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Zoran Obradovic
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2020 – today
- 2024
- [c171]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 - [c170]Shelly Gupta, Ameen Abdel Hai, Abdulrahman Alharbi, Hussain Otudi, Zoran Obradovic:
Exploring Topic-Related User Experiences Through Social Graph. ECIS 2024 - [c169]Rashid Baembitov, Mladen Kezunovic, Daniel Saranovic, Zoran Obradovic:
Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. HICSS 2024: 3150-3159 - [c168]Rafaa Aljurbua, Avrum Gillespie, Jumanah Alshehri, Abdulrahman Alharbi, Nouf Albarakati, Zoran Obradovic:
Node2VecFuseClassifier: Bridging Perspectives in Modeling Transplantation Attitudes Among Dialysis Patients. ICHI 2024: 113-122 - [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]George Mathew, Zoran Obradovic:
A distributed decision support algorithm that preserves personal privacy. J. Intell. Inf. Syst. 44(1): 107-132 (2015) - [j48]Nemanja Djuric, Vladan Radosavljevic, Zoran Obradovic, Slobodan Vucetic:
Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals. IEEE Geosci. Remote. Sens. Lett. 12(4): 761-765 (2015) - [j47]Debasish Das, Auroop R. Ganguly, Zoran Obradovic:
A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States. IEEE Trans. Geosci. Remote. Sens. 53(12): 6689-6702 (2015) - [c106]Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME 2015: 96-100 - [c105]Dusan Ramljak, Adam Davey, Alexey Uversky, Shoumik Roychoudhury, Zoran Obradovic:
Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses. AMIA 2015 - [c104]Xi Hang Cao, Zoran Obradovic:
A robust data scaling algorithm for gene expression classification. BIBE 2015: 1-4 - [c103]Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic:
False alarm suppression in early prediction of cardiac arrhythmia. BIBE 2015: 1-6 - [c102]Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO 2015: 695-706 - [c101]Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic:
Semi-supervised learning for structured regression on partially observed attributed graphs. SDM 2015: 217-225 - 2014
- [j46]Vladimir Ouzienko, Zoran Obradovic:
Imputation of missing links and attributes in longitudinal social surveys. Mach. Learn. 95(3): 329-356 (2014) - [j45]Alexey Uversky, Dusan Ramljak, Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic:
Panning for gold: using variograms to select useful connections in a temporal multigraph setting. Soc. Netw. Anal. Min. 4(1): 211 (2014) - [c100]Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic:
Readmission Classification Using Stacked Regularized Logistic Regression Models. AMIA 2014 - [c99]Athanasia Polychronopoulou, Zoran Obradovic:
Hospital pricing estimation by Gaussian conditional random fields based regression on graphs. BIBM 2014: 564-567 - [c98]Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic:
Predicting Sepsis Severity from Limited Temporal Observations. Discovery Science 2014: 37-48 - [c97]Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. KDD 2014: 402-411 - [c96]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Neural Gaussian Conditional Random Fields. ECML/PKDD (2) 2014: 614-629 - [e1]Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy:
Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014. SIAM 2014, ISBN 978-1-61197-344-0 [contents] - 2013
- [j44]Ping Zhang, Weidan Cao, Zoran Obradovic:
Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics. BMC Bioinform. 14(S-12): S5 (2013) - [j43]Qiang Lou, Zoran Obradovic:
Classifying Temporal microarray Data by Selecting Informative genes. J. Bioinform. Comput. Biol. 11(3) (2013) - [j42]Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough:
D2P2: database of disordered protein predictions. Nucleic Acids Res. 41(Database-Issue): 508-516 (2013) - [j41]George Mathew, Zoran Obradovic:
Dynamic distributed predictive learning models that preserve privacy for hospitals with insufficient labeled data. Netw. Model. Anal. Health Informatics Bioinform. 2(4): 245-255 (2013) - [j40]George Mathew, Zoran Obradovic:
Distributed Privacy-Preserving Decision Support System for Highly Imbalanced Clinical Data. ACM Trans. Manag. Inf. Syst. 4(3): 12:1-12:15 (2013) - [c95]Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. AAAI 2013: 840-846 - [c94]Alexey Uversky, Dusan Ramljak, Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic:
Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs. ASONAM 2013: 676-683 - [c93]George Mathew, Zoran Obradovic:
Poster: Auto-reduction of features for containing communication costs in a distributed privacy-preserving clinical decision support system. ICCABS 2013: 1 - [c92]Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Extraction of Interpretable Multivariate Patterns for Early Diagnostics. ICDM 2013: 201-210 - [c91]Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment. ICHI 2013: 523-528 - [c90]George Mathew, Zoran Obradovic:
Improving Computational Efficiency for Personalized Medical Applications in Mobile Cloud Computing Environment. ICHI 2013: 535-540 - [c89]Gregor Stiglic, Adam Davey, Zoran Obradovic:
Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions. ICHI 2013: 557-562 - [c88]Ping Zhang, Pankaj Agarwal, Zoran Obradovic:
Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources. ECML/PKDD (3) 2013: 579-594 - 2012
- [j39]Mohamed F. Ghalwash, Zoran Obradovic:
Early classification of multivariate temporal observations by extraction of interpretable shapelets. BMC Bioinform. 13: 195 (2012) - [j38]Li An, Haibin Ling, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou:
Learning pair-wise gene functional similarity by multiplex gene expression maps. BMC Bioinform. 13(S-3): S1 (2012) - [j37]Milija Suknovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Dragana Becejski-Vujaklija, Zoran Obradovic:
Reusable components in decision tree induction algorithms. Comput. Stat. 27(1): 127-148 (2012) - [j36]Dairong Wang, Henry P. Parkman, Michael R. Jacobs, Anurag K. Mishra, Evgeny Krynetskiy, Zoran Obradovic:
DNA microarray SNP associations with clinical efficacy and side effects of domperidone treatment for gastroparesis. J. Biomed. Informatics 45(2): 316-322 (2012) - [j35]Kosta Ristovski, Slobodan Vucetic, Zoran Obradovic:
Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval. IEEE Trans. Geosci. Remote. Sens. 50(2): 409-414 (2012) - [c87]Qiang Lou, Zoran Obradovic:
Margin-Based Feature Selection in Incomplete Data. AAAI 2012: 1040-1046 - [c86]Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic:
Early classification of multivariate time series using a hybrid HMM/SVM model. BIBM 2012: 1-6 - [c85]Qiang Lou, Zoran Obradovic:
Predicting viral infection by selecting informative biomarkers from temporal high-dimensional gene expression data. BIBM 2012: 1-4 - [c84]Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic:
A data mining approach for optimization of acute inflammation therapy. BIBM 2012: 1-6 - [c83]Ping Zhang, Zoran Obradovic:
Integration of multiple annotators by aggregating experts and filtering novices. BIBM 2012: 1-6 - [c82]Qiang Lou, Henry P. Parkman, Michael R. Jacobs, Evgeny Krynetskiy, Zoran Obradovic:
Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space. CIBCB 2012: 156-163 - [c81]Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic:
A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. CIBCB 2012: 252-259 - [c80]Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly:
Mining Extremes: Severe Rainfall and Climate Change. ECAI 2012: 899-900 - [c79]Boris Delibasic, Zoran Obradovic:
Towards a DGSS Prototype for Early Warning for Ski Injuries. ICDE Workshops 2012: 68-72 - [c78]Qiang Lou, Zoran Obradovic:
Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates. ICDM 2012: 996-1001 - [c77]George Mathew, Zoran Obradovic:
Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data. ICMLA (2) 2012: 178-183 - [c76]Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic:
Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. ICMLA (1) 2012: 458-463 - [c75]Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic:
Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS 2012: 1948-1951 - [c74]Joseph Jupin, Justin Y. Shi, Zoran Obradovic:
Understanding Cloud Data Using Approximate String Matching and Edit Distance. SC Companion 2012: 1234-1243 - 2011
