Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. - Francisco Escolano; Miguel Cazorla; Domingo Gallardo; Ramón Rizo (EMMCVPR, 1997)

A Combined Probabilistic Framework for Learning Gestures and Actions. - Francisco Escolano; Miguel Cazorla; Domingo Gallardo; Faraón Llorens; Rosana Satorre; Ramón Rizo (IEA/AIE (Vol. 2), 1998)

Bayesian Models for Finding and Grouping Junctions. - Miguel Cazorla; Francisco Escolano; Domingo Gallardo; Ramón Rizo (EMMCVPR, 1999)

Junction detection and grouping with probabilistic edge models and Bayesian A. - Miguel Cazorla; Francisco Escolano; Domingo Gallardo; Ramón Rizo (Pattern Recognit., 2002)

Two Bayesian methods for junction classification. - Miguel Cazorla; Francisco Escolano (IEEE Trans. Image Process., 2003)

Unconstrained 3D-Mesh Generation Applied to Map Building. - Diego Viejo; Miguel Cazorla (CIARP, 2004)

Walk Calibration in a Four-legged Robot. - Boyan Bonev 001; Miguel Cazorla; Humberto Martínez (CLAWAR, 2005)

Active stereo based compact mapping. - Diego Viejo; Juan Manuel Sáez; Miguel Ángel Cazorla Quevedo; Francisco Escolano (IROS, 2005)

Towards autonomous adaptation in visual tasks. - Boyan Bonev 001; Miguel Cazorla (Workshop de Agentes Físicos, 2006)

Extraction and error modeling of 3D data: application to SLAM. - Diego Viejo; Miguel Cazorla (Workshop de Agentes Físicos, 2006)

Constellations and the Unsupervised Learning of Graphs. - Boyan Bonev 001; Francisco Escolano; Miguel Angel Lozano; Pablo Suau; Miguel Cazorla; Wendy Aguilar (GbRPR, 2007)

Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching. - Francisco Escolano; Boyan Bonev 001; Pablo Suau; Wendy Aguilar; Yann Frauel; Juan Manuel Sáez; Miguel Cazorla (IROS, 2007)

3D plane-based egomotion for SLAM on semi-structured environment. - Diego Viejo; Miguel Cazorla (IROS, 2007)

A Novel Information Theory Method for Filter Feature Selection. - Boyan Bonev 001; Francisco Escolano; Miguel Cazorla (MICAI, 2007)

Feature selection, mutual information, and the classification of high-dimensional patterns. - Boyan Bonev 001; Francisco Escolano; Miguel Cazorla (Pattern Anal. Appl., 2008)

Uso de Simuladores en Docencia de Robótica Móvil. - José María Cañas Plaza; Miguel Ángel Cazorla Quevedo; Vicente Matellán (Rev. Iberoam. de Tecnol. del Aprendiz., 2009)

Region and constellations based categorization of images with unsupervised graph learning. - Miguel Angel Lozano; Francisco Escolano; Boyan Bonev 001; Pablo Suau; Wendy Aguilar; Juan Manuel Sáez; Miguel Cazorla (Image Vis. Comput., 2009)

Topological SLAM Using Omnidirectional Images: Merging Feature Detectors and Graph-Matching. - Anna Romero; Miguel Cazorla (ACIVS (1), 2010)

An Improvement of Topological Mapping Using a Graph-Matching Based Method with Omnidirectional Images. - Anna Romero; Miguel Cazorla (CCIA, 2010)

Testing Image Segmentation for Topological SLAM with Omnidirectional Images. - Anna Romero; Miguel Cazorla (MICAI (1), 2010)

Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network. - David Gil Méndez; José García Rodríguez 001; Miguel Cazorla; Magnus Johnsson (IJCNN, 2011)

Using 3D GNG-based reconstruction for 6DoF egomotion. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla; David Gil Méndez; Magnus Johnsson (IJCNN, 2011)

Visual Features Extraction Based Egomotion Calculation from a Infrared Time-of-Flight Camera. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla (IWANN (2), 2011)

6DoF Egomotion Computing Using 3D GNG-Based Reconstruction. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla (IWANN (2), 2011)

