 | 2009 |
|---|
| 36 |       | Yinghao Huang,
Naeem Seliya,
Yi Lu Murphey,
Roy B. Friedenthal:
Name Entity Recognition and Classification in Medical Text Documents.
DMIN 2009: 144-150 |
| 35 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Value-Based Software Quality Modeling.
SEKE 2009: 116-121 |
| 2008 |
|---|
| 34 |  | Naeem Seliya,
Zhiwei Xu,
Taghi M. Khoshgoftaar:
Addressing Class Imbalance in Non-binary Classification Problems.
ICTAI (1) 2008: 460-466 |
| 33 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Dennis J. Drown:
On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling.
SEKE 2008: 279-284 |
| 32 | | Zhiwei Xu,
Naeem Seliya,
Weibiao Wu:
An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction.
SEKE 2008: 79-84 |
| 31 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software Module Risk Analysis.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 30 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Software Quality Modeling as a Reliability Tool.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 29 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Chris Seiffert:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
International Journal on Artificial Intelligence Tools 17(3): 521-537 (2008) |
| 2007 |
|---|
| 28 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Naeem Seliya:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
FLAIRS Conference 2007: 490-495 |
| 27 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 201-211 (2007) |
| 26 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Software quality estimation with limited fault data: a semi-supervised learning perspective.
Software Quality Journal 15(3): 327-344 (2007) |
| 2006 |
|---|
| 25 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Naeem Seliya:
Labeling network event records for intrusion detection in a Wireless LAN.
IRI 2006: 200-206 |
| 24 | | Taghi M. Khoshgoftaar,
Vedang H. Joshi,
Naeem Seliya:
Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation.
International Journal of Software Engineering and Knowledge Engineering 16(1): 53-76 (2006) |
| 23 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Nandini Sundaresh:
An empirical study of predicting software faults with case-based reasoning.
Software Quality Journal 14(2): 85-111 (2006) |
| 22 | | Taghi M. Khoshgoftaar,
Angela Herzberg,
Naeem Seliya:
Resource oriented selection of rule-based classification models: An empirical case study.
Software Quality Journal 14(4): 309-338 (2006) |
| 2005 |
|---|
| 21 | | Naeem Seliya,
Taghi M. Khoshgoftaar,
Shi Zhong:
Analyzing Software Quality with Limited Fault-Proneness Defect Data.
HASE 2005: 89-98 |
| 20 | | Yudong Xiao,
Taghi M. Khoshgoftaar,
Naeem Seliya:
The partitioning- and rule-based filter for noise detection.
IRI 2005: 205-210 |
| 19 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study.
Empirical Software Engineering 10(2): 183-218 (2005) |
| 18 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Detecting noisy instances with the rule-based classification model.
Intell. Data Anal. 9(4): 347-364 (2005) |
| 17 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Angela Herzberg:
Resource-oriented software quality classification models.
Journal of Systems and Software 76(2): 111-126 (2005) |
| 2004 |
|---|
| 16 | | Shi Zhong,
Taghi M. Khoshgoftaar,
Naeem Seliya:
Unsupervised Learning for Expert-Based Software Quality Estimation.
HASE 2004: 149-155 |
| 15 | | Naeem Seliya,
Taghi M. Khoshgoftaar,
Shi Zhong:
Semi-Supervised Learning for Software Quality Estimation.
ICTAI 2004: 183-190 |
| 14 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
The Necessity of Assuring Quality in Software Measurement Data.
IEEE METRICS 2004: 119-130 |
| 13 | | Taghi M. Khoshgoftaar,
Yi Liu,
Naeem Seliya:
Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach.
IEEE METRICS 2004: 159-169 |
| 12 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Rule-Based Noise Detection for Software Measurement Data.
IRI 2004: 302-307 |
| 11 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software quality estimation with case-based reasoning.
Advances in Computers 62: 250-293 (2004) |
| 10 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study.
Empirical Software Engineering 9(3): 229-257 (2004) |
| 9 | | Shi Zhong,
Taghi M. Khoshgoftaar,
Naeem Seliya:
Analyzing Software Measurement Data with Clustering Techniques.
IEEE Intelligent Systems 19(2): 20-27 (2004) |
| 8 | | Taghi M. Khoshgoftaar,
Yi Liu,
Naeem Seliya:
A multiobjective module-order model for software quality enhancement.
IEEE Trans. Evolutionary Computation 8(6): 593-608 (2004) |
| 2003 |
|---|
| 7 | | Taghi M. Khoshgoftaar,
Yi Liu,
Naeem Seliya:
Genetic Programming-Based Decision Trees for Software Quality Classification.
ICTAI 2003: 374-383 |
| 6 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques.
Empirical Software Engineering 8(3): 255-283 (2003) |
| 5 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Analogy-Based Practical Classification Rules for Software Quality Estimation.
Empirical Software Engineering 8(4): 325-350 (2003) |
| 4 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm.
International Journal on Artificial Intelligence Tools 12(3): 207-225 (2003) |
| 2002 |
|---|
| 3 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm.
ICTAI 2002: 365-374 |
| 2 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Tree-Based Software Quality Estimation Models For Fault Prediction.
IEEE METRICS 2002: 203- |
| 1 | | Taghi M. Khoshgoftaar,
Bojan Cukic,
Naeem Seliya:
Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models.
International Journal of Software Engineering and Knowledge Engineering 12(2): 201-221 (2002) |
