Journal Papers

Toward a general and interpretable
umami taste predictor using
a multi‑objective machine learning
approach

Pallante, L., Korfiati, A., Androutsos, L. et al., Scientific Reports (2022). doi: 10.1038/s41598-022-25935-3

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This is the Nut You Should be Eating for Better Gut Health

Giorgio Calabrese and Cinzia Myriam Calabrese, IntechOpen (2022). doi: 10.5772/intechopen.108567

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Informed classification of sweeteners/bitterants compounds via explainable machine learning

Maroni, G., Pallante, L., Di Benedetto, G., Deriu, M.A., Piga, D., Grasso, G. Current Research in Food Science. (2022). https://doi.org/10.1016/j.crfs.2022.11.014

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A survey on computational taste predictors

Malavolta, M., Pallante, L., Mavkov, B., Stojceski, F., Grasso, G., Korfiati, A., Mavroudi, S., Kalogeras, A., Alexakos, C., Martos, V., Amoroso, D., Di Benedetto, G., Piga, D., Theofilatos, K., & Deriu, M. A. (2022).  European Food Research and Technology. https://doi.org/10.1007/s00217-022-04044-5

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On the human taste perception: Molecular-level understanding empowered by computational methods

Pallante, L., Malavolta, M., Grasso, G., Korfiati, A., Mavroudi, S., Mavkov, B., Kalogeras, A., Alexakos, C., Martos, V., Amoroso, D., di Benedetto, G., Piga, D., Theofilatos, K., & Deriu, M. A. (2021). Trends in Food Science & Technology, 116, 445–459. https://doi.org/10.1016/j.tifs.2021.07.013

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Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques

Venturini, F., Sperti, M., Michelucci, U., Herzig, I., Baumgartner, M., Caballero, J. P., Jimenez, A., & Deriu, M. A. (2021). Foods, 10(5), 1010. https://doi.org/10.3390/foods10051010

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Fragmented blind docking: a novel protein-ligand binding prediction protocol

Grasso, G., Di Gregorio, A., Mavkov, B., Piga, D., Labate, G. F. D., Danani, A., & Deriu, M. A. (2021). Journal of Biomolecular Structure and Dynamics, 0(0), 1–10. https://doi.org/10.1080/07391102.2021.1988709

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Use of machine learning to establish limits in the classification of hyperaccumulator plants growing on serpentine, gypsum and dolomite soils

Mota-Merlo, M., & Martos, V. (2021). Mediterranean Botany, 42, e67609. https://doi.org/10.5209/mbot.67609

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A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification

Michelucci, U., Sperti, M., Piga, D., Venturini, F., & Deriu, M. A. (2021). Algorithms, 14(11), 301. https://doi.org/10.3390/a14110301

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Analizando las posibles aplicaciones de los drones y los satélites en la enseñanza de Fisiología Vegetal

Martos Núñez, V. (2022).  ReiDoCrea: Revista Electrónica de Investigación Docencia Creativa, 90–93. https://doi.org/10.30827/Digibug.72480

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Enseñanza del Análisis Sensorial en un Panel de Cata y su relación con las propiedades del Aceite de Oliva Virgen

Martos Núñez, V. (2022).  ReiDoCrea: Revista Electrónica de Investigación Docencia Creativa, 87–89. https://doi.org/10.30827/Digibug.72479

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JAK inhibitors in immune-mediated rheumatic diseases: From a molecular perspective to clinical studies

Sperti, M., Malavolta, M., Ciniero, G., Borrelli, S., Cavaglià, M., Muscat, S., Tuszynski, J. A., Afeltra, A., Margiotta, D. P. E., & Navarini, L. (2021). Journal of Molecular Graphics and Modelling, 104, 107789. https://doi.org/10.1016/j.jmgm.2020.107789

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Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0

Martos, V., Ahmad, A., Cartujo, P., & Ordoñez, J. (2021). Applied Sciences, 11(13), 5911. https://doi.org/10.3390/app11135911

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The Impact of Natural Compounds on S-Shaped Aβ42 Fibril: From Molecular Docking to Biophysical Characterization

Muscat, S., Pallante, L., Stojceski, F., Danani, A., Grasso, G., & Deriu, M. A. (2020). International Journal of Molecular Sciences, 21(6), 2017. https://doi.org/10.3390/ijms21062017

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When Stiffness Matters: Mechanosensing in Heart Development and Disease

Gaetani, R., Zizzi, E. A., Deriu, M. A., Morbiducci, U., Pesce, M., & Messina, E. (2020). Frontiers in Cell and Developmental Biology, 8(May), 1–16. https://doi.org/10.3389/fcell.2020.00334

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Remotely Piloted Aircraft (RPA) in Agriculture: A Pursuit of Sustainability

Ahmad, A., Ordoñez, J., Cartujo, P., & Martos, V. (2020). Agronomy, 11(1), 7. https://doi.org/10.3390/agronomy11010007

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