SUMAR FIŞA DE VERIFICARE
a îndeplinirii standardelor minimale naţionale de acordare a titlului de abilitarei
în cadrul comisiei de Informatică
CANDIDAT: Ruxandra Stoean
Domeniul de activitate
(Indicator, Criteriu) Punctaj minim (puncte) Punctaj realizatii (puncte)
Informatică, Indicator B,
Producția științifică
56 (24 de tip A si 16 de tip
minim B)
70,67
(49 de tip A, 54,33 de tip minim B)
Informatică, Indicator C,
Impactul rezultatelor 120 (40 de tip minim B) 436,5 (338 de tip minim B)
Informatică, Indicator D,
Performanța academică 60 72,33
Total 236 579,5
Data
03.10.2016
i Conform Ordinului nr. 5648/13.12.2013 pentru modificarea art. 3 din anexa nr. 1 la Ordinul ministrul educației,
cercetării, tineretului și sportului nr. 5691/2011 privind aprobarea Regulamentului de funcţionare a Consiliului
Naţional de Atestare a Titlurilor, Diplomelor şi Certificatelor Universitare în vederea evaluării tezelor de abilitare şi
a modelului Cererii-tip pentru susţinerea tezei de abilitare, publicat in Monitorul Oficial al României, Partea I, nr.
811/20.12.2013 ii Punctaj calculat după cele două seturi de liste (ianuarie 2013 și ianuarie 2014) privind clasificarea forumurilor din
domeniul informatică și serviciul web de determinare a clasificării jurnalelor din alte domenii decât informatica,
conform site-ului web http://informatica-universitaria.ro/ppages/16/
Nr Referinta bibliografica Tip* Puncte Workshop Autori Ponderat
1
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 Issue 7, June, 2013
pp. 2677-2686, 2013,
http://www.sciencedirect.com/science/article/pii/S0957417412012
171.
J85 8 - 2 8
2
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, Vol. 51, Issue 1, pp. 53-
65, ISSN 0933-3657, 2011,
http://www.ncbi.nlm.nih.gov/pubmed/20675106.
J293 4 - 5 1,33
3
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 (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,
https://www.jstor.org/stable/40206837.
Servici
ul
WEB
4 - 5 1,33
4
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,
http://apps.webofknowledge.com/full_record.do?product=WOS&s
earch_mode=GeneralSearch&qid=2&SID=V1qF3TxY5Gb25YcGa5J&
page=3&doc=21.
J736 2 - 4 1
5
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,
http://inf.ucv.ro/~ami/index.php/ami/article/view/307.
Lista
20142 - 5 0,67
6
Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu
and 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, http://link.springer.com/chapter/10.1007/978-3-
319-19258-1_37.
C1142 4 nu 5 1,33
7
Ruxandra Stoean, Florin Gorunescu, A Survey on Feature Ranking
by Means of Evolutionary Computation, Annals of the University of
Craiova, Mathematics and Computer Science Series, Vol. 40, No.
1, pp. 100-105, 2013,
http://inf.ucv.ro/~ami/index.php/ami/article/view/518.
Lista
20142 - 2 2
Perspectiva B. Producția științifică
Ruxandra Stoean
1/4
Nr Referinta bibliografica Tip* Puncte Workshop Autori Ponderat
8
Ruxandra Stoean, Mike Preuss, Catalin Stoean, D. Dumitrescu,
Concerning the Potential of Evolutionary Support Vector Machines,
The IEEE Congress on Evolutionary Computation - CEC 2007 (ISI
proceedings), Singapore, pp. 1436 - 1443, 2007,
http://ieeexplore.ieee.org/document/4424640/.
C125 8 nu 4 4
9
Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Catalin Stoean,
Evolutionary support vector regression machines, Proceedings of
the 8th International Symposium on Symbolic and Numeric
Algorithms for Scientific Computing (SYNASC 2006), art. no.
4090338 , pp. 330-335, 2006,
http://ieeexplore.ieee.org/document/4090338/.
C634 2 nu 4 1
10
Ruxandra Stoean, Catalin Stoean, D. Dumitrescu, Investigating
landscape topology for subpopulation differentiation in genetic
chromodynamics, Proceedings of the 2008 10th International
Symposium on Symbolic and Numeric Algorithms for Scientific
Computing, (SYNASC 2008) , art. no. 5204869 , pp. 551-554, 2008,
http://ieeexplore.ieee.org/document/5204869/?reload=true&arnu
mber=5204869.
C634 2 nu 3 2
11
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, Vol. 14,
Issue 6, pp. 842-864, ISSN 1089-778X, 2010,
http://ieeexplore.ieee.org/document/5491155/.
J121 8 - 4 4
12
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, Workshop on Problem Understanding
and Real-World Optimisation, series GECCO '13 Companion -
volum distinct, pp. 1063-1070, 2013,
http://dl.acm.org/citation.cfm?id=2482684.
C111 8 da 3 4
13
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, http://dl.acm.org/citation.cfm?id=1277220.
C111 8 nu 4 4
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, Springer Berlin / Heidelberg, vol.
5199, pp. 569-578, 2008, ISBN 978-3-540-87699-1,
http://link.springer.com/chapter/10.1007%2F978-3-540-87700-
4_57.
C292 8 nu 4 4
15
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,
http://dl.acm.org/citation.cfm?id=2001691&dl=ACM&coll=DL&CFID
=832353512&CFTOKEN=76666515.
C111 8 nu 3 8
2/4
Nr Referinta bibliografica Tip* Puncte Workshop Autori Ponderat
16
Catalin Stoean, Ruxandra Stoean, Post-evolution of variable-length
class prototypes to unlock decision making within support vector
machines, Applied Soft Computing, Vol. 25, pp. 159–173, 2014,
http://dl.acm.org/citation.cfm?id=2842102.
J26 8 - 2 8,00
17
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, Issue 4, pp. 238-246, ISSN 0010-4825,
2011,
http://www.computersinbiologyandmedicine.com/article/S0010-
4825(11)00030-8/abstract.
J326 4 - 5 1,33
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, Edinburgh, UK,
September 2-5, 2005, pp. 1839 - 1846, ISBN 0-7803-9363-5,
http://ieeexplore.ieee.org/document/1554911/.
C125 8 nu 4 4
19
Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, A
Cooperative Evolutionary Algorithm for Classification, International
Journal of Computers, Communications & Control, Supplementary
Issue, pp. 417-422, ISSN 1841-9836, 2006,
http://apps.webofknowledge.com/full_record.do?product=WOS&s
earch_mode=GeneralSearch&qid=2&SID=V1qF3TxY5Gb25YcGa5J&
page=2&doc=20&cacheurlFromRightClick=no.
J736 2 - 4 1
20
Ruxandra Gorunescu, P.H. Millard, D. Dumitrescu, 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,
http://www.emeraldinsight.com/doi/abs/10.1108/1741039081084
2282.
J891 2 - 3 2
21
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 (KES
IIMSS), 55, Smart Innovation, Systems and Technologies, Puerto de
la Cruz, Tenerife, Spain, pp. 145-155, 15-17 June 2016,
http://link.springer.com/chapter/10.1007%2F978-3-319-39345-
2_13.
