@article{nokey,

title = { Editorial: Methodology for Emotion-Aware Education Based on Artificial Intelligence},

author = {Rosabel Roig-Vila and Miguel Cazorla and Sébastien Lallé},

year  = {2025},

date = {2025-09-16},

journal = { Frontiers in Artificial Intelligence},

keywords = {AI, Education},

pubstate = {published},

tppubtype = {article}

}

@article{Roig-Vila2025,

title = { Implementation of artificial intelligence technologies for the assessment of students' attentional state: a systematic review},

author = {Rosabel Roig-Vila and Paz Prendes-Espinosa and Miguel Cazorla},

doi = {10.3390/app15115990},

year  = {2025},

date = {2025-07-17},

urldate = {2025-07-17},

journal = {Applied Sciences},

volume = {15},

issue = {11},

keywords = {AI, Education},

pubstate = {published},

tppubtype = {article}

}

@article{Márquez-Carpintero2025b,

title = {Enhancing Engineering and STEM Education with Vision and Multimodal Large Language Models to Predict Student Attention.},

author = {Luis Márquez-Carpintero and Diego Viejo and Miguel Cazorla},

doi = {10.1109/ACCESS.2025.3584025},

year  = {2025},

date = {2025-07-16},

urldate = {2025-07-16},

journal = {IEEE Access},

volume = {13},

keywords = {AI, Education},

pubstate = {published},

tppubtype = {article}

}

@article{Marquez-Carpintero2025,

title = {Engineering Young Faculty’s Acceptance of Real-Time behaviour Measurement Software},

author = {Luis Marquez-Carpintero and Francisco Gomez-Donoso and Miguel Cazorla},

doi = {10.3389/fcomp.2025.1565809},

year  = {2025},

date = {2025-07-16},

urldate = {2025-07-16},

journal = {Frontiers in Computer Science},

volume = {7},

keywords = {AI, Education},

pubstate = {published},

tppubtype = {article}

}

@article{kiko2025,

title = {Parallelized SLAM: Enhancing Mapping and Localization through Concurrent Processing},

author = {Francisco Romero-Ramirez and Miguel Cazorla and Manuel Marin-Jimenez and Rafael Medina-Carnicer and Rafael Munyoz-Salinas},

year  = {2025},

date = {2025-01-01},

journal = {Sensors},

volume = {Aceptado},

number = {1},

keywords = {AI, computer vision, mapping, robotics, SLAM},

pubstate = {published},

tppubtype = {article}

}

@article{gonzalez2025classification,

title = {Classification and segmentation of hip fractures in x-rays: highlighting fracture regions for interpretable diagnosis},

author = {Germán González-Serrano and Joaquín Galant and José María Salinas and Emilia Benítez and Maria Dolores Sánchez-Valverde and Jorge Calbo and Nicolás Cerrolaza},

url = {https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-01958-y},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

journal = {Insights into Imaging},

volume = {16},

number = {1},

pages = {86},

publisher = {Springer},

keywords = {AI, medical imaging},

pubstate = {published},

tppubtype = {article}

}

@article{s25010021,

title = {Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline},

author = {Victor H. Diaz-Ramirez and Martin Gonzalez-Ruiz and Rigoberto Juarez-Salazar and Miguel Cazorla},

url = {https://www.mdpi.com/1424-8220/25/1/21},

doi = {10.3390/s25010021 keywords = stereo, computer vision, multiocular, AI},

issn = {1424-8220},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

journal = {Sensors},

volume = {25},

number = {1},

abstract = {Accurate estimation of three-dimensional (3D) information from captured images is essential in numerous computer vision applications. Although binocular stereo vision has been extensively investigated for this task, its reliability is conditioned by the baseline between cameras. A larger baseline improves the resolution of disparity estimation but increases the probability of matching errors. This research presents a reliable method for disparity estimation through progressive baseline increases in multiocular vision. First, a robust rectification method for multiocular images is introduced, satisfying epipolar constraints and minimizing induced distortion. This method can improve rectification error by 25% for binocular images and 80% for multiocular images compared to well-known existing methods. Next, a dense disparity map is estimated by stereo matching from the rectified images with the shortest baseline. Afterwards, the disparity map for the subsequent images with an extended baseline is estimated within a short optimized interval, minimizing the probability of matching errors and further error propagation. This process is iterated until the disparity map for the images with the longest baseline is obtained. The proposed method increases disparity estimation accuracy by 20% for multiocular images compared to a similar existing method. The proposed approach enables accurate scene characterization and spatial point computation from disparity maps with improved resolution. The effectiveness of the proposed method is verified through exhaustive evaluations using well-known multiocular image datasets and physical scenes, achieving superior performance over similar existing methods in terms of objective measures.},

key = {computer vision, deep learning, AI},

keywords = {AI, computer vision, deep learning},

pubstate = {published},

tppubtype = {article}

}

@article{sergiogarcia2024,

title = {Enhancing Human-Robot Interaction: Development of a Multimodal Robotic Assistant for User Emotion Recognition},

author = {Sergio Garcia-Munyoz and Francisco Gomez-Donoso and Miguel Cazorla},

year  = {2024},

date = {2024-03-15},

journal = {Applied Sciences},

volume = {14},

number = {24},

keywords = {AI},

pubstate = {published},

tppubtype = {article}

}

@article{dominguez2024holograms,

title = {Holograms for seamless integration of remote students in the classroom},

author = {Bessie Dominguez-Dager and Francisco Gomez-Donoso and Rosabel Roig-Vila and Felix Escalona and Miguel Cazorla},

year  = {2024},

date = {2024-01-01},

journal = {Virtual Reality},

volume = {28},

number = {1},

pages = {24},

publisher = {Springer},

keywords = {AI, augmented and virtual reality, computer vision, Education},

pubstate = {published},

tppubtype = {article}

}

@article{app14209414,

title = {VFLD: Voxelized Fractal Local Descriptor},

author = {Francisco Gomez-Donoso and Felix Escalona and Florian Dargere and Miguel Cazorla},

url = {https://www.mdpi.com/2076-3417/14/20/9414},

issn = {2076-3417},

year  = {2024},

date = {2024-01-01},

journal = {Applied Sciences},

volume = {14},

number = {20},

abstract = {A variety of methods for 3D object recognition and registration based on a deep learning pipeline have recently emerged. Nonetheless, these methods require large amounts of data that are not easy to obtain, sometimes rendering them virtually useless in real-life scenarios due to a lack of generalization capabilities. To counter this, we propose a novel local descriptor that takes advantage of the fractal dimension. For each 3D point, we create a descriptor by computing the fractal dimension of the neighbors at different radii. Our redmethod has many benefits, such as being agnostic to the sensor of choice and noise, up to a level, and having few parameters to tinker with. Furthermore, it requires no training and does not rely on semantic information. We test our descriptor using well-known datasets and it largely outperforms Fast Point Feature Histogram, which is the state-of-the-art descriptor for 3D data. We also apply our descriptor to a registration pipeline and achieve accurate three-dimensional representations of the scenes, which are captured with a commercial sensor.},

keywords = {3D processing, AI, computer vision, fractal},

pubstate = {published},

tppubtype = {article}

}

@article{caldwell2023experimental,

title = {Experimental analysis of the effectiveness of a cyber-physical robotic system to assist speech and language pathologists in high school},

author = {Eldon Glen Caldwell-Marin and Miguel Cazorla and Jose Maria Canyas-Plaza},

year  = {2023},

date = {2023-01-01},

journal = {Journal of New Approaches in Educational Research},

volume = {12},

number = {1},

pages = {40-61},

publisher = {Springer},

keywords = {AI, Education, robotics, social robotics},

pubstate = {published},

tppubtype = {article}

}

@article{marquez2023artificial,

title = {Artificial Intelligence-based System for Detecting Attention Levels in Students},

author = {Luis Marquez-Carpintero and Monica Pina-Navarro and Sergio Suescun-Ferrandiz and Felix Escalona and Francisco Gomez-Donoso and Rosabel Roig-Vila and Miguel Cazorla},

year  = {2023},

date = {2023-01-01},

journal = {Journal of visualized experiments: JoVE},

number = {202},

keywords = {AI, deep learning, Education, emotion detection},

pubstate = {published},

tppubtype = {article}

}

@article{christian2022a,

title = {Towards a better performance in facial expression recognition: a data-centric approach},

author = {Christian Mejia and Miguel Cazorla and Ester Martinez-Martin},

year  = {2023},

date = {2023-01-01},

journal = {Computational Intelligence and Neuroscience},

volume = {2023},

keywords = {AI, data-centric, deep learning, facial expression recognition, performance improvement},

pubstate = {published},

tppubtype = {article}

}

@article{romero2023,

title = {sSLAM: Speeded Up visual SLAM mixing artificial markers and temporary keypoints},

author = {Francisco Romero-Ramirez and Rafael Munyoz-Salinas and Manuel Marin and Miguel Cazorla and Rafael Medina-Carnicer},

year  = {2023},

date = {2023-01-01},

journal = {Sensors},

volume = {Accepted},

keywords = {AI, artificial markers, keypoints, real-time mapping, visual SLAM},

pubstate = {published},

tppubtype = {article}

}

@article{alvarez2023,

title = {Exploring Transferability on Adversarial Attacks},

author = {Enrique Alvarez and Rafael Alvarez Sanchez and Miguel Cazorla},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Access},

