科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
A
Aida de Haro-García
universidad de cordoba
13
H指数
35
论文数
598
被引数
0
相关解读
订阅
收录论文
15
发表时间
发表时间
IF
被引数
False flag: An evolutionary false labeling approach for multilabel classification
虚假标记:一种用于多标签分类的进化假标签方法
Applied Soft Computing
IF
6.6
2026-02-27
0
OA
AI
Nicolás E. García-Pedrajas; José M. Cuevas-Muñoz; Manuel Mendoza-Hurtado; Javier Pérez-Rodríguez; Aida de Haro-García
分享
收藏
Label repopulation through evolutionary computation for addressing challenging multilabel problems
通过进化计算实现标签再繁殖,以解决具有挑战性的多标签问题
Applied Soft Computing
IF
6.6
2025-07-30
0
OA
AI
Nicolás García-Pedrajas; Juan A. Romero del Castillo; Aida de Haro-García
分享
收藏
A thorough experimental comparison of multilabel methods for classification performance
PATTERN RECOGNITION
IF
7.6
2024-07-01
2
OA
AI
Garcia-Pedrajas, Nicolas E.; Cuevas-Munoz, Jose M.; Cerruela-Garcia, Gonzalo; de Haro-Garcia, Aida
分享
收藏
Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems
APPLIED SOFT COMPUTING
IF
6.6
2024-07-01
2
OA
AI
Garcia-Pedrajas, Nicolas; Cuevas-Munoz, Jose M.; de Haro-Garcia, Aida
分享
收藏
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification
巴黎: 部分实例和训练集选择。一种新的可扩展的多标签分类方法
INFORMATION FUSION
IF
15.5
2023-07-01
2
OA
AI
Garcia-Pedrajas, Nicolas; Cuevas-Munoz, Jose M.; del Castillo, Juan A. Romero; de Haro-Garcia, Aida
分享
收藏
Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors
IEEE TRANSACTIONS ON CYBERNETICS
IF
10.5
2022-05-01
5
PRE
AI
de Haro-Garcia, Aida; Perez-Parras Toledano, Jose; Cerruela-Garcia, Gonzalo; Garcia-Pedrajas, Nicolas
分享
收藏
Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
IF
3.4
2021-11-01
2
OA
AI
Perez-Rodriguez, Javier; de Haro-Garcia, Aida; Garcia-Pedrajas, Nicolas
分享
收藏
Influence of feature rankers in the construction of molecular activity prediction models
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
IF
3.1
2019-12-31
1
PRE
AI
Cerruela-Garcia, Gonzalo; Perez-Parra Toledano, Jose; De Haro-Garcia, Aida; Garcia-Pedrajas, Nicolas
分享
收藏
Instance selection based on boosting for instance-based learners
基于实例的学习者基于boosting的实例选择
PATTERN RECOGNITION
IF
7.6
2019-12-01
21
PRE
AI
de Haro-Garcia, Aida; Cerruela-Garcia, Gonzalo; Garcia-Pedrajas, Nicolas
分享
收藏
Improving the combination of results in the ensembles of prototype selectors
NEURAL NETWORKS
IF
6.3
2019-10-01
8
PRE
AI
Cerruela-Garcia, Gonzalo; de Haro-Garcia, Aida; Perez-Parras Toledano, Jose; Garcia-Pedrajas, Nicolas
分享
收藏
A general framework for boosting feature subset selection algorithms
INFORMATION FUSION
IF
15.5
2018-11-01
15
OA
AI
Perez-Rodriguez, Javier; de Haro-Garcia, Aida; Romero del Castillo, Juan A.; Garcia-Pedrajas, Nicolas
分享
收藏
Combining three strategies for evolutionary instance selection for instance-based learning
结合三种策略进行基于实例的学习的进化实例选择
SWARM AND EVOLUTIONARY COMPUTATION
IF
8.5
2018-10-01
14
PRE
AI
de Haro-Garcia, Aida; Perez-Rodriguez, Javier; Garcia-Pedrajas, Nicolas
分享
收藏
Boosting instance selection algorithms
Boosting实例选择算法
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2014-09-01
40
PRE
AI
Garcia-Pedrajas, Nicolas; de Haro-Garcia, Aida
分享
收藏
OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets
OligoIS: 类不平衡数据集的可扩展实例选择
IEEE TRANSACTIONS ON CYBERNETICS
IF
10.5
2013-02-01
41
PRE
AI
Garcia-Pedrajas, Nicolas; Perez-Rodriguez, Javier; de Haro-Garcia, Aida
分享
收藏
Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts
民主实例选择: 基于分类器集成概念的线性复杂度实例选择算法
artificial intelligence review
IF
4.6
2010-04-01
76
OA
AI
Garcia-Osorio, Cesar; de Haro-Garcia, Aida; Garcia-Pedrajas, Nicolas
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
N
Nicolás García‐Pedrajas
H 指数: 32 · 论文数: 130
C
César García‐Osorio
H 指数: 25 · 论文数: 112
G
Gonzalo Cerruela García
H 指数: 15 · 论文数: 144
J
Javier Pérez-Rodríguez
H 指数: 12 · 论文数: 41
J
J.A. Romero-del-Castillo
H 指数: 6 · 论文数: 23
查看更多