Parag C. Pendharkar

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 16

Top Topics

Misclassification Error

Posterior Distribution

Data Envelopment Analysis

Top Venues

Expert Syst. Appl.

J. Softw. Evol. Process.

Comput. Ind. Eng.

Publications

Parag C. Pendharkar
A Markov Chain Genetic Algorithm Approach for Non-Parametric Posterior Distribution Sampling of Regression Parameters. Algorithms 17 (3) (2024)
Parag C. Pendharkar
A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions. Neural Process. Lett. 55 (5) (2023)
Shachi Sharma, Parag C. Pendharkar
On the analysis of power law distribution in software component sizes. J. Softw. Evol. Process. 34 (2) (2022)
Shachi Sharma, Parag C. Pendharkar, Karmeshu
Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules. IEEE Trans. Software Eng. 48 (12) (2022)
Parag C. Pendharkar, James A. Rodger
Quantitative software project management with mixed data: A comparison of radial, nonradial, and ensemble data envelopment analysis models. J. Softw. Evol. Process. 33 (6) (2021)
Parag C. Pendharkar
Cross efficiency evaluation of decision-making units using the maximum decisional efficiency principle. Comput. Ind. Eng. 145 (2020)
Parag C. Pendharkar
A Comparison of Ensemble and Dimensionality Reduction DEA Models Based on Entropy Criterion. Algorithms 13 (9) (2020)
Parag C. Pendharkar
A hybrid genetic algorithm and DEA approach for multi-criteria fixed cost allocation. Soft Comput. 22 (22) (2018)
Parag C. Pendharkar
Data envelopment analysis models for probabilistic classification. Comput. Ind. Eng. 119 (2018)
Parag C. Pendharkar, Patrick Cusatis
Trading financial indices with reinforcement learning agents. Expert Syst. Appl. 103 (2018)
Girish H. Subramanian, Parag C. Pendharkar, Dinesh R. Pai
An Examination of Determinants of Software Testing and Project Management Effort. J. Comput. Inf. Syst. 57 (2) (2017)
Parag C. Pendharkar
Bayesian posterior misclassification error risk distributions for ensemble classifiers. Eng. Appl. Artif. Intell. 65 (2017)
Parag C. Pendharkar
An ant colony optimization heuristic for constrained task allocation problem. J. Comput. Sci. 7 (2015)
Parag C. Pendharkar
Linear models for cost-sensitive classification. Expert Syst. J. Knowl. Eng. 32 (5) (2015)
Parag C. Pendharkar
Ensemble based point and confidence interval forecasting in software engineering. Expert Syst. Appl. 42 (24) (2015)
Dinesh R. Pai, Girish H. Subramanian, Parag C. Pendharkar
Benchmarking software development productivity of CMMI level 5 projects. Inf. Technol. Manag. 16 (3) (2015)
Parag C. Pendharkar, Marvin D. Troutt
Interactive classification using data envelopment analysis. Ann. Oper. Res. 214 (1) (2014)
Parag C. Pendharkar
A misclassification cost risk bound based on hybrid particle swarm optimization heuristic. Expert Syst. Appl. 41 (4) (2014)
Parag C. Pendharkar, Hitesh Khurana
Machine Learning Techniques for Predicting Hospital Length of Stay in Pennsylvania Federal and Specialty Hospitals. Int. J. Comput. Sci. Appl. 11 (3) (2014)
Parag C. Pendharkar
Genetic learning of virtual team member preferences. Comput. Hum. Behav. 29 (4) (2013)
Parag C. Pendharkar
A Normalized Probabilistic Expectation-Maximization Neural Network for Minimizing Bayesian Misclassification Cost Risk. Neural Process. Lett. 38 (3) (2013)
Parag C. Pendharkar
Scatter search based interactive multi-criteria optimization of fuzzy objectives for coal production planning. Eng. Appl. Artif. Intell. 26 (5-6) (2013)
Parag C. Pendharkar
A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem. Expert Syst. Appl. 40 (10) (2013)
Parag C. Pendharkar
Ensemble Based Ranking of Decision Making Units. INFOR Inf. Syst. Oper. Res. 51 (3) (2013)
Parag C. Pendharkar, Marvin D. Troutt
DEA based data preprocessing for maximum decisional efficiency linear case valuation models. Expert Syst. Appl. 39 (10) (2012)
Parag C. Pendharkar, James A. Rodger
A distributed problem-solving framework for probabilistic software effort estimation. Expert Syst. J. Knowl. Eng. 29 (5) (2012)
Parag C. Pendharkar
Lower bounds for constrained task allocation problem in distributed computing environment. CCECE (2012)
Parag C. Pendharkar
Fuzzy classification using the data envelopment analysis. Knowl. Based Syst. 31 (2012)
Parag C. Pendharkar
Game theoretical applications for multi-agent systems. Expert Syst. Appl. 39 (1) (2012)
Parag C. Pendharkar
