Martin Pavlovski

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Highly Imbalanced

Anomaly Detection

Diabetes Mellitus

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Guanyu Lu, Fang Zhou, Martin Pavlovski, Chenyi Zhou, Cheqing Jin
A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest. ICDE (2024)
Yingzhi Miao, Fang Zhou, Martin Pavlovski, Weining Qian
Learning legal text representations via disentangling elements. Expert Syst. Appl. 249 (2024)
Jumanah Alshehri, Martin Pavlovski, Eduard C. Dragut, Zoran Obradovic
Aligning Comments to News Articles on a Budget. IEEE Access 11 (2023)
Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic
Extreme Multi-Label Classification for Ad Targeting using Factorization Machines. KDD (2023)
Xiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic
Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and Samples. DASFAA (2) (2022)
Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. ICMLA (2022)
Weixian Zong, Fang Zhou, Martin Pavlovski, Weining Qian
Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning. DASFAA (2) (2022)
Fang Zhou, Suting Gao, Lyu Ni, Martin Pavlovski, Qiwen Dong, Zoran Obradovic, Weining Qian
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification. Data Min. Knowl. Discov. 36 (5) (2022)
Martin Pavlovski, Mohammad Alqudah, Tatjana Dokic, Ameen Abdel Hai, Mladen Kezunovic, Zoran Obradovic
Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. IEEE Trans. Instrum. Meas. 70 (2021)
Daniel Saranovic, Martin Pavlovski, William Power, Ivan Stojkovic, Zoran Obradovic
Interception of automated adversarial drone swarms in partially observed environments. Integr. Comput. Aided Eng. 28 (4) (2021)
Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic
Learning Semi-Structured Representations of Radiology Reports. CoRR (2021)
Ameen Abdel Hai, Tatjana Dokic, Martin Pavlovski, Taif Mohamed, Daniel Saranovic, Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic
Transfer Learning for Event Detection From PMU Measurements With Scarce Labels. IEEE Access 9 (2021)
Branimir Ljubic, Ameen Abdel Hai, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic
Predicting complications of diabetes mellitus using advanced machine learning algorithms. J. Am. Medical Informatics Assoc. 27 (9) (2020)
Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. 197 (2020)
William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic, Zoran Obradovic
Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning. AIAI (2) (2020)
Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic
Time-Aware User Embeddings as a Service. KDD (2020)
Branimir Ljubic, Djordje Gligorijevic, Jelena Gligorijevic, Martin Pavlovski, Zoran Obradovic
Social network analysis for better understanding of influenza. J. Biomed. Informatics 93 (2019)
Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic
Optimizing clinical trials recruitment via deep learning. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Nino Arsov, Martin Pavlovski, Ljupco Kocarev
Stacking and stability. CoRR (2019)
Nino Arsov, Martin Pavlovski, Ljupco Kocarev
Stability of decision trees and logistic regression. CoRR (2019)
Tatjana Dokic, Martin Pavlovski, Djordje Gligorijevic, Mladen Kezunovic, Zoran Obradovic
Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission. HICSS (2019)
Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic
Generalization-Aware Structured Regression towards Balancing Bias and Variance. IJCAI (2018)
Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic
Adaptive Skip-Train Structured Regression for Temporal Networks. ECML/PKDD (2) (2017)
Martin Pavlovski, Andrej Gajduk, Mirko Todorovski, Ljupco Kocarev
Improving Power Grid Stability With Communication Infrastructure. IEEE J. Emerg. Sel. Topics Circuits Syst. 7 (3) (2017)