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  1. No Access

    Chapter and Conference Paper

    Weapon Detection Using PTZ Cameras

    Massive shooting in public places are a stigma in some countries. Computer vision techniques are being actively researched in the last few years to process video from surveillance cameras and immediately detec...

    Juan Daniel Muñoz, Jesus Ruiz-Santaquiteria in Robotics, Computer Vision and Intelligent … (2024)

  2. Article

    Open Access

    Serum levels of the novel adipokine isthmin-1 are associated with obesity in pubertal boys

    To evaluate whether there is an association between the serum levels of the novel insulin-like adipokine isthmin-1 (ISM1) and obesity-related phenotypes in a population of Spanish children and to investigate t...

    Francisco Javier Ruiz-Ojeda, Augusto Anguita-Ruiz in World Journal of Pediatrics (2023)

  3. Article

    Open Access

    Longitudinal associations between cardiovascular biomarkers and metabolic syndrome during puberty: the PUBMEP study

    Puberty has been described as a life stage of considerable metabolic risk specially for those with obesity. The low-grade systemic inflammatory status associated with obesity could be one of the connections wi...

    Esther M. González-Gil, Augusto Anguita-Ruiz, Anton Kalén in European Journal of Pediatrics (2023)

  4. No Access

    Article

    CD68 and CD83 immune populations in non-metastatic axillary lymph nodes are of prognostic value for the survival and relapse of breast cancer patients

    The foremost cause of death of breast cancer (BC) patients is metastasis, and the first site to which BC predominantly metastasizes is the axillary lymph node (ALN). Thus, ALN status is a key prognostic indica...

    Carlos López, Ramón Bosch, Anna Korzynska, Marcial García-Rojo in Breast Cancer (2022)

  5. Article

    Open Access

    Really natural adversarial examples

    The phenomenon of Adversarial Examples has become one of the most intriguing topics associated to deep learning. The so-called adversarial attacks have the ability to fool deep neural networks with inappreciab...

    Anibal Pedraza, Oscar Deniz, Gloria Bueno in International Journal of Machine Learning … (2022)

  6. No Access

    Chapter and Conference Paper

    Adults’ Pain Recognition via Facial Expressions Using CNN-Based AU Detection

    The identification of pain expression by facial analysis is a difficult problem with few effective solutions. Most of the existing facial expression recognition methods are based on the detection of different ...

    Noelia Vallez, Jesus Ruiz-Santaquiteria in Image Analysis and Processing. ICIAP 2022 … (2022)

  7. Article

    Open Access

    Evaluation of Sedentary Behavior and Physical Activity Levels Using Different Accelerometry Protocols in Children from the GENOBOX Study

    Physical activity (PA) has acquired a significant relevance due to the health benefits associated with its practice. Accelerometers are an effective tool to assess PA; however, the diversity of cut-off points ...

    Francisco Jesus Llorente-Cantarero, Jose Manuel Jurado-Castro in Sports Medicine - Open (2021)

  8. Article

    Open Access

    Robustness to adversarial examples can be improved with overfitting

    Deep learning (henceforth DL) has become most powerful machine learning methodology. Under specific circumstances recognition rates even surpass those obtained by humans. Despite this, several works have shown...

    Oscar Deniz, Anibal Pedraza, Noelia Vallez in International Journal of Machine Learning … (2020)

  9. No Access

    Book

  10. No Access

    Chapter

    Overview: Antecedents, Motivation and Necessity

    This chapter introduces the antecedents, motivation, and necessity of the use of automatic identification methods in diatom taxonomy. Expert biologists have a repetitive and laborious identification mission. T...

    Gabriel Cristóbal, Saúl Blanco, Gloria Bueno in Modern Trends in Diatom Identification (2020)

  11. No Access

    Chapter

    Segmentation Techniques

    This chapter presents different image segmentation methods that have been proven to be suitable for diatom detection. Methods are divided into classical and deep learning techniques. Moreover, within these met...

    Gloria Bueno, Manuel G. Forero in Modern Trends in Diatom Identification (2020)

  12. No Access

    Chapter

    Diatom Feature Extraction and Classification

    This chapter presents the most relevant image processing techniques and algorithms related to computing features that are able to characterize diatoms as objects in the computer vision field for further analys...

    Noelia Vallez, Anibal Pedraza, Carlos Sánchez in Modern Trends in Diatom Identification (2020)

  13. No Access

    Article

    Adherence to the Mediterranean diet in metabolically healthy and unhealthy overweight and obese European adolescents: the HELENA study

    To examine the adherence to the Mediterranean dietary pattern (MDP) in metabolically healthy overweight or obese (MHO) and metabolically unhealthy obese (MUO) European adolescents.

    Lide Arenaza, Inge Huybrechts, Francisco B. Ortega in European Journal of Nutrition (2019)

  14. No Access

    Article

    Immune response profile of primary tumour, sentinel and non-sentinel axillary lymph nodes related to metastasis in breast cancer: an immunohistochemical point of view

    Approximately 1.67 million new cases of breast cancer (BC) are diagnosed annually, and patient survival significantly decreases when the disease metastasizes. The axillary lymph nodes (ALNs) are the main doorw...

    Albert Gibert-Ramos, Carlos López, Ramon Bosch in Histochemistry and Cell Biology (2019)

  15. Article

    Open Access

    X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline

    X chromosome genetic variation has been proposed as a potential source of missing heritability for many complex diseases, including obesity. Currently, there is a lack of public available genetic datasets inco...

    Augusto Anguita-Ruiz, Julio Plaza-Diaz, Francisco Javier Ruiz-Ojeda in Scientific Data (2019)

  16. Article

    Open Access

    Effects of X-chromosome Tenomodulin Genetic Variants on Obesity in a Children’s Cohort and Implications of the Gene in Adipocyte Metabolism

    Tenomodulin (TNMD) is a type II transmembrane glycoprotein that has been recently linked to obesity, and it is highly expressed in obese adipose tissue. Several sex-dependent associations have been observed be...

    Francisco Javier Ruiz-Ojeda, Augusto Anguita-Ruiz, Azahara I. Rupérez in Scientific Reports (2019)

  17. No Access

    Chapter and Conference Paper

    Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off

    In recent scientific literature, some studies have been published where recognition rates obtained with Deep Learning (DL) surpass those obtained by humans on the same task. In contrast to this, other studies ...

    Oscar Deniz, Noelia Vallez, Gloria Bueno in Advances in Computational Intelligence (2019)

  18. Chapter and Conference Paper

    Pencil Drawing of Microscopic Images Through Edge Preserving Filtering

    Automatic diatom identification approaches have revealed remarkable abilities to tackle the challenges of water quality assessment and other environmental issues. Scientists often analyze the taxonomic charact...

    Harbinder Singh, Carlos Sánchez in Pattern Recognition and Image Analysis (2019)

  19. Chapter and Conference Paper

    Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation

    Diatom identification is a crucial process to estimate water quality, which is essential in biological studies. This process can be automated with machine learning algorithms. For this purpose, a dataset with ...

    Jesús Ruiz-Santaquitaria, Anibal Pedraza in Pattern Recognition and Image Analysis (2019)

  20. Chapter and Conference Paper

    Diatom Classification Including Morphological Adaptations Using CNNs

    Diatoms are a major group of aquatic microalgae. They are widely used in different fields such as environmental studies to estimate water quality. This paper presents the use of convolutional neural networks (...

    Carlos Sánchez, Noelia Vállez, Gloria Bueno in Pattern Recognition and Image Analysis (2019)

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