A study of registration techniques for 6DoF SLAM. - Vicente Morell; Miguel Cazorla; Diego Viejo; Sergio Orts; José García Rodríguez 001 (CCIA, 2012)

Using a RGB-D camera for 6DoF SLAM. - Jose Muñoz; Daniel Pastor; Pablo Gil; Santiago T. Puente; Miguel Cazorla (CCIA, 2012)

Learning Topological SLAM using Visual Information. - Anna Romero; Miguel Cazorla (CCIA, 2012)

R & D Cloud CEIB: Management System and Knowledge Extraction for Bioimaging in the Cloud. - José María Salinas; María de la Iglesia-Vayá; Luis Martí-Bonmatí; Rosa Valenzuela; Miguel Cazorla (DCAI, 2012)

Portable autonomous walk calibration for 4-legged robots. - Boyan Bonev 001; Miguel Cazorla; Francisco Martín 001; Vicente Matellán (Appl. Intell., 2012)

A study of a soft computing based method for 3D scenario reconstruction. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla (Appl. Soft Comput., 2012)

Topological visual mapping in robotics. - Anna Romero; Miguel Cazorla (Cogn. Process., 2012)

GPGPU implementation of growing neural gas: Application to 3D scene reconstruction. - Sergio Orts; José García Rodríguez 001; Diego Viejo; Miguel Cazorla; Vicente Morell (J. Parallel Distributed Comput., 2012)

Using GNG to improve 3D feature extraction - Application to 6DoF egomotion. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla; David Gil Méndez; Magnus Johnsson (Neural Networks, 2012)

ImageCLEF 2013: The Vision, the Data and the Open Challenges. - Barbara Caputo; Henning Müller; Bart Thomee; Mauricio Villegas; Roberto Paredes; David Zellhöfer; Hervé Goëau; Alexis Joly; Pierre Bonnet; Jesus Martínez-Gómez; Ismael García-Varea; Miguel Cazorla (CLEF, 2013)

Overview of the ImageCLEF 2013 Robot Vision Task. - Jesus Martínez-Gómez; Ismael García-Varea; Miguel Cazorla; Barbara Caputo (CLEF (Working Notes), 2013)

Point cloud data filtering and downsampling using growing neural gas. - Sergio Orts-Escolano; Vicente Morell; José García Rodríguez 001; Miguel Cazorla (IJCNN, 2013)

Improving 3D Keypoint Detection from Noisy Data Using Growing Neural Gas. - José García Rodríguez 001; Miguel Cazorla; Sergio Orts-Escolano; Vicente Morell (IWANN (2), 2013)

Learning Multi-class Topological Mapping using Visual Information. - Anna Romero; Miguel Cazorla (VISAPP (2), 2013)

ImageCLEF 2014: Overview and Analysis of the Results. - Barbara Caputo; Henning Müller; Jesus Martínez-Gómez; Mauricio Villegas; Burak Acar; Novi Patricia; Neda Barzegar Marvasti; Suzan Üsküdarli; Roberto Paredes; Miguel Cazorla; Ismael García-Varea; Vicente Morell (CLEF, 2014)

Overview of the ImageCLEF 2014 Robot Vision Task. - Jesus Martínez-Gómez; Ismael García-Varea; Miguel Cazorla; Vicente Morell (CLEF (Working Notes), 2014)

3D maps representation using GNG. - Vicente Morell; Miguel Cazorla; Sergio Orts-Escolano; José García Rodríguez 001 (IJCNN, 2014)

3D colour object reconstruction based on Growing Neural Gas. - Sergio Orts-Escolano; José García Rodríguez 001; Vicente Morell; Miguel Cazorla; Juan Manuel García Chamizo (IJCNN, 2014)

An improvement of a SLAM RGB-D method with movement prediction derived from a study of visual features. - Miguel Cazorla; Pablo Gil; Santiago T. Puente; Jose Muñoz; Daniel Pastor (Adv. Robotics, 2014)

A robust and fast method for 6DoF motion estimation from generalized 3D data. - Diego Viejo; Miguel Cazorla (Auton. Robots, 2014)

Combining visual features and Growing Neural Gas networks for robotic 3D SLAM. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla (Inf. Sci., 2014)

Parallel Computational Intelligence-Based Multi-Camera Surveillance System. - Sergio Orts-Escolano; José García Rodríguez 001; Vicente Morell; Miguel Cazorla; Jorge Azorín López; Juan Manuel García Chamizo (J. Sens. Actuator Networks, 2014)

Geometric 3D point cloud compression. - Vicente Morell; Sergio Orts; Miguel Cazorla; José García Rodríguez 001 (Pattern Recognit. Lett., 2014)

A Comparative Study of Registration Methods for RGB-D Video of Static Scenes. - Vicente Morell-Giménez; Marcelo Saval-Calvo; Jorge Azorín López; José García Rodríguez 001; Miguel Cazorla; Sergio Orts-Escolano; Andrés Fuster Guilló (Sensors, 2014)

Processing point cloud sequences with Growing Neural Gas. - Sergio Orts-Escolano; José García Rodríguez 001; Vicente Morell; Miguel Cazorla; Marcelo Saval-Calvo; Jorge Azorín López (IJCNN, 2015)

Using GNG on 3D Object Recognition in Noisy RGB-D data. - José Carlos Rangel; Vicente Morell; Miguel Cazorla; Sergio Orts-Escolano; José García Rodríguez 001 (IJCNN, 2015)

Non-rigid point set registration using color and data downsampling. - Marcelo Saval-Calvo; Sergio Orts-Escolano; Jorge Azorín López; José García Rodríguez 001; Andrés Fuster Guilló; Vicente Morell-Giménez; Miguel Cazorla (IJCNN, 2015)

Optimized Representation of 3D Sequences Using Neural Networks. - Sergio Orts-Escolano; José García Rodríguez 001; Vicente Morell; Miguel Cazorla; Alberto Garcia-Garcia; Sergiu Ovidiu-Oprea (IWINAC (2), 2015)

Object Recognition in Noisy RGB-D Data. - José Carlos Rangel; Vicente Morell; Miguel Cazorla; Sergio Orts-Escolano; José García Rodríguez 001 (IWINAC (2), 2015)

A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color. - Marcelo Saval-Calvo; Sergio Orts-Escolano; Jorge Azorín López; José García Rodríguez 001; Andrés Fuster Guilló; Vicente Morell-Giménez; Miguel Cazorla (IWINAC (2), 2015)

BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR. - María de la Iglesia-Vayá; José María Salinas; Gonzalo M. Rojas; Juan-Carlos Perez-Cortes; Rafael Llobet; Miguel Cazorla; Jacobo Martínez; Luis Martí-Bonmatí; Ignacio Blanquer; Manuel Regaña; José Miguel Puig (MIE, 2015)

Object Categorization from RGB-D Local Features and Bag of Words. - Jesus Martínez-Gómez; Miguel Cazorla; Ismael García-Varea; Cristina Romero-González (ROBOT (2), 2015)

Computing Image Descriptors from Annotations Acquired from External Tools. - José Carlos Rangel; Miguel Cazorla; Ismael García-Varea; Jesus Martínez-Gómez; Élisa Fromont; Marc Sebban (ROBOT (2), 2015)

3D model reconstruction using neural gas accelerated on GPU. - Sergio Orts-Escolano; José García Rodríguez 001; Jose Antonio Serra-Perez; Antonio Jimeno-Morenilla; Alberto Garcia-Garcia; Vicente Morell; Miguel Cazorla (Appl. Soft Comput., 2015)

JavaVis: An integrated computer vision library for teaching computer vision. - Miguel Cazorla; Diego Viejo (Comput. Appl. Eng. Educ., 2015)

ViDRILO: The Visual and Depth Robot Indoor Localization with Objects information dataset. - Jesus Martínez-Gómez; Ismael García-Varea; Miguel Cazorla; Vicente Morell (Int. J. Robotics Res., 2015)

Real-time 3D semi-local surface patch extraction using GPGPU - Application to 3D object recognition. - Sergio Orts-Escolano; Vicente Morell; José García Rodríguez 001; Miguel Cazorla; Robert B. Fisher (J. Real Time Image Process., 2015)

SARASOM: a supervised architecture based on the recurrent associative SOM. - David Gil Méndez; José García Rodríguez 001; Miguel Cazorla; Magnus Johnsson (Neural Comput. Appl., 2015)

Where Are We After Five Editions?: Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem. - Jesus Martínez-Gómez; Barbara Caputo; Miguel Cazorla; Henrik Iskov Christensen; Marco Fornoni; Ismael García-Varea; Andrzej Pronobis (IEEE Robotics Autom. Mag., 2015)

PointNet: A 3D Convolutional Neural Network for real-time object class recognition. - Alberto Garcia-Garcia; Francisco Gomez-Donoso; José García Rodríguez 001; Sergio Orts-Escolano; Miguel Cazorla; Jorge Azorín López (IJCNN, 2016)

Group activity description and recognition based on trajectory analysis and neural networks. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; José García Rodríguez 001; Miguel Cazorla; María Teresa Signes Pont (IJCNN, 2016)

Scene classification based on semantic labeling. - José Carlos Rangel; Miguel Cazorla; Ismael García-Varea; Jesus Martínez-Gómez; Élisa Fromont; Marc Sebban (Adv. Robotics, 2016)

Color smoothing for RGB-D data using entropy information. - Javier Navarrete; Diego Viejo; Miguel Cazorla (Appl. Soft Comput., 2016)

Automatic Schaeffer's gestures recognition system. - Francisco Gomez-Donoso; Miguel Cazorla; Alberto Garcia-Garcia; José García Rodríguez 001 (Expert Syst. J. Knowl. Eng., 2016)

3D Surface Reconstruction of Noisy Point Clouds Using Growing Neural Gas: 3D Object/Scene Reconstruction. - Sergio Orts-Escolano; José García Rodríguez 001; Vicente Morell; Miguel Cazorla; Jose Antonio Serra-Perez; Alberto Garcia-Garcia (Neural Process. Lett., 2016)

Editorial: Neural Processing Letters Special Issue on "Neural Networks for Vision and Robotics". - José García Rodríguez 001; Alexandra Psarrou; Andrew Lewis; Anastassia Angelopoulou; Miguel Cazorla (Neural Process. Lett., 2016)

Semantic localization in the PCL library. - Jesus Martínez-Gómez; Vicente Morell; Miguel Cazorla; Ismael García-Varea (Robotics Auton. Syst., 2016)

3DCOMET: 3D compression methods test dataset. - Javier Navarrete; Vicente Morell; Miguel Cazorla; Diego Viejo; José García Rodríguez 001; Sergio Orts-Escolano (Robotics Auton. Syst., 2016)

LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition. - Francisco Gomez-Donoso; Alberto Garcia-Garcia; José García Rodríguez 001; Sergio Orts-Escolano; Miguel Cazorla (IJCNN, 2017)

A recurrent neural network based Schaeffer gesture recognition system. - Sergiu Oprea; Alberto Garcia-Garcia; José García Rodríguez 001; Sergio Orts-Escolano; Miguel Cazorla (IJCNN, 2017)

Recognizing Pedestrian Direction Using Convolutional Neural Networks. - Alex Dominguez-Sanchez; Sergio Orts-Escolano; Miguel Cazorla (IWANN (2), 2017)

Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review. - Mauricio Zamora; Eldon Caldwell; José García Rodríguez 001; Jorge Azorín López; Miguel Cazorla (IWANN (2), 2017)

Robot Semantic Localization Through CNN Descriptors. - Edmanuel Cruz; José Carlos Rangel; Miguel Cazorla (ROBOT (1), 2017)

3D Object Mapping Using a Labelling System. - Félix Escalona; Francisco Gomez-Donoso; Miguel Cazorla (ROBOT (1), 2017)

Robust Hand Pose Regression Using Convolutional Neural Networks. - Francisco Gomez-Donoso; Sergio Orts-Escolano; Miguel Cazorla (ROBOT (1), 2017)

LexToMap: lexical-based topological mapping. - José Carlos Rangel; Jesus Martínez-Gómez; Ismael García-Varea; Miguel Cazorla (Adv. Robotics, 2017)

A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition. - Alberto Garcia-Garcia; José García Rodríguez 001; Sergio Orts-Escolano; Sergiu Oprea; Francisco Gomez-Donoso; Miguel Cazorla (Comput. Vis. Image Underst., 2017)

Automatic Learning Improves Human-Robot Interaction in Productive Environments: A Review. - Mauricio Zamora; Eldon Caldwell; José García Rodríguez 001; Jorge Azorín López; Miguel Cazorla (Int. J. Comput. Vis. Image Process., 2017)

Multi-sensor 3D object dataset for object recognition with full pose estimation. - Alberto Garcia-Garcia; Sergio Orts-Escolano; Sergiu Oprea; José García Rodríguez 001; Jorge Azorín López; Marcelo Saval-Calvo; Miguel Cazorla (Neural Comput. Appl., 2017)

Editorial: special issue on computational intelligence for vision and robotics. - José García Rodríguez 001; Isabelle Guyon; Sergio Escalera; Alexandra Psarrou; Andrew Lewis; Miguel Cazorla (Neural Comput. Appl., 2017)

Object recognition in noisy RGB-D data using GNG. - José Carlos Rangel; Vicente Morell; Miguel Cazorla; Sergio Orts-Escolano; José García Rodríguez 001 (Pattern Anal. Appl., 2017)

A robotic platform for customized and interactive rehabilitation of persons with disabilities. - Francisco Gomez-Donoso; Sergio Orts-Escolano; Alberto Garcia-Garcia; José García Rodríguez 001; John Alejandro Castro-Vargas; Sergiu Ovidiu-Oprea; Miguel Cazorla (Pattern Recognit. Lett., 2017)

Pedestrian Movement Direction Recognition Using Convolutional Neural Networks. - Alex Dominguez-Sanchez; Miguel Cazorla; Sergio Orts-Escolano (IEEE Trans. Intell. Transp. Syst., 2017)

Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot. - Edmanuel Cruz; José Carlos Rangel; Francisco Gomez-Donoso; Zuria Bauer; Miguel Cazorla; José García Rodríguez 001 (IJCNN, 2018)

A New Dataset and Performance Evaluation of a Region-based CNN for Urban Object Detection. - Alex Dominguez-Sanchez; Sergio Orts-Escolano; José García Rodríguez 001; Miguel Cazorla (IJCNN, 2018)

On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans. - Carlos Cano-Espinosa; Germán González; George R. Washko; Miguel Cazorla; Raúl San José Estépar (RAMBO+BIA+TIA@MICCAI, 2018)

Automated Agatston score computation in non-ECG gated CT scans using deep learning. - Carlos Cano-Espinosa; Germán González; George R. Washko; Miguel Cazorla; Raúl San José Estépar (Image Processing, 2018)

Improving the 3D Perception of the Pepper Robot Using Depth Prediction from Monocular Frames. - Zuria Bauer; Félix Escalona; Edmanuel Cruz; Miguel Cazorla; Francisco Gomez-Donoso (WAF, 2018)

Semantic Localization of a Robot in a Real Home. - Edmanuel Cruz; Zuria Bauer; José Carlos Rangel; Miguel Cazorla; Francisco Gomez-Donoso (WAF, 2018)

Semi-supervised 3D object recognition through CNN labeling. - José Carlos Rangel; Jesus Martínez-Gómez; Cristina Romero-González; Ismael García-Varea; Miguel Cazorla (Appl. Soft Comput., 2018)

Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged. - Edmanuel Cruz; Félix Escalona; Zuria Bauer; Miguel Cazorla; José García Rodríguez 001; Ester Martínez-Martín; José Carlos Rangel; Francisco Gomez-Donoso (Comput. Intell. Neurosci., 2018)

Interactive 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors. - Alberto Garcia-Garcia; Sergio Orts-Escolano; José García Rodríguez 001; Miguel Cazorla (J. Real Time Image Process., 2018)

Bioinspired point cloud representation: 3D object tracking. - Sergio Orts-Escolano; José García Rodríguez 001; Miguel Cazorla; Vicente Morell; Jorge Azorín López; Marcelo Saval-Calvo; Alberto Garcia-Garcia; Victor Villena-Martinez (Neural Comput. Appl., 2018)

Compression and registration of 3D point clouds using GMMs. - Javier Navarrete; Diego Viejo; Miguel Cazorla (Pattern Recognit. Lett., 2018)

PHAROS - PHysical Assistant RObot System. - Ângelo Costa; Ester Martínez-Martín; Miguel Cazorla; Vicente Julián (Sensors, 2018)

Multilevel Classification using a Taxonomy Applied to Recognizing Diptera Images. - Javier Navarrete; Francisco Gomez-Donoso; Diego Viejo; Miguel Cazorla (IJCNN, 2019)

Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery. - Carlos Cano-Espinosa; Germán González; George R. Washko; Miguel Cazorla; Raúl San José Estépar (ISBI, 2019)

Using Inferred Gestures from sEMG Signal to Teleoperate a Domestic Robot for the Disabled. - Nadia Nasri; Francisco Gomez-Donoso; Sergio Orts-Escolano; Miguel Cazorla (IWANN (2), 2019)

Artificial Semantic Memory with Autonomous Learning Applied to Social Robots. - Francisco Martín Rico; Francisco Gomez-Donoso; Félix Escalona; Miguel Cazorla; José García Rodríguez 001 (IWINAC (2), 2019)

A Story-Telling Social Robot with Emotion Recognition Capabilities for the Intellectually Challenged. - David Azuar; Guillermo Gallud Baños; Félix Escalona; Francisco Gomez-Donoso; Miguel Cazorla (ROBOT (2), 2019)

Map Slammer: Densifying Scattered KSLAM 3D Maps with Estimated Depth. - Jose Miguel Torres-Camara; Félix Escalona; Francisco Gomez-Donoso; Miguel Cazorla (ROBOT (2), 2019)

Refining the Fusion of Pepper Robot and Estimated Depth Maps Method for Improved 3D Perception. - Zuria Bauer; Félix Escalona; Edmanuel Cruz; Miguel Cazorla; Francisco Gomez-Donoso (IEEE Access, 2019)

A Socially Assistive Robot for Elderly Exercise Promotion. - Ester Martínez-Martín; Miguel Cazorla (IEEE Access, 2019)

Automatic semantic maps generation from lexical annotations. - José Carlos Rangel; Miguel Cazorla; Ismael García-Varea; Cristina Romero-González; Jesus Martínez-Gómez (Auton. Robots, 2019)

Enhancing the Ambient Assisted Living Capabilities with a Mobile Robot. - Francisco Gomez-Donoso; Félix Escalona; Francisco Miguel Rivas; José María Cañas; Miguel Cazorla (Comput. Intell. Neurosci., 2019)

Rehabilitation Technology: Assistance from Hospital to Home. - Ester Martínez-Martín; Miguel Cazorla (Comput. Intell. Neurosci., 2019)

Accurate and efficient 3D hand pose regression for robot hand teleoperation using a monocular RGB camera. - Francisco Gomez-Donoso; Sergio Orts-Escolano; Miguel Cazorla (Expert Syst. Appl., 2019)

Large-scale multiview 3D hand pose dataset. - Francisco Gomez-Donoso; Sergio Orts-Escolano; Miguel Cazorla (Image Vis. Comput., 2019)

PHAROS 2.0 - A PHysical Assistant RObot System Improved. - Ester Martínez-Martín; Ângelo Costa; Miguel Cazorla (Sensors, 2019)

Inferring Static Hand Poses from a Low-Cost Non-Intrusive sEMG Sensor. - Nadia Nasri; Sergio Orts-Escolano; Francisco Gomez-Donoso; Miguel Cazorla (Sensors, 2019)

An augmented reality application for improving shopping experience in large retail stores. - Edmanuel Cruz; Sergio Orts-Escolano; Francisco Gomez-Donoso; Carlos Rizo 001; José Carlos Rangel; Higinio Mora Mora; Miguel Cazorla (Virtual Real., 2019)

NurbsNet: A Nurbs approach for 3d object recognition. - Félix Escalona; Diego Viejo; Robert B. Fisher; Miguel Cazorla (IJCNN, 2020)

Using a 3D CNN for Rejecting False Positives on Pedestrian Detection. - Francisco Gomez-Donoso; Edmanuel Cruz; Miguel Cazorla; Stewart Worrall 002; Eduardo M. Nebot (IJCNN, 2020)

Weakly-supervised Road Condition Classification Using Automatically Generated Labels. - Wei Zhou 025; Edmanuel Cruz; Stewart Worrall 002; Francisco Gomez-Donoso; Miguel Cazorla; Eduardo M. Nebot (ITSC, 2020)

Monocular 3D Hand Pose Estimation for Teleoperating Low-Cost Actuators. - Francisco Gomez-Donoso; Félix Escalona; Alejandro Bañuls; Daniel Abellán; Miguel Cazorla (WAF, 2020)

A Voxelized Fractal Descriptor for 3D Object Recognition. - Jose Francisco Domenech; Félix Escalona; Francisco Gomez-Donoso; Miguel Cazorla (IEEE Access, 2020)

How to add new knowledge to already trained deep learning models applied to semantic localization. - Edmanuel Cruz; José Carlos Rangel; Francisco Gomez-Donoso; Miguel Cazorla (Appl. Intell., 2020)

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - Germán González; Daniel Jimenez-Carretero; Sara Rodríguez-López; Carlos Cano-Espinosa; Miguel Cazorla; Tanya Agarwal; Vinit Agarwal; Nima Tajbakhsh; Michael B. Gotway; Jianming Liang; Mojtaba Masoudi; Noushin Eftekhari; et al. (CoRR, 2020)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. - María de la Iglesia-Vayá; José Manuel Saborit; Joaquim Angel Montell-Serrano; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; Marisa Caparrós-Redondo; Germán González; et al. (CoRR, 2020)

UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. - Germán González; Aurelia Bustos; José María Salinas; María de la Iglesia-Vayá; Joaquin Galant; Carlos Cano-Espinosa; Xavier Barber; Domingo Orozco-Beltrán; Miguel Cazorla; Antonio Pertusa (CoRR, 2020)

Semantic visual recognition in a cognitive architecture for social robots. - Francisco Martín Rico; Francisco Gomez-Donoso; Félix Escalona; José García Rodríguez 001; Miguel Cazorla (Integr. Comput. Aided Eng., 2020)

Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors. - Zuria Bauer; Alejandro Dominguez; Edmanuel Cruz; Francisco Gomez-Donoso; Sergio Orts-Escolano; Miguel Cazorla (Pattern Recognit. Lett., 2020)

COMBAHO: A deep learning system for integrating brain injury patients in society. - José García Rodríguez 001; Francisco Gomez-Donoso; Sergiu Oprea; Alberto Garcia-Garcia; Miguel Cazorla; Sergio Orts-Escolano; Zuria Bauer; John Alejandro Castro-Vargas; Félix Escalona; David Ivorra-Piqueres; Pablo Martinez-Gonzalez; Eugenio Aguirre; et al. (Pattern Recognit. Lett., 2020)

An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques. - Nadia Nasri; Sergio Orts-Escolano; Miguel Cazorla (Sensors, 2020)

Biomarker Localization From Deep Learning Regression Networks. - Carlos Cano-Espinosa; Germán González; George R. Washko; Miguel Cazorla; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2020)

EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors. - Félix Escalona; Ester Martínez-Martín; Edmanuel Cruz; Miguel Cazorla; Francisco Gomez-Donoso (Virtual Real., 2020)

NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis. - Zuria Bauer; Zuoyue Li; Sergio Orts-Escolano; Miguel Cazorla; Marc Pollefeys; Martin R. Oswald (3DV, 2021)

Studying the Transferability of Non-Targeted Adversarial Attacks. - Enrique Álvarez; Rafael Álvarez; Miguel Cazorla (IJCNN, 2021)

Webpage Categorization Using Deep Learning. - Christian Mejía Escobar; Miguel Cazorla; Ester Martínez-Martín (SOCO, 2021)

Accurate Multilevel Classification for Wildlife Images. - Francisco Gomez-Donoso; Félix Escalona; Ferran Pérez-Esteve; Miguel Cazorla (Comput. Intell. Neurosci., 2021)

A Large Visual, Qualitative and Quantitative Dataset of Web Pages. - Christian Mejía Escobar; Miguel Cazorla; Ester Martínez-Martín (CoRR, 2021)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; Marisa Caparrós-Redondo; et al. (IEEE DataPort, 2021)

BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; Marisa Caparrós-Redondo; et al. (IEEE DataPort, 2021)

VFKD: Voxelized Fractal Keypoint Detector. - Francisco Gomez-Donoso; Félix Escalona; Miguel Cazorla (IJCNN, 2022)

SAFaD: A System for Automatic Fall Detection on Surveillance Imagery. - Borja Perez-Lopez; Francisco Gomez-Donoso; Miguel Cazorla (ROBOT (2), 2022)

Improving Malware Detection with a Novel Dataset Based on API Calls. - Manuel Torres 005; Rafael Álvarez; Miguel Cazorla (SOCO, 2022)

3DSliceLeNet: Recognizing 3D Objects Using a Slice-Representation. - Francisco Gomez-Donoso; Félix Escalona; Sergio Orts-Escolano; Alberto Garcia-Garcia; José García Rodríguez 001; Miguel Cazorla (IEEE Access, 2022)

AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device. - Félix Escalona; Francisco Gomez-Donoso; Francisco Morillas-Espejo; Monica Pina-Navarro; Luis Marquez-Carpintero; Miguel Cazorla (IWANN (2), 2023)

Exploring Transferability on Adversarial Attacks. - Enrique Álvarez; Rafael Álvarez; Miguel Cazorla (IEEE Access, 2023)

Improving Facial Expression Recognition Through Data Preparation and Merging. - Christian Mejía Escobar; Miguel Cazorla; Ester Martínez-Martín (IEEE Access, 2023)

A Malware Detection Approach Based on Feature Engineering and Behavior Analysis. - Manuel Torres 005; Rafael Álvarez; Miguel Cazorla (IEEE Access, 2023)

Three-dimensional reconstruction using SFM for actual pedestrian classification. - Francisco Gomez-Donoso; Julio Castaño-Amoros; Félix Escalona; Miguel Cazorla (Expert Syst. Appl., 2023)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Marisa Caparrós-Redondo; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; et al. (IEEE DataPort, 2023)

sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints. - Francisco José Romero-Ramírez; Rafael Muñoz-Salinas; Manuel J. Marín-Jiménez; Miguel Cazorla; Rafael Medina Carnicer (Sensors, 2023)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Marisa Caparrós-Redondo; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; et al. (IEEE DataPort, 2023)

HARTO: Human Activity Recognition Through Optical Flow Architecture. - Luis-Jesus Marhuenda; Francisco Gomez-Donoso; Miguel Cazorla (IJCNN, 2024)

Holograms for seamless integration of remote students in the classroom. - Bessie Dominguez-Dager; Francisco Gomez-Donoso; Rosabel Roig-Vila; Félix Escalona; Miguel Cazorla (Virtual Real., 2024)

Enhancing Engineering and STEM Education With Vision and Multimodal Large Language Models to Predict Student Attention. - Luis Marquez-Carpintero; Diego Viejo; Miguel Cazorla (IEEE Access, 2025)

CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis. - Bessie Dominguez-Dager; Félix Escalona; Francisco Gomez-Donoso; Miguel Cazorla (CoRR, 2025)

Escaping The Big Data Paradigm in Self-Supervised Representation Learning. - Carlos Vélez García; Miguel Cazorla; Jorge Pomares (CoRR, 2025)

DIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild. - Luis Marquez-Carpintero; Sergio Suescun-Ferrandiz; Carolina Lorenzo Álvarez; Jorge Fernandez-Herrero; Diego Viejo; Rosabel Roig-Vila; Miguel Cazorla (CoRR, 2025)

CADDI: An in-Class Activity Detection Dataset using IMU data from low-cost sensors. - Luis Marquez-Carpintero; Sergio Suescun-Ferrandiz; Monica Pina-Navarro; Miguel Cazorla; Francisco Gomez-Donoso (CoRR, 2025)

UKDM: Underwater keypoint detection and matching using underwater image enhancement techniques. - Pedro Diaz-Garcia; Félix Escalona; Miguel Cazorla (CoRR, 2025)