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ORCIDJosé Ramón Cano
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2020 – today
- 2024
[j28]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: 102064 (2024)- 2023
- [i4]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 abs/2302.14060 (2023) - [i3]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 abs/2303.00522 (2023) - 2022
- [j27]Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García:
3SHACC: Three stages hybrid agglomerative constrained clustering. Neurocomputing 490: 441-461 (2022) - [c10]Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García:
Monotonic Constrained Clustering: A First Approach. IEA/AIE 2022: 725-736 - 2021
- [j26]Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García:
Enhancing instance-level constrained clustering through differential evolution. Appl. Soft Comput. 108: 107435 (2021) - [j25]Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García:
Decomposition-Fusion for Label Distribution Learning. Inf. Fusion 66: 64-75 (2021) - [j24]Manuel González, Julián Luengo, José Ramón Cano, Salvador García:
Synthetic Sample Generation for Label Distribution Learning. Inf. Sci. 544: 197-213 (2021) - [j23]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: 100939 (2021) - 2020
- [j22]Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García:
DILS: Constrained clustering through dual iterative local search. Comput. Oper. Res. 121: 104979 (2020) - [c9]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: 333-341 - [c8]Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García:
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. HAIS 2020: 424-436 - [c7]José Ramón Cano, Julián Luengo, Salvador García:
Similarity-based and Iterative Label Noise Filters for Monotonic Classification. HICSS 2020: 1-9
2010 – 2019
- 2019
- [j21]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: 168-182 (2019) - [j20]José Ramón Cano, Julián Luengo, Salvador García:
Label noise filtering techniques to improve monotonic classification. Neurocomputing 353: 83-95 (2019) - 2018
- [c6]José Ramón Cano, Salvador García:
A First Attempt on Monotonic Training Set Selection. HAIS 2018: 277-288 - [c5]Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral:
Credal C4.5 with Refinement of Parameters. IPMU (3) 2018: 739-747 - [i2]José Ramón Cano, Julián Luengo, Salvador García:
Label Noise Filtering Techniques to Improve Monotonic Classification. CoRR abs/1810.08914 (2018) - [i1]José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García:
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR abs/1811.07155 (2018) - 2017
- [j19]José Ramón Cano, Salvador García:
Training set selection for monotonic ordinal classification. Data Knowl. Eng. 112: 94-105 (2017) - [j18]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: 128-135 (2017) - [j17]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): 87-108 (2017) - [j16]Javier García, Habib M. Fardoun, Daniyal M. Alghazzawi, José Ramón Cano, Salvador García:
MoNGEL: monotonic nested generalized exemplar learning. Pattern Anal. Appl. 20(2): 441-452 (2017) - 2016
- [j15]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): 184-201 (2016) - [c4]Javier García, José Ramón Cano, Salvador García:
A Nearest Hyperrectangle Monotonic Learning Method. HAIS 2016: 311-322 - 2013
- [j14]José Ramón Cano:
Analysis of data complexity measures for classification. Expert Syst. Appl. 40(12): 4820-4831 (2013) - 2012
- [j13]José Ramón Cano:
Predictive-collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support. Expert Syst. Appl. 39(4): 4044-4048 (2012) - [j12]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): 417-435 (2012) - 2010
- [p1]Salvador García, José Ramón Cano, Francisco Herrera:
A Review on Evolutionary Prototype Selection. Intelligent Systems for Automated Learning and Adaptation 2010: 92-113
2000 – 2009
- 2009
- [j11]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): 1527-1548 (2009) - 2008
- [j10]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): 1949-1965 (2008) - [j9]Manuel Lozano, Francisco Herrera, José Ramón Cano:
Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178(23): 4421-4433 (2008) - [j8]Salvador García, José Ramón Cano, Francisco Herrera:
A memetic algorithm for evolutionary prototype selection: A scaling up approach. Pattern Recognit. 41(8): 2693-2709 (2008) - [j7]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): 2156-2164 (2008) - 2007
- [j6]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): 90-108 (2007) - 2006
- [j5]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): 323-332 (2006) - [c3]Salvador García, José Ramón Cano, Francisco Herrera:
Incorporating Knowledge in Evolutionary Prototype Selection. IDEAL 2006: 1358-1366 - [c2]Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera:
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. IDEAL 2006: 1415-1423 - 2005
- [j4]José Ramón Cano, Francisco Herrera, Manuel Lozano:
Stratification for scaling up evolutionary prototype selection. Pattern Recognit. Lett. 26(7): 953-963 (2005) - 2003
- [j3]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): 187-215 (2003) - [j2]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): 561-575 (2003) - 2002
- [j1]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): 235-242 (2002) - [c1]José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez:
A GRASP Algorithm for Clustering. IBERAMIA 2002: 214-223
Coauthor Index
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