Martin Pavlovski

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E-mail: martin.pavlovski@temple.edu | martin.pavlovski@cs.manu.edu.mk

GitHub profile: MartinPavlovski@GitHub

Research Interests

Machine learning, data mining.

Conference Publications

Pavlovski, M., Gligorijevic, J., Stojkovic, I., Agrawal, S., Komirishetty, S., Gligorijevic, Dj., Bhamidipati, N., Obradovic, Z. “Time-Aware User Embeddings as a Service”, Proc. 26th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2020), San Diego, Aug. 2020.
Kezunovic, M., Dokic, T., Obradovic, Z., Pavlovski, M., Said, R. “Big Data Analytics for Predictive Lightning Outage Management Using Spatially Aware Logistic Regression Model”, Proc. CIGRE Technical Exhibition 2020, E-session SC D2 Information Systems and Telecommunication, PS-1: Impact of Emerging Information and Communication technologies on Electric Power Utilities, D2-101, Paris, France, Aug. 2020.
Power, W., Pavlovski, M., Saranovic, D., Stojkovic, I., Obradovic, Z. “Autonomous Navigation for Drone Swarms in GPS-Denied Environments using Structured Learning”, Proc. 16th IFIP WG 12.5 Int'l Conf. Artificial Intelligence Applications and Innovations (AIAI), 2020. [Best Student Paper Award]
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

Ljubic, B., Roychoudhury, S., Cao, X., Pavlovski, M., Obradovic, S., Nair, R., Glass, L., Obradovic, Z. “Influence of Medical Domain Knowledge on Deep Learning for Alzheimer’s Disease Prediction”, Computer Methods and Programs in Biomedicine}, 2020. [in press]
Ljubic, B., Abdel Hai, A., Stanojevic, M., Diaz, W., Polimac, D., Pavlovski, M., Obradovic, Z. “Predicting Complications of Diabetes Mellitus Using Advanced Machine Learning Algorithms”, Journal of the American Medical Informatics Association, 2020.
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.
Ljubic, B., Gligorijevic, Dj., Gligorijevic, J., Pavlovski, M., Obradovic, Z. “Social Network Analysis for Better Understanding of Influenza”, Journal of Biomedical Informatics, 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. (* contributed equally)
[Supplementary Information]

Poster Presentations

Pavlovski, M., Zhou, F., Arsov, N., Kocarev, L., Obradovic, Z. “Generalization-Aware Structured Regression towards Balancing Bias and Variance”, presented at the NSF US-Serbia and West Balkan Data Science Workshop, Belgrade, Serbia, August 2018. [Selected in the top-three posters]
Arsov, N., Pavlovski, M., Kocarev, L. “Weighted Bagging Predictors”, presented at the MAESTRA Summer school on mining big and complex data, Ohrid, Macedonia, September 2016.
Arsov, N., Pavlovski, M., Basnarkov, L., Kocarev, L. “Collaborative Bagging of Boosting Ensembles”, presented at the 2016 SEE Data Science Forum, Belgrade, Serbia, June 2016.