Parag C. Pendharkar

发表

A misclassification cost risk bound based on hybrid particle swarm optimization heuristic

Parag C. Pendharkar, 2014, Expert Syst. Appl..

Telemedicine and Business Process Redesign at the Department of Defense

Parag C. Pendharkar, James A. Rodgers, P. Pendharkar, 2001 .

An automated procedure for identifying poorly documented object oriented software components

Parag C. Pendharkar, 2009, C3S2E '09.

Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2003, Decis. Support Syst..

Lower bounds for constrained task allocation problem in distributed computing environment

Parag C. Pendharkar, 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Military applications of natural language processing and software

Parag C. Pendharkar, James A. Rodger, Tamara V. Trank, 2002 .

On site: using telemedicine in the Department of Defense

Parag C. Pendharkar, James A. Rodger, 2000, CACM.

From the Chair

Janice C. Sipior, Parag C. Pendharkar, Dorothy E. Leidner, 2002, DATB.

An empirical study of design and testing of hybrid evolutionary–neural approach for classification

Parag C. Pendharkar, P. Pendharkar, 2001 .

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, P. Pendharkar, 2004, Comput. Oper. Res..

A data mining-constraint satisfaction optimization problem for cost effective classification

Parag C. Pendharkar, P. Pendharkar, 2006, Comput. Oper. Res..

Information technology capital budgeting using a knapsack problem

Parag C. Pendharkar, James A. Rodger, 2006, Int. Trans. Oper. Res..

A Multi-Agent Distributed Channel Allocation Approach for Wireless Networks

Parag C. Pendharkar, P. Pendharkar, 2006, IEEE Vehicular Technology Conference.

An empirical study of the impact of team size on software development effort

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2007, Inf. Technol. Manag..

An ant colony optimization heuristic for constrained task allocation problem

Parag C. Pendharkar, 2015, J. Comput. Sci..

From the Chair

Janice C. Sipior, Parag C. Pendharkar, Dorothy E. Leidner, 2002, DATB.

Connectionist and evolutionary models for learning, discovering and forecasting software effort

Parag C. Pendharkar, Girish H. Subramanian, P. Pendharkar, 2003 .

Identifying poorly documented object oriented software components

Parag C. Pendharkar, 2009, Int. J. Hybrid Intell. Syst..

A threshold varying bisection method for cost sensitive learning in neural networks

Parag C. Pendharkar, 2005 .

Ensemble Based Ranking of Decision Making Units

Parag C. Pendharkar, P. Pendharkar, 2013, INFOR Inf. Syst. Oper. Res..

A BPR case study at Honeywell

Parag C. Pendharkar, James A. Rodger, David J. Paper, 2001, Bus. Process. Manag. J..

Diffusion theory and the adoption of software innovation: Common errors and future issues

Parag C. Pendharkar, James A. Rodger, Ganesh D. Bhatt, 1996 .

Interactive classification using data envelopment analysis

Parag C. Pendharkar, Marvin D. Troutt, 2014, Ann. Oper. Res..

Association, statistical, mathematical and neural approaches for mining breast cancer patterns

Parag C. Pendharkar, P. Pendharkar, 1999 .

Ensemble based point and confidence interval forecasting in software engineering

Parag C. Pendharkar, P. Pendharkar, 2015, Expert Syst. Appl..

Cross efficiency evaluation of decision-making units using the maximum decisional efficiency principle

Parag C. Pendharkar, 2020, Comput. Ind. Eng..

A general steady state distribution based stopping criteria for finite length genetic algorithms

Parag C. Pendharkar, Gary J. Koehler, P. Pendharkar, 2007, Eur. J. Oper. Res..

Probabilistic and analytical estimation of software development team size

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2010, Int. J. Hybrid Intell. Syst..

Probabilistic Approaches for Credit Screening and bankruptcy Prediction

Parag C. Pendharkar, P. Pendharkar, 2011, Intell. Syst. Account. Finance Manag..

Exhaustive and heuristic search approaches for learning a software defect prediction model

Parag C. Pendharkar, P. Pendharkar, 2010, Eng. Appl. Artif. Intell..

A computational study on the performance of artificial neural networks under changing structural design and data distribution

Parag C. Pendharkar, P. Pendharkar, 2002, Eur. J. Oper. Res..

A Normalized Probabilistic Expectation-Maximization Neural Network for Minimizing Bayesian Misclassification Cost Risk

Parag C. Pendharkar, P. Pendharkar, 2013, Neural Processing Letters.

Sherpa: a multi‐agent information system for the drug crime process and knowledge management

Parag C. Pendharkar, Rahul Bhaskar, 1998 .

Connectionist Models for Learning, Discovering, and Forecasting Software Effort: An Empirical Study

Parag C. Pendharkar, Girish H. Subramanian, P. Pendharkar, 2002, J. Comput. Inf. Syst..

Data mining using client/server systems

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2000 .

Multi-agent learning for adaptive scheduling

Siddhartha Bhattacharyya, Parag C. Pendharkar, Arkalgud Ramaprasad, 1997 .

Data envelopment analysis models for probabilistic classification

Parag C. Pendharkar, P. Pendharkar, 2018, Comput. Ind. Eng..

The theory and experiments of designing cooperative intelligent systems

Parag C. Pendharkar, P. Pendharkar, 2007, Decis. Support Syst..

A data envelopment analysis-based approach for data preprocessing

Parag C. Pendharkar, 2005, IEEE Transactions on Knowledge and Data Engineering.

A hybrid radial basis function and data envelopment analysis neural network for classification

Parag C. Pendharkar, P. Pendharkar, 2011, Comput. Oper. Res..

Cell-to-switch level planning in mobile wireless networks for efficient management of radio resources

Debashis Saha, Parag C. Pendharkar, Ambuj Mahanti, 2007 .

Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach

Parag C. Pendharkar, P. Pendharkar, 2003, Comput. Oper. Res..

An empirical study of the Cobb-Douglas production function properties of software development effort

Parag C. Pendharkar, James A. Rodger, Girish H. Subramanian, 2008, Inf. Softw. Technol..

Nonlinear programming and genetic search application for production scheduling in coal mines

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2000, Ann. Oper. Res..

A multi-agent memetic algorithm approach for distributed object allocation

Parag C. Pendharkar, P. Pendharkar, 2011, J. Comput. Sci..

Development and Testing of an Instrument for Measuring the User Evaluations of Information Technology in Health Care

Parag C. Pendharkar, James A. Rodger, Mehdi Khosrow-Pour, 2000, IRMA Conference.

Value functions and trade-offs associated with the analytic hierarchy process composition law

Parag C. Pendharkar, Marvin D. Troutt, Suresh K. Tadisina, 2009, Int. J. Math. Oper. Res..

Operational Auditing And Testing In Client/Server Systems

Parag C. Pendharkar, James A. Rodger, Shishir Kumar, 2011, BIS 2011.

A distributed problem-solving framework for probabilistic software effort estimation

Parag C. Pendharkar, James A. Rodger, 2012, Expert Syst. J. Knowl. Eng..

A fuzzy linear programming model for production planning in coal mines

Parag C. Pendharkar, 1997, Comput. Oper. Res..

Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences

Parag C. Pendharkar, P. Pendharkar, 2006, J. Organ. Comput. Electron. Commer..

A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem

Parag C. Pendharkar, 2013, Expert Syst. Appl..

A comparison of gradient ascent, gradient descent and genetic-algorithm-based artificial neural networks for the binary classification problem

Parag C. Pendharkar, 2007, Expert Syst. J. Knowl. Eng..

A Comparison of Ensemble and Dimensionality Reduction DEA Models Based on Entropy Criterion

Parag C. Pendharkar, 2020, Algorithms.

Optimal Allocation of Multimedia Servers in the 3G Wireless Networks

Parag C. Pendharkar, 2008, Int. J. Bus. Data Commun. Netw..

The relationship between software development team size and software development cost

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2009, CACM.

Development and initial testing of a theoretical model of transformation

Parag C. Pendharkar, James A. Rodger, David J. Paper, 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

From the Chair

Janice C. Sipior, Parag C. Pendharkar, Fred Niederman, 2002, DATB.

Managing Data Mining Technologies in Organizations: Techniques and Applications

Parag C. Pendharkar, 2003 .

An empirical study of ICASE learning curves and probability bounds for software development effort

Parag C. Pendharkar, Girish H. Subramanian, P. Pendharkar, 2007, Eur. J. Oper. Res..

An empirical study of non-binary genetic algorithm-based neural approaches for classification

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 1999, ICIS.

Scatter search based interactive multi-criteria optimization of fuzzy objectives for coal production planning

Parag C. Pendharkar, 2013, Eng. Appl. Artif. Intell..

End-user perceptions of quality and information technology in health care

Parag C. Pendharkar, James A. Rodger, David Paper, 1996 .

Benchmarking software development productivity of CMMI level 5 projects

Parag C. Pendharkar, Girish H. Subramanian, Dinesh R. Pai, 2015, Inf. Technol. Manag..

A multi-agent approach for dynamic channel allocation

Parag C. Pendharkar, 2008, Int. Trans. Oper. Res..

Scale economies and production function estimation for object-oriented software component and source code documentation size

Parag C. Pendharkar, P. Pendharkar, 2006, Eur. J. Oper. Res..

Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study*

Siddhartha Bhattacharyya, Parag C. Pendharkar, P. Pendharkar, 1998 .

A threshold varying bisection method for cost sensitive learning in neural networks

Parag C. Pendharkar, P. Pendharkar, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Human-computer interaction issues for mobile computing in a variable work context

Parag C. Pendharkar, Judy York, P. Pendharkar, 2004, Int. J. Hum. Comput. Stud..

An empirical study of factors impacting the size of object-oriented component code documentation

Parag C. Pendharkar, James A. Rodger, 2002, SIGDOC '02.

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, P. Pendharkar, 2004, AMCIS.

Game theoretical applications for multi-agent systems

Parag C. Pendharkar, P. Pendharkar, 2012, Expert Syst. Appl..

The second largest eigenvalue upper bound for the canonical genetic algorithms

Parag C. Pendharkar, 2007, Int. J. Knowl. Based Intell. Eng. Syst..

Using Telemedicine in the Department of Defense.

Parag C. Pendharkar, James A. Rodger, 2000 .

Trading financial indices with reinforcement learning agents

Parag C. Pendharkar, Patrick Cusatis, P. Pendharkar, 2018, Expert Syst. Appl..

DEA based data preprocessing for maximum decisional efficiency linear case valuation models

Parag C. Pendharkar, Marvin D. Troutt, 2012, Expert Syst. Appl..

The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes

Parag C. Pendharkar, Rahul Bhaskar, 1999, Interfaces.

Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services

Parag C. Pendharkar, P. Pendharkar, 2009, Expert Syst. Appl..

An empirical study of the effect of complexity, platform, and program type on software development effort of business applications

Parag C. Pendharkar, Girish H. Subramanian, Mary Wallace, 2006, Empirical Software Engineering.

Probabilistic estimation of software size and effort

Parag C. Pendharkar, P. Pendharkar, 2010, Expert Syst. Appl..

Genetic learning of virtual team member preferences

Parag C. Pendharkar, P. Pendharkar, 2013, Comput. Hum. Behav..

An Examination of Determinants of Software Testing and Project Management Effort

Parag C. Pendharkar, Girish H. Subramanian, Dinesh R. Pai, 2017, J. Comput. Inf. Syst..

Machine Learning Techniques for Predicting Hospital Length of Stay in Pennsylvania Federal and Specialty Hospitals

Parag C. Pendharkar, Hitesh Khurana, P. Pendharkar, 2014, Int. J. Comput. Sci. Appl..

DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption

Parag C. Pendharkar, Marvin D. Troutt, 2011, Eur. J. Oper. Res..

A field study of database communication issues peculiar to users of a voice activated medical tracking application

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2007, Decis. Support Syst..

A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application

Parag C. Pendharkar, James A. Rodger, P. Pendharkar, 2004, Int. J. Hum. Comput. Stud..

A memetic algorithm for distributed object allocations

Parag C. Pendharkar, P. Pendharkar, 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Editorial

Parag C. Pendharkar, 2004, Int. J. Hum. Comput. Stud..

A hybrid genetic algorithm and DEA approach for multi-criteria fixed cost allocation

Parag C. Pendharkar, 2018, Soft Comput..

A Probabilistic Model for Predicting Software Development Effort

Parag C. Pendharkar, James A. Rodger, Girish H. Subramanian, 2003, ICCSA.

Valuing interdependent multi-stage IT investments: A real options approach

Parag C. Pendharkar, 2010, Eur. J. Oper. Res..

Mobile Computing at the Department of Defense

Parag C. Pendharkar, James A. Rodger, Mehdi Khosrow-Pour, 2001, J. Database Manag..

A Hybrid Bayesian Network-Based Multi-Agent System And A Distributed Systems Architecture For The Drug Crime Knowledge Management

Parag C. Pendharkar, Rahul Bhaskar, 2003, Int. J. Inf. Technol. Decis. Mak..

An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models

Parag C. Pendharkar, P. Pendharkar, 2004, Inf. Manag..

Changing the Face of War through Telemedicine and Mobile E-commerce

Parag C. Pendharkar, James A. Rodger, Mehdi Khosrow-Pour, 2002, Advanced Topics in Database Research, Vol. 1.

A Bayesian-Decision Analysis Framework for the Financial Evaluation of Automatic Incident Detection Devices

Parag C. Pendharkar, 2008, AMCIS.

Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks

Parag C. Pendharkar, 2008, Comput. Stat. Data Anal..

Application of Bayesian Network Classifiers and Data Envelopment Analysis for Mining Breast Cancer Patterns

Parag C. Pendharkar, James A. Rodger, Mehdi Khosrowpour, 2000 .

Linear models for cost-sensitive classification

Parag C. Pendharkar, 2015, Expert Syst. J. Knowl. Eng..

A probabilistic model for predicting software development effort

Parag C. Pendharkar, James A. Rodger, Girish H. Subramanian, 2003, IEEE Transactions on Software Engineering.

A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem

Parag C. Pendharkar, P. Pendharkar, 2005, Comput. Oper. Res..

Hybrid approaches for classification under information acquisition cost constraint

Parag C. Pendharkar, P. Pendharkar, 2005, Decis. Support Syst..

A computational study on design and performance issues of multi-agent intelligent systems for dynamic scheduling environments

Parag C. Pendharkar, P. Pendharkar, 1999 .

An evolutionary misclassification cost minimization approach for medical diagnosis

Parag C. Pendharkar, James A. Rodger, Rahul Bhaskar, 2003 .

Quantitative software project management with mixed data: A comparison of radial, nonradial, and ensemble data envelopment analysis models

Parag C. Pendharkar, James A. Rodger, 2021, J. Softw. Evol. Process..

Allocating Fixed Costs Using Multi-Coalition Epsilon Equilibrium

Parag C. Pendharkar, P. Pendharkar, 2021 .

Hybrid radial basis function DEA and its applications to regression, segmentation and cluster analysis problems

Parag C. Pendharkar, P. Pendharkar, 2021 .

A potential use of data envelopment analysis for the inverse classification problem

Parag C. Pendharkar, 2002 .

Management of information technology and quality performance in health care facilities

Parag C. Pendharkar, James A. Rodger, David Paper, 1999 .

Reengineering the Human Resource Information System at Gamma

Parag C. Pendharkar, James A. Rodger, David Paper, 1998 .

A decision-making framework for justifying a portfolio of IT projects

Parag C. Pendharkar, P. Pendharkar, 2014 .