José Ramón Cano

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 25

Top Topics

Pair Wise Constraints

Nearest Neighbor

Top Venues

Publications

Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints. Inf. Fusion 102 (2024)
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions. CoRR (2023)
Germán González-Almagro, Juan-Luis Suárez, Pablo Sánchez Bermejo, José Ramón Cano, Salvador García
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints. CoRR (2023)
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
3SHACC: Three stages hybrid agglomerative constrained clustering. Neurocomputing 490 (2022)
Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García
Monotonic Constrained Clustering: A First Approach. IEA/AIE (2022)
Manuel González, Julián Luengo, José Ramón Cano, Salvador García
Synthetic Sample Generation for Label Distribution Learning. Inf. Sci. 544 (2021)
Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García
Decomposition-Fusion for Label Distribution Learning. Inf. Fusion 66 (2021)
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. Swarm Evol. Comput. 66 (2021)
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
Enhancing instance-level constrained clustering through differential evolution. Appl. Soft Comput. 108 (2021)
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
DILS: Constrained clustering through dual iterative local search. Comput. Oper. Res. 121 (2020)
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. HAIS (2020)
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. GECCO (2020)
José Ramón Cano, Julián Luengo, Salvador García
Similarity-based and Iterative Label Noise Filters for Monotonic Classification. HICSS (2020)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing 341 (2019)
José Ramón Cano, Julián Luengo, Salvador García
Label noise filtering techniques to improve monotonic classification. Neurocomputing 353 (2019)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR (2018)
Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral
Credal C4.5 with Refinement of Parameters. IPMU (3) (2018)
José Ramón Cano, Julián Luengo, Salvador García
Label Noise Filtering Techniques to Improve Monotonic Classification. CoRR (2018)
José Ramón Cano, Salvador García
A First Attempt on Monotonic Training Set Selection. HAIS (2018)
José Ramón Cano, Salvador García
Training set selection for monotonic ordinal classification. Data Knowl. Eng. 112 (2017)
José Ramón Cano, Naif R. Aljohani, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, Salvador García
Prototype selection to improve monotonic nearest neighbor. Eng. Appl. Artif. Intell. 60 (2017)
Javier García, Habib M. Fardoun, Daniyal M. Alghazzawi, José Ramón Cano, Salvador García
MoNGEL: monotonic nested generalized exemplar learning. Pattern Anal. Appl. 20 (2) (2017)
Muhammad Aslam Jarwar, Rabeeh Ayaz Abbasi, Mubashar Mushtaq, Onaiza Maqbool, Naif R. Aljohani, Ali Daud, Jalal S. Alowibdi, José Ramón Cano, Salvador García, Ilyoung Chong
CommuniMents: A Framework for Detecting Community Based Sentiments for Events. Int. J. Semantic Web Inf. Syst. 13 (2) (2017)
Javier García, Adnan Al-bar, Naif R. Aljohani, José Ramón Cano, Salvador García
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms. Int. J. Comput. Intell. Syst. 9 (1) (2016)
Javier García, José Ramón Cano, Salvador García
A Nearest Hyperrectangle Monotonic Learning Method. HAIS (2016)
José Ramón Cano
Analysis of data complexity measures for classification. Expert Syst. Appl. 40 (12) (2013)
Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Trans. Pattern Anal. Mach. Intell. 34 (3) (2012)
José Ramón Cano
Predictive-collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support. Expert Syst. Appl. 39 (4) (2012)
Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera
Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. Int. J. Pattern Recognit. Artif. Intell. 23 (8) (2009)
Manuel Lozano, Francisco Herrera, José Ramón Cano
Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178 (23) (2008)
José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection. Expert Syst. Appl. 35 (4) (2008)
Salvador García, José Ramón Cano, Francisco Herrera
A memetic algorithm for evolutionary prototype selection: A scaling up approach. Pattern Recognit. 41 (8) (2008)
José Ramón Cano, Salvador García, Francisco Herrera
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes. Pattern Recognit. Lett. 29 (16) (2008)
José Ramón Cano, Francisco Herrera, Manuel Lozano
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability. Data Knowl. Eng. 60 (1) (2007)
José Ramón Cano, Francisco Herrera, Manuel Lozano
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. Appl. Soft Comput. 6 (3) (2006)
Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. IDEAL (2006)
Salvador García, José Ramón Cano, Francisco Herrera
Incorporating Knowledge in Evolutionary Prototype Selection. IDEAL (2006)
José Ramón Cano, Francisco Herrera, Manuel Lozano
Stratification for scaling up evolutionary prototype selection. Pattern Recognit. Lett. 26 (7) (2005)
Rafael Alcalá, José Ramón Cano, Oscar Cordón, Francisco Herrera, Pedro Villar, Igor Zwir
Linguistic modeling with hierarchical systems of weighted linguistic rules. Int. J. Approx. Reason. 32 (2-3) (2003)
José Ramón Cano, Francisco Herrera, Manuel Lozano
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. IEEE Trans. Evol. Comput. 7 (6) (2003)
José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez
A GRASP Algorithm for Clustering. IBERAMIA (2002)
José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure. J. Intell. Fuzzy Syst. 12 (3-4) (2002)