Aleksandar Lazarevic

Publication Activity (10 Years)

Years Active: 1999-2010
Publications (10 Years): 0

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Tia Vance, Natasa Reljin, Aleksandar Lazarevic, Dragoljub Pokrajac, Vojislav Kecman, Noureddine Melikechi, Aristides Marcano, Yuri Markushin, Samantha McDaniel
Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes. IJCNN (2010)
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) (2010)
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) (2010)
Nebojsa Pejcic, Natasa Reljin, Samantha McDaniel, Dragoljub Pokrajac, Aleksandar Lazarevic
Detection of moving objects using incremental connectivity outlier factor algorithm. ACM Southeast Regional Conference (2009)
Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava
Theoretically Optimal Distributed Anomaly Detection. ICDM Workshops (2009)
Dragoljub Pokrajac, Natasa Reljin, Nebojsa Pejcic, Aleksandar Lazarevic
Incremental Connectivity-Based Outlier Factor Algorithm. BCS Int. Acad. Conf. (2008)
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) (2008)
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
Enabling Adaptive Grid Scheduling and Resource Management CoRR (2007)
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
Managing Uncertainty: A Case for Probabilistic Grid Scheduling CoRR (2007)
Longin Jan Latecki, Aleksandar Lazarevic, Dragoljub Pokrajac
Outlier Detection with Kernel Density Functions. MLDM (2007)
Dragoljub Pokrajac, Aleksandar Lazarevic, Longin Jan Latecki
Incremental Local Outlier Detection for Data Streams. CIDM (2007)
Aleksandar Lazarevic, Lionel Sacks
Measuring and Monitoring Grid Resource Utilisation CoRR (2007)
Aleksandar Lazarevic, Lionel Sacks
A Study of Grid Applications: Scheduling Perspective CoRR (2007)
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 (2007)
Aleksandar Lazarevic, Lionel Sacks
Resource and Application Models for Advanced Grid Schedulers CoRR (2007)
Aleksandar Lazarevic, Vipin Kumar
Feature bagging for outlier detection. KDD (2005)
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) (2005)
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)
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath
Effective localized regression for damage detection in large complex mechanical structures. KDD (2004)
Aleksandar Lazarevic, Levent Ertöz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. SDM (2003)
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)
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. ICDM (2003)
Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer
SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD (2003)
Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic
Effective classification of 3D image data using partitioning methods. Visualization and Data Analysis (2002)
Aleksandar Lazarevic, Zoran Obradovic
Boosting Algorithms for Parallel and Distributed Learning. Distributed Parallel Databases 11 (2) (2002)
Aleksandar Lazarevic, Zoran Obradovic
Knowledge Discovery in Multiple Spatial Databases. Neural Comput. Appl. 10 (4) (2002)
Aleksandar Lazarevic, Zoran Obradovic
The distributed boosting algorithm. KDD (2001)
Aleksandar Lazarevic, Zoran Obradovic
Data Reduction Using Multiple Models Integration. PKDD (2001)
Aleksandar Lazarevic, Zoran Obradovic
Adaptive boosting techniques in heterogeneous and spatial databases. Intell. Data Anal. 5 (4) (2001)
Aleksandar Lazarevic, Zoran Obradovic
Boosting Localized Classifiers in Heterogeneous Databases. SDM (2001)
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
A Software System for Spatial Data Analysis and Modeling. HICSS (2000)
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic
Distributed clustering and local regression for knowledge discovery in multiple spatial databases. ESANN (2000)
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD (2000)
Aleksandar Lazarevic, Xiaowei Xu, Tim Fiez, Zoran Obradovic
Clustering-regression-ordering steps for knowledge discovery in spatial databases. IJCNN (1999)

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Publication Activity (10 Years)

Aleksandar Lazarevic