| 2008 |
|---|
| 13 | EE | Elaine J. Weyuker,
Thomas J. Ostrand,
Robert M. Bell:
Do too many cooks spoil the broth? Using the number of developers to enhance defect prediction models.
Empirical Software Engineering 13(5): 539-559 (2008) |
| 2007 |
|---|
| 12 | EE | Robert M. Bell,
Yehuda Koren:
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights.
ICDM 2007: 43-52 |
| 11 | EE | Thomas J. Ostrand,
Elaine J. Weyuker,
Robert M. Bell:
Automating algorithms for the identification of fault-prone files.
ISSTA 2007: 219-227 |
| 10 | EE | Robert M. Bell,
Yehuda Koren,
Chris Volinsky:
Modeling relationships at multiple scales to improve accuracy of large recommender systems.
KDD 2007: 95-104 |
| 9 | EE | Robert M. Bell,
Yehuda Koren:
Lessons from the Netflix prize challenge.
SIGKDD Explorations 9(2): 75-79 (2007) |
| 2006 |
|---|
| 8 | EE | Amy R. Reibman,
Robert M. Bell,
Sharon Gray:
Quality assessment for super-resolution image enhancement.
ICIP 2006: 2017-2020 |
| 7 | EE | Robert M. Bell,
Thomas J. Ostrand,
Elaine J. Weyuker:
Looking for bugs in all the right places.
ISSTA 2006: 61-72 |
| 6 | EE | Robert M. Bell,
Patrick Haffner,
Chris Volinsky:
Modifying boosted trees to improve performance on task 1 of the 2006 KDD challenge cup.
SIGKDD Explorations 8(2): 47-52 (2006) |
| 2005 |
|---|
| 5 | EE | Thomas J. Ostrand,
Elaine J. Weyuker,
Robert M. Bell,
Rachel C. W. Ostrand:
A Different View of Fault Prediction.
COMPSAC (2) 2005: 3-4 |
| 4 | EE | Thomas J. Ostrand,
Elaine J. Weyuker,
Robert M. Bell:
Locating where faults will be.
Richard Tapia Celebration of Diversity in Computing Conference 2005: 48-50 |
| 3 | EE | Thomas J. Ostrand,
Elaine J. Weyuker,
Robert M. Bell:
Predicting the Location and Number of Faults in Large Software Systems.
IEEE Trans. Software Eng. 31(4): 340-355 (2005) |
| 2004 |
|---|
| 2 | EE | Thomas J. Ostrand,
Elaine J. Weyuker,
Robert M. Bell:
Where the bugs are.
ISSTA 2004: 86-96 |
| 2000 |
|---|
| 1 | EE | Nandini Raghavan,
Robert M. Bell,
Matthias Schonlau:
Defection detection: using activity profiles to predict ISP customer vulnerability.
KDD 2000: 506-515 |
