Baranyi, J., Rockaya, M., Ellouze, M.: From data to models and predictions in food microbiology.
Current Opinion in Food Science. 57 1-6, 2024.

Baranyi, J., Csorba, S., Farkas, Z., Pacza, T., Jóźwiak, Á.: Internal dynamics of patent reference networks using the Bray-Curtis dissimilarity measure.
J Big Data. 11 (1), 1-10, 2024.

Pacza, T., Baranyi, J.: Modelling the temporal changes in human milk composition.

Baranyi, J., Pacza, T., Martins, M., Thakkar, S., Samuel, T.: Modelling the temporal trajectories of human milk components.
BMC Pregnancy Childbirth. 24 (1), 1-13, 2024.

Pacza, T., Martins, M., Müller, K., Baranyi, J.: MilkyBase- A Database for Molecular-Level Mapping of the Composition of the Human Milk.
In: International Milk Genomic Consortium : IMGC HYBRID Symposium 2023, IMGC, Cork, 1, 2023.

Martins, M., Pacza, T., Müller, K., Baranyi, J.: A computational approach to nutrition science reveals the dynamics of the protein content of human milk.
Innovative Food Science & Emerging Technologies. 82 1-5, 2022.

Jánosity, A., Vajna, B., Kiskó, G., Baranyi, J.: Distribution of bacterial single cell parameters and their estimation from turbidity detection times.
Food Microbiol. 104 1-7, 2022.

Pacza, T., Martins, M., Rockaya, M., Müller, K., Chatterjee, A., Barabási, A., Baranyi, J.: MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions.
Sci Data. 9 (1), 1-7, 2022.

Olbei, M., Bohár, B., Fazekas, D., Madgwick, M., Sudhakar, P., Hautefort, I., Métris, A., Baranyi, J., Kingsley, R., Korcsmáros, T.: Multilayered networks of SalmoNet2 enable strain comparisons of the Salmonella genus on a molecular level.
mSystems. 7 (4), 1-13, 2022.

Rukit, J., Boonmee, A., Kijpornyongpan, T., Tulsook, K., Baranyi, J., Chaturongakul, S.: Roles of alternative sigma factors in invasion and growth characteristics of Listeria monocytogenes 10403S into human epithelial colorectal adenocarcinoma Caco-2 cell.
Front. Microbiol. 13 1-13, 2022.

Le Marc, Y., Buss da Silva, N., Postollec, F., Huchet, V., Baranyi, J., Ellouze, M.: A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato.
Int. J. Food Microbiol. 349 1-11, 2021.

Ellouze, M., Buss da Silva, N., Rouzeau-Szynalski, K., Coisne, L., Cantergiani, F., Baranyi, J.: Corrigendum: Modeling Bacillus cereus Growth and Cereulide Formation in Cereal-, Dairy-, Meat-, Vegetable-Based Food and Culture Medium.
Front. Microbiol. 12 1, 2021.

Jánosity, A., Klančnik, A., Kiskó, G., Možina, S., Baranyi, J.: Determining optimum carvacrol treatment as a cardinal value of a secondary model.
Int. J. Food Microbiol. 354 1-5, 2021.

Ellouze, M., Buss da Silva, N., Rouzeau-Szynalski, K., Coisne, L., Cantergiani, F., Baranyi, J.: Modeling Bacillus cereus Growth and Cereulide Formation in Cereal-, Dairy-, Meat-, Vegetable-Based Food and Culture Medium.
Front. Microbiol. 12 1-13, 2021.

Le Marc, Y., Baert, L., Buss da Silva, N., Postollec, F., Huchet, V., Baranyi, J., Ellouze, M.: The effect of pH on the growth rate of Bacillus cereus sensu lato: Quantifying strain variability and modelling the combined effects of temperature and pH.
Int. J. Food Microbiol. 360 1-11, 2021.

Buss da Silva, N., Mattar Carciofi, B., Ellouze, M., Baranyi, J.: Optimization of turbidity experiments to estimate the probability of growth for individual bacterial cells.
Food Microbiol. 83 109-112, 2019.

Baranyi, J., Buss da Silva, N.: The use of predictive models to optimize risk of decisions.
Int. J. Food Microbiol. 240 19-23, 2017.