Isaac Martín de Diego

发表

Person Identification Based on Visual Analysis of Soft-Biometric Features in Surveillance Environments

Daniela Moctezuma, Cristina Conde, Isaac Martín de Diego, 2013, IbPRIA.

Subjective data arrangement using clustering techniques for training expert systems

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2019, Expert Syst. Appl..

Controlling a Wheelchair Through Head Movement Through Artificial Vision and Using Speech Recognition

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2012, ICETE.

Methods for the combination of kernel matrices within a support vector framework

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2009, Machine Learning.

Random forest explainability using counterfactual sets

Javier M. Moguerza, Isaac Martín de Diego, Alberto Fernández-Isabel, 2020, Inf. Fusion.

Face Recognition-based Presentation Attack Detection in a Two-step Segregated Automated Border Control e-Gate - Results of a Pilot Experience at Adolfo Suárez Madrid-Barajas Airport

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2017, SECRYPT.

Local Linear Approximation for Kernel Methods: The Railway Kernel

Isaac Martín de Diego, Javier González, Alberto Muñoz, 2006, CIARP.

Person detection in surveillance environment with HoGG: Gabor filters and Histogram of Oriented Gradient

Daniela Moctezuma, Cristina Conde, Isaac Martín de Diego, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Face Recognition in Uncontrolled Environments, Experiments in an Airport

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, ICETE.

Técnicas de reconocimiento automático de emociones

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2006 .

Outlier trajectory detection through a context-aware distance

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2018, Pattern Analysis and Applications.

Unified Performance Measure for Binary Classification Problems

Javier M. Moguerza, Isaac Martín de Diego, Jorge Navarro, 2020, IDEAL.

Combination of kernels applied to face verification

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Subjective Traffic Safety Experts' Knowledge for Driving-Risk Definition

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2014, IEEE Transactions on Intelligent Transportation Systems.

Detection system the position of the hands of a driver

Isaac Martín de Diego, Enrique Cabello Pardos, Cristina Conde Vilda, 2012 .

Context-Aware Distance for Anomalous Human Trajectories Detection

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2017, IbPRIA.

A Quality of Experience Management Framework for Mobile Users

Javier M. Moguerza, Isaac Martín de Diego, Alberto Fernández-Isabel, 2019, Wirel. Commun. Mob. Comput..

Combining Machine Learning and Symbolic Representation of Time Series for Classification of Behavioural Patterns

Isaac Martín de Diego, Felipe Ortega, Paula Carballo Pérez, 2019, ICSLT 2019.

Support Vector Machine Classifiers for Asymmetric Proximities

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2003, ICANN.

Development of Computer Algorithms to Control a Weelchair through the Movement of the Head by Artificial Vision

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2012, SIGMAP.

Face verification with a kernel fusion method

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2010, Pattern Recognit. Lett..

Lessons learnt in non-supervised record of real crossings

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2015 .

Detection and Tracking of Driver's Hands in Real Time

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2010, CIARP.

InCC: Evading Interception and Inspection by Mimicking Traffic in Network Flows

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2013, ICETE.

Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification

LinLin Shen, Li Bai, Cristina Conde, 2007, MCS.

Face Presentation Attack Detection using Biologically-inspired Features

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2017, VISIGRAPP.

Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System

LinLin Shen, Li Bai, Cristina Conde, 2007, IDEAL.

Event based visual codification in automotive environments

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Automated border control e-gates and facial recognition systems

Daniela Moctezuma, Cristina Conde, Isaac Martín de Diego, 2016, Comput. Secur..

Improving Support Vector Classification via the Combination of Multiple Sources of Information

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2004, SSPR/SPR.

Face recognition using a permutation coding neural classifier

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2015, Neural Computing and Applications.

Relevance Metric for Counterfactuals Selection in Decision Trees

Javier M. Moguerza, Isaac Martín de Diego, Alberto Fernández-Isabel, 2019, IDEAL.

Combining traffic safety knowledge for driving risk detection

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Recent advances in face biometrics with Gabor wavelets: A review

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2010, Pattern Recognit. Lett..

Driving risk classification based on experts evaluation

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2010, 2010 IEEE Intelligent Vehicles Symposium.

Weighted Nearest Centroid Neighbourhood

Javier M. Moguerza, Isaac Martín de Diego, Víctor Aceña, 2019, IDEAL.

Alternatives to Parameter Selection for Kernel Methods

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2006, ICANN.

Analysis of variance of Gabor filter banks parameters for optimal face recognition

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, Pattern Recognit. Lett..

Combining Multi-Agent Systems and Subjective Logic to Develop Decision Support Systems

Isaac Martín de Diego, Alberto Fernández-Isabel, César González-Fernández, 2020, IPMU.

Fusion of Gaussian Kernels Within Support Vector Classification

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2006, CIARP.

Combining dynamic finite state machines and text-based similarities to represent human behavior

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2019, Eng. Appl. Artif. Intell..

Face-based recognition systems in the ABC e-gates

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2015, 2015 Annual IEEE Systems Conference (SysCon) Proceedings.

Knowledge-based framework for estimating the relevance of scientific articles

Isaac Martín de Diego, Alberto Fernández-Isabel, Javier Cabezas, 2020, Expert Syst. Appl..

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, SIMBAD.

Detecting denial of service by modelling web-server behaviour

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2013, Comput. Electr. Eng..

Automatic driving risk detection based on hands activity

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

HoGG: Gabor and HoG-based human detection for surveillance in non-controlled environments

Daniela Moctezuma, Cristina Conde, Isaac Martín de Diego, 2013, Neurocomputing.

Parallel gabor PCA with fusion of SVM scores for face verification

LinLin Shen, Li Bai, Cristina Conde, 2007, VISAPP.

Soft-biometrics evaluation for people re-identification in uncontrolled multi-camera environments

Daniela Moctezuma, Cristina Conde, Isaac Martín de Diego, 2015, EURASIP J. Image Video Process..

Combining Kernel Information for Support Vector Classification

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2004, Multiple Classifier Systems.

Gabor feature processing in spiking neural networks from retina-inspired data

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Optimal experts' knowledge selection for intelligent driving risk detection systems

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2012, 2012 IEEE Intelligent Vehicles Symposium.

Driver’s Hand Detection and Tracking Based on Address Event Representation

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2014 .

Videosensor for the Detection of Unsafe Driving Behavior in the Proximity of Black Spots

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2014, Sensors.

Modeling multi-agent systems to simulate sensor-based Smart Roads

Isaac Martín de Diego, Alberto Fernández-Isabel, Rubén Fuentes-Fernández, 2020, Simul. Model. Pract. Theory.

Scalable and flexible wireless distributed architecture for intelligent video surveillance systems

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2018, Multimedia Tools and Applications.

Wireless in-vehicle complaint driver environment recorder

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, Proceedings of the International Conference on Signal Processing and Multimedia Applications.

InCC: Hiding information by Mimicking traffic in network flows

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2013, 2013 International Conference on Security and Cryptography (SECRYPT).

Incremental Learning with Soft-Biometric Features for People Re-Identification in Multi-Camera Environments

Daniela Moctezuma, Cristina Conde, Isaac Martín de Diego, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

On the Fusion of Polynomial Kernels for Support Vector Classifiers

Javier M. Moguerza, Isaac Martín de Diego, Alberto Muñoz, 2006, IDEAL.

Kernel Procrustes

Isaac Martín de Diego, Alberto Muñoz, Isaac Martín de Diego, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Fusion of GPS and Accelerometer Information for Anomalous Trajectories Detection

Isaac Martín de Diego, Alberto Fernández-Isabel, Felipe Ortega, 2019, ICSLT 2019.

WYA2: Optimal Individual Features Extraction for VideoSurveillance Re-identification

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2017, SIGMAP.

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2011, CIARP.

A visual framework for dynamic emotional web analysis

Javier M. Moguerza, Isaac Martín de Diego, Alberto Fernández-Isabel, 2018, Knowl. Based Syst..

Combination and Selection of Traffic Safety Expert Judgments for the Prevention of Driving Risks

Javier M. Moguerza, Cristina Conde, Isaac Martín de Diego, 2012, Sensors.

