Vernica Boln-Canedo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
14
Active years
2009–2026
Best venue rank
B
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | SMOTE k-out: Enhancing Class Separability through Outer Synthetic Sampling. | Vernica Boln-Canedo, Jos Luis Morillo-Salas, Laura Morn-Fernndez, Amparo Alonso-Betanzos |
| 2026 | ESANN | Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data. | Samuel Surez-Marcote, Abhijeet Vishwasrao, Ricardo Vinuesa, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2025 | ESANN | Do not get lost in projection: finding the right distance for meaningful UMAP embeddings. | Eva Blanco-Mallo, Vernica Boln-Canedo, Beatriz Remeseiro |
| 2025 | ICANN | Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2025 | IDEAL | Mitigating Overfitting in Recommender Systems via Intra-domain Transfer Learning. | Eva Blanco-Mallo, Pablo Prez-Nez, Vernica Boln-Canedo, Beatriz Remeseiro |
| 2025 | IDEAL | Fast and Frugal Transfer Learning via Precomputed Features and Adaptive Normalization. | Daniel Vila-Cruz, Vernica Boln-Canedo, Laura Morn-Fernndez |
| 2024 | ICMLA | Mutual Information-Based Feature Selection for Federated Learning Environments. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | ESANN | Green Machine Learning. | Vernica Boln-Canedo, Laura Morn-Fernndez, Brais Cancela, Amparo Alonso-Betanzos |
| 2023 | ESANN | Efficient feature selection for domain adaptation using Mutual Information Maximization. | Guillermo Castillo Garca, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | ESANN | Automated green machine learning for condition-based maintenance. | Afonso Loureno, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2023 | ESANN | Logarithmic division for green feature selection: an information-theoretic approach. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | IDEAL | A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. | Eva Blanco-Mallo, Vernica Boln-Canedo, Beatriz Remeseiro |
| 2022 | ESANN | The role of feature selection in personalized recommender systems. | Roger Bagu-Masans, Vernica Boln-Canedo, Beatriz Remeseiro |
| 2022 | ESANN | Feature selection for transfer learning using particle swarm optimization and complexity measures. | Vernica Boln-Canedo, Guillermo Castillo Garca, Laura Morn-Fernndez |
| 2022 | IJCNN | When the best reviews are not placed between extremes. | Eva Blanco-Mallo, Joo Carneiro, Goreti Marreiros, Beatriz Remeseiro, Vernica Boln-Canedo |
| 2022 | IJCNN | Less is more: Low-precision feature selection for wearables. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2022 | KES | Reduced precision discretization based on information theory. | Brais Ares, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2021 | IWANN | Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? | Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2020 | ESANN | Do we need hundreds of classifiers or a good feature selection? | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2020 | ICMLA | Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization. | Hassen Dhrif, Vernica Boln-Canedo, Stefan Wuchty |
| 2020 | ICPR | A delayed Elastic-Net approach for performing adversarial attacks. | Brais Cancela, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2020 | ICPR | Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss. | Brais Cancela, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2019 | DATA | Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings. | Carlos Eiras-Franco, Miguel Flores, Vernica Boln-Canedo, Sonia Zaragoza, Rubn Fernndez-Casal, Salvador Naya, Javier Tarro-Saavedra |
| 2018 | ESANN | Analysis of imputation bias for feature selection with missing data. | Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Vernica Boln-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed |
| 2018 | WorldCIST | Predictive Maintenance in the Metallurgical Industry: Data Analysis and Feature Selection. | Marta Fernandes, Alda Canito, Vernica Boln-Canedo, Lus Conceio, Isabel Praa, Goreti Marreiros |
| 2017 | ESANN | Algorithmic challenges in big data analytics. | Vernica Boln-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martnez-Rego, Amparo Alonso-Betanzos |
| 2017 | ESANN | A distributed approach for classification using distance metrics. | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2017 | IJCNN | Paving the way for providing teaching feedback in automatic evaluation of open response assignments. | Vernica Boln-Canedo, Jorge Dez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos |
| 2017 | IJCNN | Exploring the consequences of distributed feature selection in DNA microarray data. | Vernica Boln-Canedo, Konstantinos Sechidis, Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Gavin Brown |
| 2016 | ESANN | Machine learning for medical applications. | Vernica Boln-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurlio Campilho |
| 2016 | ESANN | Data complexity measures for analyzing the effect of SMOTE over microarrays. | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2016 | ESANN | Using a feature selection ensemble on DNA microarray datasets. | Borja Seijo-Pardo, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2015 | ESANN | Feature and kernel learning. | Vernica Boln-Canedo, Michele Donini, Fabio Aiolli |
| 2015 | ESANN | On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment. | Vernica Boln-Canedo, Alba Fernndez, Amparo Alonso-Betanzos, Marcos Ortega, Manuel G. Penedo |
| 2015 | ESANN | Learning features on tear film lipid layer classification. | Beatriz Remeseiro, Vernica Boln-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo |
| 2015 | IJCNN | An insight on complexity measures and classification in microarray data. | Vernica Boln-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos |
| 2015 | IWANN | A Distributed Feature Selection Approach Based on a Complexity Measure. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |
| 2015 | IWANN | Ensemble Feature Selection for Rankings of Features. | Borja Seijo-Pardo, Vernica Boln-Canedo, Iago Porto-Daz, Amparo Alonso-Betanzos |
| 2014 | ESANN | Toward parallel feature selection from vertically partitioned data. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Joana Cervio-Rabual |
| 2014 | ICAART | Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification. | Vernica Boln-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Noelia Snchez-Maroo |
| 2014 | ICAART | mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection. | Vernica Boln-Canedo, Beatriz Remeseiro, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |
| 2014 | ICAART | Scalability Analysis of mRMR for Microarray Data. | Diego Rego-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2013 | ESANN | A distributed wrapper approach for feature selection. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |
| 2012 | ICTAI | Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. | Vernica Boln-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Antonio Mosquera Gonzlez, Manuel G. Penedo, Noelia Snchez-Maroo |
| 2012 | PAAMS | An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. | Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Vernica Boln-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. Garca-Mira |
| 2011 | ESANN | Statistical dependence measure for feature selection in microarray datasets. | Vernica Boln-Canedo, Sohan Seth, Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Jos C. Prncipe |
| 2011 | IJCNN | On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |
| 2011 | ISDA | Toward an ensemble of filters for classification. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |
| 2010 | ICANN | Local Modeling Classifier for Microarray Gene-Expression Data. | Iago Porto-Daz, Vernica Boln-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero |
| 2010 | IJCNN | On the effectiveness of discretization on gene selection of microarray data. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |
| 2010 | IJCNN | Multiclass classifiers vs multiple binary classifiers using filters for feature selection. | Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Pablo Garcia-Gonzalez, Vernica Boln-Canedo |
| 2009 | IJCNN | A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset. | Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos |