Amparo Alonso Betanzos | Academic Influence

Amparo Alonso Betanzos's AcademicInfluence.com Rankings

Amparo Alonso Betanzos

Computer Science

#2311

World Rank

#2408

Historical Rank

Artificial Intelligence

#462

World Rank

#470

Historical Rank

Machine Learning

#4853

World Rank

#4910

Historical Rank

Database

#7829

World Rank

#8143

Historical Rank

computer-science Degrees

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Computer Science

Amparo Alonso Betanzos's Degrees

PhD Computer Science University of A Coruña
Masters Computer Science University of A Coruña
Bachelors Computer Science University of A Coruña

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Why Is Amparo Alonso Betanzos Influential?

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According to Wikipedia, Amparo Alonso-Betanzos is a Spanish computer scientist and president of the Spanish Association for Artificial Intelligence. Career She is a professor at University of A Coruña, where she leads the Laboratory for the Investigation and Development of Artificial Intelligence . Originally a chemical engineer, her research now focuses on artificial intelligence, specifically its medical applications.

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Amparo Alonso Betanzos'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)
Filter Methods for Feature Selection - A Comparative Study (2007) (296)
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)
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)
Automatic bearing fault diagnosis based on one-class ν-SVM (2013) (158)
Distributed feature selection: An application to microarray data classification (2015) (150)
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis (2006) (139)
Feature selection for high-dimensional data (2015) (132)
Data discretization: taxonomy and big data challenge (2016) (127)
An intelligent system for forest fire risk prediction and fire fighting management in Galicia (2003) (109)
Fast‐mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High‐Dimensional Big Data (2017) (107)
Feature selection for high-dimensional data (2016) (101)
Data classification using an ensemble of filters (2014) (81)
A new method for sleep apnea classification using wavelets and feedforward neural networks (2005) (80)
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark (2018) (71)
A framework for cost-based feature selection (2014) (71)
A Global Optimum Approach for One-Layer Neural Networks (2002) (66)
On developing an automatic threshold applied to feature selection ensembles (2018) (65)
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response (2005) (64)
Centralized vs. distributed feature selection methods based on data complexity measures (2017) (55)
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system (2002) (52)
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem (2009) (52)
Multispectral classification of grass weeds and wheat (Triticum durum) using linear and nonparametric functional discriminant analysis and neural networks (2008) (46)
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)
ESTER: an expert system for management of respiratory weaning therapy (1989) (43)
A robust incremental learning method for non-stationary environments (2011) (39)
A Methodology for Improving Tear Film Lipid Layer Classification (2014) (38)
A new convex objective function for the supervised learning of single-layer neural networks (2010) (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)
Power wind mill fault detection via one-class ν-SVM vibration signal analysis (2011) (35)
A comparison of performance of K-complex classification methods using feature selection (2016) (34)
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach (2015) (34)
Multithreaded and Spark parallelization of feature selection filters (2016) (34)
On the effectiveness of discretization on gene selection of microarray data (2010) (33)
Performance evaluation of unsupervised techniques in cyber-attack anomaly detection (2019) (33)
Distributed Correlation-Based Feature Selection in Spark (2019) (33)
One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments (2020) (31)
The NST-EXPERT project: the need to evolve (1995) (31)
On the scalability of feature selection methods on high-dimensional data (2017) (29)
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments (2015) (28)
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)
A Wrapper Method for Feature Selection in Multiple Classes Datasets (2009) (26)
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images (2000) (26)
Classification of computer intrusions using functional networks. A comparative study (2007) (25)
The PATRICIA project: a semantic-based methodology for intelligent monitoring in the ICU (1993) (25)
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness (2002) (23)
Adaptive pattern recognition in the analysis of cardiotocographic records (2001) (23)
A Neural Network Approach for Forestal Fire Risk Estimation (2002) (23)
Information analysis and validation of intelligent monitoring systems in intensive care units (1997) (22)
Recent Advances in Ensembles for Feature Selection (2018) (21)
Reducing dimensionality in a database of sleep EEG arousals (2011) (21)
Efficiency of local models ensembles for time series prediction (2011) (20)
Accelerating the convergence speed of neural networks learning methods using least squares (2003) (20)
Using a feature selection ensemble on DNA microarray datasets (2016) (19)
Fault detection via recurrence time statistics and one-class classification (2016) (19)
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios (2012) (19)
A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture (2007) (18)
Multiclass classifiers vs multiple binary classifiers using filters for feature selection (2010) (18)
Applying machine learning to detect early stages of cardiac remodelling and dysfunction. (2020) (17)
Ensemble Feature Selection for Rankings of Features (2015) (17)
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition (2007) (17)
Statistical dependence measure for feature selection in microarray datasets (2011) (16)
Large scale anomaly detection in mixed numerical and categorical input spaces (2019) (16)
Using Data Complexity Measures for Thresholding in Feature Selection Rankers (2016) (16)
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders (2017) (15)
A New Wrapper Method for Feature Subset Selection (2005) (14)
Linear Least-Squares Based Methods for Neural Networks Learning (2003) (14)
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset (2009) (14)
Community detection and Social Network analysis based on the Italian wars of the 15th century (2020) (13)
Exploring the consequences of distributed feature selection in DNA microarray data (2017) (13)
Foetos: an expert system for fetal assessment (1991) (13)
A study of performance on microarray data sets for a classifier based on information theoretic learning (2011) (13)
A Method for Time Series Prediction using a Combination of Linear Models (2008) (13)
A Distributed Feature Selection Approach Based on a Complexity Measure (2015) (13)
Optimizing novelty and diversity in recommendations (2018) (12)
Toward the scalability of neural networks through feature selection (2013) (12)
A unified pipeline for online feature selection and classification (2016) (12)
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization (2015) (12)
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study (1999) (12)
Stream change detection via passive-aggressive classification and Bernoulli CUSUM (2015) (12)
A Snort-based agent for a JADE multi-agent intrusion detection system (2009) (12)
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features (2015) (11)
An Approach to Intensive Care Monitoring That Combines Deterministic And Heuristic Techniques (1990) (11)
A scalable saliency-based Feature selection method with instance level information (2019) (11)
FOETOS in clinical practice: A retrospective analysis of its performance (1989) (11)
A measure of fault tolerance for functional networks (2004) (11)
A Review of Microarray Datasets: Where to Find Them and Specific Characteristics. (2019) (11)
An insight on complexity measures and classification in microarray data (2015) (10)
A new initialization method for neural networks using sensitivity analysis (2006) (10)
Self-organizing maps and functional networks for local dynamic modeling (2003) (10)
Empirically-Derived Behavioral Rules in Agent-Based Models Using Decision Trees Learned from Questionnaire Data (2017) (10)
Developing an electrical distribution monitoring system (1997) (10)
A scalable decision-tree-based method to explain interactions in dyadic data (2019) (10)
Testing Scenarios to Achieve Workplace Sustainability Goals Using Backcasting and Agent-Based Modeling (2017) (10)
Data complexity measures for analyzing the effect of SMOTE over microarrays (2016) (9)
Feature Selection Based on Sensitivity Analysis (2007) (9)
Challenges and Future Trends for Microarray Analysis. (2019) (9)
Agent-Based Modeling of Sustainable Behaviors (2017) (9)
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms (2002) (9)
Biases in feature selection with missing data (2019) (9)
Algorithmic challenges in big data analytics (2017) (9)
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks (2010) (9)
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios (2011) (9)
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks (2002) (8)
Scalable feature selection using ReliefF aided by locality‐sensitive hashing (2021) (8)
mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection (2014) (8)
A new supervised local modelling classifier based on information theory (2009) (8)
Accurate initialization of neural network weights by backpropagation of the desired response (2003) (8)
Feature Selection in DNA Microarray Classification (2015) (8)
Insights into distributed feature ranking (2019) (7)
Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability - The PAAMS Collection, 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Special Sessions (2015) (7)
Shear strength prediction using dimensional analysis and functional networks (2004) (7)
A distributed wrapper approach for feature selection (2013) (7)
PATRICIA: An expert system that incorporates a patient-oriented approach for the management of ICU patients (1992) (7)
Including Content-Based Methods in Peer-Assessment of Open-Response Questions (2015) (7)
Scalability analysis of lter-based methods for feature selection (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)
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test (2012) (7)
An ontology-based design for modelling case studies of everyday proenvironmental behaviour in the workplace (2012) (7)
Uncertainty Based Approach for Symbolic Classification of Numeric Variables in Intensive Care Units (1990) (7)
Scalability Analysis of ANN Training Algorithms with Feature Selection (2011) (6)
Feature Selection: From the Past to the Future (2022) (6)
Volume, variety and velocity in Data Science (2017) (6)
