Florin Gorunescu - Facultatea de Matematică-Informatică ...

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• [8] Cochran, J.K., Bharti, A., 2006, A multi-stage stochastic methodology for whole hospital bed planning under peak loading, International Journal of Industrial and Systems Engineering, Vol. 1, No. 1-2, 8 – 36, (Google Scholar) • [7] Loeser, S.C., 2006, Modellierung und Prozessoptimierung der Organisationsstruktur, Medizin, Universität Marburg (http://archiv.ub.uni-marburg.de/diss/z2006/0427/)., (Google Scholar) • [6] Harrison, G.W., Shafer, A., Macky, M., 2005, Modelling variability in hospital bed occupancy , Health Care Management Science 8 (4), pp. 325-334 (Scopus, Google Scholar). • [5] Reiner, B.I., Salkever, D., Siegel, E.L., Hooper, F.J., Siddiqui, K.M., Musk, A., 2005,Multi-institutional analysis of computed and direct radiography. Part II. Economic analysis Radiology 236 (2), pp. 420-426, (Scopus) • [4] Fiems, D., Koole, G., Nain, P, 2005, Waiting times of scheduled patients in the presence of emergency requests (working paper, submitted; http://www.math.vu.nl/~koole/research/). • [3] Davis, KJ, Mirkin, B , 2004, Age and condition dependent treatment rate for analysis of base-line bed provision, Technical Report BBKCS-04-02, Birckbeck University of London, 1-19. (Google Scholar) • [2] Solberg, L.I., Asplin, B.R., Weinick, R.M., Magid, D.J., 2003, Emergency Department Crowding: Consensus Development of Potential Measures, Annals of Emergency Medicine 42 (6), pp. 824-834, (Scopus, Google Scholar). • [1] Millard P.H., 2002, Nosokinetics, Craiova Medicală, Vol. 3, No. 2, 91-96. • [6] Săftoiu, A., Ciurea, T., Ciurea, P., Baniţă, M., Comănescu, V., Gorunescu, F., Rogoveanu, I., Cazacu, S., 1999, Significance of vascular endothelial growth factor in gastric carcinoma, Romanian Journal of Gastroenterology, Vol. 8, No. 4, Dec. 1999, 239-244, ISSN 1221-4167 (Scopus, MEDLINE). • [5] Gorunescu, F., Gorunescu, M., Sterpu, M., 1994, Note on a test involving repeated trials for the hit or miss Monte Carlo integration, Analele Universităţii din Craiova, Seria Matematică-Informatică, vol. XXI, 42-50, ISSN 1223-6934.,( Zentralblatt MATH, STMAZ 1053.65502) • [4] Gorunescu, F., Gorunescu, M., Sterpu, M., 1993, Hit or miss Monte Carlo simulation for improper integrals, Analele Universităţii din Craiova, Seria Matematică-Informatică, vol. XX, 22–26, ISSN 1223-6934. (Zentralblatt MATH, STMAZ 1053.65503) • [3] Gorunescu, F., M. Gorunescu, M., 1990, Notes on integral equations with stochastic kernel, Analele Universităţii din Craiova, Seria Matematică-Informatică, Vol. XVIII, 71-75, ISSN 1223-6934. (Zentralblatt MATH, STMAZ 0845.45001) • [2] Gorunescu, M., Gorunescu, F., 1987, Ergodic theorems for a special class of operators, Studii şi Cercetări Matematice (Mathematical Reports), Tom. 39, No. 6, 515-519, ISSN 0039-4068 (Zentralblatt MATH). • [1] Gorunescu, F. , 1981, The method of the maximum-likelihood for dependent variables connected in a random system with complete connections, Revue Roumaine de Mathématiques Pures et Appliquées, Tome XXVI, No. 3, 417-420, ISSN 0035-3965 (Mathematical Revues, Zentralblatt MATH). citări: • S. Grigorescu, M. Iosifescu, Dependenţă cu legături complete şi aplicaţii, Editura Ştiinţifică şi Enciclopedică, 1982 - versiunea engleză: Dependence With Complete Connections and Its Applications -Cambridge Tracts in Mathematics, No. 96, 1990, Cambridge University Press, U.S.A. Lucrări in extenso publicate în volumele unor manifestări ştiinţifice internaţionale de tip Proceedings, cotate în baze de date internaţionale: • [12] Gorunescu, F., Săftoiu,A., Vilmann, P., 2009, Neural Networks – based dynamic medical diagnosis, Proceedings 4 • Gorunescu, F., Abdel Badeeh Salem, El-Sayed, El-Dashan, 2009, A machine th ACM International Conference on Intelligent Computing and Information Systems ICICIS09 (keynote speech) – March, 17-22, 2009, Cairo, Egypt, 30-35, ISBN: 977-237- 172-3/ISSN: 1687-1103 (catalog ACM). [11] Revett, K., learning approach to artefact extraction from independent components derived from EEG datasets, Proceedings 4 th ACM International Conference on Intelligent Computing and Information Systems ICICIS09, March, 17-22, 2009, Cairo, Egypt, 184-189,ISBN: 977-237-172-3/ISSN: 1687-1103 (catalog ACM). • [10] Gorunescu, F., 2007, Data Mining Techniques in Computer-Aided Medical Diagnosis -(1), Proceedings 3rd ACM International Conference on Intelligent Computing and Information Systems ICICIS07 (keynote speech) – March, 15-18, 2007, Cairo, Egypt, Police Press, 30-34, ISBN 977- 237-172-3 (catalog ACM). • [9] Revett, K., Gorunescu, F., Gorunescu, M., 2007, A Machine Learning Approach to Knowledge Discovery Analysis of a Heart Disease Dataset, Proceedings 3rd ACM International Conference on Intelligent Computing and Information Systems ICICIS07 - March, 15-18, 2007, Cairo, Egypt, Police Press, 79-82, ISBN 977-237-172-3 (catalog ACM). 10
