Seferina Mavroudi

raviolirookeryBiotechnology

Oct 2, 2013 (3 years and 11 months ago)

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Seferina Mavroudi



Seferina Mavroudi is a lecturer in the
Department of Biological Agriculture and Food, of the
TEI of Ionian Islands

and an adjunct lecturer (407/80) in the Department of Computer
Engineering and Informatics of the University of Patras,
Greece. Her research interests
include computational intelligence, bioinformatics, and scientific computing.

Mavroudi
graduated in 1998 from the Department of Electrical and Computer Engineering ,
School of Engineering of the Aristotles University of Thess
aloniki .
In 2000 she received a
Master’s degree from the European Postgraduate Program on Biomedical Engineering,
organized by
the Faculty of Medicine of the University of Patras, the Faculty of Mechanical
Engineering and the Faculty of Electrical and Comp
uter Engineering of the National
Technical University of Athens, in collaboration with more than 20 European Universities. In
the same program, in
February of the year 2003

she completed her

Ph.D. Thesis with title

Development of advanced computational intelligence models for complex bioinformatics
-

and biosignal processing applications
”.

During her phd studies she visited the Bioinformatics
Center of the University of Pennsylvania as a visiting researcher.

Contact
her at mavroudi@ ceid.upatras.gr.



Publications


Peer
-
reviewed journal papers


1. Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon Likothanassis,
"ScalaLab
: an effective scientific programming environment for the Java Platform based on
the Scala object
-
functional language,"
Computing in Science and Engineering
, PrePrint,
2010, ISSN: 1521
-
9615, DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/MCSE.201
0.77


2. Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon Likothanassis,
"Scientific Scripting for the Java Platform with jLab,"
Computing in Science and
Engineering

(
ΙΕΕΕ

Computing society)

vol. 11, no. 4, pp. 50
-
60, July/Aug. 2
009,
doi:10.1109/MCSE.2009.126


3. S. Mavroudi, S. Papadimitriou, S. Kossida, S. Likothanassis, A. Vlachou, “Computational
Methods & Algorithms for Mass
-
Spectrometry based Differential Proteomics”,
Current
Proteomics
,

Vol. 4, Number 4, pp 223
-
234,December
2007


4. Stergios Papadimitriou, Seferina Mavroudi, Spiridon Likothanassis “
Mutual Information
Clustering For Efficient Mining Of Fuzzy Association Rules With Application To Gene
Expression Data Analysis” the
International Journal of Artificial Intellig
ence Tools,
Vol.
15, No. 2 pp. 227
-
250, 2006


5. Andrei Dragomir, Seferina Mavroudi, , Anastasios Bezerianos
, “Som
-
based Class
Discovery exploring the ICA
-
reduced features of microarray expression profiles”,
Comparative and Functional Genomics
, Vol.5,
pp.596
-
616, December 2004


6. Seferina Mavroudi, Stergios Papadimitriou, Anastasios Bezerianos, “
Gene Expression
Analysis with a Dynamically extended Self
-
Organized Map that exploits class information”,
Bioinformatics

,

Vol.18, No.11, pp. 1446
-
1453, 2002


7. S.Papadimitriou, S.Mavroudi, L. Vladutu, A. Bezerianos, " Ischemia Detection with a Self
Organizing Map supplemented by Supervised Learning”,
IEEE Transactions On Neural
Networks
, Vol. 12, No. 3, p. 503
-
515, May 2001.


8. S. Papadimitriou, S. Mavroudi,

L. Vladatu, A. Bezerianos, G. Pavlides, ‘’The Network
Self
-
Organizing Map for pattern classification, prediction and data mining of Large Data
Sets’’,
Applied Intelligence Journal
, Vol. 16, No. 3 pp. 185
-
203, May 2002.


9. S. Papadimitriou, S. Mavroudi
, L. Vladutu, A. Bezerianos, G. Pavlides, “Radial Basis
Function Networks trained with instance based learning for Data Mining of Symbolic Data”,
Applied Intelligence Journal
,
Vol. 16, No. 3 pp. 223
-
234 (May 2002)


10. S. Papadimitriou, T. Bountis,


S. M
avroudi
,

A. Bezerianos,


A Probabilistic Symmetric
Encryption Scheme for very fast Secure Communication based on Chaotic Systems of
Difference Equations’’,
International Journal of Bifurcation & Chaos
,
Vol. 11, No12, p.
3107
-
3115, 2002


11. Stergios

Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Skarlas Lambros,
Spiridon Likothanassis


