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Laura Morán-Fernández
Laura Morán-Fernández
Assistant Professor, CITIC, Universidade da Coruña
在 udc.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
Centralized vs. distributed feature selection methods based on data complexity measures
L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos
Knowledge-Based Systems 117, 27-45, 2017
802017
Can classification performance be predicted by complexity measures? A study using microarray data
L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos
Knowledge and Information Systems 51, 1067-1090, 2017
522017
A review of microarray datasets: where to find them and specific characteristics
A Alonso-Betanzos, V Bolón-Canedo, L Morán-Fernández, ...
Microarray Bioinformatics, 65-85, 2019
282019
Feature selection: From the past to the future
V Bolón-Canedo, A Alonso-Betanzos, L Morán-Fernández, B Cancela
Advances in Selected Artificial Intelligence Areas: World Outstanding Women …, 2022
232022
Machine Learning Methods for Predicting League of Legends Game Outcome
JA Hitar-García, L Morán-Fernández, V Bolón-Canedo
IEEE Transactions on Games 15 (2), 171-181, 2022
232022
Potential role of natriuretic response to furosemide stress test during acute heart failure
P Caravaca Pérez, J Nuche, L Moran Fernandez, D Lora, ...
Circulation: Heart Failure 14 (6), e008166, 2021
192021
How important is data quality? Best classifiers vs best features
L Morán-Fernández, V Bólon-Canedo, A Alonso-Betanzos
Neurocomputing 470, 365-375, 2022
182022
Evaluation of a nurse-led intervention program in heart failure: A randomized trial
C Ortiz-Bautista, L Morán-Fernández, M Díaz-García, ...
Medicina Clínica (English Edition) 152 (11), 431-437, 2019
172019
A time efficient approach for distributed feature selection partitioning by features
L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos
Conference of the Spanish association for artificial intelligence, 245-254, 2015
172015
An insight on complexity measures and classification in microarray data
V Bolon-Canedo, L Moran-Fernandez, A Alonso-Betanzos
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
172015
Spanish heart transplant registry. 29th official report of the Spanish Society of Cardiology Working Group on Heart Failure
F González-Vílchez, L Almenar-Bonet, MG Crespo-Leiro, ...
Revista Española de Cardiología (English Edition) 71 (11), 952-960, 2018
132018
Feature selection with limited bit depth mutual information for portable embedded systems
L Moran-Fernandez, K Sechidis, V Bolon-Canedo, A Alonso-Betanzos, ...
Knowledge-Based Systems 197, 105885, 2020
122020
Predicting short-and long-term outcomes in adult heart transplantation: clinical utility of MELD-XI score
C Ortiz-Bautista, MD García-Cosio, D Lora-Pablos, I Ponz-de Antonio, ...
Transplantation Proceedings 50 (10), 3710-3714, 2018
122018
Data complexity measures for analyzing the effect of SMOTE over microarrays.
L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos
ESANN, 2016
92016
Do all roads lead to Rome? Studying distance measures in the context of machine learning
E Blanco-Mallo, L Morán-Fernández, B Remeseiro, V Bolón-Canedo
Pattern Recognition 141, 109646, 2023
62023
The development of chronic diuretic resistance can be predicted during a heart-failure hospitalization. Results from the REDIHF registry
Z Blázquez-Bermejo, N Farré, M Llagostera, P Caravaca Perez, ...
Plos one 15 (10), e0240098, 2020
62020
Feature selection applied to microarray data
A Alonso-Betanzos, V Bolón-Canedo, L Morán-Fernández, B Seijo-Pardo
Microarray Bioinformatics, 123-152, 2019
52019
On the use of different base classifiers in multiclass problems
L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos
Progress in Artificial Intelligence 6, 315-323, 2017
52017
Feature selection for domain adaptation using complexity measures and swarm intelligence
G Castillo-García, L Morán-Fernández, V Bolón-Canedo
Neurocomputing 548, 126422, 2023
42023
Do we need hundreds of classifiers or a good feature selection?
L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos
ESANN, 399-404, 2020
42020
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