George Tzanis
George Tzanis
BSc, MSc, PhD in Computer Science, MD
Verified email at auth.gr - Homepage
Title
Cited by
Cited by
Year
Ambulatory pulse wave velocity is a stronger predictor of cardiovascular events and all-cause mortality than office and ambulatory blood pressure in hemodialysis patients
PA Sarafidis, C Loutradis, A Karpetas, G Tzanis, A Piperidou, ...
Hypertension 70 (1), 148-157, 2017
542017
An empirical study on sea water quality prediction
EV Hatzikos, G Tsoumakas, G Tzanis, N Bassiliades, I Vlahavas
Knowledge-Based Systems 21 (6), 471-478, 2008
472008
Evaluation of a novel brachial cuff-based oscillometric method for estimating central systolic pressure in hemodialysis patients
PA Sarafidis, PI Georgianos, A Karpetas, A Bikos, L Korelidou, M Tersi, ...
American Journal of Nephrology 40 (3), 242-250, 2014
462014
Biological Data Mining
G Tzanis, C Berberidis, I Vlahavas
Encyclopedia of Database Technologies and Applications, 35-41, 2005
28*2005
PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites
G Tzanis, I Kavakiotis, I Vlahavas
Expert Systems with Applications 38 (10), 12398-12408, 2011
272011
Improving the accuracy of classifiers for the prediction of translation initiation sites in genomic sequences
G Tzanis, C Berberidis, A Alexandridou, I Vlahavas
Panhellenic Conference on Informatics, 426-436, 2005
242005
Biological and medical big data mining
G Tzanis
International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 4 (1 …, 2014
192014
A novel data mining approach for the accurate prediction of translation initiation sites
G Tzanis, C Berberidis, I Vlahavas
International Symposium on Biological and Medical Data Analysis, 92-103, 2006
182006
Modern applications of machine learning
G Tzanis, I Katakis, I Partalas, I Vlahavas
Proceedings of the 1st Annual SEERC Doctoral Student Conference–DSC 1 (1), 1-10, 2006
172006
Prediction of translation initiation sites using classifier selection
G Tzanis, I Vlahavas
Hellenic Conference on Artificial Intelligence, 367-377, 2006
172006
MANTIS: a data mining methodology for effective translation initiation site prediction
G Tzanis, C Berberidis, I Vlahavas
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
162007
Blood pressure variability is increasing from the first to the second day of the interdialytic interval in hemodialysis patients
A Karpetas, C Loutradis, A Bikos, G Tzanis, G Koutroumpas, AA Lazaridis, ...
Journal of hypertension 35 (12), 2517-2526, 2017
142017
Mining for mutually exclusive items in transaction databases
G Tzanis, C Berberidis
International Journal of Data Warehousing and Mining (IJDWM) 3 (3), 45-59, 2007
142007
The association of interdialytic blood pressure variability with cardiovascular events and all-cause mortality in haemodialysis patients
PA Sarafidis, C Loutradis, A Karpetas, G Tzanis, A Bikos, V Raptis, ...
Nephrology Dialysis Transplantation 34 (3), 515-523, 2019
132019
Mining Frequent Patterns and Association Rules from Biological Data
I Kavakiotis, G Tzanis, I Vlahavas
92014
Polyadenylation site prediction using interesting emerging patterns
G Tzanis, I Kavakiotis, I Vlahavas
2008 8th IEEE International Conference on BioInformatics and BioEngineering, 1-7, 2008
92008
StackTIS: A stacked generalization approach for effective prediction of translation initiation sites
G Tzanis, C Berberidis, I Vlahavas
Computers in biology and medicine 42 (1), 61-69, 2012
82012
Nebivolol reduces short-term blood pressure variability more potently than irbesartan in patients with intradialytic hypertension
C Loutradis, A Bikos, V Raptis, Z Afkou, G Tzanis, N Pyrgidis, ...
Hypertension Research 42 (7), 1001-1010, 2019
62019
Machine learning and data mining in bioinformatics
G Tzanis, C Berberidis, I Vlahavas
Handbook of research on innovations in database technologies and …, 2009
62009
Accurate classification of SAGE data based on frequent patterns of gene expression
G Tzanis, I Vlahavas
19th IEEE International Conference on Tools with Artificial Intelligence …, 2007
62007
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Articles 1–20