Verónica Bolón-Canedo | Academic Influence

Verónica Bolón-Canedo's AcademicInfluence.com Rankings

Verónica Bolón-Canedo

Computer Science

#8091

World Rank

#8500

Historical Rank

Data Mining

#284

World Rank

#285

Historical Rank

Algorithms

#485

World Rank

#491

Historical Rank

Machine Learning

#5317

World Rank

#5384

Historical Rank

computer-science Degrees

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Computer Science

Why Is Verónica Bolón-Canedo Influential?

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According to Wikipedia, Verónica Bolón-Canedo is a Spanish computer scientist whose research concerns feature selection in machine learning, with applications including medical diagnosis, oil spill detection, and automated educational assessment. She is a professor at the University of A Coruña.

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Verónica Bolón-Canedo's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

A review of feature selection methods on synthetic data (2013) (620)
A review of microarray datasets and applied feature selection methods (2014) (512)
Ensembles for feature selection: A review and future trends (2019) (262)
Recent advances and emerging challenges of feature selection in the context of big data (2015) (249)
A review of feature selection methods in medical applications (2019) (248)
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset (2011) (197)
Ensemble feature selection: Homogeneous and heterogeneous approaches (2017) (187)
An ensemble of filters and classifiers for microarray data classification (2012) (159)
Distributed feature selection: An application to microarray data classification (2015) (150)
Feature selection for high-dimensional data (2015) (132)
Data discretization: taxonomy and big data challenge (2016) (127)
Fast‐mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High‐Dimensional Big Data (2017) (107)
Feature selection for high-dimensional data (2016) (101)
Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis. (2015) (94)
Data classification using an ensemble of filters (2014) (81)
Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis. (2016) (80)
A framework for cost-based feature selection (2014) (71)
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark (2018) (71)
On developing an automatic threshold applied to feature selection ensembles (2018) (65)
Centralized vs. distributed feature selection methods based on data complexity measures (2017) (55)
Testing Different Ensemble Configurations for Feature Selection (2017) (44)
On the use of feature selection to improve the detection of sea oil spills in SAR images (2017) (43)
A Methodology for Improving Tear Film Lipid Layer Classification (2014) (38)
Feature selection in image analysis: a survey (2019) (37)
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset (2009) (35)
Can classification performance be predicted by complexity measures? A study using microarray data (2017) (35)
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach (2015) (34)
A comparison of performance of K-complex classification methods using feature selection (2016) (34)
Multithreaded and Spark parallelization of feature selection filters (2016) (34)
Performance evaluation of unsupervised techniques in cyber-attack anomaly detection (2019) (33)
On the effectiveness of discretization on gene selection of microarray data (2010) (33)
Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry (2019) (31)
On the scalability of feature selection methods on high-dimensional data (2017) (29)
Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches. (2018) (27)
Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning (2015) (26)
Recent Advances in Ensembles for Feature Selection (2018) (21)
Using a feature selection ensemble on DNA microarray datasets (2016) (19)
Multiclass classifiers vs multiple binary classifiers using filters for feature selection (2010) (18)
Ensemble Feature Selection for Rankings of Features (2015) (17)
Statistical dependence measure for feature selection in microarray datasets (2011) (16)
Using Data Complexity Measures for Thresholding in Feature Selection Rankers (2016) (16)
A study of performance on microarray data sets for a classifier based on information theoretic learning (2011) (13)
Exploring the consequences of distributed feature selection in DNA microarray data (2017) (13)
A Distributed Feature Selection Approach Based on a Complexity Measure (2015) (13)
A unified pipeline for online feature selection and classification (2016) (12)
Toward the scalability of neural networks through feature selection (2013) (12)
Toward parallel feature selection from vertically partitioned data (2014) (11)
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features (2015) (11)
A Review of Microarray Datasets: Where to Find Them and Specific Characteristics. (2019) (11)
A scalable saliency-based Feature selection method with instance level information (2019) (11)
An insight on complexity measures and classification in microarray data (2015) (10)
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity (2015) (10)
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios (2011) (9)
Scaling Up Feature Selection: A Distributed Filter Approach (2013) (9)
Algorithmic challenges in big data analytics (2017) (9)
Challenges and Future Trends for Microarray Analysis. (2019) (9)
Biases in feature selection with missing data (2019) (9)
Data complexity measures for analyzing the effect of SMOTE over microarrays (2016) (9)
Parallel feature selection for distributed-memory clusters (2019) (8)
Feature Selection in DNA Microarray Classification (2015) (8)
mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection (2014) (8)
