Dr. Ruxandra Stoean
Papers and citations

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Published work (69)

    Books (3)

    2014 (1)
    International Publishing House (1)
  1. Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together?, Intelligent Systems Reference Library, Volume 69, 122 pages, ISBN: 978-3-319-06940-1, 2014, Catalin Stoean, Ruxandra Stoean.
    Table of Contents  Buy online

    Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together?, Springer, Catalin Stoean, Ruxandra Stoean
    2. Publishing houses indexed by the National University Research Council in Romania (CNCSIS) (2)
    2010 (1)
  2. Evolutie si inteligenta artificiala. Paradigme moderne si aplicatii, Albastra Publishing House - MicroInformatica Group, 166 pages, ISBN: 978-973-650-277-4, 2010, Ruxandra Stoean, Catalin Stoean.
    Table of Contents  Buy online

    		 Evolutie si inteligenta artificiala. Paradigme moderne si aplicatii, Editura Albastra - Grupul MicroInformatica, Ruxandra Stoean, Catalin Stoean
    3. 2008 (1)
  3. Support Vector Machines. An Evolutionary Resembling Approach, Research Center for Artificial Intelligence, Computer Science Series, Universitaria Publishing House, Craiova, 132 pages, ISBN: 978-606-510-161-6, 2008, Ruxandra Stoean.
    Table of Contents 
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    4. Book chapters (2)

    Studies in Computational Intelligence, SPRINGER (2)
    2009 (2)
  4. An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy, Foundations on Computational Intelligence, Aboul Ella Hassanien and Ajith Abraham (Eds.), Vol. 1, pp. 83-114, ISSN 1860-949X, 2009, Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu.
    Abstract  BibTeX entry 
  5. Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration, Intelligent Systems and Technologies - Methods and Applications, H. N. Teodorescu, Junzo Watada and L. Jain (Eds.), pp. 47-65, ISSN 1860-949X, 2009, Catalin Stoean, Ruxandra Stoean.
    Abstract  BibTeX entry 

    6. International journals (9)

    Journals in Thomson Reuters Science Citation Index Expanded (8)
    2012 (1)
  6. Modeling Medical Decision Making by Support Vector Machines, Explaining by Rules of Evolutionary Algorithms with Feature Selection, Expert Systems With Applications (ISI 2011 impact factor: 2.203), Elsevier, accepted, ISSN 0957-4174, 2012, Ruxandra Stoean, Catalin Stoean.
    Abstract  BibTeX entry 
    7. 2011 (2)
  7. Evolutionary-Driven Support Vector Machines for Determining the Degree of Liver Fibrosis in Chronic Hepatitis C, Artificial Intelligence in Medicine (ISI 2009 impact factor: 1.645), Elsevier, Vol. 51, Issue 1, pp. 53-65, 2011, Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea.
    paper cited by Florin Gorunescu, Florin Gorunescu et al, Salimi, Hashem, Mandal.
    Abstract  BibTeX entry  Paper
  8. Feature Selection for a Cooperative Coevolutionary Classifier in Liver Fibrosis Diagnosis, Computers in Biology and Medicine (ISI 2009 impact factor: 1.269), Elsevier, accepted for publication, 2011, Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea. paper cited by Florin Gorunescu, Florin Gorunescu et al.
    Abstract  BibTeX entry  Paper
    9. 2010 (1)
  9. Multimodal Optimization by means of a Topological Species Conservation Algorithm, IEEE Transactions on Evolutionary Computation (ISI 2009 Impact Factor: 4.589), IEEE Intelligence Computational Society, Vol. 14, Issue 6, pp. 842-864, ISSN 1089-778X, 2010, Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu.
    paper cited by Antonio Della Cioppa, Angelo Marcelli, Prisco Napoli, Liang, Wong, Qu, Suganthan and Liang, Qu, Suganthan and Das, Chen.
    Abstract  BibTeX entry  Paper  TSC2 code
    10. 2009 (1)
  10. Support Vector Machine Learning with an Evolutionary Engine, Journal of the Operational Research Society (ISI indexed, 2008 Impact Factor: 0.839), Palgrave Macmillan, Vol. 60, Issue 8 (August 2009), Special Issue: Data Mining and Operational Research: Techniques and Applications, Kweku-Muata Osei-Bryson and Vic J Rayward-Smith (Guest Editors), pp. 1116-1122, ISSN 0160-5682, 2009, Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu.
    Article cited by Kramer and Gieseke, Huang, S. Lessmann, M. Caserta, I. M. Arango, M. Chatterjee, S. K. Majumdar and Oliver Kramer.
    Abstract  BibTeX entry  Paper
    11. 2006 (2)
  11. Evolutionary Multi-class Support Vector Machines for Classification, International Journal of Computers, Communications & Control, Supplementary Issue, International Conference on Computers and Communications - ICCC 2006, Baile Felix Spa - Oradea, Romania, 2006, pp. 423 – 428, ISSN 1841-9836, Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu.
    Article cited by L. State, D. Morariu
    Abstract;  BibTeX entry
  12. A Cooperative Evolutionary Algorithm for Classification, International Journal of Computers, Communications & Control, Supplementary Issue, International Conference on Computers and Communications - ICCC 2006, Baile Felix Spa - Oradea, Romania, 2006, pp. 417-422, ISSN 1841-9836, Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
    Journals indexed by Thomson Reuters (1)
  13. Forecasting Soybean Diseases from Symptoms by Means of Evolutionary Support Vector Machines, Phytologia Balcanica (ISI indexed), Vol. 12, No. 3, pp. 345 - 350, Sofia, Bulgaria, ISSN 1310-7771, 2006, Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
    14. 2006 (1)
    Journals indexed by ZENTRALBLATT (1)
    2006 (1)
  14. A metaheuristic GAs method as a decision support for the choice of cancer treatment, Siberian Journal of Numerical Mathematica (Siberian Branch of the Russian Academy of Science - Novosibirsk), Vol. 7, No. 4, pp. 301-307, 2004, F. Gorunescu, M. Gorunescu, Ruxandra Gorunescu.
    Abstract;  BibTeX entry
    15. Journals indexed by INSPEC (IEE) (1)
    2008 (1)
  15. Evolutionary Placement Decisions of a Multidisciplinary Panel using Genetic Chromodynamics, Journal of Enterprise Information Management (INSPEC indexed), Vol. 21, No. 1, pp. 93-104, ISSN 1741-0398, 2008, Ruxandra Gorunescu, P.H. Millard, D. Dumitrescu.
    Abstract;  BibTeX entry

    16. National journals (10)

    Journals indexed by ZENTRALBLATT and MATHEMATICAL REVIEWS (6)
    2010 (1)
  16. Evolutionary Conditional Rules versus Support Vector Machines Weighted Formulas for Liver Fibrosis Degree Prediction, Annals of the University of Craiova, Mathematics and Computer Science Series, (ISI monitored), Vol. 37, Issue 1, pp. 43-54, 2010, Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, and Radu Badea.
    Abstract  BibTeX entry  Paper
    17. 2009 (2)
  17. Evolutionary Species Separation by a Clustering Mean for Multimodal Optimization, Annals of the University of Craiova, Mathematics and Computer Science Series, Vol. XXXVI, No. 2, Special Issue International Conference on Artificial Intelligence and Digital Communications, AIDC 2009, pp. 53-62, ISSN 1223-6934, Catalin Stoean, Mike Preuss, Ruxandra Stoean.
    Abstract;  BibTeX entry
  18. An Evolutionary Topological Elitist Mechanism to Pre-inspect Multimodal Landscapes of Optimization Problems, Memoirs of the Scientific Sections of the Romanian Academy, submitted, 2009, Catalin Stoean, Ruxandra Stoean.
    19. 2006 (2)
  19. Linear Evolutionary Support Vector Machines for Separable Training Data, Annals of the University of Craiova, Mathematics and Computer Science Series, Volume 33, 2006, pp. 141-146, ISSN 1223-6934, Ruxandra Stoean, D. Dumitrescu.
    Abstract;  BibTeX entry
  20. Nonlinear Evolutionary Support Vector Machines. Application to Classification, Studia Babes-Bolyai, Seria Informatica, Vol. LI, No. 1, pp. 3-12, 2006, Ruxandra Stoean, D. Dumitrescu, Catalin Stoean.
    Abstract;  BibTeX entry
    21. 2004 (1)
  21. An Evolutionary Learning Classifier System Applied to Text Categorization, Annals of West University of Timisoara, Mathematics and Computer Science Series, vol. XLII, special issue 1, 2004, pp. 265-278, Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, D. Dumitrescu.
    Paper cited by D. Dumitrescu, C. Stoean
    Abstract;  BibTeX entry
    22. Journals indexed by CNCSIS - National Council for University Research (8)
    2009 (1)
    Evolutionary Species Separation by a Clustering Mean for Multimodal Optimization, Annals of the University of Craiova, Mathematics and Computer Science Series, Vol. XXXVI, No. 2, Special Issue International Conference on Artificial Intelligence and Digital Communications, AIDC 2009, pp. 53-62, ISSN 1223-6934, Catalin Stoean, Mike Preuss, Ruxandra Stoean.
    2007 (1)
  22. Evolutionary Detection of Separating Hyperplanes in E-mail Classification, Acta Cibiniensis, Vol. LV Technical series, University "Lucian Blaga" Sibiu Press, ISSN 1583-7149, pp. 41-46, 2007, Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
    23. 2006 (2)
    Linear Evolutionary Support Vector Machines for Separable Training Data, Annals of the University of Craiova, Mathematics and Computer Science Series, Volume 33, 2006, pp. 141-146, ISSN 1223-6934, Ruxandra Stoean, D. Dumitrescu.
    Nonlinear Evolutionary Support Vector Machines. Application to Classification, Studia Babes-Bolyai, Seria Informatica, Vol. LI, No. 1, pp. 3-12, 2006, Ruxandra Stoean, D. Dumitrescu, Catalin Stoean.
    2005 (1)
  23. Evolutionary Linear Separating Hyperplanes within Support Vector Machines, Scientific Bulletin, University of Pitesti, Mathematics and Computer Science Series, Issue 11, pp. 75-84, 2005, Ruxandra Stoean, D. Dumitrescu.
    Abstract;  BibTeX entry
    24. 2004 (2)
  24. Evolutionary clustering using adaptive prototypes, Studia Univ. Babes - Bolyai, Informatica, Volume XL IX, Number 1, pp. 15 - 20, 2004, D. Dumitrescu, Ruxandra Gorunescu.
    Abstract;  BibTeX entry
    25. An Evolutionary Learning Classifier System Applied to Text Categorization, Annals of West University of Timisoara, Mathematics and Computer Science Series, vol. XLII, special issue 1, 2004, pp. 265-278, Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, D. Dumitrescu.
    2003 (1)
  25. Evolutionary clustering using an incremental technique, Studia Univ. Babes - Bolyai, Informatica, Volume XL VIII, Number 2, pp. 25 - 33, 2003, Ruxandra Gorunescu, D. Dumitrescu.
    Paper cited by H. Ye, Z. Ni and by E. Chen, F. Wang
    Abstract;  BibTeX entry

    26. International conferences (33)

    Conferences with proceedings in Lecture Notes, SPRINGER (1)
    2008 (1)
  26. EA-Powered Basin Number Estimation by Means of Preservation and Exploration, 10th International Conference on Parallel Problem Solving from Nature – PPSN X, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, vol. 5199, pp. 569-578, 2008, ISBN 978-3-540-87699-1, Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu.
    Abstract;  BibTeX entry;  Paper
    Conferences indexed by IEEE (7)
    2008 (1)
  27. Investigating Landscape Topology for Subpopulation Differentiation in Multimodal Evolutionary Algorithms. Study on Crowding Genetic Chromodynamics, IEEE Postproceedings, 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing - SYNASC 2008, IEEE Press, pp. 551-554, 2008, Ruxandra Stoean, Catalin Stoean, D. Dumitrescu.
    2007 (1)
  28. Concerning the Potential of Evolutionary Support Vector Machines, The IEEE Congress on Evolutionary Computation - CEC 2007 (ISI proceedings), Singapore, pp. 1436 - 1443, 2007, Ruxandra Stoean, Mike Preuss, Catalin Stoean, D. Dumitrescu.
    Paper cited by Oliver Kramer, Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuß, and Oliver Kramer, Tobias Hein.
    Abstract;  BibTeX entry;  Paper
    2006 (4)
  29. Evolutionary Support Vector Machines for Diabetes Mellitus Diagnosis, IEEE IS 2006, Westminster, London, pp. 182-187, ISBN 1-4244-0196-8, 2006, Ruxandra Stoean, Catalin Stoean, Mike Preuss, Elia El-Darzi, D. Dumitrescu.
    Paper cited by E. Gürbüz, E. Kiliç, Oliver Kramer and Vanessa Terezinha Ales.
    Abstract;  BibTeX entry
  30. Evolutionary Support Vector Machines for Spam Filtering, RoEduNet IEEE International Conference, Sibiu, Romania, 2006, pp. 261-266, Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
  31. Evolutionary Support Vector Regression Machines, IEEE Post-proceedings SYNASC 2006, IEEE Press, Lisa O'Conner (Ed.), Los Alamitos, CA, USA, pp. 330-335, ISBN 0-7695-2740-X, 2006, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Catalin Stoean.
    Paper cited by X. Yin, G. Yin, X. Hu, X. Zhao, Oliver Kramer, Giovanni Montana, Francesco Parrella, Oliver Kramer, Tobias Hein, Lu Feng, Huang Jinquan, Oliver Kramer, and Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuß
    Abstract;  BibTeX entry
  32. Cooperative Evolution of Rules for Classification, IEEE Post-proceedings SYNASC 2006, IEEE Press, Lisa O'Conner (Ed.), Los Alamitos, CA, USA, pp. 317-322, ISBN 0-7695-2740-X, 2006, Catalin Stoean, Mike Preuss, D. Dumitrescu, Ruxandra Stoean.
    Paper cited by Florin Gorunescu
    Abstract;  BibTeX entry
    2005 (1)
  33. Elitist Generational Genetic Chromodynamics - a New Radii-Based Evolutionary Algorithm for Multimodal Optimization, The 2005 IEEE Congress on Evolutionary Computation - CEC 2005 (ISI proceedings), Edinburgh, UK, September 2-5, 2005, pp. 1839 - 1846, ISBN 0-7803-9363-5, Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D. Dumitrescu.
    Paper cited by A. Davtyan, S. Hoffmann, R. Scheuring, Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan - CEC, Florin Gorunescu, Ofer M. Shir, Michael Emmerich, Thomas Bäck, Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan, Jani Rönkkönen, Rui Li , Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber, Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuß, Mike Preuss, Thomas Bartz-Beielstein and Dan Dumitrescu.
    Abstract;  BibTeX entry;  Paper
    Conferences indexed by ACM (4)
    2013 (1)
  34. EA-based Parameter Tuning of Multimodal Optimization Performance by Means of Different Surrogate Models, The ACM Genetic and Evolutionary Computation Conference (GECCO-2013), Amsterdam, The Netherlands, GECCO-UP workshop, pp. 1063-1070, 2013, Catalin Stoean, Mike Preuss, Ruxandra Stoean.
    Abstract  BibTeX entry  Paper
    2011 (1)
  35. Niching Foundations: Basin Identification on Fixed-Property Generated Landscapes, The ACM Genetic and Evolutionary Computation Conference (GECCO-2011) (ISI proceedings), Dublin, Ireland, pp. 837-844, 2011, Mike Preuss, Catalin Stoean, Ruxandra Stoean.
    Abstract  BibTeX entry  Paper
    2007 (2)
  36. Disburdening the Species Conservation Evolutionary Algorithm of Arguing with Radii, The ACM Genetic and Evolutionary Computation Conference - GECCO 2007 (ISI proceedings), London, UK, pp. 1420 - 1427, 2007, Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu.
    Paper cited by Qu, Florin Gorunescu, Li Jian-Ping, F. Campean, A. Wood, Mike Preuss, Ofer M. Shir, Michael Emmerich, Thomas Bäck, J.P. Li, A.S. Wood and Jian-Ping Li, Xiao-Dong Li, Alastair Wood.
    Abstract;  BibTeX entry;  Paper
  37. Breast Cancer Diagnosis by Means of Cooperative Coevolution, Proceedings of the Third ACM International Conference on Intelligent Computing and Information Systems (ICICIS 2007), Police Press, Cairo, pp. 493-497, ISBN 977-237-172-3, 2007, Catalin Stoean, Ruxandra Stoean, Elia El-Darzi.
    Abstract;  BibTeX entry
    ISI proceedings (of the conferences above) (9)
    2008 (2)
    EA-Powered Basin Number Estimation by Means of Preservation and Exploration, Parallel Problem Solving from Nature – PPSN X, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, vol. 5199, pp 569-578, 2008, ISBN 978-3-540-87699-1, Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu.
    Investigating Landscape Topology for Subpopulation Differentiation in Multimodal Evolutionary Algorithms. Study on Crowding Genetic Chromodynamics, IEEE Postproceedings, 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing - SYNASC 2008, IEEE Press, pp. 551-554, 2008, Ruxandra Stoean, Catalin Stoean, D. Dumitrescu.
    2007 (2)
    Concerning the Potential of Evolutionary Support Vector Machines, The IEEE Congress on Evolutionary Computation - CEC 2007 (ISI proceedings), Singapore, pp. 1436 - 1443, 2007, Ruxandra Stoean, Mike Preuss, Catalin Stoean, D. Dumitrescu.
    Disburdening the Species Conservation Evolutionary Algorithm of Arguing with Radii, The ACM Genetic and Evolutionary Computation Conference - GECCO 2007 (ISI proceedings), London, UK, pp. 1420 - 1427, 2007, Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu.
    2006 (4)
    Evolutionary Support Vector Regression Machines, IEEE Post-proceedings SYNASC 2006, IEEE Press, Lisa O'Conner (Ed.), Los Alamitos, CA, USA, pp. 330-335, ISBN 0-7695-2740-X, 2006, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Catalin Stoean.
    Cooperative Evolution of Rules for Classification, IEEE Post-proceedings SYNASC 2006, IEEE Press, Lisa O'Conner (Ed.), Los Alamitos, CA, USA, pp. 317-322, ISBN 0-7695-2740-X, 2006, Catalin Stoean, Mike Preuss, D. Dumitrescu, Ruxandra Stoean.
    Evolutionary Support Vector Machines for Diabetes Mellitus Diagnosis, IEEE IS 2006, Westminster, London, pp. 182-187, ISBN 1-4244-0196-8, 2006, Ruxandra Stoean, Catalin Stoean, Mike Preuss, Elia El-Darzi, D. Dumitrescu.
    Evolutionary Support Vector Machines for Spam Filtering, RoEduNet IEEE International Conference, Sibiu, Romania, 2006, pp. 261-266, Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu.
    2005 (1)
    Elitist Generational Genetic Chromodynamics - a New Radii-Based Evolutionary Algorithm for Multimodal Optimization, The 2005 IEEE Congress on Evolutionary Computation - CEC 2005 (ISI proceedings), Edinburgh, UK, September 2-5, 2005, pp. 1839 - 1846, ISBN 0-7803-9363-5, Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D. Dumitrescu.

    Print screen papers ISI Web of Science 2008
    1  2  3
    Other international conferences with reviewers (25)
    2014 (1)
  38. Investigation of Alternative Evolutionary Prototype Generation in Medical Classification,, 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 11th Workshop on Natural Computing and Applications, September 22 – 25, 2014, Timisoara, Romania, accepted for publication, Catalin Stoean, Ruxandra Stoean, Adrian Sandita.
    Abstract 
    2010 (1)
  39. Multimodal Optimization: Comparative Analysis of Niching Evolutionary Algorithms over Property-Based Generated Functions, Proceedings ECIT 2010 - 6th European Conference on Intelligent Systems and Technologies Iasi, Romania, 2010, Catalin Stoean, Mike Preuss, Ruxandra Stoean..
    Abstract 
    2008 (4)
  40. Shifting from Radius-Centered Separation to Local Landscape Topology-Based Partition into Subpopulations within Crowding Genetic Chromodynamics, 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing - SYNASC 2008, 2008 Ruxandra Stoean, Catalin Stoean, D. Dumitrescu.
    Abstract 
  41. Approximating the Number of Attraction Basins of a Function by Means of Clustering and Evolutionary Algorithms, Proceedings of the 8th International Conference on Artificial Intelligence and Digital Communications - AIDC 2008, pp. 171-180, 2008, Ruxandra Stoean, Mike Preuss, Catalin Stoean.
    Abstract;  BibTeX entry
  42. An Improved Cooperative Coevolutionary Classification Method with an Archiving Strategy, Proceedings of the 5th European Conference on Intelligent Systems and Technologies (ECIT 2008), Iasi, Romania 2008, Catalin Stoean, Ruxandra Stoean.
    Abstract 
  43. A Coevolutionary Framework for Hepatic Cancer Early Diagnosis, The Second International Health and Social Care Modelling Conference (HSCM 2008), abstract proceedings, Portrush, Northern Ireland, 2008, Ruxandra Stoean, Catalin Stoean.
    Abstract 
    2007 (4)
  44. Competitive Coevolution for Classification , Proceedings of the 7th International Conference on Artificial Intelligence and Digital Communications - AIDC 2007, pp. 28-39, 2007, Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
  45. Genetic Chromodynamics for the Job Shop Scheduling Problem, International Conference Knowledge Engineering Principles and Techniques (KEPT 2007), Studia Univ. Babes - Bolyai, Informatica, Special Issue, pp. 153-160, 2007, D. Dumitrescu, Catalin Stoean, Ruxandra Stoean.
    Abstract;  BibTeX entry
  46. Breast Cancer Diagnosis by Means of Cooperative Coevolution (2), Proceedings First International Conference on Medical Informatics (ICMI2007), Misr University for Science & Technology, March 19th, Cairo, Egypt, pp. 19-24, 2007, Catalin Stoean, Ruxandra Stoean, Elia El-Darzi.
  47. Breast Cancer Diagnosis by Means of Cooperative Coevolution (3), Proceedings Workshop "Medical Informatics (in frame of Third ACM International Conference on Intelligent Computing and Information Systems (ICICIS2007), pp. 33-38, 2007, Catalin Stoean, Ruxandra Stoean, Elia El-Darzi.
    2006 (8)
  48. Different Techniques of Multi-class Evolutionary Support Vector Machines, Bio-Inspired Computing: Theory and Applications, BIC-TA 2006, China, D. Dumitrescu, Linqing Pan (Eds.), pp. 299 - 306, 2006, Ruxandra Stoean, D. Dumitrescu, Mike Preuss, Catalin Stoean.
    Abstract;  BibTeX entry
  49. ε - Evolutionary Support Vector Regression, Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2006, pp. 21-27, 2006, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Catalin Stoean.
    Abstract;  BibTeX entry
  50. An Evolutionary Support Vector Machines Approach to Regression, 6th International Conference on Artificial Intelligence and Digital Communications - AIDC 2006, Thessaloniki, GreeceResearch Notes in Artificial Intelligence and Data Communications, N. Tandareanu (Ed.), Reprograph Press, pp. 54-61, ISBN 973-742-413-1, 2006, Ruxandra Stoean.
    Abstract;  BibTeX entry
  51. Cooperative Coevolution for Classification, Bio-Inspired Computing: Theory and Applications, BIC-TA 2006, China, D. Dumitrescu, Linqing Pan (Eds.), pp. 289 - 298, 2006, Catalin Stoean, D. Dumitrescu, Mike Preuss, Ruxandra Stoean.
    Paper cited by Z. Wang, M. Li and C. Stoean
    Abstract;  BibTeX entry
  52. A Cooperative Coevolutionary Algorithm for Multi-class Classification, Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2006, pp. 7-14, 2006, Catalin Stoean, Mike Preuss, D. Dumitrescu, Ruxandra Stoean.
    Abstract;  BibTeX entry
  53. Spam Filtering by Means of Cooperative Coevolution, 4th European Conference on Intelligent Systems and Technologies, ECIT 2006, Iasi, Romania, Advances in Intelligent Systems and Technologies – Selected Papers, H. N. Teodorescu (Ed.), Performantica Press, pp. 157-159, ISBN 973-730-246-X, Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
    2005 (2)
  54. A New Evolutionary Model for the Optimization of Multimodal Functions, The Anniversary Symposium Celebrating 25 Years of the Seminar "Grigore Moisil" and 15 Years of the Romanian Society for Fuzzy Systems and A.I., International participation and committee, May 5-7, 2005, Iasi, Romania, Intelligent Systems, Selected Papers, H. N. Teodorescu, J. Watada, J. Gil Aluja, M. Mihaila (Eds.), Performantica Press, pp. 65 - 72, ISBN 973-730-070-X, 2005, Catalin Stoean, Ruxandra Gorunescu, D. Dumitrescu.
    Abstract;  BibTeX entry
  55. Diabetes Diagnosis through the Means of a Multimodal Evolutionary Algorithm, Proceedings of the First East European Conference on Health Care Modelling and Computation - HCMC 2005, Craiova, Romania, August 31st - September 2nd 2005, Vol. 2, pp. 277-289, ISBN 973-7757-67-X, Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu.
    Paper cited by L. Peng, T. Li, X. Liu, Y. Chen, C. Liu, S. Liu and C. Stoean, D. Dumitrescu
    Abstract;  BibTeX entry
    2004 (5)
  56. An Evolutionary Model of a Multidisciplinary Review Panel for Admission to Long-termCare, ICCC 2004 (International Conference on Computers and Communications), Bãile Felix Spa - Oradea, Romania, p. 181-185, 2004, ISBN 973-613-542-X, Ruxandra Gorunescu, P. H. Millard.
    Abstract;  BibTeX entry
  57. An Evolutionary Approach to Fuzzy Clustering, 4th International Conference on Artificial Intelligence and Digital Communications, Craiova, Romania, 2004, Research Notes in Artificial Intelligence and Digital Comunications, p. 267-274, 2004, ISBN 973-671-014-9, Ruxandra Gorunescu, D. Dumitrescu.
    Abstract;  BibTeX entry
  58. An Evolutionary Learning Spam Filter System, SYNASC 2004, Timisoara, Romania, Symbolic and Numeric Algorithms for Scientific Computing, p. 512-522, 26-31 September 2004, ISBN 973-661-441-7, C. Stoean, R. Gorunescu, M. Preuss, D. Dumitrescu.
    Paper cited by C. Stoean, D. Dumitrescu
    Abstract;  BibTeX entry
  59. Evolutionary Detection of Rules for Text Categorization. Application to Spam Filtering, Third European Conference on Intelligent Systems and Technologies-ECIT'2004, July 21-23, 2004, Iasi, Romania, Inteligent Systems, Selected papers, H. N. Teodorescu (Ed.), Performantica Press, pp. 87-95, ISBN 973-7994-85-X, Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
  60. Evolutionary Discovery of Adaptive Rules for Spam Detection, ICAM4, Fourth International Conference on Applied Mathematics, North University of Baia Mare, Romania, Abstract Proceedings, p. 34, 23-26 September 2004, Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, D. Dumitrescu.
    Abstract;  BibTeX entry
    2003 (2)
  61. Evolutionary Incremental Clustering. A New Technique for Detecting Natural Grouping, 3rd International Conference on Artificial Intelligence and Digital Communications, Craiova, Romania, June 2003, Research Notes in Artificial Intelligence and Data Communications, N. Tandareanu (Ed.), Reprograph Press, pp. 73 - 81, 3, 2003, Ruxandra Gorunescu.
    Abstract;  BibTeX entry
  62. Adaptive prototypes in evolutionary clustering, 3rd International Conference on Artificial Intelligence and Digital Communications, Craiova, Romania, June 2003, Research Notes in Artificial Intelligence and Data Communications, N. Tandareanu (Ed.), Reprograph Press, pp. 48 - 55, 2003, D. Dumitrescu, Ruxandra Gorunescu.
    Abstract;  BibTeX entry

    National conferences (2)

    National conferences with reviewers (2)
    2005 (1)
  63. Evolutionary Support Vector Machines - a New Learning Paradigm. The Linear Nonseparable Case, Proceedings of the “Colocviul Academic Clujean de Informatica”, Babes-Bolyai University of Cluj-Napoca, Faculty of Mathematics and Computer Science, pp. 15-20, 2005, Ruxandra Stoean, D. Dumitrescu.
    Abstract;  BibTeX entry
    2004 (1)
  64. Evolutionary Adaptive Fuzzy Clustering, Proceedings of the “Zilele Academice Clujene” Symposium, May 25, 2004, Babes-Bolyai University of Cluj-Napoca, pp. 61-66, 2004, D. Dumitrescu, Ruxandra Gorunescu.
    Abstract;  BibTeX entry

    Technical reports (5)

    International reports (4)
    2009 (2)
  65. A Support Vector Machine-Inspired Evolutionary Approach for Parameter Setting in Metaheuristics, CIOP Reports. Technical reports from the Computational Intelligence, Optimization, and Data mining research group, Thomas Bartz-Beielstein and Wolfgang Konen (Eds.), Cologne University of Applied Sciences, TR01/09, 2009, Ruxandra Stoean, Thomas Bartz-Beielstein, Mike Preuss, Catalin Stoean.
    Link;  Paper;  Abstract;  BibTeX entry
  66. A New Clustering-Based EA for Real-Valued Multimodal Optimization, Technical Reports Series, Chair of Algorithm Engineering, Technische Universität Dortmund, Germany, TR09-2-007, 2009, Catalin Stoean, Mike Preuss, Thomas Bartz-Beielstein, Ruxandra Stoean.
    Report cited by Jorg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer
    Paper;  Abstract;  BibTeX entry
    67. 2008 (1)
  67. Coevolution for Classification, Technical Report Nr. CI-239/08, Collaborative Research Center on Computational Intelligence, University of Dortmund, 2008, Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu.
    Link;  Paper;  Abstract;  BibTeX entry
    2006 (1)
  68. Evolutionary Support Vector Machines and their Application for Classification, Technical Report Nr. CI-212/06, Collaborative Research Center on Computational Intelligence, University of Dortmund, 2006. Ruxandra Stoean, Mike Preuss, Catalin Stoean, D. Dumitrescu.
    Paper;  Abstract;  BibTeX entry
    National reports (1)
    2005 (1)
  69. Evolutionary Support Vector Machines – a New Hybridized Learning Technique. Application to Classification, Technical Report, Department of Computer Science, Faculty of Mathematics and Computer Science, Babes- Bolyai University, 2005, Ruxandra Stoean, D. Dumitrescu.
    Link;  Paper;  Abstract;  BibTeX entry

Works that cite personal articles (53)

  1. Kramer, O., Gieseke, F., Evolutionary kernel density regression, Expert Systems with Applications, volume 39, issue 10, year 2012, pp. 9246 - 9254. cited paper JORS 2008.
  2. Huang, K. Y., A heuristic approach to classifying labeled/unlabeled data sets, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 63 (9):1248-1257; 10.1057/jors.2011.103 SEP 2012. cited paper JORS 2008.
    Qu, B. Y., Suganthan, P. N., Liang, J. J., Differential Evolution with Neighborhood Mutation for Multimodal Optimization, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2011.2161873. cited paper GECCO 2007.
  3. Qu, B.Y., Liang, J.J., Suganthan, P.N., Niching particle swarm optimization with local search for multi-modal optimization, Information Sciences, volume 197, year 2012, pp. 131 - 143. cited paper TEC 2009.
  4. Wong, K.-C., Wu, C.-H., Mok, R.K.P., Peng, C., Zhang, Z., Evolutionary multimodal optimization using the principle of locality, Information Sciences, volume 194, year 2012, pp. 138 - 170 cited paper TEC 2009.
  5. Qu, B. Y., Suganthan, P. N., Liang, J. J., Differential Evolution with Neighborhood Mutation for Multimodal Optimization, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2011.2161873. cited paper TEC 2009.
  6. B-Y Qu, P. N. Suganthan, S. Das, A Distance-Based Locally Informed Particle Swarm Model for Multi-modal Optimization, IEEE Transaction on Evolutionary Computation, DOI: 10.1109/TEVC.2012.2203138. cited paper TEC 2009.
  7. Ming-Liang Chen, Fuzzy optimization for a batch simultaneous saccharification and co-fermentation process by hybrid differential evolution, Congress on Evolutionary Computation (CEC 2012), 1-8. cited paper TEC 2009.
  8. Javad Salimi Sartakhti, Mohammad Hossein Zangooei, Kourosh Mozafari, Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA), Computer Methods and Programs in Biomedicine, Available online 2 October 2011. cited paper AIIM.
  9. Ahmed M. Hashem, M. Emad M. Rasmy, Khaled M. Wahba, Olfat G. Shaker, Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection, Computer Methods and Programs in Biomedicine, Volume 105, Issue 3, March 2012, Pages 194-209. cited paper AIIM.
  10. Gorunescu, F., Belciug, S., Gorunescu, M., Badea, R., Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network, Expert Systems with Applications, volume 39, issue 17, year 2012, pp. 12824 - 12832. cited paper AIIM.
  11. Mandal, Indrajit; Sairam, N., Accurate Prediction of Coronary Artery Disease Using Reliable Diagnosis System, JOURNAL OF MEDICAL SYSTEMS, 36 (5):3353-3373. cited paper AIIM.
  12. A. Davtyan, S. Hoffmann, R. Scheuring, Optimization of model predictive control by means of sequential parameter optimization, IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011, IEEE Symposium on Computational Intelligence in Control and Automation, pp. 11-16, 2011. cited paper CEC 2005.
  13. E. Gürbüz, E. Kiliç, Diagnosis of diabetes by using adaptive SVM, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 , pp. 46-49, 2011. cited paper IEEE IS 2006.
  14. X. Yin, G. Yin, X. Hu, X. Zhao, Positioning accuracy of robot vision system based on support vector machine regression, Jixie Gongcheng Xuebao/Journal of Mechanical Engineering Vol. 47, No. 1, pp. 48-54, 2011. cited paper SYNASC 2006.
  15. M. Chatterjee, S. K. Majumdar, Relevance vector machine-based defect modelling and optimisation - An application, International Journal of Operational Research, Vol. 12, No. 1, pp. 56-78, 2011. cited paper JORS 2008.
    S. Lessmann, M. Caserta, I. M. Arango, Tuning metaheuristics: A data mining based approach for particle swarm optimization, Expert Systems with Applications, Vol. 38, No. 10, pp. 12826-12838, 2011. cited paper JORS 2008.
  16. Antonio Della Cioppa, Angelo Marcelli, Prisco Napoli, Speciation in evolutionary algorithms: adaptive species discovery, Proceedings of the 13th ACM annual conference on Genetic and Evolutionary Computation (GECCO 2011), pp. 1053-1060, 2011. cited paper TEC 2009.
  17. D. Morariu, R. Cretulescu, L. Vintan, Improving a SVM Meta-classifier for Text Documents by using Naive Bayes, International Journal Of Computers Communications & Control, Vol. 5, No. 3, pp. 351-361, 2010. lucrare citata ICCC 2006.
  18. L. State, I. Paraschiv-Muntean, A New Linear Classi?er Based on Combining Supervised and Unsupervised Techniques, Int. J. of Computers, Communications & Control, Vol. 6, No. 1, pp. 175-186, 2011. lucrare citata ICCC 2006.
  19. Li Jian-Ping, F. Campean, A. Wood, Reliability-inspired species conservation for multimodal functions, 2010 UK Workshop on Computational Intelligence (UKCI), pp. 1-6, 2010. lucrare citata GECCO 2007.
  20. Florin Gorunescu, Data Mining: Concepts, Models and Techniques, Springer Verlag, 2011. lucrari citate - CEC 2005, SYNASC 2006, GECCO 2007, AIIM.
  21. Ofer M. Shir, Michael Emmerich, Thomas Bäck, Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES, Evolutionary Computation, Volume 18, Number 1, pp. 97-126, 2010. lucrari citate - CEC 2005, GECCO 2007.
  22. Mike Preuss, Niching the CMA-ES via nearest-better clustering, Genetic And Evolutionary Computation Conference, GECCO 2010, pp. 1711-1718, 2010. lucrare citata - GECCO 2007.
  23. Oliver Kramer, Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines, Fundamenta Informaticae, IOS Press, Volume 98, Number 1/2010, pp. 87-106, 2010. lucrari citate - SYNASC 2006, IEEE IS 2006 si CEC 2007.
  24. Jian-Ping Li, Xiao-Dong Li and Alastair Wood, Species Based Evolutionary Algorithms for Multimodal Optimization: A Brief Review, WCCI 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, pp. 4156-4163, 2010. lucrare citata - GECCO 2007.
  25. Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan and Michael Tamutan, Comparing CI Methods for Prediction Models in Environmental Engineering, CiteSeerX - Scientific Literature Digital Library and Search Engine, US, 2010. lucrare citata - CEC 2005.
  26. Jorg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, and Martin Zaefferer, Optimization of Biogas Production with Computational Intelligence A Comparative Study, CiteSeerX - Scientific Literature Digital Library and Search Engine, US, 2010. lucrare citata - Tech. Rep. Dortmund 2009.
  27. Lu Feng, Huang Jinquan, Fluid Mechanics, Flight Mechanics and Engine, Acta Aeronautica et Astronautica Sinica, Volume 30, Number 10, pp. 1795-1800, 2009. lucrare citata - SYNASC 2006.
  28. Jian-Ping Li, Alastair S. Wood, Species-conserving particle swarm optimisation for multimodal functions, International Journal of Modelling, Identification and Control, Volume 8, Number 4/2009, pp. 290 - 300, 2009. cited paper - GECCO 2007
  29. Jani Rönkkönen, Continuous Multimodal Global Optimization with Differential Evolution-Based Methods, PhD Dissertation, Lappeenranta University of Technology, 2009. cited paper - CEC 2005
  30. Oliver Kramer, Tobias Hein, Stochastic Feature Selection in Support Vector Machine Based Instrument Recognition, KI 2009: Advances in Artificial Intelligence, Lecture Notes in Computer Science, Vol. 5803, Heidelberg, pp. 727-734, ISBN 978-3-642-04616-2, 2009. cited papers - SYNASC 2006 si CEC 2007
  31. Giovanni Montana, Francesco Parrella, Data Mining for Algorithmic Asset Management, Book chapter in Data Mining for Business Applications, Part II, Springer US, pp. 283-295, ISBN 978-0-387-79419-8, 2009. cited paper - SYNASC 2006
  32. Oliver Kramer, Evolutionary Unsupervised Kernel Regression, ENBIS-EMSE, Design and Analysis of Computer Experiments, 2009. cited paper - SYNASC 2006
  33. Lu Feng, Jin-Quan Huang, Aero-engine based on genetic algorithm model of support vector machines Airborne correction method (traducere automata din chineza), Aerospace Power, No. 4, 2009. cited paper - SYNASC 2006
  34. Vanessa Terezinha Ales, Algoritmo Sequential Minimal Optimisation para Resolucao do problema de support vector machine: uma tecnica para reconhecimento de padroes (in spaniola), PhD Dissertation, Universidade Federal do Paraná, 2009. cited paper - IEEE IS 2006
  35. Rui Li , Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber, Mixed-Integer Evolution Strategies with Dynamic Niching, 10th International Conference on Parallel Problem Solving from Nature – PPSN X, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, vol. 5199, pp. 246-255, 2008. cited paper - CEC 2005
  36. Catalin Stoean, Evolutionary Heuristics for Multimodal Optimization. Application to Data Mining, Research Center for Artificial Intelligence, Computer Science Series, Universitaria Publishing House, Craiova, 191 pages, ISBN: 978-606-510-164-7, 2008.
  37. Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuß, SPOT - Sequential Parameter Optimization Toolbox, Technical Report No. CI-256, ISSN 1433-3325, 2008. cited paper - CEC 2005.
  38. Catalin Stoean, New Evolutionary Techniques in Multi-modal Optimization, PhD Dissertation, Babes-Bolyai University of Cluj-Napoca, 2008.
  39. Mike Preuss, Thomas Bartz-Beielstein, Sequential Parameter Optimization Applied to Sef-Adaptation for Binary-coded Evolutionary Algorithms, Contributed chapter, Studies in Computational Intelligence, Springer-Verlag, pp. 91-119, 2007. cited paper - CEC 2005
  40. Zhichun Wang, Minqiang Li, A Coevolution Approach for Learning Multimodal Concepts, Third International Conference on Natural Computation (ICNC 2007) (indexed by IEEE and ISI), Volume 3, pp. 389-393, 2007. cited paper - BICTA 2006
  41. H. Ye, Z. Ni, An Evolutionary Multi-centers Based Dynamical Clustering Algorithm, Proceedings 3rd International Conference on Natural Computation, ICNC 2007, pp. 586-590, 2007. cited paper - Studia 2003
  42. L. Peng, T. Li, X. Liu, Y. Chen, C. Liu, S. Liu, An Immune System-inspired Paradigm for Anomaly Detection, Journal of Computational and Theoretical Nanoscience, 4 (7-8), pp. 1394-1398, 2007. cited paper - HCMC 2005
  43. Marina Gorunescu, Clasificare si Prognoza, Universitaria Publishing House, Craiova, ISBN 978-973-742-754-0, 2007.
  44. Dan Dumitrescu, New Metaheuristics for Evolutionary Optimization, Invited Paper, 6th Joint Conf. on Math. and Comp. Sci., Hungary, 2006. cited paper - CEC 2005
  45. Florin Gorunescu, Data Mining: Concepte, modele si tehnici, Blue Publishing House, Cluj-Napoca, Romania, 2006, ISBN 973-650-169-8.
  46. Catalin Stoean, Various Collaborator Selection Pressures for Cooperative Coevolution for Classification, 6th International Conference on Artificial Intelligence and Digital Communications - AIDC 2006, Thessaloniki, GreeceResearch Notes in Artificial Intelligence and Data Communications, N. Tandareanu (Ed.), Reprograph Press, pp. 45-53, ISBN 973-742-413-1, 2006. cited paper - BICTA 2006
  47. Universitaet Dortmund, Chair of Algorithm Engineering, A Review of January 2004-February 2006, section Working results, subsection Publications, (pages 69 and 74).
  48. D. Dumitrescu, Catalin Stoean, The Genetic Chromodynamics Metaheuristic, Proceedings of the 5th WSEAS International Conference on Telecommunications and Informatics, Istanbul, Turkey, May 27-29, pp. 92-97, 2006. cited paper - Annals Timisoara
  49. Catalin Stoean, D. Dumitrescu, Elitist Generational Genetic Chromodynamics as a Learning Classifier System, Annals of University of Craiova, Mathematics and Computer Science Series, Volume 33, pp. 132-140, ISSN 1223-6934, 2006. cited paper - SYNASC 2004
  50. Catalin Stoean, D. Dumitrescu, A New Algorithm within Genetic Chromodynamics. Applications to Function Optimization and Classification, Technical Report, Department of Computer Science, Faculty of Mathematics and Computer Science, Babes-Bolyai University, 2005. cited paper - HCMC 2005
  51. E. Chen, F. Wang, Dynamic Clustering Using Multi-objective Evolutionary Algorithm, Lecture Notes in Artificial Intelligence, 3801, pp. 73-80, 2005. cited paper - Studia 2003
  52. Nicolae Tandareanu, Baze de Cunostinte, Sitech Publishing House, Craiova, 2004, ISBN 973-657-720-1.
Last update: September 2014