Verónica Bolón‐Canedo

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	E2E-FS: An End-to-End Feature Selection Method for Neural Networks	2022	Brais Cancela Verónica Bolón‐Canedo Amparo Alonso‐Betanzos
+	Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency	2022	Iñigo López-Riobóo Botana Verónica Bolón‐Canedo Bertha Guijarro‐Berdiñas Amparo Alonso‐Betanzos
+	On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems	2020	Eva Blanco-Mallo Beatriz Remeseiro Verónica Bolón‐Canedo Amparo Alonso‐Betanzos
+ PDF Chat	Feature selection with limited bit depth mutual information for portable embedded systems	2020	Laura Morán-Fernández Konstantinos Sechidis Verónica Bolón‐Canedo Amparo Alonso‐Betanzos Gavin Brown
+	On the effectiveness of convolutional autoencoders on image-based personalized recommender systems	2020	Eva Blanco-Mallo Beatriz Remeseiro Verónica Bolón‐Canedo Amparo Alonso‐Betanzos
+	E2E-FS: An End-to-End Feature Selection Method for Neural Networks	2020	Brais Cancela Verónica Bolón‐Canedo Amparo Alonso‐Betanzos
+ PDF Chat	A scalable saliency-based feature selection method with instance-level information	2019	Brais Cancela Verónica Bolón‐Canedo Amparo Alonso‐Betanzos João Gama
+	Biases in feature selection with missing data	2019	Borja Seijo-Pardo Amparo Alonso‐Betanzos Kristin P. Bennett Verónica Bolón‐Canedo Julie Josse Mehreen Saeed Isabelle Guyon
+ PDF Chat	Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings	2019	Carlos Eiras‐Franco Miguel Flores Verónica Bolón‐Canedo Sonia Zaragoza Rubén Fernández‐Casal Salvador Naya Javier Tarrío‐Saavedra
+	Analysis of imputation bias for feature selection with missing data.	2018	Borja Seijo-Pardo Amparo Alonso‐Betanzos Kristin P. Bennett Verónica Bolón‐Canedo Isabelle Guyon Julie Josse Mehreen Saeed
+	An Information Theoretic Feature Selection Framework for Big Data under Apache Spark	2016	Sergio Ramírez‐Gallego Héctor Mouriño‐Talín David Martínez‐Rego Verónica Bolón‐Canedo José M. Benítez Amparo Alonso‐Betanzos Francisco Herrera
+	An Information Theoretic Feature Selection Framework for Big Data under Apache Spark	2016	Sergio Ramírez‐Gallego Héctor Mouriño‐Talín David Martínez‐Rego Verónica Bolón‐Canedo José M. Benítez Amparo Alonso‐Betanzos Francisco Herrera

