Travelled to:
2 × Canada
4 × USA
Collaborated with:
T.M.Khoshgoftaar A.Napolitano H.Wang Y.Xiao
Talks about:
softwar (9) data (5) qualiti (4) select (4) featur (4) techniqu (3) imbalanc (3) ensembl (3) predict (2) compar (2)
Person: Kehan Gao
DBLP: Gao:Kehan
Contributed to:
Wrote 9 papers:
- SEKE-2015-GaoKN #set
- Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data (KG, TMK, AN), pp. 439–444.
- SEKE-2014-GaoKN #estimation #learning #quality #ranking
- Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation (KG, TMK, AN), pp. 280–285.
- SEKE-2013-GaoKN #estimation #preprocessor #quality
- Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation (KG, TMK, AN), pp. 612–617.
- SEKE-2012-GaoKN #feature model #metric
- Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data (KG, TMK, AN), pp. 74–79.
- SEKE-2011-GaoK #fault #predict
- Software Defect Prediction for High-Dimensional and Class-Imbalanced Data (KG, TMK), pp. 89–94.
- SEKE-2011-KhoshgoftaarGN #case study #comparative #predict #quality
- A Comparative Study of Different Strategies for Predicting Software Quality (TMK, KG, AN), pp. 65–70.
- SEKE-2010-KhoshgoftaarG #machine learning #metric #novel #re-engineering #using
- Software Engineering with Computational Intelligence and Machine Learning A Novel Software Metric Selection Technique Using the Area Under ROC Curves (TMK, KG), pp. 203–208.
- SEKE-2010-WangKG #classification #feature model #quality
- Ensemble Feature Selection Technique for Software Quality Classification (HW, TMK, KG), pp. 215–220.
- SEKE-2004-KhoshgoftaarXG #modelling #multi #optimisation
- Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling (TMK, YX, KG), pp. 220–225.