Parag C. Pendharkar
Orcid: 0000-0001-8120-1995
According to our database1,
Parag C. Pendharkar
authored at least 92 papers
between 1997 and 2024.
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Bibliography
2024
A Markov Chain Genetic Algorithm Approach for Non-Parametric Posterior Distribution Sampling of Regression Parameters.
Algorithms, March, 2024
2023
A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions.
Neural Process. Lett., October, 2023
2022
Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules.
IEEE Trans. Software Eng., 2022
J. Softw. Evol. Process., 2022
2021
Quantitative software project management with mixed data: A comparison of radial, nonradial, and ensemble data envelopment analysis models.
J. Softw. Evol. Process., 2021
2020
Cross efficiency evaluation of decision-making units using the maximum decisional efficiency principle.
Comput. Ind. Eng., 2020
A Comparison of Ensemble and Dimensionality Reduction DEA Models Based on Entropy Criterion.
Algorithms, 2020
2018
A hybrid genetic algorithm and DEA approach for multi-criteria fixed cost allocation.
Soft Comput., 2018
Expert Syst. Appl., 2018
Comput. Ind. Eng., 2018
2017
J. Comput. Inf. Syst., 2017
Bayesian posterior misclassification error risk distributions for ensemble classifiers.
Eng. Appl. Artif. Intell., 2017
2015
J. Comput. Sci., 2015
Inf. Technol. Manag., 2015
Expert Syst. Appl., 2015
2014
Machine Learning Techniques for Predicting Hospital Length of Stay in Pennsylvania Federal and Specialty Hospitals.
Int. J. Comput. Sci. Appl., 2014
A misclassification cost risk bound based on hybrid particle swarm optimization heuristic.
Expert Syst. Appl., 2014
2013
A Normalized Probabilistic Expectation-Maximization Neural Network for Minimizing Bayesian Misclassification Cost Risk.
Neural Process. Lett., 2013
A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem.
Expert Syst. Appl., 2013
Scatter search based interactive multi-criteria optimization of fuzzy objectives for coal production planning.
Eng. Appl. Artif. Intell., 2013
2012
DEA based data preprocessing for maximum decisional efficiency linear case valuation models.
Expert Syst. Appl., 2012
A distributed problem-solving framework for probabilistic software effort estimation.
Expert Syst. J. Knowl. Eng., 2012
Lower bounds for constrained task allocation problem in distributed computing environment.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012
2011
J. Comput. Sci., 2011
Intell. Syst. Account. Finance Manag., 2011
DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption.
Eur. J. Oper. Res., 2011
A hybrid radial basis function and data envelopment analysis neural network for classification.
Comput. Oper. Res., 2011
2010
Int. J. Hybrid Intell. Syst., 2010
Eur. J. Oper. Res., 2010
Exhaustive and heuristic search approaches for learning a software defect prediction model.
Eng. Appl. Artif. Intell., 2010
2009
Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers.
J. Oper. Res. Soc., 2009
Value functions and trade-offs associated with the analytic hierarchy process composition law.
Int. J. Math. Oper. Res., 2009
Int. J. Hybrid Intell. Syst., 2009
Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services.
Expert Syst. Appl., 2009
The relationship between software development team size and software development cost.
Commun. ACM, 2009
An automated procedure for identifying poorly documented object oriented software components.
Proceedings of the Canadian Conference on Computer Science & Software Engineering, 2009
2008
An empirical study of the Cobb-Douglas production function properties of software development effort.
Inf. Softw. Technol., 2008
Int. J. Bus. Data Commun. Netw., 2008
Expert Syst. Appl., 2008
Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks.
Comput. Stat. Data Anal., 2008
A Bayesian-Decision Analysis Framework for the Financial Evaluation of Automatic Incident Detection Devices.
Proceedings of the Learning from the past & charting the future of the discipline. 14th Americas Conference on Information Systems, 2008
2007
Int. J. Knowl. Based Intell. Eng. Syst., 2007
Inf. Technol. Manag., 2007
A comparison of gradient ascent, gradient descent and genetic-algorithm-based artificial neural networks for the binary classification problem.
Expert Syst. J. Knowl. Eng., 2007
An empirical study of ICASE learning curves and probability bounds for software development effort.
Eur. J. Oper. Res., 2007
A general steady state distribution based stopping criteria for finite length genetic algorithms.
Eur. J. Oper. Res., 2007
A field study of database communication issues peculiar to users of a voice activated medical tracking application.
Decis. Support Syst., 2007
Decis. Support Syst., 2007
2006
Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences.
J. Organ. Comput. Electron. Commer., 2006
Int. Trans. Oper. Res., 2006
An empirical study of the effect of complexity, platform, and program type on software development effort of business applications.
Empir. Softw. Eng., 2006
Scale economies and production function estimation for object-oriented software component and source code documentation size.
Eur. J. Oper. Res., 2006
A data mining-constraint satisfaction optimization problem for cost effective classification.
Comput. Oper. Res., 2006
Proceedings of the 64th IEEE Vehicular Technology Conference, 2006
2005
IEEE Trans. Software Eng., 2005
IEEE Trans. Knowl. Data Eng., 2005
Decis. Support Syst., 2005
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem.
Comput. Oper. Res., 2005
2004
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.
Int. J. Hum. Comput. Stud., 2004
An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models.
Inf. Manag., 2004
An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification.
Comput. Oper. Res., 2004
An Empirical Study of Learning Curve Theory's application to the Software Development Effort-Experience Relationship in Software Engineering and Project Management.
Proceedings of the 10th Americas Conference on Information Systems, 2004
2003
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., 2003
Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption.
Decis. Support Syst., 2003
Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach.
Comput. Oper. Res., 2003
2002
Connectionist Models for Learning, Discovering, and Forecasting Software Effort: An Empirical Study.
J. Comput. Inf. Syst., 2002
A computational study on the performance of artificial neural networks under changing structural design and data distribution.
Eur. J. Oper. Res., 2002
An empirical study of factors impacting the size of object-oriented component code documentation.
Proceedings of the 20st annual international conference on Documentation, 2002
Changing the Face of War through Telemedicine and Mobile E-commerce.
Proceedings of the Advanced Topics in Database Research, Vol. 1, 2002
2001
Development and Testing of an Instrument for Measuring the User Evaluations of Information Technology in Health Care.
J. Comput. Inf. Syst., 2001
Intell. Syst. Account. Finance Manag., 2001
2000
Nonlinear programming and genetic search application for production scheduling in coal mines.
Ann. Oper. Res., 2000
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000
1999
The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes.
Interfaces, 1999
An empirical study of non-binary genetic algorithm-based neural approaches for classification.
Proceedings of the Twentieth International Conference on Information Systems, 1999
1997
Comput. Oper. Res., 1997