volume = {Accepted},

keywords = {adversarial attacks, AI, deep learning},

pubstate = {published},

tppubtype = {article}

}

@article{torres2023,

title = {A Malware Detection Approach Based on Feature Engineering and Behavior Analysis},

author = {Manuel Torres Mendoza and Rafael Alvarez Sanchez and Miguel Cazorla},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Access},

volume = {Accepted},

keywords = {AI, deep learning, security},

pubstate = {published},

tppubtype = {article}

}

@article{mejia2023,

title = {Improving Facial Expression Recognition through Data Preparation & Merging},

author = {Christian Mejia-Escobar and Miguel Cazorla and Ester Martinez-Martin},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Access},

volume = {Accepted},

keywords = {AI, deep learning, emotion detection},

pubstate = {published},

tppubtype = {article}

}

@article{martinez2023,

title = {Social robotics in music education: a systematic review},

author = {Rosabel Martinez-Roig and Miguel Cazorla and Jose Maria Esteve Faubel},

year  = {2023},

date = {2023-01-01},

journal = {Frontiers in Education},

volume = {Accepted},

keywords = {AI, music education, social robotics, teaching},

pubstate = {published},

tppubtype = {article}

}

@article{gomezDonoso2022c,

title = {Three-Dimensional Reconstruction Using SFM for Actual Pedestrian Classification},

author = {Francisco Gomez-Donoso and Julio Castano and Felix Escalona and Miguel Cazorla},

year  = {2023},

date = {2023-01-01},

journal = {Expert Sytems with Applications},

volume = {213},

keywords = {3D reconstruction, AI, computer vision, deep learning, pedestrian classification, structure from motion},

pubstate = {published},

tppubtype = {article}

}

@article{9701312,

title = {3DSliceLeNet: Recognizing 3D Objects Using a Slice-Representation},

author = {Francisco Gomez-Donoso and Felix Escalona and Sergio Orts-Escolano and Alberto Garcia-Garcia and Jose Garcia-Rodriguez and Miguel Cazorla},

doi = {10.1109/ACCESS.2022.3148387},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Access},

volume = {10},

pages = {15378-15392},

keywords = {3D object recognition, AI, computer vision, deep learning},

pubstate = {published},

tppubtype = {article}

}

@article{donoso2022b,

title = {UrOAC: Urban Objects in Any-light Conditions},

author = {Francisco Gomez-Donoso and Marcos Moreno-Martineza and Miguel Cazorla},

year  = {2022},

date = {2022-01-01},

journal = {Data in brief},

volume = {Aceptado},

keywords = {AI, any-light conditions, computer vision, dataset, urban objects},

pubstate = {published},

tppubtype = {article}

}

@article{Rangel2022,

title = {Automatic understanding and mapping of regions in cities using Google},

author = {Jose Carlos Rangel and Edmanuel Cruz and Miguel Cazorla},

year  = {2022},

date = {2022-01-01},

journal = {Applied Sciences},

volume = {12},

number = {6},

keywords = {AI, automatic mapping, city analytics, deep learning, urban regions},

pubstate = {published},

tppubtype = {article}

}

@article{martinez-martin2021a,

title = {Deep Learning Techniques for Spanish Sign Language Interpretation},

author = {Ester Martinez-Martin and Francisco Morillas-Espejo},

doi = {https://doi.org/10.1155/2021/5532580},

year  = {2021},

date = {2021-01-01},

journal = {Computational Intelligence and Neuroscience},

volume = {2021},

keywords = {AI, deep learning, gesture interpretation, Spanish sign language},

pubstate = {published},

tppubtype = {article}

}

@article{Gonzalez2021,

title = {Characterization of Cell-Bound CA125 on Immune Cell Subtypes of Ovarian Cancer Patients Using a Novel Imaging Platform},

author = {German Gonzalez-Serrano and Kornel Lakatos and Jawad Hoballah and Roberta Fritz-klaus and Lojain Al-johani and Jeff Brooker and Sinyoung Jeong and Conor L. Evans and Petra Krauledat and Daniel W Cramer and Robert A. Hoffman and W. Peter Hansen and Manish S Patankar},

doi = {https://doi. org/10.3390/cancers13092072},

year  = {2021},

date = {2021-01-01},

journal = {Cancers},

volume = {13},

issue = {9},

pages = {2072},

keywords = {AI, CA125, imaging platform, immune cells, ovarian cancer},

pubstate = {published},

tppubtype = {article}

}

@article{Peng2021,

title = {Assessment of Glial Fibrillary Acidic Protein Binding to the Surface of Leukocytes with Dark-Field Imaging and Computational Analysis},

