Elena Tsiporkova
Elena Tsiporkova
Senior Technology Advisor, ICT & Software Engineering Group, Sirris
Verified email at
Cited by
Cited by
NMR-based characterization of metabolic alterations in hypertension using an adaptive, intelligent binning algorithm
T De Meyer, D Sinnaeve, B Van Gasse, E Tsiporkova, ER Rietzschel, ...
Analytical chemistry 80 (10), 3783-3790, 2008
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment
E Tsiporkova, V Boeva
Information Sciences 176 (18), 2673-2697, 2006
Conditioning in possibility theory with strict order norms
B De Baets, E Tsiporkova, R Mesiar
Fuzzy Sets and Systems 106 (2), 221-229, 1999
A fuzzy inclusion based approach to upper inverse images under fuzzy multivalued mappings
E Tsiporkova-Hristoskova, B De Baets, E Kerre
Fuzzy sets and systems 85 (1), 93-108, 1997
Gene Time Eχpression Warper: a tool for alignment, template matching and visualization of gene expression time series
J Criel, E Tsiporkova
Bioinformatics 22 (2), 251-252, 2006
Continuity of fuzzy multivalued mappings
E Tsiporkova, B De Baets, E Kerre
Fuzzy sets and systems 94 (3), 335-348, 1998
Merging microarray cell synchronization experiments through curve alignment
F Hermans, E Tsiporkova
Bioinformatics 23 (2), e64-e70, 2007
Two-pass imputation algorithm for missing value estimation in gene expression time series
E Tsiporkova, V Boeva
Journal of bioinformatics and computational biology 5 (05), 1005-1022, 2007
Convex combinations in terms of triangular norms: A characterization of idempotent, bisymmetrical and self-dual compensatory operators
B Moser, E Tsiporkova, EP Klement
Fuzzy Sets and Systems 104 (1), 97-108, 1999
Aggregation of compatibility and equality: a new class of similarity measures for fuzzy sets
E Tsiporkova, HJ Zimmermann
IPMU: information processing and management of uncertainty in knowledge†…, 1998
Predicting hourly energy consumption. Can you beat an autoregressive model
P Dagnely, T Ruette, T Tourwť, E Tsiporkova, C Verhelst
Proceeding of the 24th annual machine learning conference of belgium and the†…, 2015
A formal concept analysis approach to consensus clustering of multi-experiment expression data
A Hristoskova, V Boeva, E Tsiporkova
BMC bioinformatics 15, 1-16, 2014
Fusing time series expression data through hybrid aggregation and hierarchical merge
E Tsiporkova, V Boeva
Bioinformatics 24 (16), i63-i69, 2008
Nonparametric recursive aggregation process
E Tsiporkova, V Boeva
Kybernetika 40 (1), [51]-70, 2004
Dempster–Shafer theory framed in modal logic
E Tsiporkova, V Boeva, B De Baets
International journal of approximate reasoning 21 (2), 157-175, 1999
Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline?
P Dagnely, T Ruette, T Tourwť, E Tsiporkova, C Verhelst
Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop†…, 2015
A cell-cycle knowledge integration framework
E Antezana, E Tsiporkova, V Mironov, M Kuiper
Data Integration in the Life Sciences: Third International Workshop, DILS†…, 2006
A general framework for upper and lower possibilities and necessities
E Tsiporkova, B De Baets
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems†…, 1998
Analysis of multiple DNA microarray datasets
V Boeva, E Tsiporkova, E Kostadinova
Springer Handbook of Bio-/Neuroinformatics, 223-234, 2014
An Integrative DTW-based imputation method for gene expression time series data
E Kostadinova, V Boeva, L Boneva, E Tsiporkova
2012 6th IEEE International Conference Intelligent Systems, 258-263, 2012
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