Martin Pavlovski

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Research Interests

Conference Publications

Dokic, T., Pavlovski, M., Gligorijevic, Dj., Kezunovic, M., & Obradovic, Z. “Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission”, Proc. 52nd IEEE Hawaii International Conference on System Sciences (HICSS), 2019.
Pavlovski, M., Zhou, F., Arsov, N., Kocarev, L., & Obradovic, Z. “Generalization-Aware Structured Regression towards Balancing Bias and Variance”, Proc. 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Pavlovski, M., Zhou, F., Stojkovic, I., Kocarev, L., & Obradovic, Z. “Adaptive Skip-Train Structured Regression for Temporal Networks”, Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2017.

Journal Publications

Gligorijevic, J., Gligorijevic, Dj., Pavlovski, M., Milkovits, E., Glass, L., Grier, K., Vankireddy, P., & Obradovic, Z. “Optimizing Clinical Trials Recruitment via Deep Learning”, Journal of the American Medical Informatics Association, 2019.
Pavlovski, M., Gajduk, A., Todorovski, M., & Kocarev, L. “Improving Power Grid Stability With Communication Infrastructure”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2017.
Arsov, N., Pavlovski, M., Basnarkov, L., & Kocarev, L. “Generating Highly Accurate Prediction Hypotheses Through Collaborative Ensemble Learning”, Scientific Reports, Nature Publishing Group, 2017.

Poster Presentations

Arsov, N., Pavlovski, M., & Kocarev, L. “Weighted Bagging Predictors”, presented at the MAESTRA Summer school on mining big and complex data, Ohrid, Macedonia.
Arsov, N., Pavlovski, M., Basnarkov, L., & Kocarev, L. “Collaborative Bagging of Boosting Ensembles”, presented at the 2016 SEE Data Science Forum, Belgrade, Serbia.

Course Projects