Publicaciones Orcid CEATIC

enhancing instance-level constrained clustering through differential evolution

journal-article

doi 10.1016/j.asoc.2021.107435

eid

2021

3shacc: three stages hybrid agglomerative constrained clustering

journal-article

doi 10.1016/j.neucom.2021.12.018

eid 2-s2.0-85121365714

2021

decomposition-fusion for label distribution learning

journal-article

doi 10.1016/j.inffus.2020.08.024

eid 2-s2.0-85090599676

2021

me-meoa/d<sub>cc</sub>: multiobjective constrained clustering through decomposition-based memetic elitism

journal-article

doi 10.1016/j.swevo.2021.100939

eid 2-s2.0-85109796969

2021

synthetic sample generation for label distribution learning

journal-article

doi 10.1016/j.ins.2020.07.071

eid 2-s2.0-85089064225

2021

agglomerative constrained clustering through similarity and distance recalculation

book

doi 10.1007/978-3-030-61705-9_35

eid 2-s2.0-85097047319

2020

dils: constrained clustering through dual iterative local search

journal-article

doi 10.1016/j.cor.2020.104979

eid 2-s2.0-85084348077

2020

improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism

conference-paper

doi 10.1145/3377930.3390187

eid 2-s2.0-85091750146

2020

prolsfeo-ldl: prototype selection and label- specific feature evolutionary optimization for label distribution learning

journal-article

doi 10.3390/app10093089

eid 2-s2.0-85085093149

2020

similarity-based and iterative label noise filters for monotonic classification

conference-paper

doi 2-s2.0-85108179854

eid 15301605

2020

label noise filtering techniques to improve monotonic classification

journal-article

doi 10.1016/j.neucom.2018.05.131

eid 2-s2.0-85062996485

2019

monotonic classification: an overview on algorithms, performance measures and data sets

journal-article

doi 10.1016/j.neucom.2019.02.024

eid 2-s2.0-85063066844

2019

a first attempt on monotonic training set selection

book

doi 10.1007/978-3-319-92639-1_23

eid 2-s2.0-85048871332

2018

credal c4.5 with refinement of parameters

book

doi 10.1007/978-3-319-91479-4_61

eid 2-s2.0-85048031773

2018

communiments: a framework for detecting community based sentiments for events

journal-article

doi 10.4018/IJSWIS.2017040106

eid 2-s2.0-85012216656

2017

mongel: monotonic nested generalized exemplar learning

journal-article

doi 10.1007/s10044-015-0506-y

eid 2-s2.0-84938117770

2017

prototype selection to improve monotonic nearest neighbor

journal-article

doi 10.1016/j.engappai.2017.02.006

eid 2-s2.0-85012982019

2017

training set selection for monotonic ordinal classification

journal-article

doi 10.1016/j.datak.2017.10.003

eid 2-s2.0-85031799270

2017

a nearest hyperrectangle monotonic learning method

book

doi 10.1007/978-3-319-32034-2_26

eid 2-s2.0-84964034434

2016

hyperrectangles selection for monotonic classification by using evolutionary algorithms

journal-article

doi 10.1080/18756891.2016.1146536

eid 2-s2.0-84956612738

2016

analysis of data complexity measures for classification

journal-article

doi 10.1016/j.eswa.2013.02.025

eid 2-s2.0-84885023800

2013

predictive-collaborative model as recovery and validation tool. case of study: psychiatric emergency department decision support

journal-article

doi 10.1016/j.eswa.2011.09.098

eid 2-s2.0-82255162579

2012

prototype selection for nearest neighbor classification: taxonomy and empirical study

journal-article

doi 10.1109/TPAMI.2011.142

eid 2-s2.0-84856161441

2012

a review on evolutionary prototype selection: an empirical study of performance and efficiency

book

doi 10.4018/978-1-60566-798-0.ch005

eid 2-s2.0-84899265523

2009

diagnose effective evolutionary prototype selection using an overlapping measure

journal-article

doi 2-s2.0-74549133500

eid

2009

a memetic algorithm for evolutionary prototype selection: a scaling up approach

journal-article

doi 10.1016/j.patcog.2008.02.006

eid 2-s2.0-42749092345

2008

making cn2-sd subgroup discovery algorithm scalable to large size data sets using instance selection

