Brunner, D., Bordes, M., Mayrhuber, E., Winkler, S. M., Dorfer, V., & Oczak, M. (2026). Skeleton integrity: A method for the efficient fine-tuning of pose estimation models for pigs. Biosystems Engineering, 264, 104380.

Mayrhuber, E., Maschat, K., Brunner, D., Winkler, S. M., & Oczak, M. (2026). Improved and interpretable accelerometer-based farrowing prediction. Biosystems Engineering, 263, 104381.

Truong, S., Schmitt, O., Buisman-Pijlman, F., Oczak, M., & Rault, J. L. (2026). Exploring wanting and liking during positive human-animal interactions. Psychopharmacology, 1-11.

Foris, B., Sheng, K., Dürnberger, C., Oczak, M., & Rault, J. L. (2025). AI for One Welfare: the role of animal welfare scientists in developing valid and ethical AI-based welfare assessment tools. Frontiers in Veterinary Science, 12, 1645901.

Oczak, M., Rault, J. L., Truong, S., & Schmitt, O. (2024). Skeleton-based image feature extraction for automated behavioral analysis in human-animal relationship tests. Applied Animal Behaviour Science, 277, 106347.

Martin-Cirera, A., Nowak, M., Norton, T., Auer, U., & Oczak, M. (2024). Comparison of Transformers with LSTM for classification of the behavioural time budget in horses based on video data. Biosystems Engineering, 242, 154-168.

Martin-Cirera, A., Lyrakis, M., Riber, A. B., Oczak, M., Gosch, M., Dunn, M., & Sirovnik, J. (2024). Dark brooder pullets are less active than Non-brooder pullets, but show similar level of synchronisation at the resource areas. Applied Animal Behaviour Science, 275, 106283.

Hockings, N., Iwersen, M., Hancock, A., & Oczak, M. (2023). Causal structure search and modeling of precision dairy farm data for automated prediction of ketosis risk, and the effect of potential interventions. Frontiers in Animal Science, 4, 1180610.

Oczak, M., Maschat, K., & Baumgartner, J. (2023). Implementation of Computer-Vision-Based Farrowing Prediction in Pens with Temporary Sow Confinement. Veterinary Sciences, 10(2), 109.

Berckmans, D., Oczak, M., Iwersen, M., & Wagener, K. (2022). Precision Livestock Farming'22: papers presented at the 10th European Conference on Precision Livestock Farming. In 10th European Conference on Precision Livestock Farming, Vienna, Austria, 2.08.-01.09. 2022.

Oczak, M., Bayer, F., Vetter, S. G., Maschat, K., & Baumgartner, J. (2022). Where is the sow’s nose: RetinaNet object detector as a basis for monitoring the use of rack with nest-building material. Frontiers in Animal Science, 3, 913407.

Oczak, M., Bayer, F., Vetter, S., Maschat, K., & Baumgartner, J. (2022). Comparison of the automated monitoring of the sow activity in farrowing pens using video and accelerometer data. Computers and Electronics in Agriculture, 192, 106517.

Wang, M., Oczak. M., Larsen, M., Bayer, F., Maschat, K., Baumgartner, J., Rault, J. L., & Norton, T. (2021). A PCA-based frame selection method for applying CNN and LSTM to classify postural behaviour in sows. Computers and Electronics in Agriculture, 189, 106351.

Maschat, K., Dolezal, M., Leeb, C., Heidinger, B., Winckler, C., Oczak, M., & Baumgartner, J. (2020). Duration of confinement and pen-type affect health-related measures of welfare in lactating sows. Animal Welfare, 29(3), 339-352.

Chen, C., Zhu, W., Oczak, M., Maschat, K., Baumgartner, J., Larsen, M. L. V., & Norton, T. (2020). A computer vision approach for recognition of the engagement of pigs with different enrichment objects. Computers and Electronics in Agriculture, 175, 105580.

Liu, D., Oczak, M., Maschat, K., Baumgartner, J., Pletzer, B., He, D., & Norton, T. (2020). A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs. Biosystems Engineering, 195, 27-41.

Oczak, M., Maschat, K., & Baumgartner, J. (2020). Dynamics of Sows’ Activity Housed in Farrowing Pens with Possibility of Temporary Crating might Indicate the Time When Sows Should be Confined in a Crate before the Onset of Farrowing. Animals, 10(1), 6.

Krieger, S., Oczak, M., Lidauer, L., Berger, A., Kickinger, F., Öhlschuster, M., ... & Iwersen, M. (2019). An ear-attached accelerometer as an on-farm device to predict the onset of calving in dairy cows. Biosystems engineering, 184, 190-199.

Krieger, S., Oczak, M., Kickinger, F., Lidauer, L., Auer, W., Drillich, M., & Iwersen, M. (2018). Precision livestock farming-Potential use of an accelerometer for predicting parturition in dairy cows. Tierarztliche Umschau, 73(3), 58-64.

Kanz, P., Krieger, S., Drillich, M., & Iwersen, M. (2018). Evaluation of a wireless pulse oximeter for measuring arterial oxygen saturation and pulse rate in newborn Holstein Friesian calves. Journal of dairy science, 101(7), 6437-6442.

Oczak, M., Maschat, K., Berckmans, D., Vranken, E., & Baumgartner, J. (2016). Automatic estimation of number of piglets in a pen during farrowing, using image analysis. Biosystems Engineering, 151, 81-89.

Oczak, M., Maschat, K., Berckmans, D., Vranken, E., & Baumgartner, J. (2016). Can an automated labelling method based on accelerometer data replace a human labeller?–Postural profile of farrowing sows. Computers and Electronics in Agriculture, 127, 168-175.

Oczak, M., Maschat, K., Berckmans, D., Vranken, E., & Baumgartner, J. (2015). Classification of nest-building behaviour in non-crated farrowing sows on the basis of accelerometer data. biosystems engineering, 140, 48-58.