default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZoran Obradovic
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c169]Hussain Otudi
, Shelly Gupta, Zoran Obradovic:
Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. EANN 2024: 220-234- [c168]Rashid Baembitov, Mladen Kezunovic, Daniel Saranovic, Zoran Obradovic:
Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. HICSS 2024: 3150-3159 - [c167]Abdulrahman Alharbi, Ameen Abdel Hai, Rafaa Aljurbua, Zoran Obradovic:
AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT. AIAI (2) 2024: 3-17 - [c166]William Power, Zoran Obradovic:
Generating Profiles of News Commentators with Language Models. AIAI (2) 2024: 47-59 - [c165]Shelly Gupta, Jumanah Alshehri, Ameen Abdel Hai, Hussain Otudi, Zoran Obradovic:
From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering. AIAI (4) 2024: 290-304 - 2023
- [j92]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) - [j91]Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic:
Automated Power System Fault Prediction and Precursor Discovery Using Multi-Modal Data. IEEE Access 11: 7283-7296 (2023) - [j90]Jumanah Alshehri, Martin Pavlovski, Eduard C. Dragut, Zoran Obradovic:
Aligning Comments to News Articles on a Budget. IEEE Access 11: 18900-18909 (2023) - [j89]Mohammad Alqudah, Zoran Obradovic:
Enhancing Weather-Related Outage Prediction and Precursor Discovery Through Attention-Based Multi-Level Modeling. IEEE Access 11: 94840-94851 (2023) - [j88]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) - [j87]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) - [j86]Athanasia Polychronopoulou, Jumanah Alshehri, Zoran Obradovic:
Quantum-inspired measures of network distinguishability. Soc. Netw. Anal. Min. 13(1): 69 (2023) - [c164]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 - [c163]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 - [c162]William Power, Zoran Obradovic:
Understanding Online Attitudes with Pre-Trained Language Models. ASONAM 2023: 745-752 - [c161]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
- [j85]Zoran Obradovic:
Call for Papers: Big Data. Big Data 10(4): 277-278 (2022) - [j84]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) - [j83]Milan Basic, Branko Arsic, Zoran Obradovic:
Another estimation of Laplacian spectrum of the Kronecker product of graphs. Inf. Sci. 609: 605-625 (2022) - [c160]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 - [c159]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 - [c158]Zoran Obradovic:
Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. COMPLEXIS 2022: 5 - [c157]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 - [c156]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 - [c155]Marija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic:
Predicting anxiety treatment outcomes with machine learning. ICMLA 2022: 957-962 - [c154]Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic:
Software package for regression algorithms based on Gaussian Conditional Random Fields. ICMLA 2022: 1121-1128 - [c153]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 - [c152]Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic:
On Label Quality in Class Imbalance Setting -A Case Study. ICMLA 2022: 1666-1671 - [c151]Zoran Obradovic:
Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. IoTBDS 2022: 7 - [c150]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 - [c149]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 - [c148]Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Leveraging Dependencies among Learned Temporal Subsequences. SDM 2022: 504-512 - [i10]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
- [j82]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) - [j81]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) - [j80]Bi Zhao, Akila Katuwawala, Christopher J. Oldfield, A. Keith Dunker, Eshel Faraggi, Jörg Gsponer, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Zoran Obradovic, Johannes Söding, Martin Steinegger, Yaoqi Zhou, Lukasz A. Kurgan:
DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res. 49(Database-Issue): D298-D308 (2021) - [j79]Martin Pavlovski, Mohammad Alqudah, Tatjana Dokic, Ameen Abdel Hai, Mladen Kezunovic, Zoran Obradovic:
Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c147]Athanasia Polychronopoulou, Jumanah Alshehri, Zoran Obradovic:
Distinguishability of graphs: a case for quantum-inspired measures. ASONAM 2021: 48-55 - [c146]Athanasia Polychronopoulou, Fang Zhou, Zoran Obradovic:
Cosine similarity for multiplex network summarization. ASONAM 2021: 56-63 - [c145]Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic:
Stay on Topic, Please: Aligning User Comments to the Content of a News Article. ECIR (1) 2021: 3-17 - [c144]Rashid Baembitov, Tatjana Dokic, Mladen Kezunovic, Yi Hu, Zoran Obradovic:
Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset using Big Data Analytics. HICSS 2021: 1-10 - [i9]Milan Basic, Branko Arsic, Zoran Obradovic:
Another estimation of Laplacian spectrum of the Kronecker product of graphs. CoRR abs/2102.02924 (2021) - [i8]Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic:
Stay on Topic, Please: Aligning User Comments to the Content of a News Article. CoRR abs/2103.06130 (2021) - 2020
- [j78]Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic:
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. 197: 105765 (2020) - [j77]Branimir Ljubic, Ameen Abdel Hai, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic:
Predicting complications of diabetes mellitus using advanced machine learning algorithms. J. Am. Medical Informatics Assoc. 27(9): 1343-1351 (2020) - [j76]Fang Zhou, Avrum Gillespie, Djordje Gligorijevic, Jelena Gligorijevic, Zoran Obradovic:
Use of disease embedding technique to predict the risk of progression to end-stage renal disease. J. Biomed. Informatics 105: 103409 (2020) - [j75]Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut:
On the dynamics of user engagement in news comment media. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c143]Mohammad Alqudah, Tatjana Djokic, Mladen Kezunovic, Zoran Obradovic:
Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast. HICSS 2020: 1-10 - [c142]William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic, Zoran Obradovic:
Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning. AIAI (2) 2020: 219-231 - [c141]Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic:
Time-Aware User Embeddings as a Service. KDD 2020: 3194-3202 - [i7]Quang Pham, Marija Stanojevic, Zoran Obradovic:
Extracting Entities and Topics from News and Connecting Criminal Records. CoRR abs/2005.00950 (2020)
2010 – 2019
- 2019
- [j74]Zoran Obradovic:
Editorial Message. Big Data 7(3): 139 (2019) - [j73]Zoran Obradovic:
Editorial Message. Big Data 7(4): 216-217 (2019) - [j72]Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic, Xiao Bai, Amit Goyal, Zoran Obradovic:
Deeply supervised model for click-through rate prediction in sponsored search. Data Min. Knowl. Discov. 33(5): 1446-1467 (2019) - [j71]Nouf Albarakati, Zoran Obradovic:
Multi-domain and multi-view networks model for clustering hospital admissions from the emergency department. Int. J. Data Sci. Anal. 8(4): 385-403 (2019) - [j70]Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic:
Optimizing clinical trials recruitment via deep learning. J. Am. Medical Informatics Assoc. 26(11): 1195-1202 (2019) - [j69]Branimir Ljubic, Djordje Gligorijevic, Jelena Gligorijevic, Martin Pavlovski, Zoran Obradovic:
Social network analysis for better understanding of influenza. J. Biomed. Informatics 93 (2019) - [j68]Xi Hang Cao, Chao Han, Lucas M. Glass, Allen Kindman, Zoran Obradovic:
Time-to-event estimation by re-defining time. J. Biomed. Informatics 100 (2019) - [c140]Marija Stanojevic, Jumanah Alshehri, Zoran Obradovic:
Surveying public opinion using label prediction on social media data. ASONAM 2019: 188-195 - [c139]Nima Asadi, Aunshul Rege, Zoran Obradovic:
Pattern discovery in intrusion chains and adversarial movement. CyberSA 2019: 1-4 - [c138]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 - [c137]Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic:
Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. SDM 2019: 360-368 - [c136]Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. SDM 2019: 495-503 - [c135]Marija Stanojevic, Jumanah Alshehri, Eduard C. Dragut, Zoran Obradovic:
Biased News Data Influence on Classifying Social Media Posts. NewsIR@SIGIR 2019: 3-8 - [i6]Milan Basic, Branko Arsic, Zoran Obradovic:
Further results on structured regression for multi-scale networks. CoRR abs/1909.00853 (2019) - 2018
- [j67]Zoran Obradovic:
Editorial Message. Big Data 6(2): 67-68 (2018) - [j66]Zoran Obradovic:
Editorial Message. Big Data 6(3): 171-172 (2018) - [j65]Irini Reljin, Zoran Obradovic, Mirjana B. Popovic, Valeri M. Mladenov:
New Methods for Analyzing Complex Biomedical Systems and Signals. Complex. 2018: 6405121:1-6405121:3 (2018) - [j64]Aunshul Rege, Zoran Obradovic, Nima Asadi, Edward Parker, Rohan Pandit, Nicholas Masceri, Brian Singer:
Predicting Adversarial Cyber-Intrusion Stages Using Autoregressive Neural Networks. IEEE Intell. Syst. 33(2): 29-39 (2018) - [j63]Vladisav Jelisavcic, Ivan Stojkovic, Veljko Milutinovic, Zoran Obradovic:
Fast learning of scale-free networks based on Cholesky factorization. Int. J. Intell. Syst. 33(6): 1322-1339 (2018) - [j62]Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo:
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 47(3): 32-35 (2018) - [j61]Milos Jordanski, Milos D. Radovic, Zarko Milosevic, Nenad Filipovic, Zoran Obradovic:
Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models. IEEE J. Biomed. Health Informatics 22(2): 537-544 (2018) - [c134]Nima Asadi, Aunshul Rege, Zoran Obradovic:
Analysis of Adversarial Movement Through Characteristics of Graph Topological Ordering. CyberSA 2018: 1-6 - [c133]Mladen Kezunovic, Zoran Obradovic, Tatjana Djokic, Shoumik Roychoudhury:
Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications. HICSS 2018: 1-10 - [c132]Xi Hang Cao, Chao Han, Zoran Obradovic:
Learning a Dynamic-Based Representation for Multivariate Biomarker Time Series Classifications. ICHI 2018: 163-173 - [c131]Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic:
Generalization-Aware Structured Regression towards Balancing Bias and Variance. IJCAI 2018: 2616-2622 - [c130]Nima Asadi, Aunshul Rege, Zoran Obradovic:
Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology. SBP-BRiMS 2018: 401-407 - [c129]Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic:
Deep Attention Model for Triage of Emergency Department Patients. SDM 2018: 297-305 - [c128]Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic:
Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. SIGIR 2018: 1021-1024 - [c127]Xi Hang Cao, Zoran Obradovic, Kyungnam Kim:
A Simple yet Effective Model for Zero-Shot Learning. WACV 2018: 766-774 - [i5]Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic:
Semi-supervised learning for structured regression on partially observed attributed graphs. CoRR abs/1803.10705 (2018) - [i4]Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic, Xiao Bai, Amit Goyal, Zoran Obradovic:
Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search. CoRR abs/1803.10739 (2018) - [i3]Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic:
Modeling Customer Engagement from Partial Observations. CoRR abs/1803.10799 (2018) - [i2]Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic:
Improving confidence while predicting trends in temporal disease networks. CoRR abs/1803.11462 (2018) - [i1]Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic:
Deep Attention Model for Triage of Emergency Department Patients. CoRR abs/1804.03240 (2018) - 2017
- [j60]Milos D. Radovic, Mohamed F. Ghalwash, Nenad Filipovic, Zoran Obradovic:
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. BMC Bioinform. 18(1): 9:1-9:14 (2017) - [j59]Ivan Stojkovic, Zoran Obradovic:
Sparse Learning of the Disease Severity Score for High-Dimensional Data. Complex. 2017: 7120691:1-7120691:11 (2017) - [j58]Jesse Glass, Zoran Obradovic:
Structured Regression on Multiscale Networks. IEEE Intell. Syst. 32(2): 23-30 (2017) - [j57]Tijana Vujicic, Jesse Glass, Fang Zhou, Zoran Obradovic:
Gaussian conditional random fields extended for directed graphs. Mach. Learn. 106(9-10): 1271-1288 (2017) - [j56]Jelena Stojanovic, Djordje Gligorijevic, Vladan Radosavljevic, Nemanja Djuric, Mihajlo Grbovic, Zoran Obradovic:
Modeling Healthcare Quality via Compact Representations of Electronic Health Records. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 545-554 (2017) - [j55]Boris Delibasic, Petar Markovic, Pavlos Delias, Zoran Obradovic:
Mining Skier Transportation Patterns From Ski Resort Lift Usage Data. IEEE Trans. Hum. Mach. Syst. 47(3): 417-422 (2017) - [c126]Chao Han, Mohamed F. Ghalwash, Zoran Obradovic:
Continuous Conditional Dependency Network for Structured Regression. AAAI 2017: 1962-1968 - [c125]Ivan Stojkovic, Zoran Obradovic:
Predicting Sepsis Biomarker Progression under Therapy. CBMS 2017: 19-24 - [c124]Nouf Albarakati, Zoran Obradovic:
Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach. CBMS 2017: 636-641 - [c123]Aunshul Rege, Zoran Obradovic, Nima Asadi, Brian Singer, Nicholas Masceri:
A temporal assessment of cyber intrusion chains using multidisciplinary frameworks and methodologies. CyberSA 2017: 1-7 - [c122]Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic:
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization. IJCAI 2017: 2758-2764 - [c121]Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic:
Adaptive Skip-Train Structured Regression for Temporal Networks. ECML/PKDD (2) 2017: 305-321 - [c120]Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic:
Cost Sensitive Time-Series Classification. ECML/PKDD (2) 2017: 495-511 - [c119]Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic:
Ranking Based Multitask Learning of Scoring Functions. ECML/PKDD (2) 2017: 721-736 - [c118]Aunshul Rege, Zoran Obradovic, Nima Asadi, Edward Parker, Nicholas Masceri, Brian Singer, Rohan Pandit:
Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks. SBP-BRiMS 2017: 127-132 - [c117]Tamiris Trevisan Negri, Fang Zhou, Zoran Obradovic, Adilson Gonzaga:
A Robust Descriptor for Color Texture Classification Under Varying Illumination. VISIGRAPP (4: VISAPP) 2017: 378-388 - [e2]Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda:
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2715-0 [contents] - 2016
- [j54]Mohamed F. Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic:
Structured feature selection using coordinate descent optimization. BMC Bioinform. 17: 158 (2016) - [j53]Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic:
A robust data scaling algorithm to improve classification accuracies in biomedical data. BMC Bioinform. 17: 359 (2016) - [j52]Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic:
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data 10(4): 37:1-37:4 (2016) - [c116]Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic:
Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. AAAI 2016: 1596-1602 - [c115]Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic:
Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks. AAAI 2016: 1603-1609 - [c114]Fang Zhou, Mohamed F. Ghalwash, Zoran Obradovic:
A fast structured regression for large networks. IEEE BigData 2016: 106-115 - [c113]Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic:
Modeling Customer Engagement from Partial Observations. CIKM 2016: 1403-1412 - [c112]Jesse Glass, Zoran Obradovic:
Shape Invariant Formulation for Change Point Models in Multiple Dimensions. ECAI 2016: 1688-1689 - [c111]Tatjana Djokic, Payman Dehghanian, Po-Chen Chen, Mladen Kezunovic, Zenon Medina-Cetina, Jelena Stojanovic, Zoran Obradovic:
Risk Assessment of a Transmission Line Insulation Breakdown Due to Lightning and Severe Weather. HICSS 2016: 2488-2497 - [c110]Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic:
Distance Based Modeling of Interactions in Structured Regression. IJCAI 2016: 2032-2038 - [c109]Athanasia Polychronopoulou, Zoran Obradovic:
Structured Regression on Multilayer Networks. SDM 2016: 612-620 - [c108]Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic:
Joint Learning of Representation and Structure for Sparse Regression on Graphs. SDM 2016: 846-854 - [c107]Tom Mirowski, Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification. SocInfo (1) 2016: 273-289 - 2015
- [j51]Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson:
Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. 29(4): 867-870 (2015) - [j50]Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic:
Patient-specific early classification of multivariate observations. Int. J. Data Min. Bioinform. 11(4): 392-411 (2015) - [j49]