Domenec Puig
Orcid: 0000-0002-0562-4205Affiliations:
- Rovira i Virgili University (URV), Department of Computer Science and Mathematics, Spain
According to our database1,
Domenec Puig
authored at least 216 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE J. Biomed. Health Informatics, March, 2024
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.
Expert Syst. Appl., March, 2024
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging.
Int. J. Imaging Syst. Technol., January, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
2023
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach.
Comput., October, 2023
Medical Image Anal., August, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
Implicit regularization of a deep augmented neural network model for human motion prediction.
Appl. Intell., July, 2023
Sensors, March, 2023
GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network.
Neurocomputing, 2023
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models.
CoRR, 2023
T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks.
IEEE Access, 2023
Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks.
Proceedings of the Computer Information Systems and Industrial Management, 2023
Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2023
2022
Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics.
Entropy, December, 2022
Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots.
Neural Comput. Appl., 2022
Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting.
Neural Comput. Appl., 2022
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints.
Entropy, 2022
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge.
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images.
Proceedings of the Computer Information Systems and Industrial Management, 2022
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning.
Proceedings of the Artificial Intelligence Research and Development, 2022
Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images.
Proceedings of the Artificial Intelligence Research and Development, 2022
A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives.
Proceedings of the Artificial Intelligence Research and Development, 2022
Proceedings of the Artificial Intelligence Research and Development, 2022
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography.
Proceedings of the Artificial Intelligence Research and Development, 2022
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics.
Proceedings of the Artificial Intelligence Research and Development, 2022
Proceedings of the Artificial Intelligence Research and Development, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network.
Traitement du Signal, 2021
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity.
IEEE Trans. Affect. Comput., 2021
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs.
Int. J. Interact. Multim. Artif. Intell., 2021
Expert Syst. Appl., 2021
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images.
Expert Syst. Appl., 2021
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network.
CoRR, 2021
CoRR, 2021
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches.
Proceedings of the Artificial Intelligence Research and Development, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models.
Proceedings of the Artificial Intelligence Research and Development, 2021
Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective.
Proceedings of the Artificial Intelligence Research and Development, 2021
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network.
Proceedings of the Artificial Intelligence Research and Development, 2021
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques.
Proceedings of the Artificial Intelligence Research and Development, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
IEEE Trans. Circuits Syst. Video Technol., 2020
Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks.
Multim. Tools Appl., 2020
Neurocomputing, 2020
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics.
Int. J. Interact. Multim. Artif. Intell., 2020
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection.
Comput. Biol. Medicine, 2020
Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time.
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020
2019
Mach. Vis. Appl., 2019
Robot Assisted Interventions for Individuals with Intellectual Disabilities: Impact on Users and Caregivers.
Int. J. Soc. Robotics, 2019
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation.
CoRR, 2019
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network.
CoRR, 2019
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism.
IEEE Access, 2019
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
A Modified Self-training Method for Adapting Domains in the Task of Food Classification.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Stakeholders Acceptance and Expectations of Robot-Assisted Therapy for Children with Autism Spectrum Disorder.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019
Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network.
Proceedings of the Artificial Intelligence Research and Development, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
2018
Weighted kappa loss function for multi-class classification of ordinal data in deep learning.
Pattern Recognit. Lett., 2018
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition.
Pattern Recognit. Lett., 2018
An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods.
Pattern Recognit. Lett., 2018
Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance.
Int. J. Inf. Sec., 2018
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges.
CoRR, 2018
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier.
CoRR, 2018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018
Efficient wavelet-based artifact removal for electrodermal activity in real-world applications.
Biomed. Signal Process. Control., 2018
Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments.
Proceedings of the Advances in Physical Agents, 2018
Instant Measurement of the Difficulty Level of Exergames with Simple Uni-dimensional Level Goals for Cerebral Palsy Players.
Proceedings of the Serious Games - 4th Joint International Conference, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Comparative Study of the Behavior of Feature Reduction Methods in Person Re-identification Task.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks.
Proceedings of the Artificial Intelligence Research and Development, 2018
Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images.
Proceedings of the Artificial Intelligence Research and Development, 2018
2017
Pattern Recognit. Lett., 2017
Int. J. Comput. Vis., 2017
A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time.
Int. J. Comput. Vis., 2017
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods.
Eng. Appl. Artif. Intell., 2017
Studying Stability of Different Convolutional Neural Networks Against Additive Noise.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017
Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017
Increasing the Stability of CNNs using a Denoising Layer Regularized by Local Lipschitz Constant in Road Understanding Problems.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017
Automatic Characterization of Phase Resetting Controllers for Quick Balance Recovery During Biped Locomotion.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017
Effectiveness of socially assistive robotics during cognitive stimulation interventions: Impact on caregivers.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
2016
A practical approach for detection and classification of traffic signs using Convolutional Neural Networks.
Robotics Auton. Syst., 2016
Mach. Vis. Appl., 2016
Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images.
J. Exp. Theor. Artif. Intell., 2016
Towards cost reduction of breast cancer diagnosis using mammography texture analysis.
J. Exp. Theor. Artif. Intell., 2016
Int. J. Inf. Sec., 2016
Comput. Methods Programs Biomed., 2016
Appl. Soft Comput., 2016
Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Combining Contextual and Modal Action Information into a Weighted Multikernel SVM for Human Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
MuDERI: Multimodal Database for Emotion Recognition Among Intellectually Disabled Individuals.