- [j34]Gordana Pavlovic-Lazetic, Nenad S. Mitic, Jovana J. Kovacevic, Zoran Obradovic, Sasa N. Malkov, Milos V. Beljanski:
Bioinformatics analysis of disordered proteins in prokaryotes. BMC Bioinform. 12: 66 (2011) - [j33]Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic:
Component-based decision trees for classification. Intell. Data Anal. 15(5): 671-693 (2011) - [j32]Alan J. Izenman, Philip W. Harris, Jeremy Mennis, Joseph Jupin, Zoran Obradovic:
Local spatial biclustering and prediction of urban juvenile delinquency and recidivism. Stat. Anal. Data Min. 4(3): 259-275 (2011) - [j31]Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic:
A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. Stat. Anal. Data Min. 4(5): 470-486 (2011) - [c73]Li An, Haibin Ling, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou:
Identifying pair-wise gene functional similarity by multiplex gene expression maps and supervised learning. BCB 2011: 182-190 - [c72]George Mathew, Zoran Obradovic:
Constraint graphs as security filters for privacy assurance in medical transactions. BCB 2011: 502-504 - [c71]Uros Midic, Zoran Obradovic:
Intrinsic Disorder in Putative Protein Sequences. BIBM 2011: 43-48 - [c70]Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic:
Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. BIBM 2011: 574-577 - [c69]George Mathew, Zoran Obradovic:
A privacy-preserving framework for distributed clinical decision support. ICCABS 2011: 129-134 - [c68]Vladimir Ouzienko, Zoran Obradovic:
Imputation of Missing Links and Attributes in Longitudinal Social Surveys. ICDM Workshops 2011: 957-964 - [c67]Qiang Lou, Zoran Obradovic:
Modeling Multivariate Spatio-Temporal Remote Sensing Data with Large Gaps. IJCAI 2011: 1711-1716 - [c66]Ping Zhang, Zoran Obradovic:
Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion. ECML/PKDD (3) 2011: 553-568 - 2010
- [j30]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures. IEEE Geosci. Remote. Sens. Lett. 7(2): 411-415 (2010) - [c65]Li An, Desmond J. Smith, Hongbo M. Xie, Vasileios Megalooikonomou, Zoran Obradovic:
Identifying gene functions using functional expression profiles obtained by voxelation. BCB 2010: 188-197 - [c64]Ping Zhang, Zoran Obradovic:
Unsupervised integration of multiple protein disorder predictors. BIBM 2010: 49-52 - [c63]George Mathew, Zoran Obradovic:
Vocabularies in collaboration channels. CollaborateCom 2010: 1-5 - [c62]Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic:
Regression Learning with Multiple Noisy Oracles. ECAI 2010: 445-450 - [c61]Qiang Lou, Zoran Obradovic:
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space. ECAI 2010: 797-802 - [c60]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Continuous Conditional Random Fields for Regression in Remote Sensing. ECAI 2010: 809-814 - [c59]Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic:
Prediction of Attributes and Links in Temporal Social Networks. ECAI 2010: 1121-1122 - [c58]Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic:
Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. KDIR 2010: 370-375
2000 – 2009
- 2009
- [j29]Li An, Hongbo M. Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou:
Analysis of multiplex gene expression maps obtained by voxelation. BMC Bioinform. 10(S-4) (2009) - [j28]Zoran Obradovic, Huan Liu:
Special issue on the best papers of SDM'09. Stat. Anal. Data Min. 2(5-6): 291-293 (2009) - [c57]Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen, Zoran Obradovic, A. Keith Dunker, Dong Xu:
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants. BICoB 2009: 18-29 - [c56]Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic:
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data. DaWaK 2009: 366-377 - [c55]Debasish Das, Zoran Obradovic, Slobodan Vucetic:
Active Selection of Sensor Sites in Remote Sensing Applications. ICDM 2009: 758-763 - [c54]Uros Midic, A. Keith Dunker, Zoran Obradovic:
Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 27-31 - [c53]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 71-78 - 2008
