S. Barro

发表

Using Prior Knowledge to Improve Reinforcement Learning in Mobile Robotics

Carlos V. Regueiro, D. Moreno, R. Iglesias, 2004 .

S. Barro, J. Presedo, P. Félix, 2002 .

Fuzzy K-nearest neighbor classifiers for ventricular arrhythmia detection.

J. M. Salceda, S. Barro, D. Cabello, 1991, International journal of bio-medical computing.

Intelligent telemonitoring of critical-care patients.

S. Barro, M. Lama, J. Presedo, 1999, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Do we need hundreds of classifiers to solve real world classification problems?

Senén Barro, Manuel Fernández Delgado, Eva Cernadas, 2014, J. Mach. Learn. Res..

Fuzzy temporal rules: a rule-based approach for fuzzy temporal knowledge representation and reasoning

Manuel Mucientes, Alberto Bugarín, Purificación Cariñena, 2002 .

Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

S. Barro, Alberto Bugarín-Diz, A. Ramos-Soto, 2013, IEEE Transactions on Fuzzy Systems.

Some Comments on the Semantics of a Fuzzy Constraint (Invited Paper)

S. Barro, A. Otero, 2005 .

Some reflections on the semantic of a fuzzy constraint

S. Barro, P. Félix, A. Otero, 2003 .

Modeling the representation of time from a fuzzy perspective

Roque Marín, S. Barro, A. Bosch, 1994 .

Enhanced fuzzy temporal rules and their projection onto fuzzy Petri nets

Senén Barro, Alberto Bugarín, Purificación Cariñena, 1999 .

SUTIL: intelligent ischemia monitoring system.

S Barro, J Presedo, S. Barro, 1997, International journal of medical informatics.

Detection of abnormality in the electrocardiogram without prior knowledge by using the quantisation error of a self-organising map, tested on the European ischaemia database

C. A. Perazzo, S. Barro, P. Willshaw, 2006, Medical and Biological Engineering and Computing.

A proposal for the fuzzy evaluation of ischaemic episodes

S. Barro, J. Presedo, J. Vila, 1995, Computers in Cardiology 1995.

Time-frequency analysis of heart-rate variability

S. Barro, M. Fernandez-Delgado, J. Presedo, 1997, IEEE Engineering in Medicine and Biology Magazine.

Fuzzy Logic in Medicine

S. Barro, R. Marín, 2002 .

Authentication of Galician (N.W. Spain) quality brand potatoes using metal analysis. Classical pattern recognition techniques versus a new vector quantization-based classification procedure.

S. Barro, R. Peña, C. Herrero, 2001, The Analyst.

A Control Model for Distributed Blackboard

S. Barro, J. Palma, R. Marín, 1999 .

Sleep and Wakefulness in the Cuneate Nucleus: A Computational Study

Senén Barro, Eduardo Sánchez Vila, Antonio Canedo, 2003, IWANN.

More then 40 years of fuzzy sets

Senén Barro, Claudio Moraga, Paulo Félix, 2005 .

Concept Drift Detection and Adaptation for Robotics and Mobile Devices in Federated and Continual Settings

Senén Barro, Carlos V. Regueiro, Fernando E. Casado, 2020, WAF.

Patient management in CCUs: Need for an intelligent interpretation of signals

Senén Barro, Jesús María Rodríguez Presedo, Ramón Ruiz, 1993 .

Systolic Implementation of DBT-Transformed Fuzzy Control Systems

S. Barro, J. Presedo, R. Ruíz, 1992 .

A Fuzzy Temporal Rule-Based Approach for the Design of Behaviors in Mobile Robotics

Senén Barro, Manuel Mucientes, Alberto Bugarín, 2002 .

Beyond keyboard and mouse: a remote interface for a classroom management system

Adolfo Riera, Senén Barro, Eduardo Sánchez, 2004 .

More than classical patient monitoring: steps towards intelligent approaches

S. Barro, R. Ruíz, J. Mira, 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

Letter from Academia The learning cube

S. Barro, 2015 .

An extensive experimental survey of regression methods

Senén Barro, Manuel Fernández Delgado, Sadi Alawadi, 2019, Neural Networks.

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

Senén Barro, Manuel Fernández Delgado, Eva Cernadas, 2018, Comput. Electron. Agric..

Walking Recognition in Mobile Devices

Senén Barro, Roberto Iglesias, Carlos V. Regueiro, 2020, Sensors.

Addressing the flaws of current critical alarms: a fuzzy constraint satisfaction approach

Senén Barro, Abraham Otero, Paulo Félix, 2009, Artif. Intell. Medicine.

Fuzzy constraint networks for signal pattern recognition

Senén Barro, Roque Marín, Paulo Félix, 2003, Artif. Intell..

A model to perform knowledge-based temporal abstraction over multiple signals

Senén Barro, Abraham Otero, Paulo Félix, 2003, 10th International Symposium on Temporal Representation and Reasoning, 2003 and Fourth International Conference on Temporal Logic. Proceedings..

A Fuzzy Model for Pattern Recognition in the Evolution of Patients

Senén Barro, Paulo Félix, Manuel Lama, 2002 .

A fuzzy model for the representation and recognition of linguistically described trends

Senén Barro, Paulo Félix, S. Barro, 2001, Intell. Data Anal..

A model and a language for the fuzzy representation and handling of time

Senén Barro, José Mira, Alfonso Rodriguez Patón, 1994 .

On the handling of time in intelligent monitoring of CCU patients

J. Mira, S. Barro, R. Marin, 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

On Knowledge Based Systems in CCU's: Monitoring and Patients Follow-up

Senén Barro, Roque Marín, José Mira, 1991 .

Fast array thinning using global optimization methods

S. Barro, R. Iglesias, M. Fernandez Delgado, 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach

Senén Barro, Alberto Bugarín, Alejandro Ramos-Soto, 2015, CAEPIA.

Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

Senén Barro, Alberto Bugarín, Alejandro Ramos-Soto, 2013, IEEE Transactions on Fuzzy Systems.

A fuzzy constraint satisfaction approach for signal abstraction

Senén Barro, Abraham Otero, Paulo Félix, 2009, Int. J. Approx. Reason..

TRACE, a graphical tool for the acquisition and detection of signal patterns

Senén Barro, Abraham Otero, Paulo Félix, 2009, Expert Syst. Appl..

Fuzzy constraint satisfaction approach for landmark recognition in mobile robotics

Senén Barro, Abraham Otero, Paulo Félix, 2006, AI Commun..

A Hierarchical Pattern Matching Procedure for Signal Abstraction

Senén Barro, Abraham Otero, Paulo Félix, 2005, CAEPIA.

A tool for the analysis and synthesis of alarms in patient monitoring

Abraham Otero, S. Barro, P. F ´ elix, 2004 .

Trend detection based on a fuzzy temporal profile model

Senén Barro, Roque Marín, Paulo Félix, 1999, Artif. Intell. Eng..

A Fuzzy Linear Approach to Recognising Signal Profiles

Senén Barro, Roque Marín, Paulo Félix, 1998, IEA/AIE.

Characterization of Galician (N.W. Spain) quality brand potatoes: a comparison study of several pattern recognition techniques.

S Barro, P M Padín, R M Peña, 2001, The Analyst.

Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images

Senén Barro, José Manuel Cotos, José Ramon Rios Viqueira, 2017, Neural Computing and Applications.

Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

José Neves, Senén Barro, Jorge Ribeiro, 2014, Neural Networks.

Design of a fuzzy controller in mobile robotics using genetic algorithms

Senén Barro, Manuel Mucientes, Alberto Bugarín, 2007, Appl. Soft Comput..

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems

Senén Barro, Manuel Fernández Delgado, Sadi Alawadi, 2019, Neural Computing and Applications.

A framework for fuzzy quantification models analysis

Senén Barro, Alberto Bugarín, Purificación Cariñena, 2003, IEEE Trans. Fuzzy Syst..

Collaborative and continual learning for classification tasks in a society of devices pdf

Roberto Iglesias, Carlos V. Regueiro, Fernando E. Casado, 2020, ArXiv.

A structural knowledge-based proposal for the identification and characterization of apnoea episodes

Senén Barro, Abraham Otero, Paulo Félix, 2012, Appl. Soft Comput..

A new neural network for adaptive pattern recognition of multichannel input signals

Manuel Lama, S. Barro, Jesús María Rodríguez Presedo, 2000 .

Algorithmic sequential decision-making in the frequency domain for life threatening ventricular arrhythmias and imitative artefacts: a diagnostic system.

S Barro, R Ruiz, J Mira, 1989, Journal of biomedical engineering.

A computational model of cuneothalamic projection neurons

Senén Barro, Eduardo Sánchez, Antonio Canedo, 2003, Network.

Backpropagation Multilayer Perceptron: A Modular Implementation

Senén Barro, Alberto Bugarín, A. Yáñez, 1991, IWANN.

Towards Textual Reporting in Learning Analytics Dashboards

Senén Barro, Manuel Mucientes, Manuel Lama, 2015, 2015 IEEE 15th International Conference on Advanced Learning Technologies.

Fuzzy Control Architectures

Senén Barro, Alberto Bugarín, Ramon Ruíz, 1994, J. Intell. Fuzzy Syst..

Fuzzy sets across the natural language generation pipeline

Senén Barro, Alberto Bugarín, Alejandro Ramos-Soto, 2016, Progress in Artificial Intelligence.

Autonomous and fast robot learning through motivation

Senén Barro, Roberto Iglesias, Carlos V. Regueiro, 2007, Robotics Auton. Syst..

New approach to get autonomous and fast robot learning processes

Senén Barro, Roberto Iglesias, Carlos V. Regueiro, 2007, ICINCO-RA.

Fuzzy reasoning supported by Petri nets

Senén Barro, Alberto Bugarín, S. Barro, 1994, IEEE Trans. Fuzzy Syst..

Compacting rules for fuzzy production system computation

S. Barro, A. Bugariin, Ramón Ruiz, 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

Element failure detection in linear antenna arrays using case-based reasoning

S. Barro, M. Fernandez-Delgado, R. Iglesias, 2008, IEEE Antennas and Propagation Magazine.

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

Roberto Iglesias, Carlos V. Regueiro, Fernando E. Casado, 2021, Inf. Fusion.

On the role of linguistic descriptions of data in the building of natural language generation systems

A. Ramos-Soto, A. Bugarín, S. Barro, 2016, Fuzzy Sets Syst..

Techniques and Applications of Fuzzy Systems Based on the Petri-Net Formalism

Senén Barro, Alberto Bugarín, Purificación Cariñena, 1999 .

Reasoning with truth values on compacted fuzzy chained rules

Senén Barro, Alberto Bugarín, S. Barro, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Current State of Critical Patient Monitoring and Outstanding Challenges

Senén Barro, Abraham Otero, Paulo Félix, 2010 .

Fuzzy temporal rules for mobile robot guidance in dynamic environments

Senén Barro, Manuel Mucientes, Alberto Bugarín, 2001, IEEE Trans. Syst. Man Cybern. Part C.

A new approach for TU complex characterization

Senén Barro, Yi Gang, Xosé Antón Vila Sobrino, 2000, IEEE Transactions on Biomedical Engineering.

Concept drift detection and adaptation for federated and continual learning pdf

Roberto Iglesias, Carlos V. Regueiro, Fernando E. Casado, 2021, Multimedia Tools and Applications.

Implementation of a Basic Reactive Behavior in Mobile Robotics Through Artificial Neural Networks

Senén Barro, Roberto Iglesias, Carlos V. Regueiro, 1997, IWANN.

Systolic Implementation of Hopfield Networks of Arbitrary Size

Senén Barro, Alberto Bugarín, A. Yáñez, 1991, IWANN.

Learning from the Individuals and the Crowd in Robotics and Mobile Devices

Senén Barro, Roberto Iglesias, Carlos V. Regueiro, 2019, ROBOT.

Semantic Linking of Learning Object Repositories to DBpedia

Senén Barro, Juan Carlos Vidal, Alberto Bugarín, 2012, J. Educ. Technol. Soc..

Interactive Natural Language Technology for Explainable Artificial Intelligence

J. M. Alonso, Kees van Deemter, S. Barro, 2020, TAILOR.

Cortical modulation of dorsal column nuclei: A computational study

Senén Barro, Eduardo Sánchez, Antonio Canedo, 2006, Journal of Computational Neuroscience.

A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus

Senén Barro, Eduardo Sánchez Vila, Antonio Canedo, 2001, IWANN.

Cycles of ECG parameter evolution during ischemic episodes

S. Barro, J. Presedo, E.A. Fernandez, 1996, Computers in Cardiology 1996.

Fuzzy modelling of the expert's knowledge in ECG-based ischaemia detection

Senén Barro, Michele Emdin, Francisco Palacios Ortega, 1996, Fuzzy Sets Syst..

Quick extreme learning machine for large-scale classification

S. Barro, M. Fernández-Delgado, E. Cernadas, 2022, Neural Computing and Applications.

Evaluation of a Data‐To‐Text System for Verbalizing a Learning Analytics Dashboard

Senén Barro, Alberto Bugarín, Adriana Gewerc, 2017, Int. J. Intell. Syst..

Fast Support Vector Classification for Large-Scale Problems

S. Barro, M. Fernández-Delgado, E. Cernadas, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semantic Linking of a Learning Object Repository to DBpedia

Senén Barro, Juan Carlos Vidal, Alberto Bugarín, 2011, 2011 IEEE 11th International Conference on Advanced Learning Technologies.

Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

S. Barro, F. Ares-Pena, M. Fernandez-Delgado, 2009, IEEE Transactions on Antennas and Propagation.

Computing with perceptions for the linguistic description of complex phenomena through the analysis of time series data

Senén Barro, Alberto Bugarín, Alejandro Ramos-Soto, 2014 .

Ensemble and continual federated learning for classification tasks

Carlos V. Regueiro, R. Iglesias, S. Barro, 2023, Machine Learning.

Fast SVC for large-scale classification problems.

S. Barro, M. Delgado, E. Cernadas, 2021, IEEE transactions on pattern analysis and machine intelligence.

AI literacy in K-12: a systematic literature review

S. Barro, Alejandro Catalá, Beatriz Cebreiro, 2023, International Journal of STEM Education.

Applications of heart rate variability analysis in the stratification of arrhythmia risks in acute myocardial infarction

S. Barro, J. Vila, F. Palacios, 1993, Proceedings of Computers in Cardiology Conference.

Particle filter robot localisation through robust fusion of laser, WiFi, compass, and a network of external cameras

Senén Barro, Roberto Iglesias, Víctor Alvarez-Santos, 2016, Inf. Fusion.

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin

Senén Barro, Jorge Ribeiro, Manuel Fernández Delgado, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

S. Barro, M. Fernández-Delgado, E. Cernadas, 2022, Neural Processing Letters.

A Probabilistic Quantifier Fuzzification Mechanism: The Model and Its Evaluation for Information Retrieval

Senén Barro, Alberto Bugarín, David E. Losada, 2005, IEEE Transactions on Fuzzy Systems.

Grammatic representation of beat sequences for fuzzy arrhythmia diagnosis.

S Barro, R Ruiz, J Presedo, 1991, International journal of bio-medical computing.

Fuzzy beat labeling for intelligent arrhythmia monitoring.

S Barro, R Ruiz, J Mira, 1990, Computers and biomedical research, an international journal.

A comparison of several neural networks to predict the execution times in injection molding production for automotive industry

Senén Barro, M. Reboreda, Manuel Fernández Delgado, 2010, Neural Computing and Applications.

Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories

Senén Barro, Manuel Fernández Delgado, Dinani Gomes Amorim, 2007, IEEE Transactions on Neural Networks.

A vigilance-free ART network with general geometry internal categories

S. Barro, M. Fernandez-Delgado, S. Barro, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Internal Categories with Irregular Geometry and Overlapping in ART Networks

Senén Barro, Manuel Fernández Delgado, Dinani Gomes, 2005, CAEPIA.

Classifying multichannel ECG patterns with an adaptive neural network.

Carlos V. Regueiro, S Barro, M Fernández-Delgado, 1998, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Constrained Clustering Algorithms: Practical Issues and Applications

Thesis, Álvaro Barreiro García, Tese De Doutoramento, 2013 .