Implementing cognitive procedures in diagnostic processes (1989) (6)
A Decision-Making Model for Environmental Behavior in Agent-Based Modeling (2013) (5)
On the use of different base classifiers in multiclass problems (2017) (5)
A tool for agent communication in Mozart/Oz (2005) (5)
Functional Networks and Analysis of Variance for Feature Selection (2006) (5)
Evaluation of Ensembles for Feature Selection (2018) (5)
A connectionist approach to predict antenatal outcome (1992) (5)
Influence of internal values and social networks for achieving sustainable organizations (2014) (5)
A Critical Review of Feature Selection Methods (2015) (5)
A Minimum Volume Covering Approach with a Set of Ellipsoids (2013) (5)
Feature selection with limited bit depth mutual information for portable embedded systems (2020) (5)
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing (2017) (5)
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment (2012) (4)
Foundations of Feature Selection (2015) (4)
Feature Selection Applied to Microarray Data. (2019) (4)
NST expert: an intelligent program for NST interpretation (1989) (4)
Scalability Analysis of mRMR for Microarray Data (2014) (4)
Recursive Least Squares for an Entropy Regularized MSE Cost Function (2003) (4)
Information Theoretic Learning and local modeling for binary and multiclass classification (2012) (4)
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project (1998) (4)
One-class classification algorithm based on convex hull (2016) (4)
Designing Decision Trees for Representing Sustainable Behaviours in Agents (2015) (3)
Introduction to High-Dimensionality (2015) (3)
A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing (1997) (3)
A Measure of Noise Immunity for Functional Networks (2001) (3)
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark (2016) (3)
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis (2008) (3)
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning (2022) (3)
Toward an ensemble of filters for classification (2011) (3)
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing (2020) (3)
Local Modeling Classifier for Microarray Gene-Expression Data (2010) (3)
Obstetrical Decision-riaking Based On Predictive Expert Analysis (1991) (3)
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks (1998) (3)
Combining functional networks and sensitivity analysis as wrapper method for feature selection (2011) (3)
Intelligent Monitoring and Symbolic Representation of Clinical Knowledge: An Application in Acute Ventilatory Management (1992) (3)
Up-to-Date Feature Selection Methods for Scalable and Efficient Machine Learning (2013) (3)
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function (2003) (2)
Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula (2013) (2)
Paving the way for providing teaching feedback in automatic evaluation of open response assignments (2017) (2)
On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment (2015) (2)
Preprocessing in High Dimensional Datasets (2018) (2)
A Bayesian Neural Network Approach for Sleep Apnea Classification (2003) (2)
An Ergonomic Display for Maternal‐Fetal Monitoring During Labor (1989) (2)
EECB: a knowledge elicitation tool based on repertory grid and city block metric (1998) (2)
Implementing Uncertainty-based Prognostic Structures In NST-EXPERT (1990) (2)
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data (2021) (2)
Automated analog-to-digital conversion of graphical cardiotocographic records. (1995) (2)
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification (2014) (2)
Regression Tree Based Explanation for Anomaly Detection Algorithm (2020) (2)
Real-Time Tear Film Classification Through Cost-Based Feature Selection (2015) (2)
Feature Selection and Conversion Methods in KDD Cup 99 Dataset: A Comparison of Performance (2010) (2)
Learning features on tear film lipid layer classification (2015) (2)
An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition (2007) (2)
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures (2016) (1)
A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System (2010) (1)
How Agent-based modeling can help to foster sustainability projects (2022) (1)
Testing Different Ensemble Configurations for Feature Selection (2017) (1)
Distributed classification based on distances between probability distributions in feature space (2019) (1)
Proceedings of the 7th International Congress on Environmental Modelling and Software (2014) (1)
Interactions Matter: Modelling Everyday Pro-environmental Norm Transmission and Diffusion in Workplace Networks (2017) (1)
Advances in Artificial Intelligence: 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, September 17-20, ... / Lecture Notes in Artificial Intelligence) (2013) (1)
A distributed approach for classification using distance metrics (2017) (1)
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency (2022) (1)
One-class classifier based on extreme value statistics (2012) (1)
Mutual information for improving the efficiency of the SCH algorithm (2017) (1)
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction (2005) (1)
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns (2001) (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)
Dealing with heterogeneity in the context of distributed feature selection for classification (2020) (1)
Interpretable Market Segmentation on High Dimension Data (2018) (1)
VISC: cardiotocographic signals visualization system (1993) (1)
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information (2020) (1)
Preprocessing in Big Data: New challenges for discretization and feature selection (2017) (1)
Computers in ICU monitoring: An intelligent semantic-based method (1991) (1)
Creating Visions of the Future: the Use of Back-Casting Scenarios in Defining Change in Universities (2012) (1)
Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences (2022) (1)
An expert system approach to antenatal assessment (1996) (1)
A JADE-Based Framework for Developing Evolutionary Multi-Agent Systems (2009) (1)
A Minimum Volume Covering Approach With a Set of Ellipsoids. (2013) (1)
A delayed Elastic-Net approach for performing adversarial attacks (2021) (1)
Machine learning for medical applications (2016) (1)
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems (2020) (1)
Recovering Missing Data with Functional and Bayesian Networks (2009) (1)
Multispectral classification of spectral signatures of wheat, Avena sterilis, Phalaris brachystachys, Lolium rigidum and Polypogon monspeliensis using Fisher Discriminant Analysis, Non-Parametric Analysis, and Neural Networks. (2008) (0)
Editor's Note (1993) (0)
Special issue on medical applications of expert systems (1993) (0)
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis (2001) (0)
A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks (2007) (0)
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces (2022) (0)
Computerized simulation of human walking on the sagittal plane (1996) (0)
A temporal strategy for intelligent patient monitoring in the intensive care units (1993) (0)
On the scalability of feature selection methods on high-dimensional data (2017) (0)
Optimizing novelty and diversity in recommendations (2018) (0)
Low-precision feature selection on microarray data: an information theoretic approach (2022) (0)
Towards the implementation of intelligent structures in intensive care monitoring: the advantages of the symbolic pre-processing (1990) (0)
Feature Selection (2009) (0)
Dealing with inter-expert variability in Retinopathy of Prematurity through machine learning (2015) (0)
Editor's Note (2002) (0)
A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques (1997) (0)
Analysis of imputation bias for feature selection with missing data (2018) (0)
Medical Expert Systems (1999) (0)
Dealing with heterogeneity in the context of distributed feature selection for classification (2020) (0)
Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations (2020) (0)
A Fast Classification Algorithm Based on Local Models (2006) (0)
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization (2014) (0)
REPORT ON THE CONCEPTUAL MODEL OF THE SMARTEES SIMULATION AND DATA TYPES TO BE INCLUDED (2018) (0)
A hybrid intelligent-classical approach for the segmentation of digital images of burned patients (1996) (0)
P3819Machine learning for predicting early left ventricular abnormalities in the general population (2019) (0)
Experiencia de adaptación y plan de mejora de la materia de Sistemas Inteligentes en la titulación de Grado en Ingeniería Informática (2013) (0)
Knowledge Representation In NST-expert (1990) (0)
Information Theoretic Learning and local modeling for binary and multiclass classification (2012) (0)
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss (2021) (0)
Shape Completion Using Deep Boltzmann Machine ZhengWang and QingbiaoWu (2017) (0)
An Add-On for Managing Behaviours with Priority in JADE (2006) (0)
New tools for forest fire fighting and forest ecosystems recovery (2009) (0)
Pathways, Transitions and Backcasting for Sustainable Lifestyles and Sustainable Communities (2014) (0)
Agent‐based modelling of theories of everyday proenvironmental behavior (2013) (0)
Green Unions, Green Workplaces: Unions and their Members Making Sense of the Transition Towards a 'low Carbon' Economy in the Uk (2012) (0)
Ensembles for Feature Selection (2018) (0)
Content-Based Methods in Peer Assessment of Open-Response Questions in MOOCs to Grade Students as Authors and as Graders (2016) (0)
Application of Feature Selection to Real Problems (2015) (0)
Modeling consumption of contents and advertising in online newspapers (2014) (0)
Foetos: un sistema experto para el diagnóstico, pronostico y terapia del estado fetal (1988) (0)
Foundations of Ensemble Learning (2018) (0)
An Approach to Validate Intelligent Monitoring Systems in Critical Care (2007) (0)
Visions of the Past and Future: Participatory Approaches to Identifying Sustainable Pathways in Organizations (2012) (0)
SUPPORTING TRANSITIONS TO SUSTAINABLE LIFESTYLES AND WORKPLACES: A NEW RESEARCH AGENDA (Part 1) (2014) (0)
Perceived Everyday Sustainable Practices at Work of Employees on Different Levels of Decision-Making Within a Romanian Firm (2012) (0)
Computers In ICU Monitoring: An Intelligent Method (1991) (0)
Other Ensemble Approaches (2018) (0)
Qualitative spatial representation in agent-based models (2014) (0)
An Agent-Based Model to Simulate the Spread of a Virus Based on Social Behavior and Containment Measures (2020) (0)
E2E-FS: An End-to-End Feature Selection Method for Neural Networks (2020) (0)
Sustainable Personalisation and Explainability in Dyadic Data Systems (2022) (0)
Symbolic processing in intelligent monitoring (1989) (0)
Combination of Outputs (2018) (0)
Applications of Ensembles Versus Traditional Approaches: Experimental Results (2018) (0)
Do we need hundreds of classifiers or a good feature selection? (2020) (0)
ESANN 2011 19th European Symposium on Artificial Neural Networks (2011) (0)
Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity (1999) (0)

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