Accident reproduction system for the identification of human factors involved on traffic accidents

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2012, 2012 IEEE Intelligent Vehicles Symposium.

Analysis of hands activity for automatic driving risk detection

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2013 .

Face recognition improvement with distortions of images in training set

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

New Commercial Representation for Cattle Information Gathering

Isaac Martín de Diego, María Jesús Algar, Jorge Navarro, 2020, ICPRAM.

From Indefinite to Positive Semi-Definite Matrices

Isaac Martín de Diego, Alberto Muñoz, 2006, SSPR/SPR.

Detection system from the driver's hands based on Address Event Representation (AER)

Cristina Conde, Isaac Martín de Diego, Enrique Cabello, 2012, CompIMAGE.

A unified knowledge compiler to provide support the scientific community

Javier M. Moguerza, Isaac Martín de Diego, Alberto Fernández-Isabel, 2018, Knowl. Based Syst..

A survey for user behavior analysis based on machine learning techniques: current models and applications

Isaac Martín de Diego, Alberto Fernández-Isabel, Marta Beltrán, 2021, Applied Intelligence.

System for evaluating the reliability and novelty of medical scientific papers

Isaac Martín de Diego, Alberto Fernández-Isabel, Rubén R. Fernández, 2021, J. Informetrics.

Outlier detection in animal multivariate trajectories

Isaac Martín de Diego, Paula Carballo Pérez, Jorge Navarro, 2021, Comput. Electron. Agric..

Experts perception-based system to detect misinformation in health websites

Isaac Martín de Diego, Alberto Fernández-Isabel, Rubén R. Fernández, 2021, Pattern Recognit. Lett..

An approach to detect user behaviour anomalies within identity federations

Isaac Martín de Diego, Alberto Fernández-Isabel, Marta Beltrán, 2021, Comput. Secur..

On the combination of kernels for support vector classifiers

Javier M. Moguerza, Isaac Martín de Diego, A. Muñoz, 2005 .

Alternatives to Parameter Selection for Kernel Methods

Javier M. Moguerza, Isaac Martín de Diego, A. Muñoz, 2006, ICANN.

Minimally overfitted learners: A general framework for ensemble learning

Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández, 2022, Knowl. Based Syst..

Automatic detection of potential customers by opinion mining and intelligent agents

Javier M. Moguerza, Isaac Martín de Diego, Alberto Fernández-Isabel, 2022, 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS).

Face recognition using a permutation coding neural classifier

Isaac Martín de Diego, C. Conde, Á. Serrano, 2016, Neural Computing and Applications.

Unconventional application of k-means for distributed approximate similarity search

Javier M. Moguerza, Isaac Martín de Diego, M. Algar, 2022, Information Sciences.

Scalable and flexible wireless distributed architecture for intelligent video surveillance systems

Isaac Martín de Diego, C. Conde, E. Cabello, 2019, Multimedia Tools and Applications.

Support subsets estimation for support vector machines retraining

Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández, 2022, Pattern Recognit..

Dynamic facial presentation attack detection for automated border control systems

Isaac Martín de Diego, David Ortega del Campo, C. Conde, 2020, Comput. Secur..

Suspicious news detection through semantic and sentiment measures

Isaac Martín de Diego, Alejandro G. Martín, Alberto Fernández-Isabel, 2021, Eng. Appl. Artif. Intell..

Bio-Inspired Agent-Based Architecture for Fraud Detection

Isaac Martín de Diego, Rubén R. Fernández, Isaac Martín de Diego, 2020, IMMS.

Isaac Martín de Diego, C. Conde, E. Cabello, 2011, SIMBAD.

Combining user behavioural information at the feature level to enhance continuous authentication systems

Isaac Martín de Diego, Rubén R. Fernández, Alejandro G. Martín, 2022, Knowl. Based Syst..

Explanation sets: A general framework for machine learning explainability

Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández, 2022, Inf. Sci..

Outlier trajectory detection through a context-aware distance

Isaac Martín de Diego, C. Conde, E. Cabello, 2018, Pattern Analysis and Applications.

Triangle-based outlier detection

Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández, 2022, Pattern Recognit. Lett..