Scalability analysis of lter-based methods for feature selection (2012) (7)
Insights into distributed feature ranking (2019) (7)
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test (2012) (7)
A review of feature selection methods on synthetic data (2012) (7)
Machine learning techniques to predict different levels of hospital care of CoVid-19 (2021) (7)
A distributed wrapper approach for feature selection (2013) (7)
Feature and kernel learning (2015) (7)
Feature Selection: From the Past to the Future (2022) (6)
Scalability Analysis of ANN Training Algorithms with Feature Selection (2011) (6)
Predictive Maintenance in the Metallurgical Industry: Data Analysis and Feature Selection (2018) (5)
Evaluation of Ensembles for Feature Selection (2018) (5)
A Critical Review of Feature Selection Methods (2015) (5)
On the use of different base classifiers in multiclass problems (2017) (5)
Feature selection with limited bit depth mutual information for portable embedded systems (2020) (5)
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment (2012) (4)
Feature Selection Applied to Microarray Data. (2019) (4)
Scalability Analysis of mRMR for Microarray Data (2014) (4)
Foundations of Feature Selection (2015) (4)
Introduction to High-Dimensionality (2015) (3)
Feature Selection in Big Image Datasets (2020) (3)
Local Modeling Classifier for Microarray Gene-Expression Data (2010) (3)
Toward an ensemble of filters for classification (2011) (3)
CUDA-JMI: Acceleration of feature selection on heterogeneous systems (2020) (3)
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning (2022) (3)
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark (2016) (3)
Up-to-Date Feature Selection Methods for Scalable and Efficient Machine Learning (2013) (3)
Learning features on tear film lipid layer classification (2015) (2)
Novel feature selection methods for high dimensional data (2014) (2)
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings (2019) (2)
Preprocessing in High Dimensional Datasets (2018) (2)
Real-Time Tear Film Classification Through Cost-Based Feature Selection (2015) (2)
Machine Learning Methods for Predicting League of Legends Game Outcome (2022) (2)
Paving the way for providing teaching feedback in automatic evaluation of open response assignments (2017) (2)
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification (2014) (2)
On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment (2015) (2)
Feature Selection and Conversion Methods in KDD Cup 99 Dataset: A Comparison of Performance (2010) (2)
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures (2016) (1)
Feature Selection for Big Visual Data: Overview and Challenges (2018) (1)
Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences (2022) (1)
Machine learning for medical applications (2016) (1)
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization (2020) (1)
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information (2020) (1)
Dealing with heterogeneity in the context of distributed feature selection for classification (2020) (1)
Distributed classification based on distances between probability distributions in feature space (2019) (1)
Testing Different Ensemble Configurations for Feature Selection (2017) (1)
A delayed Elastic-Net approach for performing adversarial attacks (2021) (1)
How important is data quality? Best classifiers vs best features (2021) (1)
Feature Selection with Limited Bit Depth Mutual Information for Embedded Systems (2018) (1)
Preprocessing in Big Data: New challenges for discretization and feature selection (2017) (1)
A distributed approach for classification using distance metrics (2017) (1)
Dealing with heterogeneity in the context of distributed feature selection for classification (2020) (0)
Do all roads lead to Rome? Studying distance measures in the context of machine learning (2023) (0)
Other Ensemble Approaches (2018) (0)
Uncertainty in the diagnosis of Pre-plus Disease in Retinopathy of Prematurity (2015) (0)
On the scalability of feature selection methods on high-dimensional data (2017) (0)
Reduced precision discretization based on information theory (2022) (0)
Low-precision feature selection on microarray data: an information theoretic approach (2022) (0)
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? (2021) (0)
Application of Feature Selection to Real Problems (2015) (0)
The role of feature selection in personalized recommender systems (2022) (0)
Feature selection in image analysis: a survey (2019) (0)
Ensembles for Feature Selection (2018) (0)
Case Studies to Demonstrate Real-World Applications in Ophthalmic Image Analysis (2021) (0)
Plus disease: is it more than meets the ICROP? (2016) (0)
Analysis of imputation bias for feature selection with missing data (2018) (0)
Dealing with inter-expert variability in Retinopathy of Prematurity through machine learning (2015) (0)
Feature selection for transfer learning using particle swarm optimization and complexity measures (2022) (0)
Combination of Outputs (2018) (0)
Applications of Ensembles Versus Traditional Approaches: Experimental Results (2018) (0)
Less is more: Low-precision feature selection for wearables (2022) (0)
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss (2021) (0)
Foundations of Ensemble Learning (2018) (0)
ESANN 2011 19th European Symposium on Artificial Neural Networks (2011) (0)
Do we need hundreds of classifiers or a good feature selection? (2020) (0)
When the best reviews are not placed between extremes (2022) (0)

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Other Resources About Verónica Bolón-Canedo

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What Schools Are Affiliated With Verónica Bolón-Canedo?

Verónica Bolón-Canedo is affiliated with the following schools: