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Curriculum vitae

Nume și prenume: Stoean Cătălin-Liviu

E-mail: catalin.stoean@inf.ucv.ro

Website: http://inf.ucv.ro/~cstoean

Data nașterii: 31 august 1979

Educație:

• Octombrie 2004 – Februarie 2008 - Doctorat, Departamentul de Informatică, Facultatea

de Matematică și Informatică, Universitatea Babeș-Bolyai din Cluj-Napoca.

• 2002 - 2003 – Studii Aprofundate, Departamentul de Informatică, Facultatea de

Matematică și Informatică, Universitatea din Craiova.

• 1998 – 2002 – Studii universitare, Departamentul de Informatică, Facultatea de

Matematică și Informatică, Universitatea din Craiova.

Poziții ocupate:

2014 – prezent – Conferențiar, Departamentul de Informatică, Facultatea de Științe,

Universitatea din Craiova.

2012 – 2014 - Lector, Departamentul de Informatică, Facultatea de Matematică și Științe

ale Naturii, Universitatea din Craiova.

2006 – 2012 - Asistent, Departamentul de Informatică, Facultatea de Matematică și

Informatică, Universitatea din Craiova.

2003 – 2006 - Preparator, Departamentul de Informatică, Facultatea de Matematică și

Informatică, Universitatea din Craiova.

Activități de predare: Inteligență artificială, Metodologia cercetării în informatică, Computer

vision

Domenii de expertiză: calcul evolutiv, optimizare multimodală, inteligență artificială, algoritmi de

optimizare

h-index: Thomson Web of Science – 10, Scopus – 11, Google Scholar – 14

Granturi (în calitate de director):

Fulbright Senior Award, Automated Learning Models for Cancerous Tissue Detection: from

Traditional Classifiers to Deep Architectures, University of Illinois at Urbana–Champaign,

01.08.2018-31.10.2018, USA, $12155.

Grant UEFISCDI PNCDI de tip Parteneriate, Contract Nr. 26/2014, cod PN-II-PT-PCCA-2013-

4-1153, Intelligent Medical Information System for the Diagnosis and Monitoring of the

Treatment of Patients with Colorectal Neoplasm, 2014 – 2017, Parteneri: Universitatea

din Craiova, Universitatea de Medicină și Farmacie din Craiova, Blue Logic, Director,

1.424.891 RON.

2/6

DAAD (Deutscher Akademischer Austausch Dienst) Research Stays and Study Visits for

University Academics and Scientists, Nr. A/09/02567, Competiție internațională, An

Evolutionary Approach for Estimating the Number and Sizes of Attraction Basins for

Optimization Problems with Static and Dynamic Landscapes, TU Dortmund University (2

luni) si Cologne University of Applied Sciences (1 lună), 01.06-31.08.2009, Germania,

http://www.f10.fh-koeln.de/Nachrichten/2009/09/f10_msg_04600.html, Director, 5520

euro.

DAAD (Deutscher Akademischer Austausch Dienst) Research Grant for Doctoral Students,

Young Academics and Researchers, A/06/90461, Competiție internațională, Novel

Evolutionary Algorithms for Classification. Application to e-Health, Chair of Algorithm

Engineering, Faculty of Computer Science, TU Dortmund, Germania, 01.06-

30.09.2007, Director, 4000 euro.

Granturi (în calitate de membru):

Grant Nr. 42C/2014, Universitatea din Craiova, Evoluţia prototipurilor în clasificarea cu

maşini cu suport vectorial şi reţele neuronale, 2014, Membru.

Parteneriate UEFISCDI PNCDI, CNMP PC - 2076, Contract Nr. 41071, Algorithm for the

diagnosis and prediction of the hepatic fibrosis evolution through noninvasive

ultrasonographic means, optimized by stochastic analysis of images, 2007 -

2010, Romania, Membru.

Parteneriate UEFISCDI PNCDI Grant, CNMP PC - 2120, Contract Nr. 11028, New models of

natural computation in the study of complexity and in solving complex problems, 2007 -

2010, Romania, Membru.

Grant CNCSIS de tip A, CNCSIS A-322, Evolutionary computation: new paradigms,

tehniques and classes. Applications in optimization, 2007 - 2009, Romania, Membru.

Grant CNCSIS IDEI - 508, New computational paradigms in the approach of complex

problems, 2007 - 2009, Romania, Membru.

Grant CNCSIS de tip A, CNCSIS A - 1477, Computational models inspired from nature. New

paradigms and metaheuristics. Real applications, 2004 - 2006, Romania, Membru.

Premii și distincții:

Inclus în "One Hundred Romanian Authors in Theoretical Computer Science", Editura

Academiei Române, Eds. Svetlana Cojocaru, Gheorghe Păun, Dragoș Vaida, Romanian

Civilization. Supp.1, 2018.

Diplomă de onoare, locul I în cadrul Departamentului de Informatică, Facultatea de Științe,

Gala Excelenței în Cercetare, Universitatea din Craiova, 2016.

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Expert pentru PNCDI III – Proiecte EUREKA, UEFISCDI, 2016 - prezent.

Expert pentru PNCDI III - Proiect de Transfer la Operatorul Economic, 2019.

Expert pentru PNCDI III – Cooperare europeană și internațională, UEFISCDI, 2016, 2017.

Expert pentru PNCDI II – Tinere Echipe de Cercetare, UEFISCDI, 2015.

Premiul “Grigore Moisil” acordat de către Academia Romana în 2008 pentru un set de

publicații din 2006.

Calitate de membru:

Group for Integrated Systems Engineering, Universitatea din Malaga, Spania

Nosokinetics Health and Social Care Modeling Group, Westminster University, London, UK

Centrul de Cercetari Avansate în Informatică Aplicată, Universitatea din Craiova, Romania

Society for Computing Technologies (Director cu cercetarea din 2009)

Alumni:

Fulbright

DAAD (Deutscher Akademischer Austausch Dienst)

TU Dortmund, Chair of Algorithm Engineering LS11, http://ls11-www.cs.uni-

dortmund.de/staff/alumni

Recenzor (reviste): IEEE Transactions on Evolutionary Computation, IEEE Transactions on

Knowledge and Data Engineering, Computers in Biology and Medicine, Artificial Intelligence in

Medicine, Journal of Computational Science, Journal of Computer Science and Technology, Acta

Biotheoretica, Applied Computational Intelligence and Soft Computing, Swarm and Evolutionary

Computation, MDPI Sensors, PLoS One, Memetic Computing, Soft Computing, Entropy,

Electrophoresis, Computational and Structural Biotechnology Journal.

Recenzor (cărți și articole):

Zentralblatt MATH

Chair la conferințe:

International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

(SYNASC 2014, 2015, 2016, 2017, 2018, 2019), Workshop on Natural Computing and

Applications, Co-Chair, http://synasc.ro/2014/workshops/nca-2014/,

http://synasc.ro/2015/workshops/nca-2015/,

http://synasc.ro/2016/workshops/nca-2016/,

https://synasc.ro/2017/workshops/nca-2017/,

https://synasc.ro/2018/workshops/nca-2018/,

https://synasc.ro/2019/workshops/nca-2019/.

Invited Session on Knowledge and Data Engineering in Medicine and Health Care at 23rd

International Conference on Knowledge-Based and Intelligent Information & Engineering

4/6

Systems, September 4-6, 2019, Budapest,

Hungary, http://kes2019.kesinternational.org/cms/userfiles/is19.pdf.

22nd Annual KES Conference, KES-2018, IS10: Knowledge and data engineering in

medicine and health care, Belgrade, Serbia, 3-5 September

2018, http://kes2018.kesinternational.org/cms/userfiles/is10.pdf.

Federated Conference on Computer Science and Information Systems FedCSIS 2019, 9th

International Workshop on Artificial Intelligence in Medical Applications (AIMA'19),

Leipzig University, Leipzig, Germany, 1-4 September,

2019, https://www.fedcsis.org/2019/aima/committee

Federated Conference on Computer Science and Information Systems FedCSIS 2018, 8th

International Workshop on Artificial Intelligence in Medical Applications (AIMA'18),

Poznan, Poland, 9 - 12 September, 2018, http://fedcsis.org/2018/aima/committee.

Membru în comitet de program de conferințe:

Conference on Parallel Problem Solving From Nature 2010, 2012, 2014, 2016, 2018, 2020,

http://home.agh.edu.pl/~ppsn/program_c.php,

http://www.dmi.unict.it/ppsn2012/program_c.php,

http://ppsn2014.ijs.si/?show=progcomm,

http://www.ppsn2016.org/conference/program-committee,

http://ppsn2018.dei.uc.pt/index.php/programme-committee/,

https://ppsn2020.liacs.leidenuniv.nl/program-committee/.

The ACM Genetic and Evolutionary Computation Conference (GECCO 2018, 2019, 2020),

http://gecco-2018.sigevo.org/index.html/GECCO2018-program-compressed.pdf,

https://gecco-2019.sigevo.org/index.html/dl1477.

International Conference on Machine Learning, Optimization, and Data Science, LOD

2018, 2019, 2020, https://lod2018.icas.xyz/program-committee/,

https://lod2019.icas.xyz/program-committee/, https://lod2020.icas.xyz/program-

committee/.

International KES Conference on Intelligent Decision Technologies,

http://idt-15.kesinternational.org/cmsIPCdisplay.php,

http://idt-16.kesinternational.org/cmsIPCdisplay.php,

http://idt-17.kesinternational.org/cmsIPCdisplay.php

International KES Conference Innovation in Medicine & Healthcare, KES InMed 2017,

2018, 2019, 2020, http://inmed-17.kesinternational.org/cmsIPCdisplay.php,

http://inmed-18.kesinternational.org/cmsIPCdisplay.php, http://inmed-

5/6

19.kesinternational.org/cmsIPCdisplay.php, http://inmed-

20.kesinternational.org/cmsIPCdisplay.php

International KES Conference Smart Digital Futures, KES SEEL 2017, http://seel-

17.kesinternational.org/cmsIPCdisplay.php

The 7th Balkan Conference in Informatics (BCI 2015)http://bci2015.bci-conferences.org/

International Symposium on INnovations in Intelligent SysTems and Applications (INISTA

2016, 2017, 2018, 2019), http://inista.org/inista16/pc.html,

http://inista.org/inista17/program-committee.php,

http://inista.org/inista18/committees.html, http://inista.org/inista19/committees.html.

The Second International Workshop on Machine Learning, Optimization and Big Data

(MOD 2016, 2017), http://www.taosciences.it/mod/program-committee/,

http://mod2017.taosciences.org/.

Nature Inspired Cooperative Strategies for Optimization (NICSO),

http://www.econ.ubbcluj.ro/~rodica.lung/nicso2011/?page_id=23

International Conference on Soft Computing (MENDEL), http://www.mendel-

conference.org/index.php?link=ipc.

International Conference on Advances Science and Contemporary Engineering (ICASCE),

http://web.binus.ac.id/icasce2012/komite.asp.

International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

(SYNASC), Workshop on Natural Computing and Applications,

http://synasc12.info.uvt.ro/workshops/nca-2012,

http://synasc.ro/synasc2013/workshops/nca-2013/.

Prezentări invitate:

University of Malaga, Department of Electronic Technology, "On classifying images using

Keras and Tensorflow in Python", June 2019.

University of Bucharest, Faculty of Mathematics and Computer Science, Solomon Marcus

seminar in Computational Linguistics 2019, "Machine learning for classification: from

medical applications to text processing", April 2019.

Wolfram Technology Conference 2018, "On Boosting the Accuracy for the Classification of

Histopathological Slides", September 2018.

University of Illinois at Urbana-Champaign, "On Diagnosing Cancer Grade Based on

Histopathological Slides", August 2018.

University of Ulster, Campus Coleraine, “Combination of Classifiers for Improving the

Accuracy for the Diagnosis of Histopathological Slides”, August 2017.

University of Malaga, Department of Electronic Technology, “On Boosting the Accuracy of Medical Image Diagnosis through Cooperation between Classifiers”, July 2017.

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University of Malaga, Department of Electronic Technology, “Automatic Diagnosis of

Colorectal Neoplasm Based on Histological Images”, May 2016.

Faculty of Computer Science and Engineering Science, Technology Arts Sciences TH Koeln,

University of Sciences, “Computational Support for Pathologists in the Diagnosis of

Colorectal Neoplasm Based on Histological Images”, May 2016.

