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2020 – today
- 2024
[j83]Parag C. Pendharkar:
A Markov Chain Genetic Algorithm Approach for Non-Parametric Posterior Distribution Sampling of Regression Parameters. Algorithms 17(3): 111 (2024)- 2023
- [j82]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): 6247-6268 (2023) - 2022
- [j81]Shachi Sharma
, Parag C. Pendharkar:
On the analysis of power law distribution in software component sizes. J. Softw. Evol. Process. 34(2) (2022) - [j80]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): 5136-5147 (2022) - [d1]Shachi Sharma, Parag C. Pendharkar, Karmeshu:
Software Component Size Dataset. IEEE DataPort, 2022
- 2021
- [j79]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) - 2020
- [j78]Parag C. Pendharkar:
A Comparison of Ensemble and Dimensionality Reduction DEA Models Based on Entropy Criterion. Algorithms 13(9): 232 (2020) - [j77]Parag C. Pendharkar:
Cross efficiency evaluation of decision-making units using the maximum decisional efficiency principle. Comput. Ind. Eng. 145: 106550 (2020)
2010 – 2019
- 2018
- [j76]Parag C. Pendharkar:
Data envelopment analysis models for probabilistic classification. Comput. Ind. Eng. 119: 181-192 (2018) - [j75]Parag C. Pendharkar, Patrick Cusatis:
Trading financial indices with reinforcement learning agents. Expert Syst. Appl. 103: 1-13 (2018) - [j74]Parag C. Pendharkar:
A hybrid genetic algorithm and DEA approach for multi-criteria fixed cost allocation. Soft Comput. 22(22): 7315-7324 (2018) - 2017
- [j73]Parag C. Pendharkar:
Bayesian posterior misclassification error risk distributions for ensemble classifiers. Eng. Appl. Artif. Intell. 65: 484-492 (2017) - [j72]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): 123-129 (2017) - 2015
- [j71]Parag C. Pendharkar:
Linear models for cost-sensitive classification. Expert Syst. J. Knowl. Eng. 32(5): 622-636 (2015) - [j70]Parag C. Pendharkar:
Ensemble based point and confidence interval forecasting in software engineering. Expert Syst. Appl. 42(24): 9441-9448 (2015) - [j69]Dinesh R. Pai, Girish H. Subramanian, Parag C. Pendharkar:
Benchmarking software development productivity of CMMI level 5 projects. Inf. Technol. Manag. 16(3): 235-251 (2015) - [j68]Parag C. Pendharkar:
An ant colony optimization heuristic for constrained task allocation problem. J. Comput. Sci. 7: 37-47 (2015) - 2014
- [j67]Parag C. Pendharkar, Marvin D. Troutt:
Interactive classification using data envelopment analysis. Ann. Oper. Res. 214(1): 125-141 (2014) - [j66]Parag C. Pendharkar:
A misclassification cost risk bound based on hybrid particle swarm optimization heuristic. Expert Syst. Appl. 41(4): 1483-1491 (2014) - [j65]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): 45-56 (2014) - 2013
- [j64]Parag C. Pendharkar:
Genetic learning of virtual team member preferences. Comput. Hum. Behav. 29(4): 1787-1798 (2013) - [j63]Parag C. Pendharkar:
Scatter search based interactive multi-criteria optimization of fuzzy objectives for coal production planning. Eng. Appl. Artif. Intell. 26(5-6): 1503-1511 (2013) - [j62]Parag C. Pendharkar:
A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem. Expert Syst. Appl. 40(10): 3918-3925 (2013) - [j61]Parag C. Pendharkar:
Ensemble Based Ranking of Decision Making Units. INFOR Inf. Syst. Oper. Res. 51(3): 151-159 (2013) - [j60]Parag C. Pendharkar:
A Normalized Probabilistic Expectation-Maximization Neural Network for Minimizing Bayesian Misclassification Cost Risk. Neural Process. Lett. 38(3): 417-431 (2013) - 2012
- [j59]Parag C. Pendharkar, James A. Rodger:
A distributed problem-solving framework for probabilistic software effort estimation. Expert Syst. J. Knowl. Eng. 29(5): 492-505 (2012) - [j58]Parag C. Pendharkar:
Game theoretical applications for multi-agent systems. Expert Syst. Appl. 39(1): 273-279 (2012) - [j57]Parag C. Pendharkar, Marvin D. Troutt:
DEA based data preprocessing for maximum decisional efficiency linear case valuation models. Expert Syst. Appl. 39(10): 9435-9442 (2012) - [j56]Parag C. Pendharkar:
Fuzzy classification using the data envelopment analysis. Knowl. Based Syst. 31: 183-192 (2012) - [c11]Parag C. Pendharkar:
Lower bounds for constrained task allocation problem in distributed computing environment. CCECE 2012: 1-4 - 2011
- [j55]Parag C. Pendharkar:
A hybrid radial basis function and data envelopment analysis neural network for classification. Comput. Oper. Res. 38(1): 256-266 (2011) - [j54]Parag C. Pendharkar, Marvin D. Troutt:
DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption. Eur. J. Oper. Res. 212(1): 155-163 (2011) - [j53]Parag C. Pendharkar:
Probabilistic Approaches for Credit Screening and bankruptcy Prediction. Intell. Syst. Account. Finance Manag. 18(4): 177-193 (2011) - [j52]Parag C. Pendharkar:
A multi-agent memetic algorithm approach for distributed object allocation. J. Comput. Sci. 2(4): 353-364 (2011) - 2010
- [j51]Parag C. Pendharkar:
Exhaustive and heuristic search approaches for learning a software defect prediction model. Eng. Appl. Artif. Intell. 23(1): 34-40 (2010) - [j50]Parag C. Pendharkar:
Valuing interdependent multi-stage IT investments: A real options approach. Eur. J. Oper. Res. 201(3): 847-859 (2010) - [j49]Parag C. Pendharkar:
Probabilistic estimation of software size and effort. Expert Syst. Appl. 37(6): 4435-4440 (2010) - [j48]Parag C. Pendharkar, James A. Rodger:
Probabilistic and analytical estimation of software development team size. Int. J. Hybrid Intell. Syst. 7(2): 137-153 (2010)
2000 – 2009
- 2009
- [j47]Parag C. Pendharkar, James A. Rodger:
The relationship between software development team size and software development cost. Commun. ACM 52(1): 141-144 (2009) - [j46]Parag C. Pendharkar:
Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services. Expert Syst. Appl. 36(3): 6714-6720 (2009) - [j45]Parag C. Pendharkar:
Identifying poorly documented object oriented software components. Int. J. Hybrid Intell. Syst. 6(1): 53-65 (2009) - [j44]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): 97-120 (2009) - [j43]Parag C. Pendharkar:
Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers. J. Oper. Res. Soc. 60(8): 1123-1134 (2009) - [c10]Parag C. Pendharkar:
An automated procedure for identifying poorly documented object oriented software components. C3S2E 2009: 217-222 - 2008
- [j42]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): 3583-3602 (2008) - [j41]Parag C. Pendharkar:
A threshold varying bisection method for cost sensitive learning in neural networks. Expert Syst. Appl. 34(2): 1456-1464 (2008) - [j40]Parag C. Pendharkar:
Optimal Allocation of Multimedia Servers in the 3G Wireless Networks. Int. J. Bus. Data Commun. Netw. 4(1): 80-87 (2008) - [j39]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): 1181-1188 (2008) - [j38]Parag C. Pendharkar:
A multi-agent approach for dynamic channel allocation. Int. Trans. Oper. Res. 15(3): 325-337 (2008) - [c9]Parag C. Pendharkar:
A Bayesian-Decision Analysis Framework for the Financial Evaluation of Automatic Incident Detection Devices. AMCIS 2008: 324 - 2007
- [j37]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): 168-180 (2007) - [j36]Parag C. Pendharkar:
The theory and experiments of designing cooperative intelligent systems. Decis. Support Syst. 43(3): 1014-1030 (2007) - [j35]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): 1436-1451 (2007) - [j34]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): 1086-1096 (2007) - [j33]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): 65-86 (2007) - [j32]Parag C. Pendharkar, James A. Rodger:
An empirical study of the impact of team size on software development effort. Inf. Technol. Manag. 8(4): 253-262 (2007) - [j31]Parag C. Pendharkar:
The second largest eigenvalue upper bound for the canonical genetic algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 11(3): 193-198 (2007) - 2006
- [j30]Parag C. Pendharkar:
A data mining-constraint satisfaction optimization problem for cost effective classification. Comput. Oper. Res. 33(11): 3124-3135 (2006) - [j29]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): 1040-1050 (2006) - [j28]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): 541-553 (2006) - [j27]Parag C. Pendharkar, James A. Rodger:
Information technology capital budgeting using a knapsack problem. Int. Trans. Oper. Res. 13(4): 333-351 (2006) - [j26]Parag C. Pendharkar:
Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences. J. Organ. Comput. Electron. Commer. 16(3-4): 223-245 (2006) - [c8]Parag C. Pendharkar:
A Multi-Agent Distributed Channel Allocation Approach for Wireless Networks. VTC Fall 2006: 1-4 - 2005
