Publicaciones en colaboración con investigadores/as de Scintillon Institute (33)

2020

  1. Cognitive chaos on spectrofluorometric data to quantitatively unmask adulterations of a PDO vinegar

    Food Control, Vol. 108

  2. Convolutional decoding of thermographic images to locate and quantify honey adulterations

    Talanta, Vol. 209

  3. Deep thermal imaging to compute the adulteration state of extra virgin olive oil

    Computers and Electronics in Agriculture, Vol. 171

  4. Detection of adulterations of extra-virgin olive oil by means of infrared thermography

    Olives and Olive Oil in Health and Disease Prevention (Elsevier), pp. 79-84

  5. Editorial: Artificial Intelligence in Chemistry

    Frontiers in Chemistry

  6. Exposing adulteration of Muscatel wines and assessing its distribution chain with fluorescence via intelligent and chaotic networks

    Food Control, Vol. 118

  7. Honey exposed to laser-induced breakdown spectroscopy for chaos-based botanical classification and fraud assessment

    Chemometrics and Intelligent Laboratory Systems, Vol. 199

  8. Influence of the distribution chain on the quality of extra virgin olive oils

    Olives and Olive Oil in Health and Disease Prevention (Elsevier), pp. 85-90

  9. Machine Learning and Feature Selection Applied to SEER Data to Reliably Assess Thyroid Cancer Prognosis

    Scientific Reports, Vol. 10, Núm. 1

  10. Phenolic compounds in olive oil mill wastewater

    Olives and Olive Oil in Health and Disease Prevention (Elsevier), pp. 693-700

  11. Service-learning at the postgraduate level to reach depressed sectors of society

    Journal of Higher Education Theory and Practice, Vol. 20, Núm. 9, pp. 54-59