Perfil

Cano de Amo,   José Ramón

ID ORCID: 0000-0001-9150-4113

Publicaciones

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

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

synthetic sample generation for label distribution learning

JOURNAL_ARTICLE

doi   10.1016/j.ins.2020.07.071

eid   2-s2.0-85089064225

2021

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

agglomerative constrained clustering through similarity and distance recalculation

BOOK

doi   10.1007/978-3-030-61705-9_35

eid   2-s2.0-85097047319

2020

similarity-based and iterative label noise filters for monotonic classification

CONFERENCE_PAPER

doi   2-s2.0-85108179854

eid   15301605

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

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

label noise filtering techniques to improve monotonic classification

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2018.05.131

eid   2-s2.0-85062996485

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

prototype selection to improve monotonic nearest neighbor

JOURNAL_ARTICLE

doi   10.1016/j.engappai.2017.02.006

eid   2-s2.0-85012982019

2017

CommuniMents: A Framework for Detecting Community Based Sentiments for Events

JOURNAL_ARTICLE

doi  

eid  

2017

training set selection for monotonic ordinal classification

JOURNAL_ARTICLE

doi   10.1016/j.datak.2017.10.003

eid   2-s2.0-85031799270

2017

mongel: monotonic nested generalized exemplar learning

JOURNAL_ARTICLE

doi   10.1007/s10044-015-0506-y

eid   2-s2.0-84938117770

2017

hyperrectangles selection for monotonic classification by using evolutionary algorithms

JOURNAL_ARTICLE

doi   10.1080/18756891.2016.1146536

eid   2-s2.0-84956612738

2016

a nearest hyperrectangle monotonic learning method

BOOK

doi   10.1007/978-3-319-32034-2_26

eid   2-s2.0-84964034434

2016

Analysis of data complexity measures for classification

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2013.02.025

eid   2-s2.0-84885023800

2013

Prototype selection for nearest neighbor classification: Taxonomy and empirical study

JOURNAL_ARTICLE

doi   10.1109/TPAMI.2011.142

eid   2-s2.0-84856161441

2012

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

Diagnose effective evolutionary prototype selection using an overlapping measure

JOURNAL_ARTICLE

doi   2-s2.0-74549133500

eid  

2009

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

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

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

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

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

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

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

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

BOOK

doi   2-s2.0-79951578271

eid  

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