C1109 2 nu 6 0,5
22
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,
http://ieeexplore.ieee.org/document/7426116/.
C634 2 nu 6 0,5
3/4
Nr Referinta bibliografica Tip* Puncte Workshop Autori Ponderat
23
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, 2014,
http://ieeexplore.ieee.org/document/7034727/?reload=true&arnu
mber=7034727.
C634 2 nu 3 2
24
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 - volum distinct, Madrid, Spain, 11-15
July, pp. 1491-1492, 2015,
http://dl.acm.org/citation.cfm?id=2764690.
C111 8 da 6 1
25
Catalin Stoean, D. Dumitrescu, Mike Preuss, Ruxandra Stoean,
Cooperative evolution of rules for classification, Proceedings of the
8th International Symposium on Symbolic and Numeric Algorithms
for Scientific Computing (SYNASC 2006), art. no. 4090336, pp. 317-
322, 2007, http://ieeexplore.ieee.org/document/4090336/.
C634 2 nu 4 1
26
Ruxandra Stoean, Catalin Stoean, Mike Preuss, Elia El-Darzi, D.
Dumitrescu, Evolutionary support vector machines for diabetes
mellitus diagnosis, IEEE Intelligent Systems (IS) , art. no. 4155421,
pp. 182-187, 2006,
http://ieeexplore.ieee.org/document/4155421/.
C282 2 nu 5 0,67
27
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, ISSN 1223-6934, 2009,
inf.ucv.ro/~ami/index.php/ami/article/download/285/276.
Lista
20142 - 3 2
Total puncte categoria A
49
Total puncte categoria B
5,33
Total puncte minim B
54,33
Ruxandra Stoean
* Pozitia din listele de jurnale (J) sau conferinte (C) propuse de Comisia de Informatica CNATDCU din 2013
TOTAL
70,67
Minim necesar abilitare
56 (24 de tip minim A si 16 de tip minim B)
4/4
Numarul
publicatiei
care citeaza
Referinta bibliografica a publicatiei k care citeaza Tip * sk n ni
67 5 3 22,33
1
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, Vol. 108, Issue 2, ISSN 0169-2607, 2012.
J315 4
2
Bharti P, Mittal D, Ananthasivan R, Computer-Aided
Characterization and Diagnosis of Diffuse Liver Diseases Based
on Ultrasound Imaging: A Review, Ultrason Imaging, DOI:
10.1177/0161734616639875, 2016.
Serviciul
WEB2
3
H Luchian, ME Breaban, A Bautu, On Meta-heuristics in
Optimization and Data Analysis. Application to Geosciences,
Artificial Intelligent Approaches in Petroleum Geosciences,
Artificial Intelligent Approaches in Petroleum Geosciences, pp.
53-100, 2015.
BDI 1
4
M.R. Ibraheem, M. Elmogy, Automated Segmentation and
Classification of Hepatocellular Carcinoma Using Fuzzy C-
Means and SVM, Medical Imaging in Clinical Applications,
Volume 651, Studies in Computational Intelligence pp 193-
210, 2016.
Book/PhD 1
5Belciug, Gorunescu, Improving hospital bed occupancy and
resource utilization through queuing modelling and
evolutionary computation, Journal of Biomedical Informatics,
vol 53, pp. 261-269, ISSN 1532-0464, 2015.
J175 8
6
Jung-Kyu Choi, Keun-Hwan Jeon, Yonggwan Won, and Jung-Ja
Kim. 2015. Application of big data analysis with decision tree
for the foot disorder. Cluster Computing 18, 4 (December
2015), 1399-1404. DOI=http://dx.doi.org/10.1007/s10586-015-
0480-6
J305 4
7
Ahmet Kadir Arslan, Cemil Colak, Mehmet Ediz Sarihan,
Different medical data mining approaches based prediction of
ischemic stroke, Computer Methods and Programs in
Biomedicine, Volume 130, July 2016, Pages 87-92, ISSN 0169-
2607, http://dx.doi.org/10.1016/j.cmpb.2016.03.022.
J315 4
8MH Horng, CF Chao, HZ Chai, The construction of a support
vector machine using the shuffled frog-leaping algorithm,
Computer Science and Systems Engineering, 2014.
Book/PhD 1
Perspectiva C. Impactul rezultatelor (citări)
Ruxandra Stoean
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, Vol. 51, Issue 1, pp. 53-65,
ISSN 0933-3657, 2011, http://www.ncbi.nlm.nih.gov/pubmed/20675106.
Total puncte categoria A
8
Total puncte minim categoria B
18,67
k
ks k
k
i
sn
1
1/23
Numarul
publicatiei
care citeaza
Referinta bibliografica a publicatiei k care citeaza Tip * sk n ni
k
ks k
k
i
sn
1
9CF Chao, MH Horng, The Construction of Support Vector
Machine Classifier Using the Firefly Algorithm,
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,
Volume 2015, http://dx.doi.org/10.1155/2015/212719, 2015.
Lista 2014 4
10
Daniel Gartner, Optimizing Hospital-wide Patient Scheduling,
Lecture Notes in Economics and Mathematical Systems,
Volume 674, 2014.
BDI 1
11
Cheng-Min Chao, Ya-Wen Yu, Bor-Wen Cheng, Yao-Lung Kuo,
Construction the Model on the Breast Cancer Survival Analysis
Use Support Vector Machine, Logistic Regression and Decision
Tree, 38(10):106. doi: 10.1007/s10916-014-0106-1, 2014.
J450 4
12
F. Gorunescu, S. Belciug, Evolutionary Strategy to Develop
Learning-based Decision Systems. Application to Breast Cancer
and Liver Fibrosis Stadialization, Journal of Biomedical
Informatics, http://dx.doi.org/10.1016/j.jbi.2014.02.001, 2014.
J175 8
13
Faezeh Hosseinzadeh, Amir Hossein KayvanJoo, Mansuor
Ebrahimi, Prediction of lung tumor types based on protein
attributes by machine learning algorithms, Springerplus, 2:
238, DOI: 10.1186/2193-1801-2-238, 2013.
BDI 1
14
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, ISSN 0169-2607, 10.1016/j.cmpb.2011.10.005.
J315 4
15
Mandal, Indrajit; Sairam, N., Accurate Prediction of Coronary
Artery Disease Using Reliable Diagnosis System, JOURNAL OF
MEDICAL SYSTEMS, 36 (5):3353-3373; 10.1007/s10916-012-
9828-0 OCT 2012.
J450 4
16
Muthanantha Murugavel, A.S., Ramakrishnan, S., Balasamy, K.,
Gopalakrishnan, T., Lyapunov features based EEG signal
classification by multi-class SVM, Proceedings of the 2011
World Congress on Information and Communication
Technologies, WICT 2011 , art. no. 6141243 , pp. 197-201,
2011.
BDI 1
17Florin Gorunescu, Data Mining: Concepts, Models and
Techniques, Springer Verlag, 2011.Book/PhD 1
18
JS Sartakhti, MH Zangooei, K 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
Vol. 108, Issue 2, pp. 570–579, 2012.
J315 4
19
A Mozaffari, S Behzadipour, M Kohani, Identifying the tool-
tissue force in robotic laparoscopic surgery using neuro-
evolutionary fuzzy systems and a synchronous self-learning
hyper level supervisor, Applied Soft Computing, Vol. 14, Issue
PART A, pp. 12 - 30, 2014.
J26 8
20
S Belciug, F Gorunescu, A hybrid neural network/genetic
algorithm applied to breast cancer detection and recurrence,
Expert Systems, 2012.
J644 2
2/23
Numarul
publicatiei
care citeaza
Referinta bibliografica a publicatiei k care citeaza Tip * sk n ni
k
ks k
k
i
sn
1
77 2 1 77
1N Cuong, W Yong, N Ha Nam, Random forest classifier
combined with feature selection for breast cancer diagnosis
and prognostic, Journal of Biomedical Science and
Engineering, Vol.6 No.5, pp. 551-560, May 2013.
BDI 1
2A. F. Seddik and D. M. Shawky, "Logistic regression model for
breast cancer automatic diagnosis," SAI Intelligent Systems
Conference (IntelliSys), IEEE, 2015, London, 2015, pp. 150-154.
doi: 10.1109/IntelliSys.2015.7361138
BDI 1
3
A. O. Ibrahim, S. M. Shamsuddin, A. y. Saleh, A. Abdelmaboud
and A. Ali, "Intelligent multi-objective classifier for breast
cancer diagnosis based on multilayer perceptron neural
network and Differential Evolution," Computing, Control,
Networking, Electronics and Embedded Systems Engineering
(ICCNEEE), 2015 International Conference on, Khartoum,
2015, pp. 422-427.
BDI 1
4
R. Sali, H. Shavandi, and M. Sadeghi, “A clinical decision
support system based on support vector machine and binary
particle swarm optimisation for cardiovascular disease
diagnosis,” International Journal of Data Mining and
Bioinformatics, vol. 15, no. 4,
http://dx.doi.org/10.1504/IJDMB.2016.078150, 2016.
Serviciul
WEB2
5F. Gorunescu, Intelligent decision systems in Medicine ??? A
short survey on medical diagnosis and patient management, E-
Health and Bioengineering Conference (EHB), pp. 1-9, 2015.
BDI 1
6
Fadzil Ahmad, Nor Ashidi Mat Isa, Zakaria Hussain,
Muhammad Khusairi Osman, and Siti Noraini Sulaiman. 2015.
A GA-based feature selection and parameter optimization of
an ANN in diagnosing breast cancer. Pattern Anal. Appl. 18, 4
(November 2015), 861-870.
J502 4
7
Akin Ozcift and Arif Gulten. 2012. A Robust Multi-Class
Feature Selection Strategy Based on Rotation Forest Ensemble
Algorithm for Diagnosis of Erythemato-Squamous Diseases. J.
Med. Syst. 36, 2 (April 2012), 941-949.
J976 2
8X Wanga, W Tanb, H Wuc, An Innovative SVM for Wheat Seed
Quality Estimation, Journal of Information & Computational
Science 12:1, pp. 223–233, January 2015.
J898 2
9
S Ali, A Majid, Can-Evo-Ens: Classifier stacking based
evolutionary ensemble system for prediction of human breast
cancer using amino acid sequences, Journal of Biomedical
Informatics, Volume 54, pp. 256–269, April 2015.
J175 8
R. Stoean, C. Stoean, Modeling medical decision making by support vector machines,
explaining by rules of evolutionary algorithms with feature selection, Expert Systems with
Applications, Volume 40, Issue 7, Pages 2677–2686, June 2013,
http://www.sciencedirect.com/science/article/pii/S0957417412012171.
Total puncte categoria A
40
Total puncte minim categoria B
52
3/23
Numarul
publicatiei
care citeaza
Referinta bibliografica a publicatiei k care citeaza Tip * sk n ni
k
ks k
k
i
sn
1
10
Archana Purwar, Sandeep Kumar Singh, Hybrid prediction
model with missing value imputation for medical data, Expert
Systems with Applications, Volume 42, Issue 13, 1 August
2015, pp 5621–5631.
J85 8
11Daniel Gartner, Optimizing Hospital-wide Patient Scheduling,
Lecture Notes in Economics and Mathematical Systems,
Volume 674, 2014.
Book/PhD 1
12
SI Omurca, E Ekinci, An alternative evaluation of post
traumatic stress disorder with machine learning methods,
2015 International Symposium on Innovations in Intelligent
SysTems and Applications (INISTA), pp. 1-7, 2-4 Sept. 2015.
C1108 2
13
Mohammad M. Ghiasia, Alireza Bahadorib, Sohrab
Zendehboudic, Ioannis Chatzisd, Rigorous models to optimise
stripping gas rate in natural gas dehydration units, Fuel,
Elsevier, 140, pp. 421–428, 2015.
Serviciul
WEB4
14
Lenka Skanderova, Ivan Zelinka, Petr Šaloun, Chaos Powered
Selected Evolutionary Algorithms, Nostradamus 2013:
Prediction, Modeling and Analysis of Complex Systems
Advances in Intelligent Systems and Computing Springer, Vol.
210, pp 111-124, 2013.
BDI 1
15
Majid A., Ali S., HBC-Evo: predicting human breast cancer by
exploiting amino acid sequence-based feature spaces and
evolutionary ensemble system, Amino Acids, pp 217-221,
2014.
BDI 2
16
Eneko Osaba, Roberto Carballedo, Fernando Diaz, Enrique
Onieva, Asier Perallos, A Proposal of Good Practice in the
Formulation and Comparison of Meta-heuristics for Solving
Routing Problems, International Joint Conference SOCO’14-
CISIS’14-ICEUTE’14
Advances in Intelligent Systems and Computing, Springer, Vol
299, pp 31-40, 2014.
BDI 1
17
Mohammad M. Ghiasi, Amir H. Mohammadi, Rigorous
modeling of CO2 equilibrium absorption in MEA, DEA, and TEA
aqueous solutions, Journal of Natural Gas Science and
Engineering, 18, pp. 39–46, 2014.
Serviciul
WEB2
18
Manjeevan Seera, Chee Peng Lim, Shing Chiang Tan, and Chu
Kiong Loo. 2015. A hybrid FAM---CART model and its
application to medical data classification. Neural Comput.
Appl. 26, 8 (November 2015), 1799-1811.
DOI=http://dx.doi.org/10.1007/s00521-015-1852-9
J976 2
19
Lenka Skanderova, Ivan Zelinka, Petr Saloun, Complex
Network Construction Based on SOMA: Vertices In-Degree
Reliance on Fitness Value Evolution, ISCS 2013:
Interdisciplinary Symposium on Complex Systems Emergence,
Complexity and Computation, 8, 2014, Springer Berlin
Heidelberg, pp. 291-297.
BDI 1
20
F. Gorunescu, S. Belciug, Evolutionary Strategy to Develop
Learning-based Decision Systems. Application to Breast Cancer
and Liver Fibrosis Stadialization, Journal of Biomedical
Informatics, http://dx.doi.org/10.1016/j.jbi.2014.02.001, 2014.
