Ph.D. Thesis: Vouros, A., (2020). Semi-supervised K-Means clustering for trajectory analysis in behavioural experiments.

1. Vouros, A., Gehring, T., Szydlowska, K., Janusz, A., Tu, Z., Croucher, M., Lukasiuk, K., Konopka, W., Sandi, C. and Vasilaki, E. (2018). A generalised framework for detailed classification of swimming paths inside the Morris Water Maze. Scientific Reports.

2. Huzard, D., Vouros, A., Monari, S., Astori, S., Vasilaki, E., & Sandi, C. (2019). Constitutive differences in glucocorticoid responsiveness are related to divergent spatial information processing abilities. Stress.

3. Chhabria, K., Vouros, A., Gray, C., MacDonald, R. B., Jiang, Z., Wilkinson, R. N., ... & Chico, T. (2019). Sodium nitroprusside prevents the detrimental effects of glucose on the neurovascular unit and behaviour in zebrafish. Disease Models & Mechanisms.

4. Vouros, A., & Vasilaki, E. (2021). A semi-supervised sparse K-Means algorithm. Pattern Recognition Letters.

5. Nizinska, K., Szydlowska, K., Vouros, A., Kiryk, A., Stepniak, A., Vasilaki, E., & Lukasiuk, K. (2021). Behavioral characteristics as potential biomarkers of the development and phenotype of epilepsy in a rat model of temporal lobe epilepsy. Scientific Reports.

6. Vouros, A., Langdell, S., Croucher, M., & Vasilaki, E. (2021). An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations. Machine Learning.

7. Vouros, A., Gehring, T., Jura, B., Węsierska, MJ., Wójcik, DK., & Vasilaki, E. (2022). Strategies discovery in the active allothetic place avoidance task. Scientific Reports.

1. Detailed classification of animal trajectories inside the Morris Water Maze: An updated analysis framework and the RODA software (NENCKI Presentation 2017)

2. Behavioural pattern recognition of animal paths obtained from experimental procedures (PhD Seminar Series 2018)

3. Machine learning methods for path analysis in behavioural neuroscience (Machine Learning Group Research Retreat 2019)

4. Data Analytics in Neuroscience (Tutorial and projects for) Summer School in Computational and Theoretical Models in Neuroscience (Material) RODA and Clustering Workshop

1. Manchester Julia Workshop 2016

1. Machine Learning Group Research Retreat (Sheffield, 2017)*

2. Second Conference of RSE (Manchester, 2017)

3. Sheffield Machine Learning Research Network: Network Launch (Sheffield, 2018)

4. Third Conference of RSE & Citation File Format Hack Day (Birmingham, 2018)

5. Machine Learning Group Research Retreat (Sheffield, 2019)*

6. Forth Conference of RSE (Birmingham, 2019)

*Organising committee member

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