 | 2009 |
|---|
| 12 |       | Kivanc M. Ozonat,
Donald Young:
A Semi-supervised Approach to the Selection of Specifications Forms in a Universal Services Marketplace.
IC-AI 2009: 627-633 |
| 11 |  | Kivanc M. Ozonat,
Donald Young:
Towards a universal marketplace over the web: statistical multi-label classification of service provider forms with simulated annealing.
KDD 2009: 1295-1304 |
| 2008 |
|---|
| 10 | | Ludmila Cherkasova,
Kivanc M. Ozonat,
Ningfang Mi,
Julie Symons,
Evgenia Smirni:
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change.
DSN 2008: 452-461 |
| 9 | | Kivanc M. Ozonat:
An information-theoretic approach to detecting performance anomalies and changes for large-scale distributed web services.
DSN 2008: 522-531 |
| 8 | | Sujoy Basu,
Sven Graupner,
Kivanc M. Ozonat,
Sharad Singhal,
Donald Young:
Service Selection in Business Service Ecosystem.
ICSOC Workshops 2008: 256-269 |
| 7 | | Timothy Wood,
Ludmila Cherkasova,
Kivanc M. Ozonat,
Prashant J. Shenoy:
Profiling and Modeling Resource Usage of Virtualized Applications.
Middleware 2008: 366-387 |
| 6 | | Ningfang Mi,
Ludmila Cherkasova,
Kivanc M. Ozonat,
Julie Symons,
Evgenia Smirni:
Analysis of application performance and its change via representative application signatures.
NOMS 2008: 216-223 |
| 2006 |
|---|
| 5 | | Kivanc M. Ozonat,
Robert M. Gray:
Gauss Mixture Model-Based Classification For Sensor Networks.
DCC 2006: 322-331 |
| 2005 |
|---|
| 4 | | Kivanc M. Ozonat,
Robert M. Gray:
Vector Quantization for Classification in a Simple Network.
DCC 2005: 472 |
| 3 | | Kivanc M. Ozonat,
Robert M. Gray:
Vector quantization for image classification with side information for the additive Gaussian noise channels.
ICIP (3) 2005: 185-188 |
| 2004 |
|---|
| 2 | | Kivanc M. Ozonat,
Robert M. Gray:
Image Classification Using Adaptive-Boosting and Tree-Structured Discriminant Vector Quantization.
Data Compression Conference 2004: 556 |
| 1 | | Kivanc M. Ozonat,
SangHo Yoon:
Context-dependent tree-structured image classification using the QDA distortion measure and the hidden markov model.
ICIP 2004: 1887-1890 |
