Martin Pavlovski

30 papers A* 4A 2B 1C 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
READ: Robust and Efficient Anomaly Detection under Data Contamination and Limited Supervision.
KDD (2)
Hongzhe Shou, Guanyu Lu, Martin Pavlovski, Fang Zhou
2025 A conf
ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery.
ECAI
Fang Zhou, Zhiqiang Chen, Martin Pavlovski, Yizhong Zhang
2025 J jnl
ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery.
CoRR
Fang Zhou, Zhiqiang Chen, Martin Pavlovski, Yizhong Zhang
2024 A* conf
A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest.
ICDE
Guanyu Lu, Fang Zhou, Martin Pavlovski, Chenyi Zhou, Cheqing Jin
2024 A conf
GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels.
CIKM
Rulan Wei, Zewei He, Martin Pavlovski, Fang Zhou
2024 J jnl
Learning legal text representations via disentangling elements.
Expert Syst. Appl.
Yingzhi Miao, Fang Zhou, Martin Pavlovski, Weining Qian
2024 — conf
Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation.
DASFAA (2)
Yingzhi Miao, Martin Pavlovski, Zhiqiang Chen, Fang Zhou
2024 B conf
Targeted Detection of Anomalous Merchants on Integrated Payment Platforms via Multifaceted Transaction Representation Learning.
IEEE Big Data
Guanyu Lu, Xiang Lin, Martin Pavlovski, Xinyu Zhang, Fang Zhou
2023 J jnl
Aligning Comments to News Articles on a Budget.
IEEE Access
Jumanah Alshehri, Martin Pavlovski, Eduard C. Dragut, Zoran Obradovic
2023 A* conf
Extreme Multi-Label Classification for Ad Targeting using Factorization Machines.
KDD
Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic
2022 J jnl
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification.
Data Min. Knowl. Discov.
Fang Zhou, Suting Gao, Lyu Ni, Martin Pavlovski, Qiwen Dong, Zoran Obradovic, Weining Qian
2022 — conf
Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning.
DASFAA (2)
Weixian Zong, Fang Zhou, Martin Pavlovski, Weining Qian
2022 — conf
Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and Samples.
DASFAA (2)
Xiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic
2022 C conf
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System.
ICMLA
Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic
2021 J jnl
Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements.
IEEE Trans. Instrum. Meas.
Martin Pavlovski, Mohammad Alqudah, Tatjana Dokic, Ameen Abdel Hai, Mladen Kezunovic, Zoran Obradovic
2021 J jnl
Interception of automated adversarial drone swarms in partially observed environments.
Integr. Comput. Aided Eng.
Daniel Saranovic, Martin Pavlovski, William Power, Ivan Stojkovic, Zoran Obradovic
2021 J jnl
Learning Semi-Structured Representations of Radiology Reports.
CoRR
Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic
2021 J jnl
Transfer Learning for Event Detection From PMU Measurements With Scarce Labels.
IEEE Access
Ameen Abdel Hai, Tatjana Dokic, Martin Pavlovski, Taif Mohamed, Daniel Saranovic, Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic
2020 — conf
Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning.
AIAI (2)
William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic, Zoran Obradovic
2020 J jnl
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.
Comput. Methods Programs Biomed.
Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic
2020 J jnl
Predicting complications of diabetes mellitus using advanced machine learning algorithms.
J. Am. Medical Informatics Assoc.
Branimir Ljubic, Ameen Abdel Hai, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic
2020 A* conf
Time-Aware User Embeddings as a Service.
KDD
Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic
2019 J jnl
Optimizing clinical trials recruitment via deep learning.
J. Am. Medical Informatics Assoc.
Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic
2019 J jnl
Social network analysis for better understanding of influenza.
J. Biomed. Informatics
Branimir Ljubic, Djordje Gligorijevic, Jelena Gligorijevic, Martin Pavlovski, Zoran Obradovic
2019 — conf
Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission.
HICSS
Tatjana Dokic, Martin Pavlovski, Djordje Gligorijevic, Mladen Kezunovic, Zoran Obradovic
2019 J jnl
Stability of decision trees and logistic regression.
CoRR
Nino Arsov, Martin Pavlovski, Ljupco Kocarev
2019 J jnl
Stacking and stability.
CoRR
Nino Arsov, Martin Pavlovski, Ljupco Kocarev
2018 A* conf
Generalization-Aware Structured Regression towards Balancing Bias and Variance.
IJCAI
Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic
2017 — conf
Adaptive Skip-Train Structured Regression for Temporal Networks.
ECML/PKDD (2)
Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic
2017 J jnl
Improving Power Grid Stability With Communication Infrastructure.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Martin Pavlovski, Andrej Gajduk, Mirko Todorovski, Ljupco Kocarev