Aleksandar Lazarevic

发表

Distributed clustering and local regression for knowledge discovery in multiple spatial databases

Zoran Obradovic, Aleksandar Lazarevic, Dragoljub Pokrajac, 2000, ESANN.

Protecting against cyber threats in networked information systems

Jaideep Srivastava, Vipin Kumar, Aleksandar Lazarevic, 2003, SPIE Defense + Commercial Sensing.

A Study of Grid Applications: Scheduling Perspective pdf

Aleksandar Lazarevic, Lionel Sacks, 2007, ArXiv.

Managing Cyber Threats: Issues, Approaches, and Challenges (Massive Computing)

Jaideep Srivastava, Aleksandar Lazarevic, Vipin Kumar, 2005 .

Small moving targets detection using outlier detection algorithms

Aleksandar Lazarevic, Dragoljub Pokrajac, Longin Jan Latecki, 2010, Defense + Commercial Sensing.

A software system for spatial data analysis and modeling

Zoran Obradovic, Aleksandar Lazarevic, Tim Fiez, 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

Classification and Mining of Brain Image Data Using Adaptive Recursive Partitioning Methods: Application to Alzheimer Disease and Brain Activation Patterns

Fillia Makedon, Andrew J. Saykin, Zoran Obradovic, 2003 .

Data Mining in Security Applications

Aleksandar Lazarevic, A. Lazarevic, 2009, Encyclopedia of Data Warehousing and Mining.

Feature bagging for outlier detection

Vipin Kumar, Aleksandar Lazarevic, Vipin Kumar, 2005, KDD '05.

Resource and Application Models for Advanced Grid Schedulers pdf

Aleksandar Lazarevic, Lionel Sacks, 2007, ArXiv.

Autonomous grid scheduling using probabilistic job runtime forecasting

Aleksandar Lazarevic, A. Lazarevic, 2008 .

Clustering-regression-ordering steps for knowledge discovery in spatial databases

Zoran Obradovic, Aleksandar Lazarevic, Xiaowei Xu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Enabling Adaptive Grid Scheduling and Resource Management pdf

Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat, 2007, ArXiv.

Data Reduction Using Multiple Models Integration

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2001, PKDD.

Statistical Analysis for Automatic Identification of Ovarian Cancer Protein-Biomarkers Based on Fast Fourier Transform Infrared Spectroscopy

Aleksandar Lazarevic, Noureddine Melikechi, Aristides Marcano, 2011 .

Effective pruning of neural network classifier ensembles

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Boosting Localized Classifiers in Heterogeneous Databases

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2001, SDM.

Damage prediction in structural mechanics using partitioning approach

Vipin Kumar, Aleksandar Lazarevic, Chandrika Kamath, 2003, SPIE Defense + Commercial Sensing.

Unsupervised Learning Based Distributed Detection of Global Anomalies

Jaideep Srivastava, Aleksandar Lazarevic, Yan Fu, 2010, Int. J. Inf. Technol. Decis. Mak..

Detection of moving objects using incremental connectivity outlier factor algorithm

Aleksandar Lazarevic, Dragoljub Pokrajac, Samantha McDaniel, 2009, ACM-SE 47.

Managing Cyber Threats

Jaideep Srivastava, Aleksandar Lazarevic, Vipin Kumar, 2005 .

Measuring and Monitoring Grid Resource Utilisation pdf

Aleksandar Lazarevic, Lionel Sacks, 2007, ArXiv.

Data Mining for Damage Detection in Engineering Structures

Aleksandar Lazarevic, Ramdev Kanapady, 2005 .

Probabilistic grid scheduling : based on job statistics and monitoring information

Aleksandar Lazarevic, 2005 .

Data Mining for Intrusion Detection

Aleksandar Lazarevic, 2005 .

Adaptive Boosting for Spatial Functions with Unstable Driving Attributes

Zoran Obradovic, Aleksandar Lazarevic, Tim Fiez, 2000, PAKDD.

Automatic Classification of Laser-Induced Breakdown Spectroscopy (LIBS) Data of Protein Biomarker Solutions

Aleksandar Lazarevic, Vojislav Kecman, Natasa Reljin, 2014, Applied spectroscopy.

Detection of Novel Network Attacks Using Data Mining

Jaideep Srivastava, Vipin Kumar, Aleksandar Lazarevic, 2003 .

Detection and Summarization of Novel Network Attacks Using Data Mining

Jaideep Srivastava, Vipin Kumar, Aleksandar Lazarevic, 2003 .

SMOTEBoost: Improving Prediction of the Minority Class in Boosting

Nitesh V. Chawla, Lawrence O. Hall, Aleksandar Lazarevic, 2003, PKDD.

Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease

Fillia Makedon, Andrew J. Saykin, Zoran Obradovic, 2004, MICCAI.

Non-PC Reviewers

Noriaki Izumi, Xiaohua Hu, Vasa Curcin, 2005, ICDM.