journal-article

doi 10.1016/j.eswa.2007.08.083

eid 2-s2.0-48749106976

2008

replacement strategies to preserve useful diversity in steady-state genetic algorithms

journal-article

doi 10.1016/j.ins.2008.07.031

eid 2-s2.0-52949139054

2008

subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes

journal-article

doi 10.1016/j.patrec.2008.08.001

eid 2-s2.0-53949099623

2008

evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability

journal-article

doi 10.1016/j.datak.2006.01.008

eid 2-s2.0-33845982223

2007

on the combination of evolutionary algorithms and stratified strategies for training set selection in data mining

journal-article

doi 10.1016/j.asoc.2005.02.006

eid 2-s2.0-33644641221

2006

a proposal of evolutionary prototype selection for class imbalance problems

book

doi 2-s2.0-33750564022

eid

2006

incorporating knowledge in evolutionary prototype selection

book

doi 2-s2.0-33750568801

eid

2006

stratification for scaling up evolutionary prototype selection

journal-article

doi 10.1016/j.patrec.2004.09.043

eid 2-s2.0-17444379003

2005

using evolutionary algorithms as instance selection for data reduction in kdd: an experimental study

journal-article

doi 10.1109/TEVC.2003.819265

eid 2-s2.0-0347763609

2003

linguistic modeling with hierarchical systems of weighted linguistic rules

journal-article

doi 10.1016/S0888-613X(02)00083-X

eid 2-s2.0-0037310742

2003

a grasp algorithm for clustering

conference-paper

doi 10.1007/3-540-36131-6_22

eid 2-s2.0-79951578271

2002

a greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using k-means as a local search procedure

journal-article

doi 2-s2.0-0037877983

eid

2002

Perfil

Cano de Amo, José Ramón

Publicaciones

enhancing instance-level constrained clustering through differential evolution

3shacc: three stages hybrid agglomerative constrained clustering

decomposition-fusion for label distribution learning

me-meoa/d<sub>cc</sub>: multiobjective constrained clustering through decomposition-based memetic elitism

synthetic sample generation for label distribution learning

agglomerative constrained clustering through similarity and distance recalculation

dils: constrained clustering through dual iterative local search

improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism

prolsfeo-ldl: prototype selection and label- specific feature evolutionary optimization for label distribution learning

similarity-based and iterative label noise filters for monotonic classification

label noise filtering techniques to improve monotonic classification

monotonic classification: an overview on algorithms, performance measures and data sets

a first attempt on monotonic training set selection

credal c4.5 with refinement of parameters

communiments: a framework for detecting community based sentiments for events

mongel: monotonic nested generalized exemplar learning

prototype selection to improve monotonic nearest neighbor

training set selection for monotonic ordinal classification

a nearest hyperrectangle monotonic learning method

hyperrectangles selection for monotonic classification by using evolutionary algorithms

analysis of data complexity measures for classification

predictive-collaborative model as recovery and validation tool. case of study: psychiatric emergency department decision support

prototype selection for nearest neighbor classification: taxonomy and empirical study

a review on evolutionary prototype selection: an empirical study of performance and efficiency

diagnose effective evolutionary prototype selection using an overlapping measure

a memetic algorithm for evolutionary prototype selection: a scaling up approach

making cn2-sd subgroup discovery algorithm scalable to large size data sets using instance selection

replacement strategies to preserve useful diversity in steady-state genetic algorithms

subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes

evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability

on the combination of evolutionary algorithms and stratified strategies for training set selection in data mining

a proposal of evolutionary prototype selection for class imbalance problems

incorporating knowledge in evolutionary prototype selection

stratification for scaling up evolutionary prototype selection

using evolutionary algorithms as instance selection for data reduction in kdd: an experimental study

linguistic modeling with hierarchical systems of weighted linguistic rules

a grasp algorithm for clustering

a greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using k-means as a local search procedure