Dr. Parag Pendharkar
Dr. Parag Pendharkar
Professor of Information Systems, Penn State Harrisburg
Verified email at - Homepage
Cited by
Cited by
A probabilistic model for predicting software development effort
PC Pendharkar, GH Subramanian, JA Rodger
IEEE Transactions on software engineering 31 (7), 615-624, 2005
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
PC Pendharkar
Computers & Operations Research 32 (10), 2561-2582, 2005
Human–computer interaction issues for mobile computing in a variable work context
J York, PC Pendharkar
International Journal of Human-Computer Studies 60 (5-6), 771-797, 2004
Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services
PC Pendharkar
Expert Systems with Applications 36 (3), 6714-6720, 2009
Association, statistical, mathematical and neural approaches for mining breast cancer patterns
PC Pendharkar, JA Rodger, GJ Yaverbaum, N Herman, M Benner
Expert Systems with Applications 17 (3), 223-232, 1999
Inductive, evolutionary, and neural computing techniques for discrimination: a comparative study
S Bhattacharyya, PC Pendharkar
Decision Sciences 29 (4), 871-899, 1998
Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption
PC Pendharkar, JA Rodger
Decision support systems 36 (1), 117-136, 2003
The relationship between software development team size and software development cost
PC Pendharkar, JA Rodger
Communications of the ACM 52 (1), 141-144, 2009
An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification
PC Pendharkar, JA Rodger
Computers & Operations Research 31 (4), 481-498, 2004
Linear models for minimizing misclassification costs in bankruptcy prediction
S Nanda, P Pendharkar
Intelligent Systems in Accounting, Finance & Management 10 (3), 155-168, 2001
An empirical study of the Cobb–Douglas production function properties of software development effort
PC Pendharkar, JA Rodger, GH Subramanian
Information and Software Technology 50 (12), 1181-1188, 2008
A fuzzy linear programming model for production planning in coal mines
PC Pendharkar
Computers & operations research 24 (12), 1141-1149, 1997
A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application
JA Rodger, PC Pendharkar
International Journal of Human-Computer Studies 60 (5-6), 529-544, 2004
Valuing interdependent multi-stage IT investments: A real options approach
PC Pendharkar
European Journal of Operational Research 201 (3), 847-859, 2010
An empirical study of the impact of team size on software development effort
PC Pendharkar, JA Rodger
Information Technology and Management 8 (4), 253-262, 2007
Trading financial indices with reinforcement learning agents
PC Pendharkar, P Cusatis
Expert Systems with Applications 103, 1-13, 2018
A potential use of data envelopment analysis for the inverse classification problem
PC Pendharkar
Omega 30 (3), 243-248, 2002
Nonlinear programming and genetic search application for production scheduling in coal mines
PC Pendharkar, JA Rodger
Annals of Operations Research 95 (1), 251-267, 2000
An ant colony optimization heuristic for constrained task allocation problem
PC Pendharkar
Journal of Computational Science 7, 37-47, 2015
A hybrid radial basis function and data envelopment analysis neural network for classification
PC Pendharkar
Computers & Operations Research 38 (1), 256-266, 2011
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