Distinguishing Among 3-D Distributions for Brain Image Data Classification

Zoran Obradovic, Aleksandar Lazarevic, Vasileios Megalooikonomou, 2001 .

Support vector machine based classification of fast Fourier transform spectroscopy of proteins

Aleksandar Lazarevic, Dragoljub Pokrajac, Noureddine Melikechi, 2009, BiOS.

Managing Uncertainty: A Case for Probabilistic Grid Scheduling pdf

Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat, 2007, ArXiv.

Detection of suspicious activity using incremental outlier detection algorithms

Aleksandar Lazarevic, Dragoljub Pokrajac, Roland Miezianko, 2009, Optical Engineering + Applications.

Boosting Algorithms for Parallel and Distributed Learning

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2022 .

Localized prediction of continuous target variables using hierarchical clustering

Vipin Kumar, Aleksandar Lazarevic, Chandrika Kamath, 2003, Third IEEE International Conference on Data Mining.

Incremental Connectivity-Based Outlier Factor Algorithm

Aleksandar Lazarevic, Dragoljub Pokrajac, Nebojsa Pejcic, 2008, BCS Int. Acad. Conf..

Incremental Local Outlier Detection for Data Streams

Aleksandar Lazarevic, Dragoljub Pokrajac, Longin Jan Latecki, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Integration of multiple prediction models for centralized and distributed knowledge discovery in databases

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2002 .

An adaptive partitioning approach for mining discriminant regions in 3D image data

Zoran Obradovic, Aleksandar Lazarevic, Dragoljub Pokrajac, 2008, Journal of Intelligent Information Systems.

Damage detection employing data-mining techniques

Aleksandar Lazarevic, Chandrika Kamath, Kumar K. Tamma, 2005 .

Learning Rules from System Call Arguments and Sequences for Anomaly 20 Detection

Salvatore J. Stolfo, Angelos D. Keromytis, Robert K. Cunningham, 2003 .

Applications ofNeural Networks inNetwork Intrusion Detection

Aleksandar Lazarevic, Jelena Nikolic, D. Pokrajac, 2006 .

Classification of LIBS Protein Spectra Using Multilayer Perceptrons

Aleksandar Lazarevic, Dragoljub Pokrajac, Samantha McDaniel, 2010, Trans. Mass Data Anal. Images Signals.

Knowledge Discovery in Multiple Spatial Databases

Zoran Obradovic, Aleksandar Lazarevic, 2002, Neural Computing & Applications.

Self-Organising management of Grid environments pdf

Aleksandar Lazarevic, Paul McKee, Lionel Sacks, 2007, ArXiv.

A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection

Jaideep Srivastava, Vipin Kumar, Aleksandar Lazarevic, 2003, SDM.

The distributed boosting algorithm

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2001, KDD '01.

Effective classification of 3D image data using partitioning methods

Zoran Obradovic, Aleksandar Lazarevic, Dragoljub Pokrajac, 2002, IS&T/SPIE Electronic Imaging.

Intrusion Detection: A Survey

Jaideep Srivastava, Aleksandar Lazarevic, Vipin Kumar, 2005 .

Data Mining for Network Intrusion Detection

Jaideep Srivastava, Aleksandar Lazarevic, Levent Ertoz, 2002 .

Effective localized regression for damage detection in large complex mechanical structures

Aleksandar Lazarevic, Chandrika Kamath, Ramdev Kanapady, 2004, KDD.

Subjective Probability

Zoran Obradovic, Aleksandar Lazarevic, Dragoljub Pokrajac, 1994 .

Data Mining for Structural Health Monitoring

Aleksandar Lazarevic, Ramdev Kanapady, 2009, Encyclopedia of Data Warehousing and Mining.

Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes

Aleksandar Lazarevic, Dragoljub Pokrajac, Vojislav Kecman, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Outlier Detection with Kernel Density Functions

Aleksandar Lazarevic, Dragoljub Pokrajac, Longin Jan Latecki, 2007, MLDM.

Adaptive boosting techniques in heterogeneous and spatial databases

Zoran Obradovic, Aleksandar Lazarevic, Z. Obradovic, 2001, Intell. Data Anal..

Theoretically Optimal Distributed Anomaly Detection

Ashutosh Tiwari, Jaideep Srivastava, Aleksandar Lazarevic, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Performance of multilayer perceptrons for classification of LIBS protein spectra

Aleksandar Lazarevic, Natasa Reljin, Tia Vance, 2010, 10th Symposium on Neural Network Applications in Electrical Engineering.

CYBER THREAT ANALYSIS – A KEY ENABLING TECHNOLOGY FOR THE OBJECTIVE FORCE ( A CASE STUDY IN NETWORK INTRUSION DETECTION )

Jaideep Srivastava, Pang-Ning Tan, Aleksandar Lazarevic, 2002 .

Mining for Network Intrusion Detection

Jaideep Srivastava, Pang-Ning Tan, Aleksandar Lazarevic, 2002 .