Workshop Young Researchers in Artificial Intelligence, (Tineri Cercetători în Inteligența

Artificială - TiCIA), Technical University of Cluj-Napoca, 5-8 September 2015, “Research

Methodology in Computer Science”.

TU Dortmund, Faculty of Computer Science, Chair of Algorithm Engineering,

"Computational Intelligence for Histopathological Image Processing”, August 2015.

Cologne University of Applied Sciences, Germany, “Semi-Automatic Parameter Setting

when Processing Medical Images”, 2015.

Romanian Association for Artificial Intelligence (ARIA), ARIA Caravan, “Research Directions

in Artificial Intelligence”, November 2014.

Cologne University of Applied Sciences, Germany, Computational Services in Automation

(COSA) Kolloquium, “Multimodal Real-Valued Optimization Based on Topological

Information”, 2009.

Harrow School of Computer Science, London, UK, "Evolving Cooperative Rules for Medical

Data Classification", November 2008.

"Alexandru Ioan Cuza" University of Iasi, Faculty of Computer Science, Doctoral Intensive

Summer School on Meta-Heuristics in Optimization and in Intelligent Data Analysis, “On

Approximating the Multimodality Degree of a Function by Exploiting Landscape

Topology”, 2008.

TU Dortmund, Faculty of Computer Science, Chair of Algorithm Engineering, The

Computational Intelligence Colloquium, “Multimodal Optimization, radii and search space

topology”, July 2007.

Limbi străine cunoscute: engleză (foarte bine), spaniolă (bine), franceză (bine), germană

(conversațional)

09.03.2020

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Listă de lucră ri

a) Lista celor maxim 10 lucrări considerate ca fiind cele mai relevante după

doctorat

1. 1Shachi Mittal, Catalin Stoean, Andre A Kajdacsy-Balla, Rohit Bhargava, Digital Assessment

of Stained Breast Tissue Images for Comprehensive Tumor and Microenvironment

Analysis, Frontiers in Bioengineering and Biotechnology, section Bioinformatics and

Computational Biology, Manuscript ID: 454225, doi: 10.3389/fbioe.2019.00246, IF 5.122,

2019.

2. Catalin Stoean, Wieslaw Paja, Ruxandra Stoean, Adrian Sandita, Deep architectures for

long-term stock price prediction with a heuristic-based strategy for trading simulations.

PLOS ONE 14(10): e0223593. https://doi.org/10.1371/journal.pone.0223593, IF 2.776,

2019.

3. 2Daniel Lichtblau, Catalin Stoean, Cancer diagnosis through a tandem of classifiers for

digitized histopathological slides, PLOS ONE, 14(1): e0209274,

https://doi.org/10.1371/journal.pone.0209274, IF 2.776, 2019.

4. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia,

Daniela Ciobanu, How Much and Where to Use Manual Guidance in the Computational

Detection of Contours for Histopathological Images?, Soft Computing,

https://doi.org/10.1007/s00500-018-3029-9, IF 2.784, Vol. 23, No. 11, pp. 3707-3722,

2019.

5. Daniel Lichtblau, Catalin Stoean, Text Documents Encoding through Images for Authorship

Attribution, 6th International Conference on Statistical Language and Speech Processing,

SLSP 2018, Mons, Belgium, October 15-16, Lecture Notes in Computer Science,

https://link.springer.com/chapter/10.1007/978-3-030-00810-9_16, Vol. 11171, Springer,

Cham.

6. Catalin Stoean, In Search of the Optimal Set of Indicators when Classifying

Histopathological Images, 13th Workshop on Natural Computing and Applications, 18th

International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

(SYNASC 2016), Timisoara, Romania, pp. 449-455, 2016.

http://ieeexplore.ieee.org/document/7829646/

7. Catalin Stoean, Ruxandra Stoean, Support Vector Machines and Evolutionary Algorithms

for Classification ‐ Single or Together?, Intelligent Systems Reference Library, Springer,

1 În lucrare este specificat că primii doi autori au contribuții egale. 2 În lucrare este specificat că ambii autori au contribuții egale.

2/10

Volume 69, http://www.springer.com/br/book/9783319069401, ISBN: 978-3-319-06940-

1, 122 p., 2014.

