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Martin Pavlovski
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2020 – today
- 2024
- [j11]Yingzhi Miao
, Fang Zhou
Learning legal text representations via disentangling elements. Expert Syst. Appl. 249: 123749 (2024) - [c11]Rulan Wei
GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels. CIKM 2024: 2513-2522 - [c10]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: 775-788 - 2023
- [j10]Jumanah Alshehri
Aligning Comments to News Articles on a Budget. IEEE Access 11: 18900-18909 (2023) - [c9]Martin Pavlovski
Extreme Multi-Label Classification for Ad Targeting using Factorization Machines. KDD 2023: 4705-4716 - 2022
- [j9]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): 1601-1622 (2022) - [c8]Weixian Zong, Fang Zhou, Martin Pavlovski, Weining Qian:
Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning. DASFAA (2) 2022: 506-522 - [c7]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: 689-696 - [c6]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: 1567-1572 - 2021
- [j8]Ameen Abdel Hai
Transfer Learning for Event Detection From PMU Measurements With Scarce Labels. IEEE Access 9: 127420-127432 (2021) - [j7]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): 335-348 (2021) - [j6]Martin Pavlovski
Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [i3]Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic:
Learning Semi-Structured Representations of Radiology Reports. CoRR abs/2112.10746 (2021) - 2020
- [j5]Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. 197: 105765 (2020) - [j4]Branimir Ljubic
Predicting complications of diabetes mellitus using advanced machine learning algorithms. J. Am. Medical Informatics Assoc. 27(9): 1343-1351 (2020) - [c5]William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic
Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning. AIAI (2) 2020: 219-231 - [c4]Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic
Time-Aware User Embeddings as a Service. KDD 2020: 3194-3202
2010 – 2019
- 2019
- [j3]Jelena Gligorijevic
Optimizing clinical trials recruitment via deep learning. J. Am. Medical Informatics Assoc. 26(11): 1195-1202 (2019) - [j2]Branimir Ljubic
Social network analysis for better understanding of influenza. J. Biomed. Informatics 93 (2019) - [c3]Tatjana Dokic, Martin Pavlovski, Djordje Gligorijevic, Mladen Kezunovic, Zoran Obradovic:
Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission. HICSS 2019: 1-10 - [i2]Nino Arsov, Martin Pavlovski, Ljupco Kocarev:
Stacking and stability. CoRR abs/1901.09134 (2019) - [i1]Nino Arsov, Martin Pavlovski, Ljupco Kocarev:
Stability of decision trees and logistic regression. CoRR abs/1903.00816 (2019) - 2018
- [c2]Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic:
Generalization-Aware Structured Regression towards Balancing Bias and Variance. IJCAI 2018: 2616-2622 - 2017
- [j1]Martin Pavlovski
Improving Power Grid Stability With Communication Infrastructure. IEEE J. Emerg. Sel. Topics Circuits Syst. 7(3): 349-358 (2017) - [c1]Martin Pavlovski, Fang Zhou, Ivan Stojkovic
Adaptive Skip-Train Structured Regression for Temporal Networks. ECML/PKDD (2) 2017: 305-321
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last updated on 2024-12-02 21:32 CET by the dblp team
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