Puebla, México, pp. 82-87, 2005.
Edición de muestras basada en búsqueda secuencial, Olvera López J. Arturo, Carrasco Ochoa J. Ariel, Martínez Trinidad J.Francisco, Technical report no. CCC-05-002, INAOE, 2005. (in spanish)
2004
Journal
Sensitivity Analysis of the Set of all Goldman Typical Testors, Jesús Ariel Carrasco Ochoa, José Ruiz Shulcloper, Journal of Fuzzy Sets and Systems, Elsevier. Vol 141, Issue 2, pp 241-257, 2004.
Feature Selection Using Typical Testors Applied to Estimation of Stellar Parameters, José Ángel Santos Gordillo, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Computación y Sistemas, Vol 8, No. 1, pp. 15-23, 2004
Conference Proceedings
A Fast Algorithm to Find All the Maximal Frequent Sequences in a Text, René Arnulfo García Hernández, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3287, pp. 478-486, 2004
Two Floating Search Strategies to Compute the Support Sets System for ALVOT, Erika Danaé López Espinoza, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3287, pp. 677-684, 2004
Feature Selection Using Typical e:Testors, Working on Dynamical Data, Jesús Ariel Carrasco Ochoa, José Ruiz Shulcloper, Lucía Angélica De la Vega Doria, Lecture Notes in Computer Science, Springer, Vol. 3287, pp. 685-692, 2004
Feature Selection for Natural Disaster Texts Classification Using Testors, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 3177, pp. 424-429, 2004
2003
Journal
Computing Fuzzy F–Testor using a Genetic Algorithm, José Ángel Santos Gordillo, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, WSEAS Transactions on Systems, Issue 4, Vol. 2, pp 1068-1072, 2003.
Combining Evolutionary Techniques to Improve ALVOT Efficiency, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, WSEAS Transactions on Systems, Issue 4, Vol. 2, pp 1073-1078, 2003.
Conference Proceedings
Editing and Training for ALVOT, an Evolutionary Approach, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, Lecture Notes in Computer Science, Springer, Vol. 2690, pp. 452-456, 2003.
Support Sets System Selection for ALVOT using Floating Sequential Search, Erika Danaé López Espinoza, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, International Congress on Computing CIC2003, México D.F., pp. 152-156, 2003. (in spanish)
2002
Journal
Sensitivity Analysis in Logical Combinatorial Pattern Recognition, Jesús Ariel Carrasco Ochoa, Computación y Sistemas, Vol 6, No. 1, pp. 62-66, 2002
Conference Proceedings
Combining Evolution Techniques to estimate Features´ Weights and the Support Sets System for ALVOT, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, VII Iberoamerican Congress on Pattern Recognition CIARP2002, México, pp. 277-287, 2002.
Comparative Analysis of Feature Selection by Typical Testors Applied to Stellar Parameters Estimation, José Ángel Santos Gordillo, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, International Congress on Computing CIC2002, México D.F., pp. 243-253, 2002. (in spanish)
Genetic Approach to Support Sets System Estimation for ALVOT, Jesús Ariel Carrasco-Ochoa and J. Fco. Martínez-Trinidad. IASTED International Conference on Artificial Intelligence and Applications 2002, Malaga, Espańa, pp. 364-368, 2002.
2001
Conference Proceedings
Sensitivity Analysis for b0-Compact Sets, Jesús Ariel Carrasco Ochoa, José Ruiz Shulcloper, Lucía Angélica De la Vega Doria, VI Iberoamerican Symposium on Pattern Recognition, pp 14-19, Florianópolis, Brasil, 2001.
Estimation of the Support Sets System and Representation Thresholds for CR+ using parallelism techniques, Jesús Ariel Carrasco Ochoa, Yolanda Moyao Martínez, International Congress on Computing CIC’2001, pp 217-227, México D.F., 2001. (in spanish).
Sensitivity Analysis in Logical-Combinatorial Pattern Recognition, Jesús Ariel Carrasco Ochoa, PhD. Thesis in Computer Science, CIC-IPN, Mexico, 2001. (in spanish)
2000
Conference Proceedings
Dynamical Feature Relevance Estimation Using Goldman Typical Testors, Jesús Ariel Carrasco Ochoa, José Ruiz Shulcloper, V Iberoamerican Symposium on Pattern Recognition, pp 301-309, Lisboa, Portugal, 2000.