8. Catalin Stoean, Ruxandra Stoean, Post-evolution of variable-length class prototypes to

unlock decision making within support vector machines, Applied Soft Computing, Elsevier,

ISSN 1568-4946, Vol. 25, pp. 159-173, 2014.

http://www.sciencedirect.com/science/article/pii/S1568494614004694

9. Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu, Multimodal Optimization

by means of a Topological Species Conservation Algorithm, IEEE Transactions on

Evolutionary Computation, IEEE Intelligence Computational Society, ISSN 1089-778X , Vol.

14, No. 6, pp. 842-864, 2010. http://ieeexplore.ieee.org/document/5491155/

10. 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, Elsevier, ISSN 0010-4825, Vol. 41, No. 4, pp. 238-246, 2011.

http://www.sciencedirect.com/science/article/pii/S0010482511000308

b) Teza de doctorat

New Evolutionary Techniques in Multi-modal Optimization, Department of Computer Science,

Faculty of Mathematics and Computer Science, Babeș - Bolyai University of Cluj – Napoca,

February 2008, PhD supervisor Prof. Dr. D. Dumitrescu.

c) Cărți și capitole în cărți

1. Catalin Stoean, Ruxandra Stoean, Support Vector Machines and Evolutionary Algorithms

for Classification ‐ Single or Together?, Intelligent Systems Reference Library, Springer,

Volume 69, ISBN: 978-3-319-06940-1, 122 p., 2014.

2. Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya, Convolutional Neural

Network Learning Versus Traditional Segmentation for the Approximation of the Degree

of Defective Surface in Titanium for Implantable Medical Devices, 15th International Work-

Conference on Artificial Neural Networks, Advances in Computational Intelligence,

https://doi.org/10.1007/978-3-030-20521-8, Springer International Publishing, 2019.

3. Ruxandra Stoean, Catalin Stoean, Evolutie si inteligenta artificiala. Paradigme moderne si

aplicatii, Editura Albastra - Grupul MicroInformatica, ISBN: 978-973-650-277-4, 166 p.,

2010.

4. Catalin Stoean, Evolutionary Heuristics for Multimodal Optimization. Application to Data

Mining, Research Center for Artificial Intelligence, Computer Science Series, Universitaria

Publishing House, Craiova, ISBN: 978-606-510-164-7, 191 p., 2008.

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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, ISSN 1860-949X, 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,

ISSN 1860-949X, Vol. 1, pp. 83-114, 2009.

d) Lucrări publicate în reviste din fluxul principal internațional

1. 3Shachi Mittal, Catalin Stoean, Andre A Kajdacsy-Balla, Rohit Bhargava, Digital Assessment

of Stained Breast Tissue Images for Comprehensive Tumor and Microenvironment

Analysis, Frontiers in Bioengineering and Biotechnology, section Bioinformatics and

Computational Biology, Manuscript ID: 454225, doi: 10.3389/fbioe.2019.00246, IF 5.122,

2019.

2. 4Daniel Lichtblau, Catalin Stoean, Cancer diagnosis through a tandem of classifiers for

digitized histopathological slides, PLOS ONE, 14(1): e0209274, IF 2.776, 2019.

3. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia,

Daniela Ciobanu, How Much and Where to Use Manual Guidance in the Computational

Detection of Contours for Histopathological Images?, Soft Computing,

https://doi.org/10.1007/s00500-018-3029-9, IF 2.784, Vol. 23, No. 11, pp. 3707-3722,

2019.

4. Catalin Stoean, Wieslaw Paja, Ruxandra Stoean, Adrian Sandita, Deep architectures for

long-term stock price prediction with a heuristic-based strategy for trading simulations.

PLOS ONE 14(10): e0223593. https://doi.org/10.1371/journal.pone.0223593, IF 2.776,

2019.

5. Adriana Samide, Catalin Stoean, Ruxandra Stoean, Surface study of inhibitor films formed

by polyvinyl alcohol and silver nanoparticles on stainless steel in hydrochloric acid solution

using Convolutional Neural Networks, Applied Surface Science, Vol. 475, pp. 1-5, IF 5.155,

2019.

