2009 |
34 | EE | Parag C. Pendharkar,
James A. Rodger:
The relationship between software development team size and software development cost.
Commun. ACM 52(1): 141-144 (2009) |
33 | EE | Parag C. Pendharkar:
Identifying poorly documented object oriented software components.
Int. J. Hybrid Intell. Syst. 6(1): 53-65 (2009) |
2008 |
32 | EE | Parag C. Pendharkar:
Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks.
Computational Statistics & Data Analysis 52(7): 3583-3602 (2008) |
31 | EE | Parag C. Pendharkar:
A threshold varying bisection method for cost sensitive learning in neural networks.
Expert Syst. Appl. 34(2): 1456-1464 (2008) |
2007 |
30 | EE | James A. Rodger,
Parag C. Pendharkar:
A field study of database communication issues peculiar to users of a voice activated medical tracking application.
Decision Support Systems 43(1): 168-180 (2007) |
29 | EE | Parag C. Pendharkar:
The theory and experiments of designing cooperative intelligent systems.
Decision Support Systems 43(3): 1014-1030 (2007) |
28 | EE | Parag C. Pendharkar,
Gary J. Koehler:
A general steady state distribution based stopping criteria for finite length genetic algorithms.
European Journal of Operational Research 176(3): 1436-1451 (2007) |
27 | EE | Parag C. Pendharkar,
Girish H. Subramanian:
An empirical study of ICASE learning curves and probability bounds for software development effort.
European Journal of Operational Research 183(3): 1086-1096 (2007) |
26 | EE | Parag C. Pendharkar:
The second largest eigenvalue upper bound for the canonical genetic algorithms.
KES Journal 11(3): 193-198 (2007) |
2006 |
25 | EE | Parag C. Pendharkar:
A Multi-Agent Distributed Channel Allocation Approach for Wireless Networks.
VTC Fall 2006: 1-4 |
24 | EE | Parag C. Pendharkar:
A data mining-constraint satisfaction optimization problem for cost effective classification.
Computers & OR 33(11): 3124-3135 (2006) |
23 | EE | Girish H. Subramanian,
Parag C. Pendharkar,
Mary Wallace:
An empirical study of the effect of complexity, platform, and program type on software development effort of business applications.
Empirical Software Engineering 11(4): 541-553 (2006) |
22 | EE | Parag C. Pendharkar:
Scale economies and production function estimation for object-oriented software component and source code documentation size.
European Journal of Operational Research 172(3): 1040-1050 (2006) |
2005 |
21 | EE | Parag C. Pendharkar:
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem.
Computers & OR 32: 2561-2582 (2005) |
20 | EE | Parag C. Pendharkar:
Hybrid approaches for classification under information acquisition cost constraint.
Decision Support Systems 41(1): 228-241 (2005) |
19 | EE | Parag C. Pendharkar:
A Data Envelopment Analysis-Based Approach for Data Preprocessing.
IEEE Trans. Knowl. Data Eng. 17(10): 1379-1388 (2005) |
18 | EE | Parag C. Pendharkar,
Girish H. Subramanian,
James A. Rodger:
A Probabilistic Model for Predicting Software Development Effort.
IEEE Trans. Software Eng. 31(7): 615-624 (2005) |
2004 |
17 | EE | Parag C. Pendharkar,
James A. Rodger:
An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification.
Computers & OR 31(4): 481-498 (2004) |
16 | EE | Parag C. Pendharkar:
Editorial.
Int. J. Hum.-Comput. Stud. 60(5-6): 527-528 (2004) |
15 | EE | James A. Rodger,
Parag C. Pendharkar:
A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application.
Int. J. Hum.-Comput. Stud. 60(5-6): 529-544 (2004) |
14 | EE | Judy York,
Parag C. Pendharkar:
Human-computer interaction issues for mobile computing in a variable work context.
Int. J. Hum.-Comput. Stud. 60(5-6): 771-797 (2004) |
2003 |
13 | EE | Parag C. Pendharkar,
Girish H. Subramanian,
James A. Rodger:
A Probabilistic Model for Predicting Software Development Effort.
ICCSA (2) 2003: 581-588 |
12 | EE | Parag C. Pendharkar:
Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach.
Computers & OR 30(2): 199-212 (2003) |
11 | EE | Parag C. Pendharkar,
James A. Rodger:
Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption.
Decision Support Systems 36(1): 117-136 (2003) |
10 | EE | Parag C. Pendharkar,
Rahul Bhaskar:
A Hybrid Bayesian Network-Based Multi-Agent System And A Distributed Systems Architecture For The Drug Crime Knowledge Management.
International Journal of Information Technology and Decision Making 2(4): 557-576 (2003) |
2002 |
9 | EE | Parag C. Pendharkar,
James A. Rodger:
An empirical study of factors impacting the size of object-oriented component code documentation.
SIGDOC 2002: 152-156 |
8 | | James A. Rodger,
Parag C. Pendharkar,
Mehdi Khosrowpour:
Changing the Face of War through Telemedicine and Mobile E-commerce.
Advanced Topics in Database Research, Vol. 1 2002: 267-292 |
2001 |
7 | | Parag C. Pendharkar:
Hybrid Approaches for Classification Under Information Acquisition Cost Constraint.
ICIS 2001: 77-80 |
6 | | James A. Rodger,
Parag C. Pendharkar,
Mehdi Khosrow-Pour:
Mobile Computing at the Department of Defense.
J. Database Manag. 12(2): 36-48 (2001) |
2000 |
5 | EE | David P. Paper,
James A. Rodger,
Parag C. Pendharkar:
Development and Initial Testing of a Theoretical Model of Transformation.
HICSS 2000 |
4 | | Parag C. Pendharkar,
Mehdi Khosrowpour,
James A. Rodger:
Development and testing of an instrument for measuring the user evaluations of information technology in health care.
IRMA Conference 2000: 126-129 |
3 | EE | James A. Rodger,
Parag C. Pendharkar:
Using Telemedicine in the Department of Defense.
Commun. ACM 43(3): 19-20 (2000) |
1999 |
2 | EE | Parag C. Pendharkar,
James A. Rodger:
An empirical study of non-binary genetic algorithm-based neural approaches for classification.
ICIS 1999: 155-165 |
1997 |
1 | EE | Parag C. Pendharkar:
A fuzzy linear programming model for production planning in coal mines.
Computers & OR 24(12): 1141-1149 (1997) |