• [8] Gorunescu, M., Gorunescu, F., Revett, K., 2007, Investigating a Breast Cancer Dataset Using a Combined Approach: Probabilistic Neural Networks and Rough Sets, Proceedings 3rd ACM International Conference on Intelligent Computing and Information Systems ICICIS07 - March, 15- 18, 2007, Cairo, Egypt, Police Press, 246-249, ISBN 977-237-172-3 (catalog ACM). • [7] Gorunescu, F., Gorunescu, M, Revett, K., Ene, M., 2007, A hybrid incremental/Monte Carlo searching technique for the "smoothing" parameter of Probabilistic Neural Networks, Proceedings International Conference on Knowledge Engineering, Principles and Techniques, KEPT2007, Cluj- Napoca (Romania), June 6–8, 2007, Cluj University Press, pp. 107-114.(Google Scholar) citari: • [3] Vasileios L. Georgiou, Philipos D. Alevizos and Michael N. Vrahatis, 2008, -Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities, Neural Processing Letters, 1370-4621 (Print) 1573-773X (Online) Volume 27, Number 2 / April, 2008, pp. 153-162 ( ISI). • [2] Georgiou, VL ., Malefaki,S., Parsopoulos KE., Extended Evolutionary Bayesian Probabilistic Neural Network Model. - lion.disi.unitn.it (google scholar) • [1] Georgiou, VL., Alevizos, PD ., Vrahatis, MN., - Fuzzy Evolutionary Probabilistic Neural Networks, Lecture Notes in Computer Science, Volume 5064/2008, Book Artificial Neural Networks in Pattern Recognition 2008 – Springer, ISSN 0302-9743 (Print), ISBN 978-3-540-69938-5, 113-124., (google scholar) • [6] Revett, K., Gorunescu, F., Gorunescu, M., 2007, Mining an Animal Toxin Database: Characterizing Protein Folds, Proceedings International Conference on Knowledge Engineering, Principles and Techniques, KEPT2007, Cluj-Napoca (Romania), June 6–8, 2007, Cluj University Press, pp. 130-138. (Google Scholar) • [5] Revett, K., Gorunescu, F. , Gorunescu, M., 2006, An Investigation into a Beta-Carotene/Retinol Dataset Using Rough Sets, Proceedings 17th European Conference on Machine Learning, ECML/PKDD - Workshop on practical Data Mining: Applications, Experiences & Challenges -SAS Deutschland- Berlin, pp. 75-78, (Google Scholar) citări: • Anil Kumar, D., Ravi, V ., 2008 - Predicting credit card customer churn in banks using data mining, International Journal of Data Analysis Techniques and and Strategies, - Inderscience , vol1, nr1, 4-21. • [4] Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhães, S., Santos, • H.M.D., 2006, Authenticating computer access based on keystroke dynamics using a probabilistic neural network, Proceedings International Conference on Global E-security, London, UK 20-22 April, 2006, DSI - Sistemas de Computação e Comunicações, Universidade do Minho, Portugal, 65- 71, ISBN 0-9550008-2-3, (Scirus, Google Scholar). [3] Gorunescu, F. , 2006, Benchmarking probabilistic neural network algorithms, Proceedings 6th International Conference on Artificial Intelligence and Digital Communications –AIDC’06, Thessaloniki, Greece, Research Notes in Artificial Intelligence and Digital Communications (Universitaria Publishing House), Craiova, 106, 1-7, ISBN 973-742-413-1. (Google Scholar) citări: • Rao, PVN., Uma, DT., Kaladhar, Sridhar, Gr., 2008, A probabilistic neural network approach for protein superfamily classification, Journal of Theoreticaland applied information technology, - jatit.org, 101-107 (Google Scholar) • [2] Gorunescu, M., Gorunescu, F., Ene, M., El-Darzi, E., 2005, A heuristic approach in hepatic cancer diagnosis using a pobabilistic neural network-based model, Proceedings 11th Applied Stochastic Models and Data Analysis –ASMDA 2005, Brest, France (Eds. Jacques Janssen and Philippe Lenca), 1016-1025, ISBN 2-908849-15-1, (Google Scholar). citări: • Vasileios L. Georgiou, Philipos D. Alevizos and Michael N. Vrahatis, 2008, Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities, Neural Processing Letters, 1370- 4621 (Print) 1573-773X (Online) Volume 27, Number 2 / April, 2008, pp. 153-162 (ISI). • K. Simon, Evolutionary techniques for data clustering, 2007, Teza de doctorat, Universitatea Babes-Bolyai, Cluj- Napoca • [1] Gorunescu, F., Gorunescu, M., El-Darzi, E., Gorunescu, S., Revett, K., Khan, A., 2005, A Cancer Diagnosis System Based on Rough Sets and Probabilistic Neural Networks, Proceedings 1st East European Conference on Health Care Modelling and Computation-HCMC2005, Craiova, Romania (Eds. F. Gorunescu, M. Gorunescu, E. El-Darzi), Medical University Press, Craiova, 149- 159, ISBN 973-7757-67-x.( Google Scholar). Lucrări in extenso publicate în reviste străine • [1] Gorunescu F., Gorunescu M., Gorunescu S., Săftoiu A., Vilmann P., 2008, Neural Computing: Application in Non-invasive Cancer Detection, Case Studies in Business, Industry and Government Statistics (CSBIGS) -USA”, Vol. 2, No. 1, pp 38-46. 11
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