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Publication search results
found 269 matches
- 2024
- Rashid Baembitov, Mladen Kezunovic, Daniel Saranovic, Zoran Obradovic:
Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. HICSS 2024: 3150-3159 - 2023
- Rafaa Aljurbua, Jumanah Alshehri, Abdulrahman Alharbi, William Power, Zoran Obradovic:
Social Media Sensors for Weather-Caused Outage Prediction Based on Spatio-Temporal Multiplex Network Representation. IEEE Access 11: 125883-125896 (2023) - Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic:
Automated Power System Fault Prediction and Precursor Discovery Using Multi-Modal Data. IEEE Access 11: 7283-7296 (2023) - Mohammad Alqudah, Zoran Obradovic:
Enhancing Weather-Related Outage Prediction and Precursor Discovery Through Attention-Based Multi-Level Modeling. IEEE Access 11: 94840-94851 (2023) - Jumanah Alshehri, Martin Pavlovski, Eduard C. Dragut, Zoran Obradovic:
Aligning Comments to News Articles on a Budget. IEEE Access 11: 18900-18909 (2023) - Rashid Baembitov, Mladen Kezunovic, Keith A. Brewster, Zoran Obradovic:
Incorporating Wind Modeling Into Electric Grid Outage Risk Prediction and Mitigation Solution. IEEE Access 11: 4373-4380 (2023) - Marija Stanojevic, Jovan Andjelkovic, Adrienne Kasprowicz, Louise A. Huuki, Jennifer Chao, S. Blair Hedges, Sudhir Kumar, Zoran Obradovic:
Discovering research articles containing evolutionary timetrees by machine learning. Bioinform. 39(1) (2023) - Athanasia Polychronopoulou, Jumanah Alshehri, Zoran Obradovic:
Quantum-inspired measures of network distinguishability. Soc. Netw. Anal. Min. 13(1): 69 (2023) - Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin:
Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. AIME 2023: 130-139 - Hussain Otudi, Shelly Gupta, Nouf Albarakati, Zoran Obradovic:
Classifying Severe Weather Events by Utilizing Social Sensor Data and Social Network Analysis. ASONAM 2023: 64-71 - William Power, Zoran Obradovic:
Understanding Online Attitudes with Pre-Trained Language Models. ASONAM 2023: 745-752 - Hussain Otudi, Taif Mohamed, Mladen Kezunovic, Yi Hu, Zoran Obradovic:
Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings. HICSS 2023: 2641-2650 - 2022
- Zoran Obradovic:
Call for Papers: Big Data. Big Data 10(4): 277-278 (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): 1601-1622 (2022) - Milan Basic, Branko Arsic, Zoran Obradovic:
Another estimation of Laplacian spectrum of the Kronecker product of graphs. Inf. Sci. 609: 605-625 (2022) - Ameen Abdel Hai, Mark G. Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah R. Brown, Zoran Obradovic, Daniel J. Rubin:
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes. AMIA 2022 - Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut:
Session-based News Recommendation from Temporal User Commenting Dynamics. ASONAM 2022: 163-170 - Zoran Obradovic:
Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. COMPLEXIS 2022: 5 - 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 - Hussain Otudi, Tatjana Dokic, Taif Mohamed, Mladen Kezunovic, Yi Hu, Zoran Obradovic:
Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements. HICSS 2022: 1-10 - Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic:
On Label Quality in Class Imbalance Setting -A Case Study. ICMLA 2022: 1666-1671 - 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 - Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic:
Software package for regression algorithms based on Gaussian Conditional Random Fields. ICMLA 2022: 1121-1128 - Marija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic:
Predicting anxiety treatment outcomes with machine learning. ICMLA 2022: 957-962 - Zoran Obradovic:
Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. IoTBDS 2022: 7 - Taif Mohamed, Mladen Kezunovic, Zoran Obradovic, Yi Hu, Zheyuan Cheng:
Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis. ISGT-Europe 2022: 1-5 - Jumanah Alshehri, Marija Stanojevic, Parisa Khan, Benjamin Rapp, Eduard C. Dragut, Zoran Obradovic:
MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer Graphs. ECML/PKDD (2) 2022: 671-687 - Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Leveraging Dependencies among Learned Temporal Subsequences. SDM 2022: 504-512 - Mohammad Alqudah, Tatjana Dokic, Mladen Kezunovic, Zoran Obradovic:
Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast. CoRR abs/2206.08832 (2022) - 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: 127420-127432 (2021)
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