José Ramón Cano

44 papers A 1C 3Misc 3Journal 33Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions.
Artif. Intell. Rev.
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
2024 J jnl
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints.
Inf. Fusion
Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García
2023 J jnl
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions.
CoRR
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
2023 J jnl
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints.
CoRR
Germán González-Almagro, Juan-Luis Suárez, Pablo Sánchez Bermejo, José Ramón Cano, Salvador García
2022 J jnl
3SHACC: Three stages hybrid agglomerative constrained clustering.
Neurocomputing
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
2022 C conf
Monotonic Constrained Clustering: A First Approach.
IEA/AIE
Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García
2021 J jnl
Decomposition-Fusion for Label Distribution Learning.
Inf. Fusion
Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García
2021 J jnl
Enhancing instance-level constrained clustering through differential evolution.
Appl. Soft Comput.
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
2021 J jnl
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism.
Swarm Evol. Comput.
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2021 J jnl
Synthetic Sample Generation for Label Distribution Learning.
Inf. Sci.
Manuel González, Julián Luengo, José Ramón Cano, Salvador García
2020 Misc conf
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation.
HAIS
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
2020 J jnl
DILS: Constrained clustering through dual iterative local search.
Comput. Oper. Res.
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
2020 A conf
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism.
GECCO
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2020 — conf
Similarity-based and Iterative Label Noise Filters for Monotonic Classification.
HICSS
José Ramón Cano, Julián Luengo, Salvador García
2019 J jnl
Label noise filtering techniques to improve monotonic classification.
Neurocomputing
José Ramón Cano, Julián Luengo, Salvador García
2019 J jnl
Monotonic classification: An overview on algorithms, performance measures and data sets.
Neurocomputing
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2018 Misc conf
A First Attempt on Monotonic Training Set Selection.
HAIS
José Ramón Cano, Salvador García
2018 — conf
Credal C4.5 with Refinement of Parameters.
IPMU (3)
Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral
2018 J jnl
Label Noise Filtering Techniques to Improve Monotonic Classification.
CoRR
José Ramón Cano, Julián Luengo, Salvador García
2018 J jnl
Monotonic classification: an overview on algorithms, performance measures and data sets.
CoRR
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2017 J jnl
CommuniMents: A Framework for Detecting Community Based Sentiments for Events.
Int. J. Semantic Web Inf. Syst.
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
2017 J jnl
MoNGEL: monotonic nested generalized exemplar learning.
Pattern Anal. Appl.
Javier García, Habib M. Fardoun, Daniyal M. Alghazzawi, José Ramón Cano, Salvador García
2017 J jnl
Prototype selection to improve monotonic nearest neighbor.
Eng. Appl. Artif. Intell.
José Ramón Cano, Naif R. Aljohani, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, Salvador García
2017 J jnl
Training set selection for monotonic ordinal classification.
Data Knowl. Eng.
José Ramón Cano, Salvador García
2016 Misc conf
A Nearest Hyperrectangle Monotonic Learning Method.
HAIS
Javier García, José Ramón Cano, Salvador García
2016 J jnl
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms.
Int. J. Comput. Intell. Syst.
Javier García, Adnan Al-bar, Naif R. Aljohani, José Ramón Cano, Salvador García
2013 J jnl
Analysis of data complexity measures for classification.
Expert Syst. Appl.
José Ramón Cano
2012 J jnl
Predictive-collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support.
Expert Syst. Appl.
José Ramón Cano
2012 J jnl
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study.
IEEE Trans. Pattern Anal. Mach. Intell.
Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera
2010 — ch.
A Review on Evolutionary Prototype Selection.
Intelligent Systems for Automated Learning and Adaptation
Salvador García, José Ramón Cano, Francisco Herrera
2009 J jnl
Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure.
Int. J. Pattern Recognit. Artif. Intell.
Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera
2008 J jnl
A memetic algorithm for evolutionary prototype selection: A scaling up approach.
Pattern Recognit.
Salvador García, José Ramón Cano, Francisco Herrera
2008 J jnl
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection.
Expert Syst. Appl.
José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García
2008 J jnl
Replacement strategies to preserve useful diversity in steady-state genetic algorithms.
Inf. Sci.
Manuel Lozano, Francisco Herrera, José Ramón Cano
2008 J jnl
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes.
Pattern Recognit. Lett.
José Ramón Cano, Salvador García, Francisco Herrera
2007 J jnl
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability.
Data Knowl. Eng.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2006 C conf
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems.
IDEAL
Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera
2006 C conf
Incorporating Knowledge in Evolutionary Prototype Selection.
IDEAL
Salvador García, José Ramón Cano, Francisco Herrera
2006 J jnl
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining.
Appl. Soft Comput.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2005 J jnl
Stratification for scaling up evolutionary prototype selection.
Pattern Recognit. Lett.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2003 J jnl
Linguistic modeling with hierarchical systems of weighted linguistic rules.
Int. J. Approx. Reason.
Rafael Alcalá, José Ramón Cano, Oscar Cordón, Francisco Herrera, Pedro Villar, Igor Zwir
2003 J jnl
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study.
IEEE Trans. Evol. Comput.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2002 — conf
A GRASP Algorithm for Clustering.
IBERAMIA
José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez
2002 J jnl
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.
José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez