Ioan Tabus
Zitiert von
Zitiert von
The compartmentalization of the cerebellum
K Herrup, B Kuemerle
Annual review of neuroscience 20 (1), 61-90, 1997
An efficient normalized maximum likelihood algorithm for DNA sequence compression
G Korodi, I Tabus
ACM Transactions on Information Systems (TOIS) 23 (1), 3-34, 2005
Pathway alterations during glioma progression revealed by reverse phase protein lysate arrays
R Jiang, C Mircean, I Shmulevich, D Cogdell, Y Jia, I Tabus, K Aldape, ...
Proteomics 6 (10), 2964-2971, 2006
On the parameterization of positive real sequences and MA parameter estimation
B Dumitrescu, I Tabus, P Stoica
IEEE Transactions on Signal Processing 49 (11), 2630-2639, 2001
DNA sequence compression using the normalized maximum likelihood model for discrete regression
I Tabus, G Korodi, J Rissanen
Data Compression Conference, 2003. Proceedings. DCC 2003, 253-262, 2003
Integrated proteomics and genomics analysis reveals a novel mesenchymal to epithelial reverting transition in leiomyosarcoma through regulation of slug
J Yang, JA Eddy, Y Pan, A Hategan, I Tabus, Y Wang, D Cogdell, ...
Molecular & Cellular Proteomics 9 (11), 2405-2413, 2010
A training framework for stack and Boolean filtering-fast optimal design procedures and robustness case study
I Tabus, D Petrescu, M Gabbouj
IEEE Transactions on Image Processing 5 (6), 809-826, 1996
Robust estimation of protein expression ratios with lysate microarray technology
C Mircean, I Shmulevich, D Cogdell, W Choi, Y Jia, I Tabus, SR Hamilton, ...
Bioinformatics 21 (9), 1935-1942, 2005
On the use of MDL principle in gene expression prediction
I Tabus, J Astola
EURASIP Journal on Applied Signal Processing 4, 297-303, 2001
Inference of gene regulatory networks based on a universal minimum description length
J Dougherty, I Tabus, J Astola
EURASIP Journal on Bioinformatics and Systems Biology 2008, 1-11, 2008
DNA sequence compression-Based on the normalized maximum likelihood model
G Korodi, J Rissanen, J Astola
IEEE Signal Processing Magazine 24 (1), 47-53, 2007
Greedy sparse RLS
B Dumitrescu, A Onose, P Helin, I Tabus
IEEE Transactions on Signal Processing 60 (5), 2194-2207, 2012
Normalized maximum likelihood model of order-1 for the compression of DNA sequences
G Korodi, I Tabus
2007 Data Compression Conference (DCC'07), 33-42, 2007
Analysis of signaling pathways in 90 cancer cell lines by protein lysate array
K Natarajan Mendes, D Nicorici, D Cogdell, I Tabus, O Yli-Harja, R Guerra, ...
Journal of proteome research 6 (7), 2753-2767, 2007
Using contexts and R–R interval estimation in lossless ECG compression
CD Giurcăneanu, I Tăbuş, Ş Mereuţă
Computer methods and programs in biomedicine 67 (3), 177-186, 2002
Context coding of depth map images under the piecewise-constant image model representation
I Tabus, I Schiopu, J Astola
IEEE Transactions on Image Processing 22 (11), 4195-4210, 2013
Classification and feature gene selection using the normalized maximum likelihood model for discrete regression
I Tabus, J Rissanen, J Astola
Signal Processing 83 (4), 713-727, 2003
Lossy compression of lenslet images from plenoptic cameras combining sparse predictive coding and JPEG 2000
I Tabus, P Helin, P Astola
2017 IEEE International Conference on Image Processing (ICIP), 4567-4571, 2017
Sparse modeling for lossless audio compression
F Ghido, I Tabus
IEEE Transactions on Audio, Speech, and Language Processing 21 (1), 14-28, 2012
Protein is compressible
A Hategan, I Tabus
Proceedings of the 6th Nordic Signal Processing Symposium, 2004. NORSIG 2004 …, 2004
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