“Fuzzy Rule based Classifiers from SVlearning”,
WSEAS Trans on
Computers

Issue 7, Vol. 4, July 2005, ISSN 1109
-
2750


12. Stergios Papadimitriou, Konstantinos

Terzidis, Seferina Mavroudi, Skarlas Lambros,
Spiridon Likothanassis


“Local fuzzy association rules


discovery using a kernel map that
exploits apriori knowledge”,
WSEAS Trans on Information Science and Applications
,
Issue7, Vol. 2, July 2005, ISSSN 17
90
-
0832


13.
Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Skarlas Lambros,
Spiridon Likothanassis

“Discovering Interesting Fuzzy Rules using the Fuzzy Frequent
Pattern Tree” ,
WSEAS Trans on Information Science and Applications
, Issue
7, Vol. 2,
July 2005, ISSSN 1790
-
0832


Book Chapter

S. Papadimitriou, S. Mavroudi, A. Bezerianos

“Kernel
-
Based Self
-
Organized Maps Trained
With Supervised Bias for Gene Expression Data Mining”,
Intelligent Knowledge
-
Based
Systems
,
Business and Technology
in the New Millennium
,
Volume V: Neural Networks,
Fuzzy Theory and Genetic Algorithm Techniques
,

Leondes, Cornelius T. (Ed.)
,
2004,

Springer Verlag, ISBN: 1
-
4020
-
7829
-
3


Peer
-
reviewed conference papers


1.) K. Theofilatos C., Dimitrakopoulos, A. Tsakalidis
, S. Likothanassis, S. Mavroudi, “A New
Hybrid Method for Predicting Protein Interactions Using Genetic Algorithms and Extended
Kalman Filters”, accepted to the
10th IEEE International Conference on Information
Technology and Applications in Biomedicine (
ITAB 2010)


2.) .
Μ
. Rapsomaniki, P. Zerefos, K. Theofilatos, A. Tsakalidis, S.Likothanassis, , S.
Mavroudi “A Novel Pipeline Method For The Preprocessing Of Mass Spectrometry
Proteomics Data”, accepted to the
10th IEEE International Conference on Informat
ion
Technology and Applications in Biomedicine (ITAB 2010)


3.) K. Theofilatos, D. Kleftogiannis, M. Rapsomaniki, V. Haidinis, S. Likothanassis, A.
Tsakalidis, S. Mavroudi “A novel embedded pre
-
miRNA classification approach for the
prediction of microRNA

genes”, accepted to the
10th IEEE International Conference on
Information Technology and Applications in Biomedicine (ITAB 2010)


4. Adam Adamopoulos,Mirto Ntasi,Seferina Mavroudi, Spiros Likothanassis, Lazaros Iliadis,
George Anastassopoulos "Revealing
the Structure of Childhood Abdominal Pain Data and
Supporting Diagnostic Decision Making", accepted toEANN2009, August 2009.


5. John Kontaxakis, M. Sangriotis, R. Angelopoulou, K. Plastira, N. Sgouros, S. Mavroudi
“Automatic Analysis of TUNEL assay Micr
oscopy Images”, The 7
th

IEEE International
Symposium on Signal Processing and Information Technology, Biomedical Signal Processing
Session, pp 1172
-
1176, December 15
-
18, Cairo Egypt, 2007


6. S. Mavroudi, P. Katsanos, S. Papadimitriou and

S. Likothanassis
, “Transparent
Classification Process of Bioinformatics data With An Approximated Support Vector Fuzzy
Inference System”, The International Special Topic Conference on Information Technology
in Biomedicine (ITAB 2006), Ioannina

Epirus Greece, October 26
-
2
8, 2006


7. S. Papadimitriou , K. Terzidis S. Mavroudi, P. Katsanos, “Simple Fuzzy Rules extracted
with Support Vector Learining”, accepted to the IASTED International Conference on
Artificial Intelligence and Applications (AIA 2006), Feb. 13, 2006 Innsbru
ck Austria.


8. S. Mavroudi, P. Katsanos, S. Papadimitriou “Transparent Classification Process Analysis”,
accepted to the International Conference on Artificial Intelligence and Soft Computing (ASC
2006), August 28 to August 30, 2006, at Palma De Mallorca,

Spain


9
.
A
.
Dragomir
,
S
.
Mavroudi

and

A
.
Bezerianos

"
Tumor

classification

using

ensembles

of

support vector machines and boosting", The Workshop on Genomic Signal Processing and
Statistics (GENSIPS 2004), Baltimore, Maryland, USA


10
.
Seferina Mavroud
i, Andrei Dragomir, Stergios Papadimitriou, Anastasios Bezerianos

“Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene
Expression Data Analysis”

, ICANN/ICONIP, June 26
-
29, 2003, Istanbul, Turkey published
in
Lecture Notes in
Computer Science

