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Aleksandar Lazarevic
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- affiliation: University of Minnesota, USA
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2010 – 2019
- 2010
- [j7]Junlin Zhou, Aleksandar Lazarevic, Kuo-Wei Hsu, Jaideep Srivastava
, Yan Fu, Yue Wu:
Unsupervised Learning Based Distributed Detection of Global Anomalies. Int. J. Inf. Technol. Decis. Mak. 9(6): 935-957 (2010) - [j6]Tia Vance, Dragoljub Pokrajac, Aleksandar Lazarevic, Aristides Marcano, Yuri Markushin, Samantha McDaniel, Noureddine Melikechi:
Classification of LIBS Protein Spectra Using Multilayer Perceptrons. Trans. Mass Data Anal. Images Signals 2(1): 96-111 (2010) - [c21]Tia Vance, Natasa Reljin
Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c20]Nebojsa Pejcic, Natasa Reljin
Detection of moving objects using incremental connectivity outlier factor algorithm. ACM Southeast Regional Conference 2009 - [c19]Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava
Theoretically Optimal Distributed Anomaly Detection. ICDM Workshops 2009: 515-520 - [r2]Ramdev Kanapady, Aleksandar Lazarevic:
Data Mining for Structural Health Monitoring. Encyclopedia of Data Warehousing and Mining 2009: 450-457 - [r1]Aleksandar Lazarevic:
Data Mining in Security Applications. Encyclopedia of Data Warehousing and Mining 2009: 479-485 - 2008
- [b1]Aleksandar Lazarevic:
Autonomous grid scheduling using probabilistic job runtime forecasting. University College London, UK, 2008 - [j5]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) - [c18]Dragoljub Pokrajac, Natasa Reljin, Nebojsa Pejcic, Aleksandar Lazarevic:
Incremental Connectivity-Based Outlier Factor Algorithm. BCS Int. Acad. Conf. 2008: 211-224 - 2007
- [c17]Dragoljub Pokrajac, Aleksandar Lazarevic, Longin Jan Latecki
Incremental Local Outlier Detection for Data Streams. CIDM 2007: 504-515 - [c16]Longin Jan Latecki
Outlier Detection with Kernel Density Functions. MLDM 2007: 61-75 - [i6]Aleksandar Lazarevic, Lionel Sacks:
Resource and Application Models for Advanced Grid Schedulers. CoRR abs/0711.0314 (2007) - [i5]Aleksandar Lazarevic, Lionel Sacks:
Measuring and Monitoring Grid Resource Utilisation. CoRR abs/0711.0315 (2007) - [i4]Aleksandar Lazarevic, Lionel Sacks:
A Study of Grid Applications: Scheduling Perspective. CoRR abs/0711.0316 (2007) - [i3]Ioannis Liabotis, Ognjen Prnjat, Temitope Olukemi, Adrian Li Mow Ching, Aleksandar Lazarevic, Lionel Sacks, Mike Fisher, Paul McKee:
Self-Organising management of Grid environments. CoRR abs/0711.0325 (2007) - [i2]Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat:
Enabling Adaptive Grid Scheduling and Resource Management. CoRR abs/0711.0326 (2007) - [i1]Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat:
Managing Uncertainty: A Case for Probabilistic Grid Scheduling. CoRR abs/0711.0327 (2007) - 2005
- [j4]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) - [c15]Aleksandar Lazarevic, Vipin Kumar:
Feature bagging for outlier detection. KDD 2005: 157-166 - 2004
- [c14]Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath:
Effective localized regression for damage detection in large complex mechanical structures. KDD 2004: 450-459 - [c13]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 - 2003
- [c12]Aleksandar Lazarevic, Ramdev Kanapady, Kumar K. Tamma, Chandrika Kamath, Vipin Kumar:
Damage prediction in structural mechanics using partitioning approach. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 202-210 - [c11]Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma:
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. ICDM 2003: 139-146 - [c10]Nitesh V. Chawla
SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD 2003: 107-119 - [c9]Aleksandar Lazarevic, Levent Ertöz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava:
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. SDM 2003: 25-36 - 2002
- [j3]Aleksandar Lazarevic, Zoran Obradovic:
Boosting Algorithms for Parallel and Distributed Learning. Distributed Parallel Databases 11(2): 203-229 (2002) - [j2]Aleksandar Lazarevic, Zoran Obradovic:
Knowledge Discovery in Multiple Spatial Databases. Neural Comput. Appl. 10(4): 339-350 (2002) - [c8]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
- [j1]Aleksandar Lazarevic, Zoran Obradovic:
Adaptive boosting techniques in heterogeneous and spatial databases. Intell. Data Anal. 5(4): 285-308 (2001) - [c7]Aleksandar Lazarevic, Zoran Obradovic:
The distributed boosting algorithm. KDD 2001: 311-316 - [c6]Aleksandar Lazarevic, Zoran Obradovic:
Data Reduction Using Multiple Models Integration. PKDD 2001: 301-313 - [c5]Aleksandar Lazarevic, Zoran Obradovic:
Boosting Localized Classifiers in Heterogeneous Databases. SDM 2001: 1-16 - 2000
- [c4]Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic:
Distributed clustering and local regression for knowledge discovery in multiple spatial databases. ESANN 2000: 129-134 - [c3]Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic:
A Software System for Spatial Data Analysis and Modeling. HICSS 2000 - [c2]Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic:
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD 2000: 329-340
1990 – 1999
- 1999
- [c1]Aleksandar Lazarevic, Xiaowei Xu, Tim Fiez, Zoran Obradovic:
Clustering-regression-ordering steps for knowledge discovery in spatial databases. IJCNN 1999: 2530-2534
Coauthor Index
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