J175 8
21
Shuai Hou, Fuan Hua, Wu Lv, Zhaodong Wang, Yujia Liu,
Guodong Wang, Hybrid Modeling of Flotation Height in Air
Flotation Oven Based on Selective Bagging Ensemble Method,
Mathematical Problems in Engineering, Vol. 2013, DOI:
http://dx.doi.org/10.1155/2013/281523, ISSN 1024-123X,
2013.
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Radii and Niche Shapes Approaches for Niching with the CMA-
ES, Evolutionary Computation, Volume 18, Number 1, pp. 97-
126, 2010.
Lista 2014 8
2
Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick
Koch, Wolfgang Konen, Tosin Daniel Oyetoyan and Michael
Tamutan, Comparing SPO-tuned GP and NARX prediction
models for stormwater tank fill level prediction, 2010 IEEE
World Congress on Computational Intelligence, WCCI 2010 -
2010 IEEE Congress on Evolutionary Computation, CEC 2010 ,
pp. 1-8, 2010.
C158 8
3
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.
C292 8
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Davtyan, A., Hoffmann, S., Scheuring, R., Optimization of
model predictive control by means of sequential parameter
optimization, IEEE SSCI 2011 - Symposium Series on
Computational Intelligence - CICA 2011 - 2011 IEEE
Symposium on Computational Intelligence in Control and
Automation , art. no. 5945754 , pp. 11-16, 2011.
C318 2
5Florin Gorunescu, Data Mining: Concepts, Models and
Techniques, Springer Verlag, 2011.Book/PhD 1
Total puncte minim categoria B
12
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, 2005, pp. 1839 - 1846, ISBN 0-7803-9363-5,
http://ieeexplore.ieee.org/document/1554911/.
Total puncte categoria A
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6 Florin Gorunescu, Data Mining: Concepte, modele si tehnici,
Blue Publishing House, Cluj-Napoca, Romania, 2006.
Book/PhD 1
7Jani Rönkkönen, Continuous Multimodal Global Optimization
with Differential Evolution-Based Methods, PhD Dissertation,
Lappeenranta University of Technology, 2009.
Book/PhD 1
8Ofer M. Shir, Niching in Evolutionary Algorithms, Chapter in
Handbook of Natural Computing, Springer, pp 1035-1069,
2012.
Book/PhD 1
9
O. M. Shir, Niching in derandomized evolution strategies and
its applications in quantum control, Doctoral thesis, Natural
Computing Group, LIACS, Faculty of Science, Leiden University,
2008.
Book/PhD 1
36 5 3 12,00
1
Muthanantha Murugavel, A.S., Ramakrishnan, S., Balasamy, K.,
Gopalakrishnan, T., Lyapunov features based EEG signal
classification by multi-class SVM, Proceedings of the 2011
World Congress on Information and Communication
Technologies, WICT 2011 , art. no. 6141243 , pp. 197-201,
2011.
BDI 1
2
Omar S.Soliman, Eman Abo Elhamd, Classification of Hepatitis
C Virus using Modified Particle Swarm Optimization and Least
Squares Support Vector Machine, International Journal of
Scientific and Engineering Research, 5(3), pp. 122-129, 2014.
BDI 1
3F. Gorunescu, Intelligent decision systems in Medicine ??? A
short survey on medical diagnosis and patient management, E-
Health and Bioengineering Conference (EHB), pp. 1-9, 2015.
BDI 1
4
Bharti P, Mittal D, Ananthasivan R, Computer-Aided
Characterization and Diagnosis of Diffuse Liver Diseases Based
on Ultrasound Imaging: A Review, Ultrason Imaging, DOI:
10.1177/0161734616639875, 2016.
Serviciul
WEB2
5
Florin Gorunescu, Smaranda Belciug, Boosting
backpropagation algorithm by stimulus-sampling: Application
in computer-aided medical diagnosis, Journal of Biomedical
Informatics, Volume 63, October 2016, Pages 74-81, ISSN
1532-0464, http://dx.doi.org/10.1016/j.jbi.2016.08.004
J175 8
6 Soliman, Omar S; Elhamd, Eman Abo, A Chaotic Levy Flights
Bat Algorithm for Diagnosing Diabetes Mellitus, International
Journal of Computer Applications, 111.1 pp.36-42, 2015.
Serviciul
WEB2
7
S Belciug, MS Serbanescu, Regression-Based Approach For
Feature Selection In Classification Issues. Application To
Breast Cancer Detection And Recurrence, Volume 67, Issue
1,pp. 13-18, 2015.
BDI 1
Total puncte categoria A
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, Issue 4, pp. 238-246, ISSN 0010-4825, 2011,
http://www.sciencedirect.com/science/article/pii/S0010482511000308.
Total puncte minim categoria B
8,00
8,00
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8
F. Gorunescu, S. Belciug, Evolutionary Strategy to Develop
Learning-based Decision Systems. Application to Breast Cancer
and Liver Fibrosis Stadialization, Journal of Biomedical
Informatics, http://dx.doi.org/10.1016/j.jbi.2014.02.001, 2014.
J175 8
9
Huang, Min; Chen, Jie; Sun, Bo, A new collaborator selection
method of cooperative co-evolutionary genetic algorithm and
its application, International Conference on Multisensor
Fusion and Information Integration for Intelligent Systems
(MFI), IEEE, Beijing, 2014.
BDI 1
10S Belciug, F Gorunescu, A hybrid neural network/genetic
algorithm applied to breast cancer detection and recurrence,
Expert Systems, Vol. 30, Issue 3, pp. 243–254, 2013.
J644 2
11E Parras-Gutierrez, VM Rivas, M Garcia-Arenas, Short, medium
and long term forecasting of time series using the L-Co-R
algorithm, Neurocomputing, Elsevier 2013.
J234 8
12
Dr. S.Appavu Alias Balamurugan,S.Sasikala, Dr.S.Geetha, A
Survey on Predictive Data mining Approaches for Medical
Informatics, International Journal of Scientific & Engineering
Research Volume 3, Issue 9, September-2012.
BDI 1
1 2 1 1,00
1
Florin Gorunescu, Intelligent decision systems in Medicine ???
A short survey on medical diagnosis and patient management,
E-Health and Bioengineering Conference (EHB), pp. 1 - 9, Iasi,
Romania, 2015.
BDI 1
5 5 3 1,67
1
Gürbüz, E., Kiliç, E., Uyarlanabilir DVM yöntemi kullanilarak
şeker hastaliginin teşhis edilmesi | [Diagnosis of diabetes by
using adaptive SVM], 2011 IEEE 19th Signal Processing and
Communications Applications Conference, SIU 2011 , art. no.
5929584 , pp. 46-49, 2011.
BDI 1
2 Florin Gorunescu, Data Mining: Concepte, modele si tehnici,
Blue Publishing House, Cluj-Napoca, Romania, 2006.
Book/PhD 1
3
E Gürbüz, E Kiliç, A new adaptive support vector machine for
diagnosis of diseases, Expert Systems, Wiley, DOI:
10.1111/exsy.12051, 2013.
J644 2
Total puncte categoria A
Stoean, R., Stoean, C., Preuss, M., El-Darzi, E., Dumitrescu, D., Evolutionary support vector
machines for diabetes mellitus diagnosis, IEEE Intelligent Systems - IS , art. no. 4155421, pp.
182-187, 2006, http://ieeexplore.ieee.org/document/4155421/.
Catalin Stoean, Ruxandra Stoean, Post-evolution of variable-length class prototypes to unlock
decision making within support vector machines, Applied Soft Computing, Vol. 25, pp.
159–173, 2014, http://www.sciencedirect.com/science/article/pii/S1568494614004694.
Total puncte categoria A
0
Total puncte minim categoria B
0
0
Total puncte minim categoria B
0
15/23
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4
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.
Book/PhD 1
15 2 1 15,00
1
Meryem Berghida, Abdelmadjid Boukra, Resolution of a
Vehicle Routing Problem with Simultaneous Pickup and
Delivery: A Cooperative Approach, International Journal of
Applied Metaheuristic Computing (IJAMC) 6(3),
10.4018/ijamc.2015070103.
BDI 1
2
Gloria Cerasela Crişan, Camelia-M. Pintea , Petrică Pop, Oliviu
Matei, An Analysis of the Hardness of Novel TSP Iberian
Instances, 11th International Conference, HAIS 2016, Seville,
Spain, April 18-20, 2016, Hybrid Artificial Intelligent Systems
Volume 9648 of the series Lecture Notes in Computer Science
pp 353-364, 2016.
C472 2
3
Gloria Cerasela Crişan, Camelia-M. Pintea, Vasile Palade,
Emergency management using geographic information
systems: application to the first Romanian traveling salesman
problem instance, Knowledge and Information Systems, pp 1-
21, 2016, 10.1007/s10115-016-0938-8.
J213 8
4
Smaranda Belciuge, Florin Gorunescu, A hybrid genetic
algorithm-queuing multi-compartment model for optimizing
inpatient bed occupancy and associated costs, Artificial
Intelligence in Medicine , Volume 68 , 59 - 69, 2016.
J293 4
19 4 2 9,5
1
Yin, X., Yin, G., Hu, X., Zhao, X., Positioning accuracy of robot
vision system based on support vector machine regression,
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 47
(1) , pp. 48-54, 2011.
J845 2
2
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.
J359 4
Stoean, R., Preuss, M., Dumitrescu, D., Stoean, C., Evolutionary support vector regression
machines, Proceedings of the 8th International Symposium on Symbolic and Numeric
Algorithms for Scientific Computing, SYNASC 2006 , art. no. 4090338 , pp. 330-335, 2006,
http://ieeexplore.ieee.org/document/4090338/.
Total puncte categoria A
4
Total puncte minim categoria B
6
Catalin Stoean, Ruxandra Stoean, Support Vector Machines and Evolutionary Algorithms for
Classification - Single or Together?, Intelligent Systems Reference Library, Springer, Vol. 69,
122 p., ISBN 978-3-319-06941-8, 2014, http://www.springer.com/br/book/9783319069401.
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8
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12
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3
LIU Jian-hua, MA Wen-bin, SVM and wavelet analysis method
for hydraulic pump fault of rock drilling, International
Conference on Automation, Mechanical Control and
Computational Engineering (AMCCE 2015), pp. 1855-1859,
2015.
BDI 1
4
Jianzhou Wang, Qingping Zhou, Haiyan Jiang, Ru Hou, Short-
Term Wind Speed Forecasting Using Support Vector
Regression Optimized by Cuckoo Optimization Algorithm,
Mathematical Problems in Engineering, Volume 2015 (2015),
Article ID 619178, http://dx.doi.org/10.1155/2015/619178
BDI 1
3
Kramer, O., Gieseke, F., Evolutionary kernel density regression,
Expert Systems with Applications, volume 39, issue 10, year
2012, pp. 9246 - 9254.
J85 8
4
Kramer, O., Hein, T., Stochastic feature selection in support
vector machine based instrument recognition, German
Conference on Artificial Intelligence KI, Lecture Notes in
Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics)
5803 LNAI, pp. 727-734, 2009.
C235 2
5
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,
2009.
Book/PhD 1
20 3 1 20,00
1
M. W. Pereira, G. S. Neto and M. Roisenberg, "A topological
niching covariance matrix adaptation for multimodal
optimization," 2014 IEEE Congress on Evolutionary
Computation (CEC), Beijing, 2014, pp. 2562-2569.
C125 8
2
Evgenii Sopov, A Self-configuring Multi-strategy Multimodal
Genetic Algorithm, Advances in Nature and Biologically
Inspired Computing
Volume 419 of the series Advances in Intelligent Systems and
Computing pp 15-26, 2016.
BDI 1
3
MA Muñoz, Y Sun, M Kirley, SK Halgamuge, Algorithm
selection for black-box continuous optimization problems: A
survey on methods and challenges, Information Sciences,
Volume 317, pp. 224–245, 2015.
J157 8
4
EA Sopov, Multiple optima identification using multi-strategy
multimodal genetic algorithm, Journal of Siberian Federal
University. Mathematics & Physics 2016, 9(2), pp. 246–257,
2016.
BDI 1
5Oliver Kramer, Machine Learning for Evolution Strategies, 20,
ISBN 978-3-319-33381-6, 2016.Book/PhD 1
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,
http://dl.acm.org/citation.cfm?id=2001691&dl=ACM&coll=DL&CFID=661851677&CFTOKEN=2
2485374.
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V. Stanovov, E. Sopov and E. Semenkin, "Multi-Strategy
Multimodal Genetic Algorithm for Designing Fuzzy Rule Based
Classifiers," Computational Intelligence, 2015 IEEE Symposium
Series on, Cape Town, 2015, pp. 167-173.
BDI 1
4 4 2 2
1D. 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.
J736 2
2
L. State, I. Paraschiv-Muntean, A New Linear Classifier Based
on Combining Supervised and Unsupervised Techniques, Int. J.
of Computers, Communications & Control, Vol. 6, No. 1, pp.
175-186, 2011
J736 2
2 4 2 1
1Florin Gorunescu, Data Mining: Concepts, Models and
Techniques, Springer Verlag, 2011.Book/PhD 1
2 Florin Gorunescu, Data Mining: Concepte, modele si tehnici,
Blue Publishing House, Cluj-Napoca, Romania, 2006.
Book/PhD 1
1 4 2 0,5
1 Florin Gorunescu, Data Mining: Concepte, modele si tehnici,
Blue Publishing House, Cluj-Napoca, Romania, 2006.
Book/PhD 1
Total puncte minim categoria B
0
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,
http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSear
ch&qid=2&SID=V1qF3TxY5Gb25YcGa5J&page=3&doc=21.
Total puncte categoria A
0
Total puncte minim categoria B
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Total puncte categoria A
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Total puncte minim categoria B
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Total puncte categoria A
Stoean, C., Dumitrescu, D., Preuss, M., Stoean, R., Cooperative evolution of rules for
classification, Proceedings of the 8th International Symposium on Symbolic and Numeric
Algorithms for Scientific Computing, SYNASC 2006 , art. no. 4090336, pp. 317-322, 2007,
http://ieeexplore.ieee.org/document/4090336/.
Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, A Cooperative Evolutionary
Algorithm for Classification, International Journal of Computers, Communications & Control,
Supplementary Issue,2006, pp. 417-422, ISSN 1841-9836,
http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSear
ch&qid=2&SID=V1qF3TxY5Gb25YcGa5J&page=2&doc=20&cacheurlFromRightClick=no.
0
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1
E Gajda-Zagórska, Multiobjective evolutionary strategy for
finding neighbourhoods of pareto-optimal solutions,
Applications of Evolutionary Computation, Lecture Notes in
Computer Science, Springer, Volume 7835, pp 112-121, 2013.
LNCS 2
3
B Lacroix, D Molina, F Herrera, Region-based Memetic
Algorithm with Archive for multimodal optimisation,
Information Sciences, Information Sciences, Volumes
367–368, Elsevier, pp. 719–746, 2016.
J157 8
4Ewa Gajda-Zagórska, Recognizing Sets in Evolutionary
Multiobjective Optimization, Journal of Telecommunications &
Information Technology, Vol. 2012 Issue 1, p74-82, 2012.
BDI 1
2 Ewa Gajda-Zagórska, Recognizing Sets in Evolutionary
Multiobjective Optimization, Journal of Telecommunications &
Information Technology, Vol. 2012 Issue 1, p74-82, 2012.
BDI 1
17 5 3 5,67
1Florin Gorunescu, Data Mining: Concepts, Models and
Techniques, Springer Verlag, 2011.Book/PhD 1
2
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.
J359 4
3
Kramer, O., Gieseke, F., Evolutionary kernel density regression,
Expert Systems with Applications, Vol. 39, Issue 10, pp. 9246 -
9254, 2012.
J85 8
4
AM Hashem, MEM Rasmy, KM 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,
Vol. 105, Issue 3, pp. 194–209, 2012.
J315 4
10 4 2 5
5,33
Total puncte categoria A
4
Total puncte minim categoria B
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Total puncte categoria A
2,67
Total puncte minim categoria B
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
Berlin / Heidelberg, vol. 5199, pp. 569-578, 2008, ISBN 978-3-540-87699-1,
http://link.springer.com/chapter/10.1007%2F978-3-540-87700-4_57.
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 of Computational, Intelligence Volume 1, pp. 83-114, 2009,
http://link.springer.com/chapter/10.1007%2F978-3-642-01082-8_4.
C Stoean, D Dumitrescu, M Preuss, R Stoean, Cooperative Coevolution for Classification, Bio-
Inspired Computing: Theory and Applications, pp. 289-298, 2006.
19/23
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Z Wang, M Li, A Coevolution Approach for Learning
Multimodal Concepts, Third International Conference on
Natural Computation, 2007. ICNC 2007, Vol. 3, pp. 389 - 393,
2007.
C519 2
2
BY Hiew, SC Tan, WS Lim, Intra-specific competitive co-
evolutionary artificial neural network for data classification,
Neurocomputing, Elsevier, Volume 185, 12 April 2016, pp.
220–230, 2016
J234 8
20 2 1 20
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X Guo, Z Zhu, J Shi, Integration of semi-fuzzy SVDD and CC-
Rule method for supplier selection, Expert Systems with
Applications, Vol. 41, Issue 4, Part 2, pp. 2083–2097, March
2014.
J85 8
2
F. Gorunescu, S. Belciug, Evolutionary Strategy to Develop
Learning-based Decision Systems. Application to Breast Cancer
and Liver Fibrosis Stadialization, Journal of Biomedical
Informatics, http://dx.doi.org/10.1016/j.jbi.2014.02.001, 2014.
J175 8
3
Camelia-M. Pintea, Petrica C. Pop, Sensitive Ants for Denial
Jamming Attack on Wireless Sensor Network, CISIS 13,
Advances in Intelligent Systems and Computing Vol. 239, pp
409-418, 2014.
C79 4
3 3 1 3
1Ewa Gajda-Zagórska, Recognizing Sets in Evolutionary
Multiobjective Optimization, Journal of Telecommunications &
Information Technology, Vol. 2012 Issue 1, p74-82, 2012.
BDI 1
2
E Gajda-Zagórska, Multiobjective evolutionary strategy for
finding neighbourhoods of pareto-optimal solutions,
Applications of Evolutionary Computation, Lecture Notes in
Computer Science, Springer, Volume 7835, pp 112-121, 2013.
LNCS 2
4 4 2 2
20
Total puncte categoria A
0
Total puncte minim categoria B
0
Total puncte categoria A
0
C Stoean, R Stoean, M Preuss, Approximating the number of attraction basins of a function
by means of clustering and evolutionary algorithms, 8th Int. Conf. on AIDC. Res. No. in AIDC,
pp. 171-180, 2008.
Total puncte categoria A
4
Total puncte minim categoria B
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Total puncte categoria A
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C Stoean, R Stoean, Evolution of cooperating classification rules with an archiving strategy to
underpin collaboration, Intelligent Systems and Technologies, Springer chapter, pp. 47-65,
2009, http://link.springer.com/chapter/10.1007%2F978-3-642-01885-5_3#page-1.
Catalin Stoean, Ruxandra Stoean, Mike Preuss, D. Dumitrescu, Coevolution for Classification,
Technical Report Nr. CI-239/08, Collaborative Research Center on Computational
Intelligence, University of Dortmund, 2008.
20/23
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1S Wang, Z Zheng, Z Wu, Q Sun, H Zou, F Yang, Context-aware
mobile service adaptation via a Co-evolution eXtended
Classifier System in mobile network environments, Mobile
Information Systems, DOI 10.3233/MIS-130178, 2013.
J482 4
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MS Habib, Improving Scalability of Support Vector Machines
for Biomedical Named Entity Recognition, PhD thesis,
University of Colorado, 2008.
Book/PhD 1
2 Enhong Chen, Feng Wang, Dynamic Clustering Using Multi-
objective Evolutionary Algorithm, Computational Intelligence
and Security, pp. 73-80, LNCS, 2005.
LNCS 2
3
H. Ye and Z. Ni, "An Evolutionary Multi-centers Based
Dynamical Clustering Algorithm," Third International
Conference on Natural Computation (ICNC 2007), Haikou,
2007, pp. 586-590.
doi: 10.1109/ICNC.2007.199
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Habiboulaye Amadou Boubacar, Classification Dynamique de
données non-stationnaires :
Apprentissage et Suivi de Classes évolutives, PhD thesis,
Automatique / Robotique. Université des Sciences et
Technologie de Lille - Lille I, 2006.
Book/PhD 1
5
Ji Dan, Qiu Jianlin, Chen Jianping, Chen Li, He Peng, An
improved decision tree algorithm and its application in maize
seed breeding, 2010 Sixth International Conference on Natural
Computation (ICNC), vol.1, pp.117-121, 2010.
C 2
1 3 1 1
1F. Gorunescu, Intelligent decision systems in Medicine ??? A
short survey on medical diagnosis and patient management, E-
Health and Bioengineering Conference (EHB), pp. 1-9, 2015.
BDI 1
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Total puncte minim categoria B
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Stoean C, Stoean R, El-Darzi E. Breast cancer diagnosis by means of cooperative coevolution.
In: Proc. 3rd ACM international conference on intelligent computing and information systems
– ICICIS 2007. Cairo: Police Press; 2007. p. 493–7.
Total puncte categoria A
Ruxandra Gorunescu, D. Dumitrescu, Evolutionary clustering using an incremental technique,
Studia Univ. Babes - Bolyai, Informatica, Volume XL VIII, Number 2, pp. 25 - 33, 2003,
http://www.cs.ubbcluj.ro/~studia-i/2003-2/4-Dumitrescu.pdf.
Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Investigation of Alternative Evolutionary
PrototypeGeneration 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, 2014,
http://ieeexplore.ieee.org/document/7034727/?reload=true&arnumber=7034727.
Total puncte categoria A
Total puncte categoria A
0
Total puncte minim categoria B
0
0
Total puncte minim categoria B
0
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k
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1
F. Gorunescu, S. Belciug, Evolutionary Strategy to Develop
Learning-based Decision Systems. Application to Breast Cancer
and Liver Fibrosis Stadialization, Journal of Biomedical
Informatics, http://dx.doi.org/10.1016/j.jbi.2014.02.001, 2014.
J175 8
1 4 2 0,5
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S. A. Davidsen and M. Padmavathamma, "Multi-modal
evolutionary ensemble classification in medical diagnosis
problems," Advances in Computing, Communications and
Informatics (ICACCI), 2015 International Conference on, Kochi,
2015, pp. 1366-1370.
BDI 1
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Shankaracharya1, Odedra D, Samanta S, Vidyarthi AS.,
Computational intelligence in early diabetes diagnosis: a
review, Rev Diabet Stud. 2010 Winter;7(4), pp. 252-62, 2011.
doi: 10.1900/RDS.2010.7.252
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1J Silc, K Taskova, P Korosec, Data Mining-Assisted Parameter
Tuning of a Search Algorithm, Informatica, 39, pp.169-176,
2015
J681 2
1 5 3 0,333333333
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, https://ls11-
www.cs.tu-dortmund.de/_media/staff/preuss/sspd05.pdf.
Total puncte categoria A
0
Total puncte minim categoria B
0
8
Total puncte minim categoria B
8
Ruxandra Stoean, Thomas Bartz-Beielstein, Mike Preuss, Catalin Stoean, 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,
http://www.academia.edu/11824166/A_Support_Vector_Machine-
Inspired_Evolutionary_Approach_for_Parameter_Setting_in_Metaheuristics.
Total puncte categoria A
0
Total puncte minim categoria B
0
Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu and 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, http://link.springer.com/chapter/10.1007/978-3-319-
19258-1_37.
Total puncte categoria A
0
Total puncte minim categoria B
0
22/23
Numarul
publicatiei
care citeaza
Referinta bibliografica a publicatiei k care citeaza Tip * sk n ni
k
ks k
k
i
sn
1
1F. Gorunescu, Intelligent decision systems in Medicine ??? A
short survey on medical diagnosis and patient management, E-
Health and Bioengineering Conference (EHB), pp. 1-9, 2015.
BDI 1
2 5 3 0,666666667
1Bharti P, Mittal D, Ananthasivan R, Computer-Aided
Characterization and Diagnosis of Diffuse Liver Diseases Based
on Ultrasound Imaging: A Review, Ultrason Imaging, DOI:
10.1177/0161734616639875, 2016.
Serviciul
WEB2
3 2 1 3
1
E. Pashaei, M. Ozen and N. Aydin, "A novel gene selection
algorithm for cancer identification based on random forest
and particle swarm optimization," Computational Intelligence
in Bioinformatics and Computational Biology (CIBCB), 2015
IEEE Conference on, Niagara Falls, ON, 2015, pp. 1-6.
C650 2
2
B. Amarnath, S. Appavu alias Balamurugan, Metaheuristic
Approach for Efficient Feature Selection: A Data Classification
Perspective, Indian Journal of Science & Technology, 9(4),
10.17485/ijst/2016/v9i4/87039, 2016.
BDI 1
A
274,67
Ruxandra Stoean
Total puncte categoria A
0
Total puncte minim categoria B
0
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,
http://inf.ucv.ro/~ami/index.php/ami/article/viewFile/307/294.
Total puncte categoria A
0
Total puncte minim categoria B
Minim necesar abilitare
120 (40 de tip minim B)
* Pozitia din listele de jurnale (J) sau conferinte (C) propuse de Comisia de Informatica CNATDCU din 2013. Cand este de tip C sau D,
am completat LNCS, respectiv BDI/Book/PhD. Cand revista nu este luata din lista din 2013, am completat Lista 2014.
B
63,33
Citări în lucrări de tipTotal
436,50
Total citări în lucrări de
tip minim B
338
Ruxandra Stoean, Florin Gorunescu, A Survey on Feature Ranking by Means of Evolutionary
Computation, Annals of the University of Craiova, Mathematics and Computer Science Series,
Vol. 40, No. 1, pp. 100-105, 2013, http://inf.ucv.ro/~ami/index.php/ami/article/view/518.
0
23/23
Numarul publicatiei Referinta bibliograficaNumar
autoriPuncte
Puncte
ponderat
1
Catalin Stoean, Ruxandra Stoean, Support Vector Machines and Evolutionary
Algorithms for Classification - Single or Together?, Intelligent Systems Reference
Library, Springer, Vol. 69, 122 p., ISBN 978-3-319-06941-8, 2014,
http://www.springer.com/br/book/9783319069401. Recenzii in Memoirs of the
Scientific Sections of the Romanian Academy, Tome XXXVIII, 2015, pp. 132-133,
Acad. Prof. H.N. Teodorescu, http://mss.academiaromana-
is.ro/mem_sc_st_2015/7_Book%20Reviews.pdf si Epaminondas Kapetanios,
Computing Reviews, November, 2014,
http://www.springer.com/br/book/9783319069401#reviews
2 8 8
2
Ruxandra Stoean, Catalin Stoean, Evolutie si inteligenta artificiala. Paradigme
moderne si aplicatii, Editura Albastra - Grupul MicroInformatica, 166 p., ISBN: 978-
973-650-277-4, 2010,
http://www.gmi.ro/librarie/catalog/product_info.php?products_id=225&PHPSESSID
=7e4460cc6728f6297c1efc81fc915490.
2 2 2
3
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, Aboul Ella Hassanien and Ajith Abraham (Eds.), Springer, Vol. 1, pp. 83-
114, ISSN 1860-949X, 2009, http://link.springer.com/chapter/10.1007%2F978-3-642-
01082-8_4.
5 4 1,33
4
Catalin Stoean, Ruxandra Stoean, Evolution of Cooperating Classification Rules with
an Archiving Strategy to Underpin Collaboration, Intelligent Systems and
Technologies - Methods and Applications, Springer, H. N. Teodorescu, Junzo Watada
and L. Jain (Eds.), pp. 47-65, ISSN 1860-949X, 2009,
http://link.springer.com/chapter/10.1007%2F978-3-642-01885-5_3.
