A fuzzy linear programming model for production planning in coal mines. - Parag C. Pendharkar (Comput. Oper. Res., 1997)

An empirical study of non-binary genetic algorithm-based neural approaches for classification. - Parag C. Pendharkar; James A. Rodger (ICIS, 1999)

The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes. - Rahul Bhaskar; Parag C. Pendharkar (Interfaces, 1999)

Development and Initial Testing of a Theoretical Model of Transformation. - David J. Paper; James A. Rodger; Parag C. Pendharkar (HICSS, 2000)

Development and testing of an instrument for measuring the user evaluations of information technology in health care. - Parag C. Pendharkar; Mehdi Khosrowpour; James A. Rodger (IRMA Conference, 2000)

Nonlinear programming and genetic search application for production scheduling in coal mines. - Parag C. Pendharkar; James A. Rodger (Ann. Oper. Res., 2000)

Using Telemedicine in the Department of Defense. - James A. Rodger; Parag C. Pendharkar (Commun. ACM, 2000)

Hybrid Approaches for Classification Under Information Acquisition Cost Constraint. - Parag C. Pendharkar (ICIS, 2001)

A BPR case study at Honeywell. - David J. Paper; James A. Rodger; Parag C. Pendharkar (Bus. Process. Manag. J., 2001)

Linear models for minimizing misclassification costs in bankruptcy prediction. - Sudhir Nanda; Parag C. Pendharkar (Intell. Syst. Account. Finance Manag., 2001)

Mobile Computing at the Department of Defense. - James A. Rodger; Parag C. Pendharkar; Mehdi Khosrow-Pour (J. Database Manag., 2001)

Changing the Face of War through Telemedicine and Mobile E-commerce. - James A. Rodger; Parag C. Pendharkar; Mehdi Khosrowpour (Advanced Topics in Database Research, Vol. 1, 2002)

An empirical study of factors impacting the size of object-oriented component code documentation. - Parag C. Pendharkar; James A. Rodger (SIGDOC, 2002)

From the Chair. - Janice C. Sipior; Laurie Schatzberg; Dorothy E. Leidner; Fred Niederman; Parag C. Pendharkar (Data Base, 2002)

From the Chair. - Janice C. Sipior; Laurie Schatzberg; Dorothy E. Leidner; Parag C. Pendharkar (Data Base, 2002)

A computational study on the performance of artificial neural networks under changing structural design and data distribution. - Parag C. Pendharkar (Eur. J. Oper. Res., 2002)

Connectionist Models for Learning, Discovering, and Forecasting Software Effort: An Empirical Study. - Parag C. Pendharkar; Girish H. Subramanian (J. Comput. Inf. Syst., 2002)

A Probabilistic Model for Predicting Software Development Effort. - Parag C. Pendharkar; Girish H. Subramanian; James A. Rodger (ICCSA (2), 2003)

Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach. - Parag C. Pendharkar (Comput. Oper. Res., 2003)

Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption. - Parag C. Pendharkar; James A. Rodger (Decis. Support Syst., 2003)

A Hybrid Bayesian Network-Based Multi-Agent System And A Distributed Systems Architecture For The Drug Crime Knowledge Management. - Parag C. Pendharkar; Rahul Bhaskar (Int. J. Inf. Technol. Decis. Mak., 2003)

An Empirical Study of Learning Curve Theory's application to the Software Development Effort-Experience Relationship in Software Engineering and Project Management. - Parag C. Pendharkar; Girish H. Subramanian (AMCIS, 2004)

An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification. - Parag C. Pendharkar; James A. Rodger (Comput. Oper. Res., 2004)

An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models. - Parag C. Pendharkar (Inf. Manag., 2004)

Editorial. - Parag C. Pendharkar (Int. J. Hum. Comput. Stud., 2004)

A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application. - James A. Rodger; Parag C. Pendharkar (Int. J. Hum. Comput. Stud., 2004)

Human-computer interaction issues for mobile computing in a variable work context. - Judy York; Parag C. Pendharkar (Int. J. Hum. Comput. Stud., 2004)

An evolutionary multi-agent system for production scheduling. - Parag C. Pendharkar (CCA, 2005)

A threshold varying bisection method for cost sensitive learning in neural networks. - Parag C. Pendharkar (IJCNN, 2005)

A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem. - Parag C. Pendharkar (Comput. Oper. Res., 2005)

A Data Envelopment Analysis-Based Approach for Data Preprocessing. - Parag C. Pendharkar (IEEE Trans. Knowl. Data Eng., 2005)

A Multi-Agent Distributed Channel Allocation Approach for Wireless Networks. - Parag C. Pendharkar (VTC Fall, 2006)

A data mining-constraint satisfaction optimization problem for cost effective classification. - Parag C. Pendharkar (Comput. Oper. Res., 2006)

Scale economies and production function estimation for object-oriented software component and source code documentation size. - Parag C. Pendharkar (Eur. J. Oper. Res., 2006)

An empirical study of the effect of complexity, platform, and program type on software development effort of business applications. - Girish H. Subramanian; Parag C. Pendharkar; Mary Wallace (Empir. Softw. Eng., 2006)

Information technology capital budgeting using a knapsack problem. - Parag C. Pendharkar; James A. Rodger (Int. Trans. Oper. Res., 2006)

Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences. - Parag C. Pendharkar (J. Organ. Comput. Electron. Commer., 2006)

The theory and experiments of designing cooperative intelligent systems. - Parag C. Pendharkar (Decis. Support Syst., 2007)

A field study of database communication issues peculiar to users of a voice activated medical tracking application. - James A. Rodger; Parag C. Pendharkar (Decis. Support Syst., 2007)

A general steady state distribution based stopping criteria for finite length genetic algorithms. - Parag C. Pendharkar; Gary J. Koehler (Eur. J. Oper. Res., 2007)

An empirical study of ICASE learning curves and probability bounds for software development effort. - Parag C. Pendharkar; Girish H. Subramanian (Eur. J. Oper. Res., 2007)

A comparison of gradient ascent, gradient descent and genetic-algorithm-based artificial neural networks for the binary classification problem. - Parag C. Pendharkar (Expert Syst. J. Knowl. Eng., 2007)

An empirical study of the impact of team size on software development effort. - Parag C. Pendharkar; James A. Rodger (Inf. Technol. Manag., 2007)

The second largest eigenvalue upper bound for the canonical genetic algorithms. - Parag C. Pendharkar (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

A Bayesian-Decision Analysis Framework for the Financial Evaluation of Automatic Incident Detection Devices. - Parag C. Pendharkar (AMCIS, 2008)

Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks. - Parag C. Pendharkar (Comput. Stat. Data Anal., 2008)

Optimal Allocation of Multimedia Servers in the 3G Wireless Networks. - Parag C. Pendharkar (Int. J. Bus. Data Commun. Netw., 2008)

An empirical study of the Cobb-Douglas production function properties of software development effort. - Parag C. Pendharkar; James A. Rodger; Girish H. Subramanian (Inf. Softw. Technol., 2008)

A multi-agent approach for dynamic channel allocation. - Parag C. Pendharkar (Int. Trans. Oper. Res., 2008)

An automated procedure for identifying poorly documented object oriented software components. - Parag C. Pendharkar (C3S2E, 2009)

The relationship between software development team size and software development cost. - Parag C. Pendharkar; James A. Rodger (Commun. ACM, 2009)

Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services. - Parag C. Pendharkar (Expert Syst. Appl., 2009)

Identifying poorly documented object oriented software components. - Parag C. Pendharkar (Int. J. Hybrid Intell. Syst., 2009)

Value functions and trade-offs associated with the analytic hierarchy process composition law. - Marvin D. Troutt; Suresh K. Tadisina; Parag C. Pendharkar (Int. J. Math. Oper. Res., 2009)

Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers. - Parag C. Pendharkar (J. Oper. Res. Soc., 2009)

Exhaustive and heuristic search approaches for learning a software defect prediction model. - Parag C. Pendharkar (Eng. Appl. Artif. Intell., 2010)

Valuing interdependent multi-stage IT investments: A real options approach. - Parag C. Pendharkar (Eur. J. Oper. Res., 2010)

Probabilistic estimation of software size and effort. - Parag C. Pendharkar (Expert Syst. Appl., 2010)

Probabilistic and analytical estimation of software development team size. - Parag C. Pendharkar; James A. Rodger (Int. J. Hybrid Intell. Syst., 2010)

A hybrid radial basis function and data envelopment analysis neural network for classification. - Parag C. Pendharkar (Comput. Oper. Res., 2011)

DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption. - Parag C. Pendharkar; Marvin D. Troutt (Eur. J. Oper. Res., 2011)

Probabilistic Approaches for Credit Screening and bankruptcy Prediction. - Parag C. Pendharkar (Intell. Syst. Account. Finance Manag., 2011)

A multi-agent memetic algorithm approach for distributed object allocation. - Parag C. Pendharkar (J. Comput. Sci., 2011)

Lower bounds for constrained task allocation problem in distributed computing environment. - Parag C. Pendharkar (CCECE, 2012)

A distributed problem-solving framework for probabilistic software effort estimation. - Parag C. Pendharkar; James A. Rodger (Expert Syst. J. Knowl. Eng., 2012)

Game theoretical applications for multi-agent systems. - Parag C. Pendharkar (Expert Syst. Appl., 2012)

DEA based data preprocessing for maximum decisional efficiency linear case valuation models. - Parag C. Pendharkar; Marvin D. Troutt (Expert Syst. Appl., 2012)

Fuzzy classification using the data envelopment analysis. - Parag C. Pendharkar (Knowl. Based Syst., 2012)

Genetic learning of virtual team member preferences. - Parag C. Pendharkar (Comput. Hum. Behav., 2013)

Scatter search based interactive multi-criteria optimization of fuzzy objectives for coal production planning. - Parag C. Pendharkar (Eng. Appl. Artif. Intell., 2013)

A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem. - Parag C. Pendharkar (Expert Syst. Appl., 2013)

Ensemble Based Ranking of Decision Making Units. - Parag C. Pendharkar (INFOR Inf. Syst. Oper. Res., 2013)

A Normalized Probabilistic Expectation-Maximization Neural Network for Minimizing Bayesian Misclassification Cost Risk. - Parag C. Pendharkar (Neural Process. Lett., 2013)

Interactive classification using data envelopment analysis. - Parag C. Pendharkar; Marvin D. Troutt (Ann. Oper. Res., 2014)

A misclassification cost risk bound based on hybrid particle swarm optimization heuristic. - Parag C. Pendharkar (Expert Syst. Appl., 2014)

Machine Learning Techniques for Predicting Hospital Length of Stay in Pennsylvania Federal and Specialty Hospitals. - Parag C. Pendharkar; Hitesh Khurana (Int. J. Comput. Sci. Appl., 2014)

Linear models for cost-sensitive classification. - Parag C. Pendharkar (Expert Syst. J. Knowl. Eng., 2015)

Ensemble based point and confidence interval forecasting in software engineering. - Parag C. Pendharkar (Expert Syst. Appl., 2015)

Benchmarking software development productivity of CMMI level 5 projects. - Dinesh R. Pai; Girish H. Subramanian; Parag C. Pendharkar (Inf. Technol. Manag., 2015)

An ant colony optimization heuristic for constrained task allocation problem. - Parag C. Pendharkar (J. Comput. Sci., 2015)

Bayesian posterior misclassification error risk distributions for ensemble classifiers. - Parag C. Pendharkar (Eng. Appl. Artif. Intell., 2017)

An Examination of Determinants of Software Testing and Project Management Effort. - Girish H. Subramanian; Parag C. Pendharkar; Dinesh R. Pai (J. Comput. Inf. Syst., 2017)

Data envelopment analysis models for probabilistic classification. - Parag C. Pendharkar (Comput. Ind. Eng., 2018)

Trading financial indices with reinforcement learning agents. - Parag C. Pendharkar; Patrick Cusatis (Expert Syst. Appl., 2018)

A hybrid genetic algorithm and DEA approach for multi-criteria fixed cost allocation. - Parag C. Pendharkar (Soft Comput., 2018)

A Comparison of Ensemble and Dimensionality Reduction DEA Models Based on Entropy Criterion. - Parag C. Pendharkar (Algorithms, 2020)

Cross efficiency evaluation of decision-making units using the maximum decisional efficiency principle. - Parag C. Pendharkar (Comput. Ind. Eng., 2020)

Quantitative software project management with mixed data: A comparison of radial, nonradial, and ensemble data envelopment analysis models. - Parag C. Pendharkar; James A. Rodger (J. Softw. Evol. Process., 2021)

On the analysis of power law distribution in software component sizes. - Shachi Sharma; Parag C. Pendharkar (J. Softw. Evol. Process., 2022)

Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules. - Shachi Sharma; Parag C. Pendharkar; Karmeshu (IEEE Trans. Software Eng., 2022)

Software Component Size Dataset. - Shachi Sharma; Parag C. Pendharkar; Karmeshu (IEEE DataPort, 2022)

A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions. - Parag C. Pendharkar (Neural Process. Lett., 2023)

A Markov Chain Genetic Algorithm Approach for Non-Parametric Posterior Distribution Sampling of Regression Parameters. - Parag C. Pendharkar (Algorithms, 2024)

Decisional performance efficiencies of cross-efficiency DEA decision-making units using benevolent criterion. - Parag C. Pendharkar (Oper. Res., 2025)