A multi-agent memetic algorithm approach for distributed object allocation. J. Comput. Sci. 2 (4) (2011)
Parag C. Pendharkar
A hybrid radial basis function and data envelopment analysis neural network for classification. Comput. Oper. Res. 38 (1) (2011)
Parag C. Pendharkar
Probabilistic Approaches for Credit Screening and bankruptcy Prediction. Intell. Syst. Account. Finance Manag. 18 (4) (2011)
Parag C. Pendharkar, Marvin D. Troutt
DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption. Eur. J. Oper. Res. 212 (1) (2011)
Parag C. Pendharkar
Valuing interdependent multi-stage IT investments: A real options approach. Eur. J. Oper. Res. 201 (3) (2010)
Parag C. Pendharkar
Probabilistic estimation of software size and effort. Expert Syst. Appl. 37 (6) (2010)
Parag C. Pendharkar, James A. Rodger
Probabilistic and analytical estimation of software development team size. Int. J. Hybrid Intell. Syst. 7 (2) (2010)
Parag C. Pendharkar
Exhaustive and heuristic search approaches for learning a software defect prediction model. Eng. Appl. Artif. Intell. 23 (1) (2010)
Parag C. Pendharkar
Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers. J. Oper. Res. Soc. 60 (8) (2009)
Parag C. Pendharkar
Identifying poorly documented object oriented software components. Int. J. Hybrid Intell. Syst. 6 (1) (2009)
Marvin D. Troutt, Suresh K. Tadisina, Parag C. Pendharkar
Value functions and trade-offs associated with the analytic hierarchy process composition law. Int. J. Math. Oper. Res. 1 (1/2) (2009)
Parag C. Pendharkar, James A. Rodger
The relationship between software development team size and software development cost. Commun. ACM 52 (1) (2009)
Parag C. Pendharkar
Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services. Expert Syst. Appl. 36 (3) (2009)
Parag C. Pendharkar
An automated procedure for identifying poorly documented object oriented software components. C3S2E (2009)
Parag C. Pendharkar
A threshold varying bisection method for cost sensitive learning in neural networks. Expert Syst. Appl. 34 (2) (2008)
Parag C. Pendharkar
Optimal Allocation of Multimedia Servers in the 3G Wireless Networks. Int. J. Bus. Data Commun. Netw. 4 (1) (2008)
Parag C. Pendharkar
Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks. Comput. Stat. Data Anal. 52 (7) (2008)
Parag C. Pendharkar, James A. Rodger, Girish H. Subramanian
An empirical study of the Cobb-Douglas production function properties of software development effort. Inf. Softw. Technol. 50 (12) (2008)
Parag C. Pendharkar
A Bayesian-Decision Analysis Framework for the Financial Evaluation of Automatic Incident Detection Devices. AMCIS (2008)
Parag C. Pendharkar
A multi-agent approach for dynamic channel allocation. Int. Trans. Oper. Res. 15 (3) (2008)
Parag C. Pendharkar, Girish H. Subramanian
An empirical study of ICASE learning curves and probability bounds for software development effort. Eur. J. Oper. Res. 183 (3) (2007)
Parag C. Pendharkar
The theory and experiments of designing cooperative intelligent systems. Decis. Support Syst. 43 (3) (2007)
Parag C. Pendharkar, Gary J. Koehler
A general steady state distribution based stopping criteria for finite length genetic algorithms. Eur. J. Oper. Res. 176 (3) (2007)
James A. Rodger, Parag C. Pendharkar
A field study of database communication issues peculiar to users of a voice activated medical tracking application. Decis. Support Syst. 43 (1) (2007)
Parag C. Pendharkar
The second largest eigenvalue upper bound for the canonical genetic algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 11 (3) (2007)
Parag C. Pendharkar, James A. Rodger
An empirical study of the impact of team size on software development effort. Inf. Technol. Manag. 8 (4) (2007)
Parag C. Pendharkar
A comparison of gradient ascent, gradient descent and genetic-algorithm-based artificial neural networks for the binary classification problem. Expert Syst. J. Knowl. Eng. 24 (2) (2007)
Parag C. Pendharkar
A Multi-Agent Distributed Channel Allocation Approach for Wireless Networks. VTC Fall (2006)
Parag C. Pendharkar
Scale economies and production function estimation for object-oriented software component and source code documentation size. Eur. J. Oper. Res. 172 (3) (2006)
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. Empir. Softw. Eng. 11 (4) (2006)
Parag C. Pendharkar
Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences. J. Organ. Comput. Electron. Commer. 16 (3-4) (2006)
