Martin Pavlovski

According to our database, Martin Pavlovski authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning legal text representations via disentangling elements.

Yingzhi Miao, Fang Zhou, Martin Pavlovski, Weining Qian

Expert Syst. Appl., 2024

A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest.

Guanyu Lu, Fang Zhou, Martin Pavlovski, Chenyi Zhou, Cheqing Jin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels.

Rulan Wei, Zewei He, Martin Pavlovski, Fang Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Aligning Comments to News Articles on a Budget.

Jumanah Alshehri, Martin Pavlovski, Eduard C. Dragut, Zoran Obradovic

IEEE Access, 2023

Extreme Multi-Label Classification for Ad Targeting using Factorization Machines.

Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification.

Fang Zhou, Suting Gao, Lyu Ni, Martin Pavlovski, Qiwen Dong, Zoran Obradovic, Weining Qian

Data Min. Knowl. Discov., 2022

Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System.

Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning.

Weixian Zong, Fang Zhou, Martin Pavlovski, Weining Qian

Proceedings of the Database Systems for Advanced Applications, 2022

Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and Samples.

Xiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements.

Martin Pavlovski, Mohammad Alqudah, Tatjana Dokic, Ameen Abdel Hai, Mladen Kezunovic, Zoran Obradovic

IEEE Trans. Instrum. Meas., 2021

Interception of automated adversarial drone swarms in partially observed environments.

Daniel Saranovic, Martin Pavlovski, William Power, Ivan Stojkovic, Zoran Obradovic

Integr. Comput. Aided Eng., 2021

Learning Semi-Structured Representations of Radiology Reports.

Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic

CoRR, 2021

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels.

Ameen Abdel Hai, Tatjana Dokic, Martin Pavlovski, Taif Mohamed, Daniel Saranovic, Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic

IEEE Access, 2021

2020

Predicting complications of diabetes mellitus using advanced machine learning algorithms.

Branimir Ljubic, Ameen Abdel Hai, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic

J. Am. Medical Informatics Assoc., 2020

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.

Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic

Comput. Methods Programs Biomed., 2020

Time-Aware User Embeddings as a Service.

Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning.

William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic, Zoran Obradovic

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019

Social network analysis for better understanding of influenza.

Branimir Ljubic, Djordje Gligorijevic, Jelena Gligorijevic, Martin Pavlovski, Zoran Obradovic

J. Biomed. Informatics, 2019

Optimizing clinical trials recruitment via deep learning.

Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic

J. Am. Medical Informatics Assoc., 2019

Stability of decision trees and logistic regression.

Nino Arsov, Martin Pavlovski, Ljupco Kocarev

CoRR, 2019

Stacking and stability.

Nino Arsov, Martin Pavlovski, Ljupco Kocarev

CoRR, 2019

Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission.

Tatjana Dokic, Martin Pavlovski, Djordje Gligorijevic, Mladen Kezunovic, Zoran Obradovic

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Generalization-Aware Structured Regression towards Balancing Bias and Variance.

Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Improving Power Grid Stability With Communication Infrastructure.

Martin Pavlovski, Andrej Gajduk, Mirko Todorovski, Ljupco Kocarev

IEEE J. Emerg. Sel. Topics Circuits Syst., 2017

Adaptive Skip-Train Structured Regression for Temporal Networks.

Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017