Miguel Cazorla

Orcid: 0000-0001-6805-3633

According to our database1, Miguel Cazorla authored at least 150 papers between 1997 and 2024.

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Bibliography

2024
Holograms for seamless integration of remote students in the classroom.
Virtual Real., March, 2024

2023

sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints.
Sensors, February, 2023


Three-dimensional reconstruction using SFM for actual pedestrian classification.
Expert Syst. Appl., 2023

A Malware Detection Approach Based on Feature Engineering and Behavior Analysis.
IEEE Access, 2023

Improving Facial Expression Recognition Through Data Preparation and Merging.
IEEE Access, 2023

Exploring Transferability on Adversarial Attacks.
IEEE Access, 2023

AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device.
Proceedings of the Advances in Computational Intelligence, 2023

2022
3DSliceLeNet: Recognizing 3D Objects Using a Slice-Representation.
IEEE Access, 2022

Improving Malware Detection with a Novel Dataset Based on API Calls.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

SAFaD: A System for Automatic Fall Detection on Surveillance Imagery.
Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022

VFKD: Voxelized Fractal Keypoint Detector.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021


A Large Visual, Qualitative and Quantitative Dataset of Web Pages.
CoRR, 2021

Accurate Multilevel Classification for Wildlife Images.
Comput. Intell. Neurosci., 2021

Webpage Categorization Using Deep Learning.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Studying the Transferability of Non-Targeted Adversarial Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2021

NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis.
Proceedings of the International Conference on 3D Vision, 2021

2020
EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors.
Virtual Real., 2020

Biomarker Localization From Deep Learning Regression Networks.
IEEE Trans. Medical Imaging, 2020

An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques.
Sensors, 2020

COMBAHO: A deep learning system for integrating brain injury patients in society.
Pattern Recognit. Lett., 2020

Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors.
Pattern Recognit. Lett., 2020

Semantic visual recognition in a cognitive architecture for social robots.
Integr. Comput. Aided Eng., 2020

UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays.
CoRR, 2020

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.
CoRR, 2020

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).
CoRR, 2020

How to add new knowledge to already trained deep learning models applied to semantic localization.
Appl. Intell., 2020

A Voxelized Fractal Descriptor for 3D Object Recognition.
IEEE Access, 2020

Monocular 3D Hand Pose Estimation for Teleoperating Low-Cost Actuators.
Proceedings of the Advances in Physical Agents II, 2020

Weakly-supervised Road Condition Classification Using Automatically Generated Labels.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Using a 3D CNN for Rejecting False Positives on Pedestrian Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

NurbsNet: A Nurbs approach for 3d object recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
An augmented reality application for improving shopping experience in large retail stores.
Virtual Real., 2019

Inferring Static Hand Poses from a Low-Cost Non-Intrusive sEMG Sensor.
Sensors, 2019

PHAROS 2.0 - A PHysical Assistant RObot System Improved.
Sensors, 2019

Large-scale multiview 3D hand pose dataset.
Image Vis. Comput., 2019

Accurate and efficient 3D hand pose regression for robot hand teleoperation using a monocular RGB camera.
Expert Syst. Appl., 2019

Rehabilitation Technology: Assistance from Hospital to Home.
Comput. Intell. Neurosci., 2019

Enhancing the Ambient Assisted Living Capabilities with a Mobile Robot.
Comput. Intell. Neurosci., 2019

Automatic semantic maps generation from lexical annotations.
Auton. Robots, 2019

A Socially Assistive Robot for Elderly Exercise Promotion.
IEEE Access, 2019

Refining the Fusion of Pepper Robot and Estimated Depth Maps Method for Improved 3D Perception.
IEEE Access, 2019

Map Slammer: Densifying Scattered KSLAM 3D Maps with Estimated Depth.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

A Story-Telling Social Robot with Emotion Recognition Capabilities for the Intellectually Challenged.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Artificial Semantic Memory with Autonomous Learning Applied to Social Robots.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Using Inferred Gestures from sEMG Signal to Teleoperate a Domestic Robot for the Disabled.
Proceedings of the Advances in Computational Intelligence, 2019

Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multilevel Classification using a Taxonomy Applied to Recognizing Diptera Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
PHAROS - PHysical Assistant RObot System.
Sensors, 2018

