Adaptive Skip-Train Structured Regression for Temporal Networks. - Martin Pavlovski; Fang Zhou; Ivan Stojkovic; Ljupco Kocarev; Zoran Obradovic (ECML/PKDD (2), 2017)

Improving Power Grid Stability With Communication Infrastructure. - Martin Pavlovski; Andrej Gajduk; Mirko Todorovski; Ljupco Kocarev (IEEE J. Emerg. Sel. Topics Circuits Syst., 2017)

Generalization-Aware Structured Regression towards Balancing Bias and Variance. - Martin Pavlovski; Fang Zhou; Nino Arsov; Ljupco Kocarev; Zoran Obradovic (IJCAI, 2018)

Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission. - Tatjana Dokic; Martin Pavlovski; Djordje Gligorijevic; Mladen Kezunovic; Zoran Obradovic (HICSS, 2019)

Stacking and stability. - Nino Arsov; Martin Pavlovski; Ljupco Kocarev (CoRR, 2019)

Stability of decision trees and logistic regression. - Nino Arsov; Martin Pavlovski; Ljupco Kocarev (CoRR, 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)

Social network analysis for better understanding of influenza. - Branimir Ljubic; Djordje Gligorijevic; Jelena Gligorijevic; Martin Pavlovski; Zoran Obradovic (J. Biomed. Informatics, 2019)

Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning. - William Power; Martin Pavlovski; Daniel Saranovic; Ivan Stojkovic; Zoran Obradovic (AIAI (2), 2020)

Time-Aware User Embeddings as a Service. - Martin Pavlovski; Jelena Gligorijevic; Ivan Stojkovic; Shubham Agrawal; Shabhareesh Komirishetty; Djordje Gligorijevic; Narayan Bhamidipati; Zoran Obradovic (KDD, 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)

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)

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels. - Ameen Abdel Hai; Tatjana Dokic; Martin Pavlovski; Taif Mohamed; Daniel Saranovic; Mohammad Alqudah 002; Mladen Kezunovic; Zoran Obradovic (IEEE Access, 2021)

Learning Semi-Structured Representations of Radiology Reports. - Tamara Katic; Martin Pavlovski; Danijela Sekulic; Slobodan Vucetic (CoRR, 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)

Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. - Martin Pavlovski; Mohammad Alqudah 002; Tatjana Dokic; Ameen Abdel Hai; Mladen Kezunovic; Zoran Obradovic (IEEE Trans. Instrum. Meas., 2021)

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 (DASFAA (2), 2022)

Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning. - Weixian Zong; Fang Zhou; Martin Pavlovski; Weining Qian (DASFAA (2), 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 (ICMLA, 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)

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 (KDD, 2023)

Aligning Comments to News Articles on a Budget. - Jumanah Alshehri; Martin Pavlovski; Eduard C. Dragut; Zoran Obradovic (IEEE Access, 2023)

Targeted Detection of Anomalous Merchants on Integrated Payment Platforms via Multifaceted Transaction Representation Learning. - Guanyu Lu; Xiang Lin; Martin Pavlovski; Xinyu Zhang; Fang Zhou (IEEE Big Data, 2024)

GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels. - Rulan Wei; Zewei He; Martin Pavlovski; Fang Zhou (CIKM, 2024)

Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation. - Yingzhi Miao; Martin Pavlovski; Zhiqiang Chen; Fang Zhou (DASFAA (2), 2024)

A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest. - Guanyu Lu; Fang Zhou; Martin Pavlovski; Chenyi Zhou; Cheqing Jin (ICDE, 2024)

Learning legal text representations via disentangling elements. - Yingzhi Miao; Fang Zhou; Martin Pavlovski; Weining Qian (Expert Syst. Appl., 2024)