2 4 4
5
Ruxandra Stoean, 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,
http://editurauniversitaria.ucv.ro/support-vector-machines-an-evolutionary-
resembling-approach.
1 2 2
Total partial 17,33
Numar curent Grant Puncte
1
Grant PNCDI de tip Parteneriate, Contract Nr. 26/2014, cod PN-II-PT-PCCA-2013-4-
1153, Sistem informatic medical inteligent pentru diagnosticul si monitorizarea
tratamentului la pacientii cu neoplasm colorectal,
https://sites.google.com/site/imediatreat/, iulie 2014 - iunie 2016, valoare
Universitatea din Craiova 498.487 lei, Membru.
4
2
Grant PNCDI de tip Parteneriate, CNMP PC - 2076, Contract Nr. 41071, Algoritm
pentru diagnoza si predictia evolutiei fibrozei hepatice prin mijloace ultrasonografice
neinvazive optimizate prin analiza stochastica a imaginilor, 2007 - 2010, Membru.
1
3
Grant PNCDI de tip Parteneriate, CNMP PC - 2120, Contract Nr. 11028, Noi modele
de calcul natural in studiul complexitatii si in rezolvarea problemelor complexe, 2007
- 2010, Membru.
1
4Grant CNCSIS de tip A, CNCSIS A-322, Calcul evolutiv: noi paradigme, tehnici si clase.
Aplicatii in optimizare, 2007 - 2009, Membru. 1
5Grant IDEI, CNCSIS IDEI - 508, Noi paradigme computationale in abordarea
problemelor complexe, 2007 - 2009, Membru. 1
6Grant CNCSIS de tip A, CNCSIS A - 1477, Modele computationale inspirate din natura.
Noi paradigme si metaeuristici. Aplicatii reale, 2004 - 2006, Membru.1
Total partial 9
Perspectiva D. Performanța academică
Ruxandra StoeanCarti si capitole publicate
Membru al unui grant/proiect/contract/program de cercetare
1/4
Numar curent Conferinta Puncte Tip
1Nature Inspired Cooperative Strategies for Optimization 2011,
http://www.econ.ubbcluj.ro/~rodica.lung/nicso2011/?page_id=232 C420
2
Conference on Parallel Problem Solving From Nature 2010 , Workshop on
Experimental Methods for the Assessment of Computational Systems,
http://www.imada.sdu.dk/~marco/WEMACS2010/
4 C292
3 International KES Conference on Intelligent Decision Technologies, KES IDT 2016,
http://idt-16.kesinternational.org/cmsIPCdisplay.php1 C750
4International KES Conference on Intelligent Decision Technologies, http://idt-
15.kesinternational.org/cmsIPCdisplay.php1 C750
5
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing (SYNASC), Workshop on Natural Computing and Applications, 2012,
http://synasc12.info.uvt.ro/workshops/nca-2012
1 C634
6
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing (SYNASC), Workshop on Natural Computing and Applications, 2013,
http://synasc.ro/synasc2013/workshops/nca-2013/
1 C634
7
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing (SYNASC), Workshop on Natural Computing and Applications, 2014,
http://synasc.ro/2014/workshops/nca-2014/
1 C634
8
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing (SYNASC), Workshop on Natural Computing and Applications, 2015,
http://synasc.ro/2015/workshops/nca-2015/
1 C634
9
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing (SYNASC), Workshop on Natural Computing and Applications, 2016,
http://synasc.ro/2016/workshops/nca-2016/
1 C634
Total partial 13
Numar curent Conferinta Puncte
1 First East European Conference on Health Care Modelling and Computation - HCMC
2005, Craiova, Romania, 2005, membru (dovada atasata D1).1
Total partial 1
Numar curent Conferinta Puncte
1Ruxandra Stoean, TU Dortmund (World rank 622), Chair of Algorithm Engineering,
Conferinta despre "Evolutionary Clustering", iunie 2003 (dovada atasata D2).1
Total partial 1
Numar curent Universitatea Puncte
1Ruxandra Stoean, TU Dortmund (World rank 622), Facultatea de Informatica,
Catedra de Ingineria Algoritmilor, 01.06-31.07.2009, 2 luni, (dovada atasata D4)2
Total partial 2
Numar curent Echipa
Numar
persoa
ne
An
Puncte
(nr.
persoane
x nr. ani)
1 Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, Elia El-Darzi 5 2006 5
Invited speaker la universitati
Visiting professor la o universitate din top 1000
Consolidarea de echipe de cercetare prin publicatii/participari in proiecte in calitate de lider
(autor principal/director)
Membru in comitetul stiintific al unor conferinte
Organizare evenimente stiintifice in calitate de director/membru
2/4
2 Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu 4 2007 4
3 Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, P.H. Millard 5 2008 5
4 Ruxandra Stoean, Catalin Stoean, Mike Preuss, D. Dumitrescu, Elia El-Darzi 5 2009 5
5Director proiect de cercetare nr 42C/2014, Universitatea din Craiova - 4 membri,
https://sites.google.com/site/grantintern2014/4 2014 4
Ruxandra Stoean este prim autor in 2009 pentru urmatoarele publicatii (in Informatica primul autor si cel
corespondent sunt considerati autori principali, conform UEFISCDI):
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, 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, Support Vector Machine Learning with
an Evolutionary Engine, Journal of the Operational Research Society (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.
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.
Ruxandra Stoean este prim autor in 2008 pentru urmatoarea publicatie (in Informatica primul autor si cel
corespondent sunt considerati autori principali, conform UEFISCDI):
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.
Ruxandra Gorunescu, P.H. Millard, D. Dumitrescu, 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 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.
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.
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.
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, 2006.
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.
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.
Ruxandra Stoean este prim autor in 2007 pentru urmatoarele publicatii (in Informatica primul autor si cel
corespondent sunt considerati autori principali, conform UEFISCDI):
Ruxandra Stoean, Mike Preuss, Catalin Stoean, D. Dumitrescu, 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 este prim autor in 2006 pentru urmatoarele publicatii (in Informatica primul autor si cel
corespondent sunt considerati autori principali, conform UEFISCDI):
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.
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.
3/4
Total partial 23
Numar curent Universitatea Puncte
1Ruxandra Stoean, Premiul "Grigore Moisil" al Academiei Romane pentru anul 2006,
decernat in 2008 (dovada atasata D4).
2
Ruxandra Stoean, Diploma de onoare, locul I in cadrul Departamentului de
Informatica, Facultatea de Stiinte, Gala Excelentei in Cercetare, Universitatea din
Craiova, 2016 (dovada atasata D5).
Total partial 6
Total Minim necesar abilitare
72,33 60
Ruxandra Stoean
In 2014 am fost director de proiect pentru contractul 42C, castigat prin competitie la Universitatea din Craiova.
Titlul Proiectului este "Evoluţia prototipurilor în clasificarea cu maşini cu suport vectorial şi reţele neuronale".
Premii si alte merite
6
4/4