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Written by Horia F. Pop   

Papers in publications from ISI Science Citation Index Expanded

[1] Sârbu, C., Dumitrescu, D., and Pop, H. F. Optimum selection and combination of solvent systems in thin layer cromatography using the fuzzy sets theory. Revista de Chimie 44, 5 (1993), 450-459.
[2] Dumitrescu, D., Sârbu, C., and Pop, H. F. A fuzzy divisive hierarchical clustering algorithm for the optimal choice of set of solvent systems. Analytical Letters 27, 5 (1994). 1031-1054.
[3] Dumitrescu, D., Pop, H. F., and Sârbu, C. Fuzzy hierarchical cross-classification of Greek muds. Journal of Chemical Information and Computer Sciences 35 (1995), 851-857.
[4] Pop, H. F., Dumitrescu, D., and Sârbu, C. A study of Roman pottery (terra sigillata) using hierarchical fuzzy clustering. Analytica Chimica Acta 310, 2 (1995), 269-279.
[5] Dumitrescu, D., and Pop, H. F. Convex decomposition of fuzzy partitions, I. Fuzzy Sets and Systems 73, 3 (1995), 365-376. ISSN 0165-0114.
[6] Sârbu, C., Horowitz, O., and Pop, H. F. Fuzzy cross-classification of the chemical elements, based both on their physical, chemical and structural features. Journal of Chemical Information and Computer Sciences 36, 6 (1996), 1098-1108.
[7] Pop, H. F., Sârbu, C., Horowitz, O., and Dumitrescu, D. A fuzzy classification of the chemical elements. Journal of Chemical Information and Computer Sciences 36, 3 (1996), 465-482.
[8] Pop, H. F., and Sârbu, C. A new fuzzy regression algorithm. Analytical Chemistry 68, 5 (1996), 771-778.
[9] Sârbu, C., and Pop, H. F. Fuzzy regression. ii: Outliers cases. Revista de Chimie 48, 10-11 (1997), 888-891.
[10] Pop, H. F., and Sârbu, C. Fuzzy regression. i: The heteroskedastic case. Revista de Chimie 48, 8 (1997), 732-737.
[11] Pop, H. F., and Sârbu, C. The fuzzy hierarchical cross-clustering algorithm. Improvements and Comparative study. Journal of Chemical Information and Computer Sciences 37, 3 (1997), 510-516.
[12] Dumitrescu, D., and Pop, H. F. Convex decomposition of fuzzy partitions, II. Fuzzy Sets and Systems 96, 1 (1998), 111-118. ISSN 0165-0114.
[13] Horowitz, O., Pop, H. F., and Sârbu, C. Recognition of the forms applied to chemical elements. Revista de Chimie 51, 1 (2000), 17-29.
[14] Cundari, T. R., Deng, J., Pop, H. F., and Sârbu, C. Structural analysis of transition metal Beta-X substituent interactions. Towards the use of soft computing methods for catalyst modeling. Journal of Chemical Information and Computer Sciences 40, 4 (2000), 1052-1061.
[15] Sârbu, C., and Pop, H. F. Fuzzy clustering analysis of the first 10 MEIC chemicals. Chemosphere 40, 5 (2000), 513-520.
[16] Sârbu, C., and Pop, H. F. Fuzzy robust estimation of central location. Talanta 54 (2001), 125-130.
[17] Pop, H. F., Pop, T. L., and Sârbu, C. Assessment of heart disease using fuzzy classification techniques. The Scientific World Journal 1 (2001), 369-390. ISSN 1537-744X.
[18] Sârbu, C., and Pop, H. F. Fuzzy classification and comparison of some Romanian and American coals. MATCH - Communications in Mathematical and in Computer Chemistry, 44 (October 2001), 387-400.
[19] Cundari, T. R., Sârbu, C., and Pop, H. F. Robust Fuzzy Principal Component Analysis (FPCA). a comparative study concerning interaction of carbon-hydrogen bonds with molybdenum-oxo bonds. Journal of Chemical Information and Computer Sciences 42, 6 (2002), 1363-1369.
[20] Sârbu, C., and Pop, H. F. Fuzzy soft-computing methods and their applications in chemistry. In Reviews in Computational Chemistry, K. B. Lipkowitz, R. Larter, and T. R. Cundari, Eds., vol. 20. VCH Publishers, New York, 2004, pp. 249-332. ISBN 0-471-44525-8.
[21] Sârbu, C., and Pop, H. F. Principal Component Analysis versus Fuzzy Principal Component Analysis. A case study: The quality of Danube water (1985-1996). Talanta 65 (2005), 1215-1220.
[22] Sarbu, C., Pop, H. F., Elekes, R. S., and Covaci, G. Intelligent disease identification based on discriminant analysis. Revista de Chimie 59, 11 (2008), 1237-1241.
[23] Pop, H. F., Einax, J. W., and Sârbu, C. Classical and fuzzy principal component analysis of some environmental samples concerning the pollution with heavy metals. Chemometrics and Intelligent Laboratory Systems 97, 1 (2009), 25-32.
[24] Pop, H. F., and Sârbu, C. A new fuzzy discriminant analysis method. MATCH - Communications in Mathematical and in Computer Chemistry, 69 (2012). To appear.

Papers in publications from ISI Conference Proceedings Citation Index

[1] Frentiu, M., and Pop, H. F. Tracking mistakes in software measurement using fuzzy data analysis. In The 4-th International Conference RoEduNet Romania (Sovata, Târgu-Mures, Romania, May 20-22 2005), pp. 150-157. Organized by the Romanian Education Network RoEduNet and the ``Petru Maior'' University, Târgu-Mures. ISBN 973-7794-26-5.
[2] Fei, X., Lu, S., Pop, H. F., and Liang, L. R. GFBA: A genetic fuzzy biclustering algorithm for discovering value-coherent biclusters. In 2007 International Symposium on Bioinformatics Research and Applications (ISBRA'2007). Lecture Notes in Bioinformatics, LNCS 4463/2007 (Georgia State University, Atlanta, May 6-9 2007), pp. 1-12. ISBN: 978-3-540-72030-0.
[3] Pop, H. F. A tutorial on object-orientedness in functional programming. In Second Central European Functional Programming Summer School (CEFP 2007), Revised Selected Lectures. Lecture Notes in Computer Science, LNCS 5161/2008 (Babes-Bolyai University, Cluj-Napoca, Romania, June 23-30 2007), pp. 228-249. ISBN 978-3-540-88058-5.
[4] Pop, H. F., and Frentiu, M. Applications of principal components methods. In Complexity in Artificial and Natural Systems, Proceedings (2008), Editura Universitatii Petru Maior, Târgu-Mures, pp. 267-270. ISBN 978-973-7794-76-5.
[5] Vescan, A., Grosan, C., and Pop, H. F. Evolutionary algorithms for the component selection problem. In The 2nd International Workshop Evolutionary Techniques in Data Processing (2008), vol. 1529-4188, IEEE Computer Society Press, pp. 509-513. ISBN 978-0-7695-3299-8.
[6] Vescan, A., and Pop, H. F. Automatic configuration for the component selection problem. In CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology (Cergy-Pontoise, France, October 27-31 2008), ACM, New York, NY, USA, pp. 479-483. ISBN 978-1-60558-046-3.
[7] Tan, L., Fotouhi, F., Grosky, W., Pop, H. F., and Mouaddib, N. Improving similarity join algorithms using fuzzy clustering technique. In ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops (Washington, DC, USA, 2009), IEEE Computer Society, pp. 545-550.
[8] Pop, H. F., and Frentiu, M. Effort estimation by analogy based on soft computing methods. In KEPT 2009 International Conference Knowledge Engineering Principles and Techniques. Selected Papers (2009), Cluj University Press, Cluj-Napoca, Romania, pp. 239-246. (MathSciNet, ZMath).
[9] Serban, C., Vescan, A., and Pop, H. F. A new component selection algorithm based on metrics and fuzzy clustering analysis. In Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems. Lecture Notes in Artificial Intelligence, LNCS 5572/2009 (Salamanca, Spain, June 10-12 2009), pp. 621-628. ISBN: 978-3-642-02318-7.
[10] Serban, C., Vescan, A., and Pop, H. F. A conceptual framework for component-based system metrics definition. In 9-th RoEduNet IEEE International Conference (Lucian Blaga University, Sibiu, Romania, June 24-26 2010), pp. 73-78. http://roedu2010.ulbsibiu.ro.
[11] Serban, C., Vescan, A., and Pop, H. F. A formal model for component-based system assessment. In Second international conference on Computational Intelligence, Modelling and Simulation (Bali, September 28-30 2010), pp. 261-266.
[12] Georgescu, V., Pop, H. F., Tudorache, O., Sabau, H., Ciontu, C., and Strâmbu, V. Romanian registry on cardiac arrest - a piece in the puzzle - romanian contribution in the eureca project. In 10th Congress of the European Ressuscitation Council. Journal of Resuscitation, 81/2010 (Porto, Portugal, December 2-4 2010), J. Nolan, Ed., Elsevier Publishers, p. S39. doi:10.1016/j.resuscitation.2010.09.167. (Scopus).
[13] Miron, A., Ainouz, S., Rogozan, A., Bensrhair, A., and Pop, H. F. Stereomatching using radiometric invariant measures. In KEPT 2011 International Conference Knowledge Engineering Principles and Techniques. Selected Papers (2011), Cluj University Press, Cluj-Napoca, Romania, pp. 369-378. ISSN: 2067-1180. (MathSciNet, ZMath).
[14] Gaceanu, R. D., and Pop, H. F. A fuzzy clustering algorithm for dynamic environments. In KEPT 2011 International Conference Knowledge Engineering Principles and Techniques. Selected Papers (2011), Cluj University Press, Cluj-Napoca, Romania, pp. 119-130. ISSN: 2067-1180. (MathSciNet, ZMath).
[15] Sabau, H., Tudorache, O., Pop, H. F., Georgescu, V., Strâmbu, V., Dimitriu, I., Nicolau, M. S., Cimpoesu, D., Borcea, H., and Brânzea, A. Joining the EuReCA - The Romanian Registry on Cardiac arrest - a year later. In Scientific Sympoisium of the European Resuscitation Council. Journal of Resuscitation, 82/2011 (Valetta, Malta, October 14-15 2011), J. Nolan, Ed., Elsevier Publishers, p. S19. (Scopus).

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