Parag C. Pendharkar
A data mining-constraint satisfaction optimization problem for cost effective classification. Comput. Oper. Res. 33 (11) (2006)
Parag C. Pendharkar, James A. Rodger
Information technology capital budgeting using a knapsack problem. Int. Trans. Oper. Res. 13 (4) (2006)
Parag C. Pendharkar
A Data Envelopment Analysis-Based Approach for Data Preprocessing. IEEE Trans. Knowl. Data Eng. 17 (10) (2005)
Parag C. Pendharkar
Hybrid approaches for classification under information acquisition cost constraint. Decis. Support Syst. 41 (1) (2005)
Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger
A Probabilistic Model for Predicting Software Development Effort. IEEE Trans. Software Eng. 31 (7) (2005)
Parag C. Pendharkar
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem. Comput. Oper. Res. 32 (2005)
Parag C. Pendharkar, Girish H. Subramanian
An Empirical Study of Learning Curve Theory's application to the Software Development Effort-Experience Relationship in Software Engineering and Project Management. AMCIS (2004)
Parag C. Pendharkar
An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models. Inf. Manag. 42 (1) (2004)
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. Comput. Oper. Res. 31 (4) (2004)
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) (2004)
Parag C. Pendharkar
Editorial. Int. J. Hum. Comput. Stud. 60 (5-6) (2004)
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) (2004)
Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger
A Probabilistic Model for Predicting Software Development Effort. ICCSA (2) (2003)
Parag C. Pendharkar
Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach. Comput. Oper. Res. 30 (2) (2003)
Parag C. Pendharkar, Rahul Bhaskar
A Hybrid Bayesian Network-Based Multi-Agent System And A Distributed Systems Architecture For The Drug Crime Knowledge Management. Int. J. Inf. Technol. Decis. Mak. 2 (4) (2003)
Parag C. Pendharkar, James A. Rodger
Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption. Decis. Support Syst. 36 (1) (2003)
Parag C. Pendharkar, Girish H. Subramanian
Connectionist Models for Learning, Discovering, and Forecasting Software Effort: An Empirical Study. J. Comput. Inf. Syst. 43 (1) (2002)
Parag C. Pendharkar, James A. Rodger
An empirical study of factors impacting the size of object-oriented component code documentation. SIGDOC (2002)
Janice C. Sipior, Laurie Schatzberg, Dorothy E. Leidner, Parag C. Pendharkar
From the Chair. Data Base 33 (2) (2002)
Janice C. Sipior, Laurie Schatzberg, Dorothy E. Leidner, Fred Niederman, Parag C. Pendharkar
From the Chair. Data Base 33 (3) (2002)
Parag C. Pendharkar
A computational study on the performance of artificial neural networks under changing structural design and data distribution. Eur. J. Oper. Res. 138 (1) (2002)
Janice C. Sipior, Laurie Schatzberg, Dorothy E. Leidner, Parag C. Pendharkar
From the Chair. Data Base 33 (1) (2002)
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. J. Comput. Inf. Syst. 41 (4) (2001)
Parag C. Pendharkar
Hybrid Approaches for Classification Under Information Acquisition Cost Constraint. ICIS (2001)
James A. Rodger, Parag C. Pendharkar, Mehdi Khosrow-Pour
Mobile Computing at the Department of Defense. J. Database Manag. 12 (2) (2001)
David J. Paper, James A. Rodger, Parag C. Pendharkar
A BPR case study at Honeywell. Bus. Process. Manag. J. 7 (2) (2001)
Sudhir Nanda, Parag C. Pendharkar
Linear models for minimizing misclassification costs in bankruptcy prediction. Intell. Syst. Account. Finance Manag. 10 (3) (2001)
David J. Paper, James A. Rodger, Parag C. Pendharkar
Development and Initial Testing of a Theoretical Model of Transformation. HICSS (2000)
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)
James A. Rodger, Parag C. Pendharkar
Using Telemedicine in the Department of Defense. Commun. ACM 43 (3) (2000)
Parag C. Pendharkar, James A. Rodger
Nonlinear programming and genetic search application for production scheduling in coal mines. Ann. Oper. Res. 95 (1-4) (2000)
Rahul Bhaskar, Parag C. Pendharkar
The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes. Interfaces 29 (3) (1999)
Parag C. Pendharkar, James A. Rodger
An empirical study of non-binary genetic algorithm-based neural approaches for classification. ICIS (1999)
Parag C. Pendharkar
A fuzzy linear programming model for production planning in coal mines. Comput. Oper. Res. 24 (12) (1997)