- [j27]Vasileios Megalooikonomou, Despina Kontos, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic:
An adaptive partitioning approach for mining discriminant regions in 3D image data. J. Intell. Inf. Syst. 31(3): 217-242 (2008) - [j26]Slobodan Vucetic, Bo Han, Wen Mi, Zhanquing Li, Zoran Obradovic:
A Data-Mining Approach for the Validation of Aerosol Retrievals. IEEE Geosci. Remote. Sens. Lett. 5(1): 113-117 (2008) - [c52]Li An, Hongbo M. Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou:
Analysis of Multiplex Gene Expression Maps Obtained by Voxelation. BIBM 2008: 23-28 - [c51]Siyuan Ren, Zoran Obradovic:
Improvement of Survival Prediction from Gene Expression Profiles by Mining of Prior Knowledge. BIBM 2008: 372-375 - [c50]Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. IGARSS (2) 2008: 879-882 - [c49]Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic:
Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. SDM 2008: 165-176 - [c48]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. SDM 2008: 609-620 - 2007
- [j25]Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.:
ProtBuD: a database of biological unit structures of protein families and superfamilies. Bioinform. 23(15): 2028 (2007) - [j24]Uros Midic, A. Keith Dunker, Zoran Obradovic:
Exploring alternative knowledge representations for protein secondary-structure prediction. Int. J. Data Min. Bioinform. 1(3): 286-313 (2007) - [j23]Megan Sickmeier, Justin A. Hamilton, Tanguy LeGall, Vladimir Vacic, Marc S. Cortese, Ágnes Tantos, Beáta Szabó, Peter Tompa, Jake Yue Chen, Vladimir N. Uversky, Zoran Obradovic, A. Keith Dunker:
DisProt: the Database of Disordered Proteins. Nucleic Acids Res. 35(Database-Issue): 786-793 (2007) - [c47]A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky:
Intrinsically Disordered Proteins: Predictions and Applications. BIBE 2007: 1 - [c46]A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky:
Intrinsically Disordered Proteins: An Update. BIBE 2007: 49-58 - 2006
- [j22]Bo Han, Zoran Obradovic, Zhang-Zhi Hu, Cathy H. Wu, Slobodan Vucetic:
Substring selection for biomedical document classification. Bioinform. 22(17): 2136-2142 (2006) - [j21]Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.:
ProtBuD: a database of biological unit structures of protein families and superfamilies. Bioinform. 22(23): 2876-2882 (2006) - [j20]Kang Peng, Predrag Radivojac, Slobodan Vucetic, A. Keith Dunker, Zoran Obradovic:
Length-dependent prediction of protein intrinsic disorder. BMC Bioinform. 7: 208 (2006) - [j19]Bo Han, Slobodan Vucetic, Amy Braverman, Zoran Obradovic:
A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data. Eng. Appl. Artif. Intell. 19(7): 787-795 (2006) - [c45]Yilian Qin, Zoran Obradovic:
Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation. ECAI 2006: 526-530 - [c44]Bo Han, Zoran Obradovic, Zhanquing Li, Slobodan Vucetic:
Data Mining Support for the Improvement of MODIS Aerosol Retrievals. IGARSS 2006: 2453-2456 - [c43]Min Song, Il-Yeol Song, Robert B. Allen, Zoran Obradovic:
Keyphrase extraction-based query expansion in digital libraries. JCDL 2006: 202-209 - 2005
- [j18]Dragoljub Pokrajac, Vasileios Megalooikonomou, Aleksandar Lazarevic, Despina Kontos, Zoran Obradovic:
Applying spatial distribution analysis techniques to classification of 3D medical images. Artif. Intell. Medicine 33(3): 261-280 (2005) - [j17]Slobodan Vucetic, Zoran Obradovic, Vladimir Vacic, Predrag Radivojac, Kang Peng, Lilia M. Iakoucheva, Marc S. Cortese, J. David Lawson, Celeste J. Brown, Jason G. Sikes, Crystal D. Newton, A. Keith Dunker:
DisProt: a database of protein disorder. Bioinform. 21(1): 137-140 (2005) - [j16]Kang Peng, Slobodan Vucetic, Predrag Radivojac, Celeste J. Brown, A. Keith Dunker, Zoran Obradovic:
Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information. J. Bioinform. Comput. Biol. 3(1): 35-60 (2005) - [j15]Slobodan Vucetic, Zoran Obradovic:
Collaborative Filtering Using a Regression-Based Approach. Knowl. Inf. Syst. 7(1): 1-22 (2005) - [c42]Uros Midic, A. Keith Dunker, Zoran Obradovic:
Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments. CIBCB 2005: 490-497 - [c41]Kang Peng, Slobodan Vucetic, Zoran Obradovic:
Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. SDM 2005: 621-625 - 2004
- [j14]Predrag Radivojac, Nitesh V. Chawla, A. Keith Dunker, Zoran Obradovic:
Classification and knowledge discovery in protein databases. J. Biomed. Informatics 37(4): 224-239 (2004) - [c40]Kang Peng, Zoran Obradovic, Slobodan Vucetic:
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. ECAI 2004: 623-627 - [c39]Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic:
Feature Selection Filters Based on the Permutation Test. ECML 2004: 334-346 - [c38]Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin:
Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. MICCAI (2) 2004: 727-735 - [c37]Kang Peng, Zoran Obradovic, Slobodan Vucetic:
Exploring Bias in the Protein Data Bank Using Contrast Classifiers. Pacific Symposium on Biocomputing 2004: 435-446 - 2003
- [j13]Dragoljub Pokrajac, Reed L. Hoskinson, Zoran Obradovic:
Modeling Spatial-Temporal Data with a Short Observation History. Knowl. Inf. Syst. 5(3): 368-386 (2003) - [c36]Kang Peng, Slobodan Vucetic, Bo Han, Hongbo M. Xie, Zoran Obradovic:
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. ICDM 2003: 267-274 - [c35]Bo Han, Slobodan Vucetic, Zoran Obradovic:
Reranking Medline Citations by Relevance to a Difficult Biological Query. Neural Networks and Computational Intelligence 2003: 38-43 - [c34]Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker:
Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions. Pacific Symposium on Biocomputing 2003: 216-227 - [c33]Slobodan Vucetic, Dragoljub Pokrajac, Hongbo M. Xie, Zoran Obradovic:
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. SDM 2003: 279-283 - 2002
- [j12]Aleksandar Lazarevic, Zoran Obradovic:
Boosting Algorithms for Parallel and Distributed Learning. Distributed Parallel Databases 11(2): 203-229 (2002) - [j11]Aleksandar Lazarevic, Zoran Obradovic:
Knowledge Discovery in Multiple Spatial Databases. Neural Comput. Appl. 10(4): 339-350 (2002) - [c32]Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker:
Improving Sequence Alignments For Intrinsically Disordered Proteins. Pacific Symposium on Biocomputing 2002: 589-600 - [c31]Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic:
Effective classification of 3D image data using partitioning methods. Visualization and Data Analysis 2002: 62-73 - 2001
- [j10]Aleksandar Lazarevic, Zoran Obradovic:
Adaptive boosting techniques in heterogeneous and spatial databases. Intell. Data Anal. 5(4): 285-308 (2001) - [c30]Slobodan Vucetic, Zoran Obradovic:
Classification on Data with Biased Class Distribution. ECML 2001: 527-538 - [c29]Aleksandar Lazarevic, Zoran Obradovic:
The distributed boosting algorithm. KDD 2001: 311-316 - [c28]Aleksandar Lazarevic, Zoran Obradovic:
Data Reduction Using Multiple Models Integration. PKDD 2001: 301-313 - [c27]R. M. Williams, Zoran Obradovic, V. Mathura, W. Braun, E. C. Garner, J. Young, S. Takayama, Celeste J. Brown, A. Keith Dunker:
The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder. Pacific Symposium on Biocomputing 2001: 89-100 - [c26]Aleksandar Lazarevic, Zoran Obradovic:
Boosting Localized Classifiers in Heterogeneous Databases. SDM 2001: 1-16 - [c25]Dragoljub Pokrajac, Zoran Obradovic:
Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History. SDM 2001: 1-17 - 2000
- [j9]Pedro Romero, Zoran Obradovic, A. Keith Dunker:
Intelligent Data Analysis for Protein Disorder Prediction. Artif. Intell. Rev. 14(6): 447-484 (2000) - [j8]Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic:
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explor. 2(2): 108-109 (2000) - [c24]Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic:
Distributed clustering and local regression for knowledge discovery in multiple spatial databases. ESANN 2000: 129-134 - [c23]Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez:
A tool for controlled knowledge discovery in spatial domains. ESM 2000: 26-32 - [c22]Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez:
