Publications

Journal articles

  1. Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Interpreting Decision Support from Multiple Classifiers for Predicting Length of Stay in Patients with Colorectal Carcinoma, Neural Processing Letters, DOI 10.1007/s11063-017-9585-7, pp.1-17, 2017.
  2. Catalin Stoean, Ruxandra Stoean, Post-evolution of variable-length class prototypes to unlock decision making within support vector machines, Applied Soft Computing (ISI 2013 impact factor: 2.679), Elsevier, Vol. 25, pp. 159-173, ISSN 1568-4946, 2014. WoS: Q2-AIS, Q1-IF
  3. Ruxandra Stoean, Catalin Stoean, 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, Vol. 40, No. 7, pp. 2677?2686, ISSN 0957-4174, 2013. WoS: Q2-AIS, Q1-IF, 12 citations
  4. Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea, Feature Selection for a Cooperative Coevolutionary Classifier in Liver Fibrosis Diagnosis, Computers in Biology and Medicine (ISI 2009 impact factor: 1.269), Elsevier, Vol. 41, Issue 4, pp. 238-246, ISSN 0010-4825, 2011.  WoS: Q3-AIS, Q3-IF, 8 citations
  5. Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea, 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. WoS: Q2-AIS, Q1-IF, 12 citations
  6. Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu, 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. TSC2 code can be found here. WoS: Q1-AIS, Q1-IF, 37 citations
  7. Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu, Support Vector Machine Learning with an Evolutionary Engine, Journal of the Operational Research Society (ISI indexed, 2009 Impact Factor: 1.009), 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. WoS: Q3-AIS, Q3-IF, 8 citations
  8. Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, 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. WoS: Q3-AIS, Q3-IF
  9. Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, 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. WoS: Q3-AIS, Q3-IF, 4 citations

Books

  1. Catalin Stoean, Ruxandra Stoean, Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together?, Intelligent Systems Reference Library, Springer, Vol. 69, ISBN 978-3-319-06940-1, 2014.
  2. Ruxandra Stoean, Catalin Stoean, Evolutie si inteligenta artificiala. Paradigme moderne si aplicatii, Editura Albastra - Grupul MicroInformatica, ISBN: 978-973-650-277-4, 2010.
  3. 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. 

Springer book chapters

  1. Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting, Intelligent Decision Technologies, pp. 117-126, 2017.
  2. Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparros, Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images,  Advances in Computational Intelligence, pp. 38-49, 2017.
  3. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Corina Lavinia Gruia, SVM-Based Cancer Grading from Histopathological Images using Morphological and Topological Features of Glands and Nuclei, Smart Innovation, Systems and Technologies, Vol. 55, Springer, ISBN 978-3-319-39344-5, pp. 145-155, 2016. The data set used in the article can be found here.
  4. Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer, Advances in Computational Intelligence, LNCS, Springer, ISBN 978-3-319-19257-4, Vol. 9094, pp. 444-457, 2015.
  5. Catalin Stoean, Ruxandra Stoean, Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration, Intelligent Systems and Technologies - Methods and Applications, Springer, ISBN 978-3-642-01885-5, pp. 47-65, 2009.
  6. Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu, An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy, Foundations on Computational Intelligence, Springer, 978-3-642-01082-8, 1, pp. 83-114, 2009.
  7. Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu, EA-Powered Basin Number Estimation by Means of Preservation and Exploration, Parallel Problem Solving from Nature, 5199, LNCS, ISBN 978-3-540-87699-1, pp. 569-578, 2008.

Selected conferences

  1. Catalin Stoean, In Search of the Optimal Set of Indicators when Classifying Histopathological Images, IEEE Post-Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timisoara, pp. 449-455, 2016.
  2. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Corina Lavinia Gruia, SVM-Based Cancer Grading from Histopathological Images using Morphological and Topological Features of Glands and Nuclei, 9th International KES Conference on Intelligent Interactive Multimedia: Systems and Services, Puerto de la Cruz, Tenerife, Spain, 15-17 June 2016, Intelligent Interactive Multimedia Systems and Services 2016, Vol. 55, Smart Innovation, Systems and Technologies, pp. 145-155, 2016.
  3. Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer, International Work-Conference on Artificial Neural Networks (IWANN 2015), Advances in Computational Intelligence, Lecture Notes in Computer Science, Springer, Volume 9094, Palma de Mallorca, Spain, 10-12 June, pp. 444-457, 2015.
  4. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Daniela Ciobanu, Corina Lavinia Gruia, Investigation on Parameter Effect for Semi-Automatic Contour Detection in Histopathological Image Processing, IEEE Post-Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2015), IEEE Computer Society, September 21 – 24, pp. 445-452, 2015, Timisoara, Romania.
  5. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu, Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images, The ACM Genetic and Evolutionary Computation Conference (GECCO 2015), GECCO Companion, Madrid, Spain, 11-15 July, pp. 1491-1492, 2015.
  6. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Investigation of Alternative Evolutionary Prototype Generation in Medical Classification, IEEE Post-Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014), September 22 – 25, 2014, Timisoara, Romania, pp. 537-543, ISBN 978-1-4799-8447-3. 
  7. Catalin Stoean, Mike Preuss, Ruxandra Stoean, 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.
  8. Mike Preuss, Catalin Stoean, Ruxandra Stoean, Niching Foundations: Basin Identification on Fixed-Property Generated Landscapes, The ACM Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO-2011), Dublin, Ireland, pp. 837-844, 2011.
  9. Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu, 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.
  10. Ruxandra Stoean, Catalin Stoean, D. Dumitrescu, Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics, IEEE Postproceedings, 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing - SYNASC 2008, IEEE Press, pp. 551-554, 2008.
  11. Catalin Stoean, Mike Preuss, Ruxandra 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.
  12. Ruxandra Stoean, Mike Preuss, Catalin Stoean, D. Dumitrescu, Concerning the Potential of Evolutionary Support Vector Machines, The IEEE Congress on Evolutionary Computation - CEC 2007, Singapore, pp. 1436 - 1443, 2007. 
  13. Catalin Stoean, Ruxandra Stoean, Elia El-Darzi, 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.
  14. Ruxandra Stoean, Catalin Stoean, Mike Preuss, Elia El-Darzi, D. Dumitrescu, Evolutionary Support Vector Machines for Diabetes Mellitus Diagnosis, IEEE IS 2006, Westminster, London, pp. 182-187, ISBN 1-4244-0196-8.
  15. Catalin Stoean, Mike Preuss, D. Dumitrescu, Ruxandra 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.
  16. Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Catalin Stoean, 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.
  17. Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, Evolutionary Support Vector Machines for Spam Filtering, RoEduNet IEEE International Conference, Sibiu, Romania, 2006, pp. 261-266.
  18. Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D. Dumitrescu, 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.