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.

 

2015

 

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.

 

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

 

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.

 

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

 

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.

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

 

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.

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.

 

Maximal Sequential Patterns a tool for quantitative semantic in text analysis, René Arnulfo García-Hernández, J. Fco. Martínez Trinidad, J. Ariel Carrasco Ochoa, to appear as 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

 

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

 

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.

 

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

 

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.

 

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

 

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

 

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.

 

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

 

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

 

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

 

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

 

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

 

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.

 

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.

 

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

 

Sensitivity Analysis in Logical Combinatorial Pattern Recognition, Jesús Ariel Carrasco Ochoa, Computación y Sistemas, Vol 6, No. 1, pp. 62-66, 2002

 

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

 

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

 

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

 

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

 

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)