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Food Science and Technology International = Ciencia Y Tecnologia De Los Alimentos Internacional|June 1, 2022
Comparison of modelling approaches for the prediction of kinetic growth parameters of Pseudomonas spp. in oyster mushroom (Pleurotus ostreatus)Fatih Tarlak, Jean Carlos Correia Peres Costa
Life (Basel, Switzerland)|February 26, 2025
The Development of Machine Learning-Assisted Software for Predicting the Interaction Behaviours of Lactic Acid Bacteria and Listeria monocytogenesFatih Tarlak, Jean Carlos Correia Peres Costa, Ozgun Yucel
Foods (Basel, Switzerland)|September 27, 2025
Next-Generation Predictive Microbiology: A Software Platform Combining Two-Step, One-Step and Machine Learning ModellingFatih Tarlak, Büşra Betül Şimşek, Melissa Şahin, et al.
ACS Omega|May 11, 2026
Modeling and Optimization of α‑Amylase Immobilization on Chitosan-Based Supports: A Comparison of Response Surface Methodology and Machine Learning ApproachesBaşak Birdal, Beyza Bahçıvan, Kübra Akbulut, et al.
Journal of Food Protection|December 20, 2025
Development of Machine-Learning Models for Predicting Escherichia coli O157:H7 Inactivation on Fresh-Cut Lettuce during Chlorine WashingFatih Tarlak, Arícia Possas, Guiomar Denisse Posada-Izquierdo, et al.
Foods (Basel, Switzerland)|July 26, 2020
Modelling of the Behaviour of Salmonella enterica serovar Reading on Commercial Fresh-Cut Iceberg Lettuce Stored at Different TemperaturesFatih Tarlak, Gro Johannessen, Isabel Bascón Villegas, et al.
Foods (Basel, Switzerland)|March 29, 2023
Modeling the Growth of Six Listeria monocytogenes Strains in Smoked Salmon PâtéAraceli Bolívar, Chajira Garrote Achou, Fatih Tarlak, et al.
Food Research International (Ottawa, Ont.)|August 17, 2021
A new expanded modelling approach for investigating the bioprotective capacity of Latilactobacillus sakei CTC494 against Listeria monocytogenes in ready-to-eat fish productsAraceli Bolívar, Fatih Tarlak, Jean Carlos Correia Peres Costa, et al.
Food Research International (Ottawa, Ont.)|June 10, 2026
Predicting the antifungal effects of ethanolic propolis and geopropolis extracts on Aspergillus flavus growth using mechanistic and machine-learning modelsAlciléia Costa Vieria Miranda, Jean Carlos Correia Peres Costa, Carmen Wobeto, et al.
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