6. Adriana Samide, Ruxandra Stoean, Catalin Stoean, Bogdan Tutunaru, Roxana Grecu,

Nicoleta Cioatera, Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and

Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional

Neural Networks, Coatings, Vol. 9, No. 2, Art. No. 105, 10.3390/coatings9020105, IF 2.33,

2019.

3 În lucrare este specificat că primii doi autori au contribuții egale. 4 În lucrare este specificat că ambii autori au contribuții egale.

4/10

7. Cristian Mesina, Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Theodor Viorel

Dumitrescu, Stelian Stefanita Mogoanta, Daniel Alin Cristian, Mihaela-Iustina Mesina-

Botoran, George Mitroi, Corina-Lavinia Gruia, Maria Camelia Foarfa, Mihai Mesina, Daniela

Ciobanu, Immunohistochemical evaluation of tumor budding in colorectal cancer: an

important parameter with prognostic value, Romanian Journal of Morphology and

Embryology, IF. 1.5, Vol. 60, No. 3, pp. 841-846, 2019.

8. 5Dumitru Bogdan Mateis Boruz, Catalin Stoean, On Supporting Cancer Grading Based on

Histological Slides Using a Limited Number of Features, Annals of the University of Craiova

– Mathematics and Computer Science Series, Vol. 45, No. 1, pp. 156–166, 2018.

9. Cristian Mesina, Catalin Stoean, Ruxandra Stoean, Victor Adrian Sandita, Corina Lavinia

Gruia, Maria Camelia Foarfa, Luciana Teodora Rotaru, Alina Elena Ciobanu, Mihai Mesina,

Veronica Calborean, Victor Gheorman, Daniela Ciobanu, Immunohistochemical Expression

of Cd8, Cdx2, P53, D2-40 and Ki 67 in Colorectal Adenocarcinoma, Conventional and

Malignant Colo-Rectal Polyps, Revista de Chimie, Vol. 69, No. 2, pp. 419-428, IF 1.605,

2018.

10. 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 - what can a professional get from the opinions of

different models? Neural Processing Letters, pp.1-17, 2017.

11. Catalin Stoean, Ruxandra Stoean, Post-evolution of variable-length class prototypes to

unlock decision making within support vector machines, Applied Soft Computing, Elsevier,

ISSN 1568-4946, Vol. 25, pp. 159-173, 2014.

12. 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, Vol. 40 No. 7, pp. 2677‐2686, 2013.

13. 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, Elsevier, Vol. 41, No. 4, pp. 238-246, ISSN 0010-4825, 2011.

14. 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, Elsevier, ISSN 0933-3657, Vol. 51,

No. 1, pp. 53-65, 2011.

15. Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu, Multimodal Optimization

by means of a Topological Species Conservation Algorithm, IEEE Transactions on

5 Dumitru Bogdan Mateis Boruz era masterand cu lucrarea de disertatie coordonată de către candidat.

5/10

Evolutionary Computation, IEEE Intelligence Computational Society, Vol. 14, No. 6, pp.

842-864, ISSN 1089-778X, 2010.

16. 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, Palgrave Macmillan, Vol. 60, Issue 8, pp. 1116-1122, ISSN 0160-5682, 2009.

17. Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, A Cooperative Evolutionary

Algorithm for Classification, International Journal of Computers, Communications &

Control, Supplementary Issue, ISSN 1841-9836, pp. 417 - 422, 2006.

18. Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, Evolutionary Multi-class

Support Vector Machines for Classification, International Journal of Computers,

Communications & Control, Supplementary Issue, pp. 423 - 428, ISSN 1841-9836, 2006.

e) Lucrări publicate în cadrul principalelor conferințe internaționale din

domeniu

1. Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-

Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luis Velázquez Pérez, Gonzalo

Joya, Unsupervised Learning as a Complement to Convolutional Neural Network

Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2,

15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran

Canaria, Spain pp. 26-37, 2019.

2. Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada,

Gonzalo Joya, Dynamic Clustering of Time Series with Echo State Networks, 15th

International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria,

Spain pp. 73-83, 2019.

3. Daniel Lichtblau, Catalin Stoean, Text Documents Encoding through Images for Authorship

Attribution, 6th International Conference on Statistical Language and Speech Processing,

SLSP 2018, Mons, Belgium, October 15-16, Lecture Notes in Computer Science, vol 11171,

Springer, Cham.

4. Catalin Stoean, Daniel Lichtblau, Classifier Result Aggregation for Automatically Grading

Histopathological Images, 19th International Symposium on Symbolic and Numeric

Algorithms for Scientific Computing (SYNASC), IEEE Computer Society, Los Alamitos,

California, ISBN: 978-1-5386-2625-2, pp. 419-425, 2018.

5. Ruxandra Stoean, Adriana Samide, Catalin Stoean, Deep Learning for Metal Corrosion

Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency?, 2018 20th

International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

6/10

(SYNASC 2018), Timisoara, Romania, 2018, doi: 10.1109/SYNASC.2018.00065, pp. 387-

393, 2018.

6. 6Ștefan Postăvaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparros, Adaptation of

Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images.

In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2017.

Lecture Notes in Computer Science, vol 10306. Springer, Cham, pp. 38-49, 2017.

7. 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, Intelligent Interactive

Multimedia Systems and Services, 55, Smart Innovation, Systems and Technologies,

Springer, pp. 145-155, 2016.

8. 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.

9. 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.

10. 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.

11. 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.

12. Catalin Stoean, Mike Preuss, Ruxandra Stoean, EA‐based Parameter Tuning of Multimodal

Optimization Performance by Means of Different Surrogate Models, GECCO‐UP workshop,

pp. 1063‐1070, 2013.

13. Mike Preuss, Catalin Stoean, Ruxandra Stoean, Niching Foundations: Basin Identification

on Fixed-Property Generated Landscapes, The ACM Genetic and Evolutionary

Computation Conference (GECCO-2011), Dublin, Ireland, pp. 837-844, 2011.

6 Ștefan Postăvaru era masterand la momentul publicării acestei lucări.

7/10

14. Catalin Stoean, Mike Preuss, Ruxandra Stoean, D. Dumitrescu, 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, vol. 5199, pp. 569-578, ISBN 978-3-540-87699-1, 2008.

15. Ruxandra Stoean, Catalin 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.

16. 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, London, UK, pp. 1420 - 1427, 2007.

17. 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.

18. 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.

19. Catalin Stoean, Mike Preuss, D. Dumitrescu, Ruxandra Stoean, Cooperative Evolution of

Rules for Classification, IEEE Post-proceedings Symbolic and Numeric Algorithms for

Scientific Computing - SYNASC 2006, IEEE Press, Lisa O'Conner (Ed.), Los Alamitos, CA, USA,

pp. 317-322, 2006, ISBN 0-7695-2740-X.

20. 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, 2006, ISBN 0-7695-2740-X.

21. 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.

22. 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.

23. 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,

Edinburgh, UK, September 2-5, pp. 1839 - 1846, 2005, ISBN 0-7803-9363-5.

8/10

f) Alte lucrări și contribuții științifice

1. Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, 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.

2. 7Alexandru Becheru, Catalin Stoean, Optimization of Gear Changing using Simulated

Annealing, Annals of the University of Craiova, Mathematics and Computer Science Series,

Vol.39, No. 2, pp. 309-321, 2012.

3. 8Nicolescu Dragos, Catalin Stoean, An Efficient Influence Map Based Controller for the Pac-

Man Agent, Journal of Knowledge, Communications and Computing Technologies, Vol. 3,

No. 1, 2011.

4. Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea,

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, Vol. 37, No. 1, pp. 43-54, 2010.

5. Catalin Stoean, Mike Preuss, Ruxandra Stoean, 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, pp. 53-62, 2009, ISSN 1223-

6934.

6. 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, 2006, pp. 132-140, ISSN 1223-6934.

7. Ruxandra Stoean, D. Dumitrescu, Catalin Stoean, Nonlinear Evolutionary Support Vector

Machines. Application to Classification, Studia Babes-Bolyai, Seria Informatica, Vol. LI, No.

1, pp. 3-12, 2006.

8. D. Dumitrescu, Catalin Stoean, Ruxandra Stoean, Genetic Chromodynamics for the Job

Shop Scheduling Problem, Studia Univ. Babes - Bolyai, Informatica, Special Issue, pp. 153-

160, 2007.

9. Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, 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.