Common Coauthors

Coauthor	Papers Together
Amparo Alonso‐Betanzos	11
Brais Cancela	3
Héctor Mouriño‐Talín	2
Francisco Herrera	2
Isabelle Guyon	2
Julie Josse	2
David Martínez‐Rego	2
José M. Benítez	2
Mehreen Saeed	2
Kristin P. Bennett	2
Borja Seijo-Pardo	2
Sergio Ramírez‐Gallego	2
Eva Blanco-Mallo	2
Beatriz Remeseiro	2
João Gama	1
Sonia Zaragoza	1
Javier Tarrío–Saavedra	1
Bertha Guijarro‐Berdiñas	1
Iñigo López-Riobóo Botana	1
Rubén Fernández‐Casal	1
Konstantinos Sechidis	1
Laura Morán-Fernández	1
Salvador Naya	1
Carlos Eiras‐Franco	1
Gavin Brown	1
Miguel Flores	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	3
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	3
+ PDF Chat	Mutual Information between Discrete and Continuous Data Sets	2014	Brian C. Ross	3
+ PDF Chat	Recoverability and Testability of Missing Data: Introduction and Summary of Results	2013	Judea Pearl Karthika Mohan	2
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+ PDF Chat	Understanding deep image representations by inverting them	2015	Aravindh Mahendran Andrea Vedaldi	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+	Estimating attributes: Analysis and extensions of RELIEF	1994	Igor Kononenko	2
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	2
+ PDF Chat	VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback	2016	Ruining He Julian McAuley	2
+	Benchmarking Relief-Based Feature Selection Methods.	2017	Ryan J. Urbanowicz Randal S. Olson Peter Schmitt Melissa Meeker Jason H. Moore	2
+ PDF Chat	Missing data: Our view of the state of the art.	2002	Joseph L. Schafer John W. Graham	2
+ PDF Chat	Review: A gentle introduction to imputation of missing values	2006	A. Rogier T. Donders Geert J. M. G. van der Heijden Theo Stijnen Karel G.M. Moons	2
+ PDF Chat	Tree based machine learning framework for predicting ground state energies of molecules	2016	Burak Himmetoḡlu	2
+ PDF Chat	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification	2015	Adriana Romero Carlo Gatta Gustau Camps‐Valls	2
+ PDF Chat	Machine Learning at the Network Edge: A Survey	2021	M. G. Sarwar Murshed Christopher Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain	2
+	Inference and missing data	1976	Donald B. Rubin	2
+ PDF Chat	Recovering the number of clusters in data sets with noise features using feature rescaling factors	2015	Renato Cordeiro de Amorim Christian Hennig	2
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	2
+	Regularization Paths for Generalized Linear Models via Coordinate Descent	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Statistical Comparisons of Classifiers over Multiple Data Sets	2006	Janez Demšar	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	2
+	Applied Missing Data Analysis	2010	Craig K. Enders	2
+	Algorithm AS 89: The Upper Tail Probabilities of Spearman's Rho	1975	D. J. Best David E. Roberts	2
+ PDF Chat	A scalable saliency-based feature selection method with instance-level information	2019	Brais Cancela Verónica Bolón‐Canedo Amparo Alonso‐Betanzos João Gama	1
+ PDF Chat	EIE: Efficient Inference Engine on Compressed Deep Neural Network	2016	Song Han Xingyu Liu Huizi Mao Jing Pu Ardavan Pedram Mark Horowitz William J. Dally	1
+	MapReduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail!	2012	Jimmy Lin	1
+	Recurrent Models of Visual Attention	2014	Volodymyr Mnih Nicolas Heess Alex Graves Koray Kavukcuoglu	1
+	Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining	2017	Ryan J. Urbanowicz Randal S. Olson Peter Schmitt Melissa Meeker Jason H. Moore	1
+	Concrete Autoencoders for Differentiable Feature Selection and Reconstruction	2019	Abubakar Abid Muhammad Fatih Balin James Zou	1
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach	2017	Giorgio Roffo Simone Melzi Umberto Castellani Alessandro Vinciarelli	1
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	1
+ PDF Chat	Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants	2018	Eduardo Aguilar Beatriz Remeseiro Marc Bolaños Petia Radeva	1
+	Learning to Explain: An Information-Theoretic Perspective on Model Interpretation	2018	Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Importance Estimation for Neural Network Pruning	2019	Pavlo Molchanov Arun Mallya Stephen Tyree Iuri Frosio Jan Kautz	1
+	An Interior-Point Method for Large-Scale -Regularized Least Squares	2007	Seung-Jean Kim Kwangmoo Koh Michael Lustig Stephen Boyd Dimitry Gorinevsky	1
+ PDF Chat	Infinite Feature Selection: A Graph-based Feature Filtering Approach	2020	Giorgio Roffo Simone Melzi Umberto Castellani Alessandro Vinciarelli Marco Cristani	1
+	AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks	2020	Jiancheng Lyu Shuai Zhang Yingyong Qi Jack Xin	1
+ PDF Chat	DHP: Differentiable Meta Pruning via HyperNetworks	2020	Yawei Li Shuhang Gu Kai Zhang Luc Van Gool Radu Timofte	1
+	Statistical Analysis with Missing Data	1988	Subir Ghosh Roderick J. A. Little Donald B. Rubin	1
+	Control Charts for Multivariate Processes	1995	Regina Y. Liu	1
+	Flexible Imputation of Missing Data	2012	Stef van Buuren	1