author = {Fei Peng and Sinyoung Jeong and German Gonzalez-Serrano and Haley Marks and Alexander Ho and Emmanuel Roussakis and Petra B. Krauledat and Peter Hansen and Conor L. Evans},

doi = {10.1002/adfm.202009229},

issn = {16163028},

year  = {2021},

date = {2021-01-01},

journal = {Advanced Functional Materials},

volume = {2009229},

pages = {1-9},

abstract = {...},

keywords = {AI, dark-field imaging, GFAP, gold nanoparticles, TBI biomarker},

pubstate = {published},

tppubtype = {article}

}

@article{Donoso2021a,

title = {Accurate Multilevel Classification for Wildlife Images},

author = {Francisco Gomez-Donoso and Felix Escalona and F. Perez-Esteve and Miguel Cazorla},

year  = {2021},

date = {2021-01-01},

journal = {Computational Intelligence and Neuroscience},

volume = {2021},

keywords = {AI, deep learning, multilevel, wildlife classification},

pubstate = {published},

tppubtype = {article}

}

@article{Donoso2021b,

title = {A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot},

author = {Francisco Gomez-Donoso and Felix Escalona and Nadia Nasri and Miguel Cazorla},

year  = {2021},

date = {2021-01-01},

journal = {Applied Sciences},

volume = {11},

number = {7},

keywords = {AI, assistive robotics, hand motor skills, rehabilitation, social robot},

pubstate = {published},

tppubtype = {article}

}

@article{Eldon2021,

title = {Designing a Cyber-physical Robotic Platform to assist Speech-Language Pathologists},

author = {Eldon Caldwell and Miguel Cazorla and Jose Maria Canyas Plaza},

year  = {2021},

date = {2021-01-01},

journal = {Assistive Technologies},

volume = {Aceptado},

keywords = {AI, cyber-physical system, robotic platform, speech-language pathology},

pubstate = {published},

tppubtype = {article}

}

@article{martinezmartin2021d,

title = {The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation},

author = {Ester Martinez-Martin and Eric Ferrer and Ilia Vasilev and Angel P. Pobil},

doi = {10.3390/s21041079},

issn = {1424-8220},

year  = {2021},

date = {2021-01-01},

journal = {Sensors},

volume = {21},

number = {4},

keywords = {aerial robot, AI, book localization, library inventory, quadcopter},

pubstate = {published},

tppubtype = {article}

}

@article{martinezmartin2021c,

title = {Robot Vision for Manipulation: A Trip to Real-World Applications},

author = {Ester Martinez-Martin and Angel P. Pobil},

doi = {10.1109/ACCESS.2020.3048053},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Access},

volume = {9},

pages = {3471-3481},

keywords = {AI, manipulation, real-world applications, robot vision},

pubstate = {published},

tppubtype = {article}

}

@article{martinezmartin2021b,

title = {Assistive Technology for Elderly Care: An Overview},

author = {Ester Martinez-Martin and Angelo Costa},

doi = {10.1109/ACCESS.2021.3092407},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Access},

volume = {9},

pages = {92420-92430},

keywords = {AI, assistive technology, elderly care, robotics},

pubstate = {published},

tppubtype = {article}

}

@article{Domenech2020,

title = {A Voxelized Fractal Descriptor for 3D Object Recognition},

author = {J. F. Domenech and Felix Escalona and Francisco Gomez-Donoso and Miguel Cazorla},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Access},

volume = {8},

pages = {161958-161968},

keywords = {3D object recognition, AI, fractal geometry, voxelized fractal descriptor},

pubstate = {published},

tppubtype = {article}

}

@article{Escalona2019,

title = {EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors},

author = {Felix Escalona and Ester Martinez-Martin and Edmanuel Cruz and Miguel Cazorla and Francisco Gomez-Donoso},

doi = {10.1007/s10055-019-00419-4},

issn = {1434-9957},

year  = {2020},

date = {2020-01-01},

journal = {Virtual Reality},

volume = {24},

pages = {567-581},

abstract = {...},

keywords = {AI, at-home rehabilitation, augmented reality, EVA platform, low-cost sensors},

pubstate = {published},

tppubtype = {article}

}

@article{Cruz2020AI,

title = {How to add new knowledge to already trained deep learning models applied to semantic localization},

author = {Edmanuel Cruz and Jose Carlos Rangel and Francisco Gomez-Donoso and Miguel Cazorla},

year  = {2020},

date = {2020-01-01},

journal = {Applied Intelligence},

volume = {50},

number = {1},

pages = {14-28},

keywords = {AI, deep learning, semantic localization, transfer learning},

pubstate = {published},

tppubtype = {article}

}