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Fernando Mateo

Showing results (1-10 of 20) with videos related to

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Scientific Reports|October 1, 2025
Temporal single spike coding for effective transfer learning in spiking neural networksHamideh Moqadasi, Saeed Safari, Fernando Mateo
Foods (Basel, Switzerland)|August 7, 2021
Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral HoneysFernando Mateo, Andrea Tarazona, Eva María Mateo
International Journal of Food Microbiology|December 16, 2022
Exploring the impact of lactic acid bacteria on the biocontrol of toxigenic Fusarium spp. and their main mycotoxinsEva M Mateo, Andrea Tarazona, Rosa Aznar, et al.
Toxins|August 27, 2025
Engineered Metal Nanoparticles: A Possible Small Solution to Big Problems Associated with Toxigenic Fungi and MycotoxinsEva María Mateo, Fernando Mateo, Andrea Tarazona, et al.
Toxins|November 24, 2022
Lactic Acid Bacteria as Potential Agents for Biocontrol of Aflatoxigenic and Ochratoxigenic FungiEva María Mateo, Andrea Tarazona, Misericordia Jiménez, et al.
International Journal of Food Microbiology|May 17, 2025
Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B<sub>2</sub> production in vitroFernando Mateo, Andrea Tarazona, Rafael Gavara, et al.
International Journal of Food Microbiology|August 25, 2007
An overview of ochratoxin A in beer and wineRufino Mateo, Angel Medina, Eva M Mateo, et al.
Toxins|July 2, 2021
Potential Health Risk Associated with Mycotoxins in Oat Grains Consumed in SpainAndrea Tarazona, José Vicente Gómez, Fernando Mateo, et al.
International Journal of Food Microbiology|July 27, 2019
Antifungal effect of engineered silver nanoparticles on phytopathogenic and toxigenic Fusarium spp. and their impact on mycotoxin accumulationAndrea Tarazona, José V Gómez, Eva M Mateo, et al.
International Journal of Food Microbiology|December 15, 2020
Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alcohol copolymer films containing pure components of essential oilsAndrea Tarazona, Eva M Mateo, José V Gómez, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Scientific Reports|October 1, 2025
Temporal single spike coding for effective transfer learning in spiking neural networksHamideh Moqadasi, Saeed Safari, Fernando Mateo
Foods (Basel, Switzerland)|August 7, 2021
Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral HoneysFernando Mateo, Andrea Tarazona, Eva María Mateo
International Journal of Food Microbiology|December 16, 2022
Exploring the impact of lactic acid bacteria on the biocontrol of toxigenic Fusarium spp. and their main mycotoxinsEva M Mateo, Andrea Tarazona, Rosa Aznar, et al.
Toxins|August 27, 2025
Engineered Metal Nanoparticles: A Possible Small Solution to Big Problems Associated with Toxigenic Fungi and MycotoxinsEva María Mateo, Fernando Mateo, Andrea Tarazona, et al.
Toxins|November 24, 2022
Lactic Acid Bacteria as Potential Agents for Biocontrol of Aflatoxigenic and Ochratoxigenic FungiEva María Mateo, Andrea Tarazona, Misericordia Jiménez, et al.
International Journal of Food Microbiology|May 17, 2025
Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B<sub>2</sub> production in vitroFernando Mateo, Andrea Tarazona, Rafael Gavara, et al.
International Journal of Food Microbiology|August 25, 2007
An overview of ochratoxin A in beer and wineRufino Mateo, Angel Medina, Eva M Mateo, et al.
Toxins|July 2, 2021
Potential Health Risk Associated with Mycotoxins in Oat Grains Consumed in SpainAndrea Tarazona, José Vicente Gómez, Fernando Mateo, et al.
International Journal of Food Microbiology|July 27, 2019
Antifungal effect of engineered silver nanoparticles on phytopathogenic and toxigenic Fusarium spp. and their impact on mycotoxin accumulationAndrea Tarazona, José V Gómez, Eva M Mateo, et al.
International Journal of Food Microbiology|December 15, 2020
Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alcohol copolymer films containing pure components of essential oilsAndrea Tarazona, Eva M Mateo, José V Gómez, et al.
Pageof 2