Understanding the influence of noise, sampling density and data distribution on spatial prediction quality through the use of simulated data. ESM 2000: 706-708 - [c21]Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic:
A Software System for Spatial Data Analysis and Modeling. HICSS 2000 - [c20]Slobodan Vucetic, Zoran Obradovic:
Discovering Homogeneous Regions in Spatial Data through Competition. ICML 2000: 1095-1102 - [c19]Dragoljub Pokrajac, Zoran Obradovic:
Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. IJCNN (3) 2000: 103-108 - [c18]Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic:
Distributed and parallel knowledge discovery (workshop session - title only). KDD 2000: 534 - [c17]Slobodan Vucetic, Zoran Obradovic:
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. PAKDD 2000: 29-39 - [c16]Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic:
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD 2000: 329-340
1990 – 1999
- 1999
- [c15]Slobodan Vucetic, Tim Fiez, Zoran Obradovic:
A data partitioning scheme for spatial regression. IJCNN 1999: 2474-2479 - [c14]Aleksandar Lazarevic, Xiaowei Xu, Tim Fiez, Zoran Obradovic:
Clustering-regression-ordering steps for knowledge discovery in spatial databases. IJCNN 1999: 2530-2534 - [c13]Dragan Obradovic, Zoran Obradovic:
Efficient probability density balancing for supporting distributed knowledge discovery in large databases. IJCNN 1999: 2535-2538 - [c12]Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic:
Distribution comparison for site-specific regression modeling in agriculture. IJCNN 1999: 3937-3941 - 1998
- [c11]Alioune Ngom, Ivan Stojmenovic, Zoran Obradovic:
Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. ISMVL 1998: 209-214 - 1997
- [c10]Radu Drossu, Zoran Obradovic:
INFFC data analysis: lower bounds and testbed design recommendations. CIFEr 1997: 71-74 - [c9]Radu Drossu, Zoran Obradovic:
Regime Signaling Techniques for Non-stationary Time Series. HICSS (5) 1997: 530-538 - [c8]Pedro Romero, Zoran Obradovic, C. Kissinger, J. E. Villafranca, A. Keith Dunker:
Identifying disordered regions in proteins from amino acid sequence. ICNN 1997: 90-95 - 1996
- [j7]Tim Chenoweth, Zoran Obradovic, Sauchi Stephen Lee:
Embedding Technical Analysis Into Neural Network Based Trading Systems. Appl. Artif. Intell. 10(6): 523-542 (1996) - [j6]Tim Chenoweth, Zoran Obradovic:
A multi-component nonlinear prediction system for the S&P 500 Index. Neurocomputing 10(3): 275-290 (1996) - [j5]Zoran Obradovic, Iuri Mehr:
Parallel neural network learning through repetitive bounded depth trajectory branching. Neural Parallel Sci. Comput. 4(4): 475-492 (1996) - [c7]Radu Drossu, Zoran Obradovic, Justin Fletcher:
A Flexible Graphical User Interface to Heterogeneous Neural Network Simulators. ESM 1996: 273-277 - [c6]Srdjan Milenkovic, Zoran Obradovic, Vanco B. Litovski:
Annealing based dynamic learning in second-order neural networks. ICNN 1996: 458-463 - 1995
- [j4]Justin Fletcher, Zoran Obradovic:
A discrete approach to constructive neural network learning. Neural Parallel Sci. Comput. 3(3): 307-320 (1995) - 1994
- [j3]Zoran Obradovic, Ian Parberry:
Learning with Discrete Multi-valued Neurons. J. Comput. Syst. Sci. 49(2): 375-390 (1994) - [c5]Zoran Obradovic, Rangarajan Srikumar:
Evolutionary Design of Application Tailored Neural Networks. International Conference on Evolutionary Computation 1994: 284-289 - [c4]Iuri Mehr, Zoran Obradovic:
Parallel Neural Network Learning Through Repetitive Bounded Depth Trajectory Branching. IPPS 1994: 784-791 - 1993
- [c3]Justin Fletcher, Zoran Obradovic:
Parallel and Distributed Systems for Constructive Neural Network Learning. HPDC 1993: 174-178 - 1992
- [j2]Zoran Obradovic, Ian Parberry:
Computing with Discrete Multi-Valued Neurons. J. Comput. Syst. Sci. 45(3): 471-492 (1992) - 1990
- [j1]Zoran Obradovic, Peiyuan Yan:
Small Depth Polynomial Size Neural Networks. Neural Comput. 2(4): 402-404 (1990) - [c2]Zoran Obradovic, Ian Parberry:
Learning with Discrete Multi-Valued Neurons. ML 1990: 392-399
1980 – 1989
- 1989
- [c1]Zoran Obradovic, Ian Parberry:
Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. NIPS 1989: 702-709
Coauthor Index
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