10. Catalin Stoean, D. Dumitrescu, On Improving Classification Accuracy for Diabetes Diagnosis

by Evolving Weights, Scientific Bulletin, University of Pitesti, Mathematics and Computer

Science Series, Issue 11, pp. 67-74, 2005.

7 Alexandru Becheru era masterand cu lucrarea de disertatie coordonată de către candidat. 8 Nicolescu Dragoș era masterand cu lucrarea de disertatie coordonată de către candidat.

9/10

11. Catalin Stoean, Ruxandra Stoean, An Evolutionary Topological Elitist Mechanism to Pre-

inspect Multimodal Landscapes of Optimization Problems, Memoirs of the Scientific

Sections of the Romanian Academy, Vol. XXXII, No. 4, pp. 79-88, ISSN 1224-1407, 2009.

12. Shachi Mittal, Andre Balla, Luke Pfister, Catalin Stoean, Kianoush Falahkheirkhah, Rohit

Bhargava, Tumor Identification and Grading on Histopathology Images Using Deep

Learning, USCAP 108th Annual Meeting, Modern Pathology, Vol. 32, Supplement 2,

Springer Nature, pp. 26-27, March 2019.

13. Catalin Stoean, Mike Preuss, Ruxandra Stoean, 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.

14. Ruxandra Stoean, Catalin Stoean, D. Dumitrescu, 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.

15. Ruxandra Stoean, Mike Preuss, Catalin Stoean, 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.

16. Catalin Stoean, Ruxandra Stoean, 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.

17. Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Competitive Coevolution

for Classification, Proceedings of the 7th International Conference on Artificial Intelligence

and Digital Communications - AIDC 2007, pp. 28-39, 2007.

18. Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, 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, 2006

19. Catalin Stoean, Various Collaborator Selection Pressures for Cooperative Coevolution for

Classification, 6th International Conference on Artificial Intelligence and Digital

Communications - AIDC 2006, Thessaloniki, Greece, Research Notes in Artificial

Intelligence and Data Communications, N. Tandareanu (Ed.), Reprograph Press, pp. 45-53,

ISBN 973-742-413-1, 2006.

20. Catalin Stoean, Ruxandra Gorunescu, D. Dumitrescu, 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

10/10

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.

21. Catalin Stoean, D. Dumitrescu, On Solving the 3-SAT Problem Using an Evolutionary

Multimodal Optimization Technique, 5th International Conference on Artificial

Intelligence and Digital Communications - AIDC 2005, Craiova, Romania, September 2005,

pp. 136-142, ISBN 973-671-014-9.

22. D. Dumitrescu, Catalin Stoean, Genetic chromodynamics – a novel evolutionary heuristic

for multimodal optimization, First International Conference on Multidisciplinary

Information Sciences and Technologies, InSciT2006, Merida, Spain, Current Research in

Information Sciences and Technologies. Multidisciplinary approaches to Global

Information Systems, Volume 2, V.P. Guerrero-Bote (Ed.), Open Institute of Knowledge,

pp. 238-243, 2006.

23. Catalin Stoean, D. Dumitrescu, Mike Preuss, Ruxandra Stoean, Cooperative Coevolution

for Classification, Bio-Inspired Computing: Theory and Applications, BIC-TA 2006, China, D.

Dumitrescu, Linqing Pan (Eds.), pp. 289 - 298, 2006.

24. Ruxandra Stoean, D. Dumitrescu, Mike Preuss, Catalin Stoean, 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.

25. Catalin Stoean, Mike Preuss, D. Dumitrescu, Ruxandra Stoean, A Cooperative

Coevolutionary Algorithm for Multi-class Classification, Symbolic and Numeric Algorithms

for Scientific Computing, SYNASC 2006, pp. 7-14, 2006.

26. Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Catalin Stoean, ε - Evolutionary Support

Vector Regression, Symbolic and Numeric Algorithms for Scientific Computing, SYNASC

2006, pp. 21-27, 2006.

27. Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, 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.

28. Catalin Stoean, D. Dumitrescu, Cloning within Genetic Chromodynamics, Proceedings of

the Colocviul Academic Clujean de Informatica, Babes-Bolyai University of Cluj-Napoca,

Faculty of Mathematics and Computer Science, pp. 9-14, 2005.

09.03.2020