2714, pp. 262
-
270


11
. Seferina Mavroudi, Stergios Papadimitriou, Anastasios Bezerianos, "Gene Expression
Analysis By A Novel Dynamically Extendable Self
-
Organized Map Integrating Unsupervised
And Supervised Learning", Poster
-
session, R
ECOMB 2002, The Sixth Annual International
Conference on Research in Computational Molecular Biology, Washington, DC, April 18
-
21,
2002


12
. Seferina Mavroudi, Stergios Papadimitriou, Anastasios Bezerianos
, "Gene Expression
Data Analysis With A Novel SOM
-
Based Model that is dynamically extandable and Exploits
Class Information", Third European Symposium on Biomedical Engineering, Patras, 27/8
-

01/09, 2002


1
3
. L. Vladutu, S. Papadimitriou, S. Mavroudi and
A. Bezerianos, "Ischemia Detection using
Supervised Learning for Hierarchical Neural Networks based on Kohonen
-
Maps", Τhe 23
rd

IEEE
-
EMBS Conference, Istanbul, 25
-
28 October 2001, Proceedings, 2, 1688
-
1691


14
. L. Vladutu, S. Papadimitriou,, S.Mavroudi,
A. Bezerianos, “Generalized RBF Networks
trained with Instance Based Training for mining Symbolic Data”, The 5
th

Pacific
-
Asia
Conference on Knowledge Discovery and Data Mining (PAKDD
-
01), April 16
-
18, 2001,
Hong Kong, published in
Lecture Notes in Artifici
al Intelligence
,
Advances in Knowledge
Discovery and Data Mining
,
Edts. David Cheung, Graham J. Williams, Qing Li, Springer
-
Verlang, pp. 587
-
594


15
. S. Papadimitriou, A. Bezerianos, L. Vladutu, S.Mavroudi, “Detection of ischemic
episodes with a combination

of supervised and unsupervised learning”, the Int. Conference
On Computational Intelligence, Slovakia, ISCI 2000, 29 August


1 September 2000
published in "
The State of the Art in Computational Intelligence
",Physica
-
Verlag,
SPRINGER, 2000,P. Sincak, J.
Vascak, V. Kvasnicka, R. Mesiar,Eds.


16
. S. Papadimitriou, A. Bezerianos, L. Vladutu, S.Mavroudi, G. Pavlides, “Generalized
Radial Basis Function Neural Networks for data mining of symbolic data
”,
The Int.
Conference On C
omputational Intelligence, Slovakia, ISCI 2000, 29 August


1 September
2000 published in

"
Quo Vadis Computational Intelligence
",
P. Sincak, J. Vascak, Editors,
Physica
-
Verlag, SPRINGER , 2000.


17
. Stergios Papadimitriou, Seferina Mavroudi, Spiridon
Likothanassis “Mutual Information
Clustering for efficient Mining of Fuzzy Association Rules with application to Gene
Expression Data Analysis”, Proceedings of the WSEAS CSCC 2005 for the 9th WSEAS
International CSCC Vouliagmeni, Athens, Greece (July 2005
)


18
. Stergios Papadimitriou, , Seferina Mavroudi, “The Fuzzy Frequent Pattern Tree”,


Proceedings of the WSEAS CSCC 2005 for the 9th WSEAS International CSCC
Vouliagmeni, Athens, Greece (July 2005)


19
. Stergios Papadimitriou, Konstantinos Terzidis, Sef
erina Mavroudi, Skarlas Lambros,
Spiridon Likothanassis “Efficient and Interpretable Fuzzy Classifiers from Data with Support
Vector Learning”


Proceedings of the WSEAS CSCC 2005 Journal for the 9th WSEAS
International CSCC Vouliagmeni, Athens, Greece (Ju
ly 2005)


20
. Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon D.
Likothanassis
“The Fuzzy Frequent Pattern Tree for Mining Large Databases”,
Proceedings
of the 5th WSEAS International Conference on Soft Computing, Optimization, S
imulation &
Manufacturing Systems
-
SOSM 2005,Cancun, Mexico, May 11
-
14 2005


21
. Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon D.
Likothanassis ,“
Mining of Fuzzy Association Rules using a Kernel
-
based Self
-
Organized
Map for par
titioning large databases”,

Proceedings of the 5th WSEAS International
Conference on Soft Computing, Optimization, Simulation & Manufacturing Systems
-
SOSM
2005,Cancun, Mexico, May 11
-
14 2005


22
. A. Dragomir
, S. Mavroudi, A. Bezerianos. “A Boosting Based
Framework for Gene
Expression Data Classification Using Support Vector Machines”
, Proceedings of the
Mediterranean Conference on Medical and Biological Engineering (MEDICON 2004)
,
August 1
-
5, 2004, Naples, Italy