Verónica Bolón-Canedo
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Computer Science
Why Is Verónica Bolón-Canedo Influential?
(Suggest an Edit or Addition)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.
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 Works
- 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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What Schools Are Affiliated With Verónica Bolón-Canedo?
Verónica Bolón-Canedo is affiliated with the following schools:
