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Mostrando ítems 1-8 de 8
Artículo
Centroid-Based Clustering with ab-Divergences
(MDPI AG, 2019-02-19)
Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The success of any centroid-based clustering relies on the choice of the similarity measure under use. ...
Artículo
A Method for Unsupervised Semi-Quantification of Inmunohistochemical Staining with Beta Divergences
(MPDI, 2022-02)
In many research laboratories, it is essential to determine the relative expression levels of some proteins of interest in tissue samples. The semi-quantitative scoring of a set of images consists of establishing a scale ...
Artículo
Automatic classification of tissue malignancy for breast carcinoma diagnosis
(Elsevier, 2018-05-05)
Breast cancer is the second leading cause of cancer death among women. Its early diagnosis is extremely important to prevent avoidable deaths. However, malignancy assessment of tissue biopsies is complex and dependent on ...
Ponencia
Ingeniería de telecomunicación y género. Indicadores en la Universidad de Sevilla
(2009)
La Ingeniería de Telecomunicación ha sido tradicionalmente una carrera considerada como masculina, ya que el porcentaje de mujeres que iniciaban su andadura en el campo de las telecomunicaciones era mínimo. Con el paso ...
Artículo
Principales problemas de los profesores principiantes en la enseñanza universitaria
(2010)
Se presentan y discuten algunas reflexiones sobre los principales problemas que los profesores principiantes encuentran en la enseñanza universitaria. Dichas dificultades se clasifican y analizan en tres ámbitos: el de ...
Artículo
Centroid-Based Clustering with αβ-Divergences
(MDPI AG, 2019)
Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The success of any centroid-based clustering relies on the choice of the similarity measure under use. ...
Ponencia
Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios
(SciTePress, 2023)
Automatic emotion recognition systems aim to identify human emotions from physiological signals, voice, facial expression or even physical activity. Among these types of signals, the usefulness of signals from electroenc ...
Artículo
A Robust Method for the Unsupervised Scoring of Immunohistochemical Staining
(MDPI, 2024-02)
Immunohistochemistry is a powerful technique that is widely used in biomedical research and clinics; it allows one to determine the expression levels of some proteins of interest in tissue samples using color intensity due ...