Sensitivity analysis for fuzzy connected components, Jesús Ariel Carrasco Ochoa and José Ruiz Shulcloper, International Congress on Computing CIC’99, Mexico, pp. 284-290, 1999. (in spanish). Selected as one of the best papers and presented in the Mexican International Conference on Artificial Intelligence MICAI’2000, pp 167-175, Acapulco, México, 2000.
1999
Conference Proceedings
Sensitivity analysis for clustering, Jesús Ariel Carrasco Ochoa and José Ruiz Shulcloper, IV Iberoamerican Symposium on Pattern Recognition, La Havana, Cuba, pp. 223-233, 1999. (in spanish)
Supervised classification, Logical-Combinatorial approach, Jesús Ariel Carrasco Ochoa, Forum: Computing, from theory to practice, IPN, Mexico, pp. 127-137, 1999. (in spanish)
1998
Conference Proceedings
GBT: a new algorithm for calculating Goldman typical testors, Jesús Ariel Carrasco Ochoa, International Symposium on Computing, Mexico, pp. 522-529, 1998. (in spanish)
Fuzzy Kora-W Algorithm, Lucía A. De la Vega Doria, Carrasco Ochoa Jesús Ariel and José Ruiz Shulcloper, 6th European Congress on Intelligent Techniques and Soft Computing EUFIT 98, Aachen Germany, volume 2, pp. 1190-1194, 1998.
A supervised classification model based on representative sets, Jesús Ariel Carrasco Ochoa, Lucía Angelica de la Vega Doria and José Ruiz Shulcloper, III Iberoamerican Workshop on Pattern Recognition, Mexico, pp. 267-278, 1998. (in spanish)
Sensitivity problems of the set of typical testors of a Boolean Matrix, Carrasco Ochoa Jesús Ariel and José Ruiz Shulcloper, III Iberoamerican Workshop on Pattern Recognition, Mexico, pp. 257-266, 1998. (in spanish)
1994
Classifiers based on representative sets, Jesús Ariel Carrasco Ochoa, M. Sc. Thesis in Electrical Engineering, Computer Science option, CINVESTAV-IPN, Mexico, 1994. (in spanish)
1992
Environment for programmable sequences development, José Martín Orato Ramírez, Jesús Ariel Carrasco Ochoa and Lucía Angélica De la Vega Doria, 5th Latin-American Congress on Automatic Control, La Havana, Cuba, volume 1, pp. 285-289, 1992. (in spanish)
1991
System for automatic control of employees, Rafael Almaraz Rodríguez, Jesús Ariel Carrasco Ochoa, Santiago Domínguez Domínguez and José Martín Orato Ramírez, Technical report no. 132, INAOE, 1991. (in spanish)
Design of an iconic user interface, Jesús Ariel Carrasco Ochoa, Conference at the "1st week of Computation", ECFM-UAP, Puebla, Mexico, 1991. (in spanish)
Package to generate and simulate sequences, José Martín Orato Ramírez, Jesús Ariel Carrasco Ochoa and Lucía Angélica De la Vega Doria, Proceedings of the "V National Reunion of research in Computer Science ", Toluca, Mexico, pp. 54-63, 1991. (in spanish)
1990
Environment for programmable sequences development, Reference Manual, José Martín Orato Ramírez, Luis Villaseńor Pineda, Juan Pablo Romero Mares and Jesús Ariel Carrasco Ochoa, Technical report no. 113, INAOE, 1990. (in spanish)
Environment for programmable sequences development, User Manual, José Martín Orato Ramírez, Luis Villaseńor Pineda, Juan Pablo Romero Mares and Jesús Ariel Carrasco Ochoa, Technical report no. 112, INAOE, 1990. (in spanish)
Environment for iconic interfaces development, José Martín Orato Ramírez, Luis Villaseńor Pineda, Juan Pablo Romero Mares and Jesús Ariel Carrasco Ochoa, Technical Report no. 104, INAOE, 1990. (in spanish)
1989
Convert compiler for Intel 8086 processor, Jesús Ariel Carrasco Ochoa, Lucía Angélica De la Vega Doria and Gerardo Cisneros Stoianowski, 5th International Conference "Computers at Research and Educational Institutions", Mexico, pp. 32-34, 1989. (in spanish)
Convert compiler for Intel 8086 processor. Jesús Ariel Carrasco Ochoa, Profesional Thesis, B. Sc. In computer Science, Mathematics and Physics School of Autonomous University of Puebla, Mexico, 1989. (in spanish)
1988
Development of CCP for SYSREC, Jesús Ariel Carrasco Ochoa, social service, Microcomputer Application Department, Science Institute of Autonomous University of Puebla, Mexico, 1988. (in spanish)