Proceedings of the Social Robotics - 8th International Conference, 2016
Proceedings of the Ninth International Conference on Machine Vision, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2016
The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition.
Proceedings of the Artificial Intelligence Research and Development, 2016
Proceedings of the Artificial Intelligence Research and Development, 2016
Proceedings of the Artificial Intelligence Research and Development, 2016
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals.
Proceedings of the Artificial Intelligence Research and Development, 2016
Proceedings of the Artificial Intelligence Research and Development, 2016
2015
Deterministic phase resetting with predefined response time for CPG networks based on Matsuoka's oscillator.
Robotics Auton. Syst., 2015
J. Comput. Syst. Sci., 2015
Int. J. Comput. Vis., 2015
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern.
Expert Syst. Appl., 2015
CoRR, 2015
Using Action Objects Contextual Information for a Multichannel SVM in an Action Recognition Approach based on Bag of Visual Words.
Proceedings of the VISAPP 2015, 2015
Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images.
Proceedings of the VISAPP 2015, 2015
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2015
A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes.
Proceedings of the VISAPP 2015, 2015
Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines.
Proceedings of the VISAPP 2015, 2015
A Case Study of Robot Interaction Among Individuals with Profound and Multiple Learning Disabilities.
Proceedings of the Social Robotics - 7th International Conference, 2015
A Comparison of Robot Interaction with Tactile Gaming Console Stimulation in Clinical Applications.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015
Proceedings of the Eighth International Conference on Machine Vision, 2015
Proceedings of the Eighth International Conference on Machine Vision, 2015
Proceedings of the Eighth International Conference on Machine Vision, 2015
Proceedings of the Eighth International Conference on Machine Vision, 2015
Proceedings of the European Project Space on Computer Vision, 2015
Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2015
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis.
Proceedings of the Artificial Intelligence Research and Development, 2015
Proceedings of the Artificial Intelligence Research and Development, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
2014
IEEE Trans. Circuits Syst. Video Technol., 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
A Novel Mammography Image Representation Framework with Application to Image Registration.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms.
Proceedings of the Artificial Intelligence Research and Development, 2014
Proceedings of the Artificial Intelligence Research and Development, 2014
2013
IEEE Trans. Image Process., 2013
Generation of All-in-Focus Images by Noise-Robust Selective Fusion of Limited Depth-of-Field Images.
IEEE Trans. Image Process., 2013
IEEE Signal Process. Mag., 2013
Comput. Math. Methods Medicine, 2013
An Embodied-Simplexity Approach to Design Humanoid Robots Bioinspired by Taekwondo Athletes.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013
A Personal Robotic Flying Machine with Vertical Takeoff Controlled by the Human Body Movements.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013
Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013
Programming by Demonstration: A Taxonomy of Current Relevant Methods to Teach and Describe New Skills to Robots.
Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013
On improving the robustness of variational optical flow against illumination changes.
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, 2013
On Privacy Preserving Collaborative Filtering: Current Trends, Open Problems, and New Issues.
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013
Privacy Preserving Collaborative Filtering with k-Anonymity through Microaggregation.
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013
Proceedings of the Pattern Recognition - 35th German Conference, 2013
Selection of Gabor Filters with Choquet Integral for Texture Analysis in Mammogram Images.
Proceedings of the Artificial Intelligence Research and Development, 2013
2012
Comput. Vis. Image Underst., 2012
Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications, 2012
Proceedings of the Artificial Intelligence Research and Development, 2012
2011
A new global optimization strategy for coordinated multi-robot exploration: Development and comparative evaluation.
Robotics Auton. Syst., 2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
Comput. Vis. Image Underst., 2011
Comput. Vis. Image Underst., 2011
Comput. Vis. Image Underst., 2011
Automatic Estimation of the Number of Deformation Modes in Non-rigid SfM with Missing Data.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011
Supervised texture segmentation through a multi-level pixel-based classifier based on specifically designed filters.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
2010
Pattern Recognit., 2010
Multi-level pixel-based texture classification through efficient prototype selection via normalized cut.
Pattern Recognit., 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Gabor-based texture classification through efficient prototype selection via normalized cut.
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009
2008
Efficient distance-based per-pixel texture classification with Gabor wavelet filters.
Pattern Anal. Appl., 2008
2007
Supervised texture classification by integration of multiple texture methods and evaluation windows.
Image Vis. Comput., 2007
Pixel-Based Texture Classification by Integration of Multiple Feature Extraction Methods Evaluated over Multisized Windows.
Int. J. Pattern Recognit. Artif. Intell., 2007
Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007
Comparative Evaluation of Classical Methods, Optimized Gabor Filters and LBP for Texture Feature Selection and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007
2006
Pattern Recognit., 2006
2005
Automatic Selection of Multiple Texture Feature Extraction Methods for Texture Pattern Classification.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
2003
Pixel classification through divergence-based integration of texture methods with conflict resolution.
Proceedings of the 2003 International Conference on Image Processing, 2003
Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003
Pixel Classification by Divergence-Based Integration of Multiple Texture Methods and Its Application to Fabric Defect Detection.
Proceedings of the Pattern Recognition, 2003
Proceedings of the Current Topics in Artificial Intelligence, 2003
2002
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
Proceedings of the 2002 International Conference on Image Processing, 2002