Compression and registration of 3D point clouds using GMMs.
Pattern Recognit. Lett., 2018

Bioinspired point cloud representation: 3D object tracking.
Neural Comput. Appl., 2018

Interactive 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors.
J. Real Time Image Process., 2018

Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged.
Comput. Intell. Neurosci., 2018

Semi-supervised 3D object recognition through CNN labeling.
Appl. Soft Comput., 2018

Semantic Localization of a Robot in a Real Home.
Proceedings of the Advances in Physical Agents, 2018

Improving the 3D Perception of the Pepper Robot Using Depth Prediction from Monocular Frames.
Proceedings of the Advances in Physical Agents, 2018

Automated Agatston score computation in non-ECG gated CT scans using deep learning.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

A New Dataset and Performance Evaluation of a Region-based CNN for Urban Object Detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Pedestrian Movement Direction Recognition Using Convolutional Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2017

A robotic platform for customized and interactive rehabilitation of persons with disabilities.
Pattern Recognit. Lett., 2017

Object recognition in noisy RGB-D data using GNG.
Pattern Anal. Appl., 2017

Editorial: special issue on computational intelligence for vision and robotics.
Neural Comput. Appl., 2017

Multi-sensor 3D object dataset for object recognition with full pose estimation.
Neural Comput. Appl., 2017

Automatic Learning Improves Human-Robot Interaction in Productive Environments: A Review.
Int. J. Comput. Vis. Image Process., 2017

A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition.
Comput. Vis. Image Underst., 2017

LexToMap: lexical-based topological mapping.
Adv. Robotics, 2017

Robust Hand Pose Regression Using Convolutional Neural Networks.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017

3D Object Mapping Using a Labelling System.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017

Robot Semantic Localization Through CNN Descriptors.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017

Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review.
Proceedings of the Advances in Computational Intelligence, 2017

Recognizing Pedestrian Direction Using Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2017

A recurrent neural network based Schaeffer gesture recognition system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
3DCOMET: 3D compression methods test dataset.
Robotics Auton. Syst., 2016

Semantic localization in the PCL library.
Robotics Auton. Syst., 2016

Editorial: Neural Processing Letters Special Issue on "Neural Networks for Vision and Robotics".
Neural Process. Lett., 2016

3D Surface Reconstruction of Noisy Point Clouds Using Growing Neural Gas: 3D Object/Scene Reconstruction.
Neural Process. Lett., 2016

Automatic Schaeffer's gestures recognition system.
Expert Syst. J. Knowl. Eng., 2016

Color smoothing for RGB-D data using entropy information.
Appl. Soft Comput., 2016

Scene classification based on semantic labeling.
Adv. Robotics, 2016

Group activity description and recognition based on trajectory analysis and neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

PointNet: A 3D Convolutional Neural Network for real-time object class recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Where Are We After Five Editions?: Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem.
IEEE Robotics Autom. Mag., 2015

SARASOM: a supervised architecture based on the recurrent associative SOM.
Neural Comput. Appl., 2015

Real-time 3D semi-local surface patch extraction using GPGPU - Application to 3D object recognition.
J. Real Time Image Process., 2015

ViDRILO: The Visual and Depth Robot Indoor Localization with Objects information dataset.
Int. J. Robotics Res., 2015

JavaVis: An integrated computer vision library for teaching computer vision.
Comput. Appl. Eng. Educ., 2015

3D model reconstruction using neural gas accelerated on GPU.
Appl. Soft Comput., 2015

Computing Image Descriptors from Annotations Acquired from External Tools.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Object Categorization from RGB-D Local Features and Bag of Words.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Object Recognition in Noisy RGB-D Data.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Optimized Representation of 3D Sequences Using Neural Networks.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Non-rigid point set registration using color and data downsampling.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Using GNG on 3D Object Recognition in Noisy RGB-D data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Processing point cloud sequences with Growing Neural Gas.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
A Comparative Study of Registration Methods for RGB-D Video of Static Scenes.
Sensors, 2014

Geometric 3D point cloud compression.
Pattern Recognit. Lett., 2014

Parallel Computational Intelligence-Based Multi-Camera Surveillance System.
J. Sens. Actuator Networks, 2014

Combining visual features and Growing Neural Gas networks for robotic 3D SLAM.
Inf. Sci., 2014

A robust and fast method for 6DoF motion estimation from generalized 3D data.
Auton. Robots, 2014

An improvement of a SLAM RGB-D method with movement prediction derived from a study of visual features.
Adv. Robotics, 2014

3D colour object reconstruction based on Growing Neural Gas.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

3D maps representation using GNG.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Overview of the ImageCLEF 2014 Robot Vision Task.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

ImageCLEF 2014: Overview and Analysis of the Results.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014

2013
Learning Multi-class Topological Mapping using Visual Information.
Proceedings of the VISAPP 2013, 2013

Improving 3D Keypoint Detection from Noisy Data Using Growing Neural Gas.
Proceedings of the Advances in Computational Intelligence, 2013

Point cloud data filtering and downsampling using growing neural gas.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Overview of the ImageCLEF 2013 Robot Vision Task.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

ImageCLEF 2013: The Vision, the Data and the Open Challenges.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Visualization, 2013

2012
Using GNG to improve 3D feature extraction - Application to 6DoF egomotion.
Neural Networks, 2012

GPGPU implementation of growing neural gas: Application to 3D scene reconstruction.
J. Parallel Distributed Comput., 2012

Topological visual mapping in robotics.
Cogn. Process., 2012

A study of a soft computing based method for 3D scenario reconstruction.
Appl. Soft Comput., 2012

Portable autonomous walk calibration for 4-legged robots.
Appl. Intell., 2012

R & D Cloud CEIB: Management System and Knowledge Extraction for Bioimaging in the Cloud.
Proceedings of the Distributed Computing and Artificial Intelligence, 2012

Learning Topological SLAM using Visual Information.
Proceedings of the Artificial Intelligence Research and Development, 2012

Using a RGB-D camera for 6DoF SLAM.
Proceedings of the Artificial Intelligence Research and Development, 2012

A study of registration techniques for 6DoF SLAM.
Proceedings of the Artificial Intelligence Research and Development, 2012

2011
6DoF Egomotion Computing Using 3D GNG-Based Reconstruction.
Proceedings of the Advances in Computational Intelligence, 2011

Visual Features Extraction Based Egomotion Calculation from a Infrared Time-of-Flight Camera.
Proceedings of the Advances in Computational Intelligence, 2011

Using 3D GNG-based reconstruction for 6DoF egomotion.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Testing Image Segmentation for Topological SLAM with Omnidirectional Images.
Proceedings of the Advances in Artificial Intelligence, 2010

An Improvement of Topological Mapping Using a Graph-Matching Based Method with Omnidirectional Images.
Proceedings of the Artificial Intelligence Research and Development, 2010

Topological SLAM Using Omnidirectional Images: Merging Feature Detectors and Graph-Matching.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009
Region and constellations based categorization of images with unsupervised graph learning.
Image Vis. Comput., 2009

Uso de Simuladores en Docencia de Robótica Móvil.
Rev. Iberoam. de Tecnol. del Aprendiz., 2009

2008
Feature selection, mutual information, and the classification of high-dimensional patterns.
Pattern Anal. Appl., 2008

2007
A Novel Information Theory Method for Filter Feature Selection.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

3D plane-based egomotion for SLAM on semi-structured environment.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Constellations and the Unsupervised Learning of Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

2006
Extraction and error modeling of 3D data: application to SLAM.
Proceedings of the Actas del VII Workshop de Agentes Físicos WAF'2006, 2006

Towards autonomous adaptation in visual tasks.
Proceedings of the Actas del VII Workshop de Agentes Físicos WAF'2006, 2006

2005
Active stereo based compact mapping.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Walk Calibration in a Four-legged Robot.
Proceedings of the Climbing and Walking Robots, 2005

2004
Unconstrained 3D-Mesh Generation Applied to Map Building.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Two Bayesian methods for junction classification.
IEEE Trans. Image Process., 2003

2002
Junction detection and grouping with probabilistic edge models and Bayesian A.
Pattern Recognit., 2002

1999
Bayesian Models for Finding and Grouping Junctions.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

1998
A Combined Probabilistic Framework for Learning Gestures and Actions.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

1997
Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997


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