- [j25]Parag C. Pendharkar:
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem. Comput. Oper. Res. 32: 2561-2582 (2005) - [j24]Parag C. Pendharkar:
Hybrid approaches for classification under information acquisition cost constraint. Decis. Support Syst. 41(1): 228-241 (2005) - [j23]Parag C. Pendharkar:
A Data Envelopment Analysis-Based Approach for Data Preprocessing. IEEE Trans. Knowl. Data Eng. 17(10): 1379-1388 (2005) - [j22]Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger:
A Probabilistic Model for Predicting Software Development Effort. IEEE Trans. Software Eng. 31(7): 615-624 (2005) - 2004
- [j21]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): 481-498 (2004) - [j20]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): 61-73 (2004) - [j19]Parag C. Pendharkar:
Editorial. Int. J. Hum. Comput. Stud. 60(5-6): 527-528 (2004) - [j18]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): 529-544 (2004) - [j17]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): 771-797 (2004) - [c7]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: 106 - 2003
- [j16]Parag C. Pendharkar:
Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach. Comput. Oper. Res. 30(2): 199-212 (2003) - [j15]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): 117-136 (2003) - [j14]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): 557-576 (2003) - [c6]Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger:
A Probabilistic Model for Predicting Software Development Effort. ICCSA (2) 2003: 581-588 - 2002
- [j13]Janice C. Sipior, Laurie Schatzberg, Dorothy E. Leidner, Parag C. Pendharkar:
From the Chair. Data Base 33(1): 5 (2002) - [j12]Janice C. Sipior, Laurie Schatzberg, Dorothy E. Leidner, Parag C. Pendharkar:
From the Chair. Data Base 33(2): 5 (2002) - [j11]Janice C. Sipior, Laurie Schatzberg, Dorothy E. Leidner, Fred Niederman, Parag C. Pendharkar:
From the Chair. Data Base 33(3): 5 (2002) - [j10]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): 155-177 (2002) - [j9]Parag C. Pendharkar, Girish H. Subramanian:
Connectionist Models for Learning, Discovering, and Forecasting Software Effort: An Empirical Study. J. Comput. Inf. Syst. 43(1): 7-14 (2002) - [c5]Parag C. Pendharkar, James A. Rodger:
An empirical study of factors impacting the size of object-oriented component code documentation. SIGDOC 2002: 152-156 - [p1]James A. Rodger, Parag C. Pendharkar, Mehdi Khosrowpour:
Changing the Face of War through Telemedicine and Mobile E-commerce. Advanced Topics in Database Research, Vol. 1 2002: 267-292 - 2001
- [j8]David J. Paper, James A. Rodger, Parag C. Pendharkar:
A BPR case study at Honeywell. Bus. Process. Manag. J. 7(2): 85-99 (2001) - [j7]Sudhir Nanda, Parag C. Pendharkar:
Linear models for minimizing misclassification costs in bankruptcy prediction. Intell. Syst. Account. Finance Manag. 10(3): 155-168 (2001) - [j6]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): 84-89 (2001) - [j5]James A. Rodger, Parag C. Pendharkar, Mehdi Khosrow-Pour:
Mobile Computing at the Department of Defense. J. Database Manag. 12(2): 36-48 (2001) - [c4]Parag C. Pendharkar:
Hybrid Approaches for Classification Under Information Acquisition Cost Constraint. ICIS 2001: 77-80 - 2000
- [j4]Parag C. Pendharkar, James A. Rodger:
Nonlinear programming and genetic search application for production scheduling in coal mines. Ann. Oper. Res. 95(1-4): 251-267 (2000) - [j3]James A. Rodger, Parag C. Pendharkar:
Using Telemedicine in the Department of Defense. Commun. ACM 43(3): 19-20 (2000) - [c3]David J. Paper, James A. Rodger, Parag C. Pendharkar:
Development and Initial Testing of a Theoretical Model of Transformation. HICSS 2000 - [c2]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: 126-129
1990 – 1999
- 1999
- [j2]Rahul Bhaskar, Parag C. Pendharkar:
The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes. Interfaces 29(3): 77-87 (1999) - [c1]Parag C. Pendharkar, James A. Rodger:
An empirical study of non-binary genetic algorithm-based neural approaches for classification. ICIS 1999: 155-165 - 1997
- [j1]Parag C. Pendharkar:
A fuzzy linear programming model for production planning in coal mines. Comput. Oper. Res. 24(12): 1141-1149 (1997)
Coauthor Index
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