I. Tabus

发表

Stability-based cluster analysis applied to microarray data

Ioan Tabus, Ilya Shmulevich, Wei Zhang, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Human Glioma Diagnosis from Gene Expression Data

K. Aldape, K. Hess, I. Shmulevich, 2003 .

Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics

J. Rissanen, J. Astola, I. Tabus, 2003 .

LOSSLESS CONTOUR COMPRESSION USING CHAIN-CODE REPRESENTATIONS AND CONTEXT TREE CODING

I. Tabus, I. Schiopu, 2013 .

Context Coding of Depth Map Images Under the Piecewise-Constant Image Model Representation

Jaakko Astola, Ioan Tabus, Ionut Schiopu, 2013, IEEE Transactions on Image Processing.

MDL SEGMENTATION AND LOSSLESS COMPRESSION OF DEPTH IMAGES

I. Tabus, I. Schiopu, 2011 .

Integrated Proteomics and Genomics Analysis Reveals a Novel Mesenchymal to Epithelial Reverting Transition in Leiomyosarcoma through Regulation of Slug*

James A. Eddy, N. Price, K. Hunt, 2010, Molecular & Cellular Proteomics.

Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle

C. Giurcaneanu, I. Tabus, G. Fuller, 2006 .

Chapter 4 : Nonlinear signal modelling and structure selection with applications to genomics

J. Rissanen, J. Astola, I. Tabus, 2005 .

Vrije Universiteit Brussel JPEG Pleno: Standardizing a coding framework and tools for plenoptic imaging modalities

I. Tabus, T. Ebrahimi, C. Pagliari, 2020 .

JPEG Pleno: a standard framework for representing and signaling plenoptic modalities

I. Tabus, T. Ebrahimi, Zhibo Chen, 2018, Optical Engineering + Applications.

Modern Signal Processing Methods in Passive Underwater Surveillance

J. Astola, I. Tabus, Petri Helin, 2013 .

Fast Iterative Gene Clustering Based on Information Theoretic Criteria for Selecting the Cluster Structure

J. Astola, C. Giurcaneanu, I. Tabus, 2004, J. Comput. Biol..

Gene feature selection

Jaakko Astola, Ioan Tabus, J. Astola, 2004 .

Pathway alterations during glioma progression revealed by reverse phase protein lysate arrays

Ioan Tabus, Ilya Shmulevich, Yu Jia, 2006, Proteomics.

Normalized Maximum Likelihood Models for Discrete Regression

I. Tabus, 2005 .

MDL Based Structure Selection of Union of Ellipse Models for Scaled and Smoothed Histological Images

I. Tabus, E. Sabo, J. Hukkanen, 2013 .

Nonlinear modeling of protein expressions in protein arrays

Jaakko Astola, Ioan Tabus, Jorma Rissanen, 2006, IEEE Transactions on Signal Processing.

Application of protein lossless compression for local similarity detection

I. Tabus, A. Hategan, 2006 .

Genomic Signal Processing

Jaakko Astola, Ioan Tabus, Edward R. Dougherty, 2003, IEEE Signal Processing Magazine.

Optimal Stack Filter Design with Symmetry Constraints

Moncef Gabbouj, D. Petrescu, Ioan Tabus, 1994 .

Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models

Emre Can Kaya, I. Tabus, 2022, 2206.01297.

Optimal Design of Boolean and Stack Filters and Their Application in Image Processing

Moncef Gabbouj, D. Petrescu, Ioan Tabus, 2001 .

Festschrift in honor of Jorma Rissanen on the occasion of his 75th birthday

Ioan Tabus, Petri Myllymäki, Peter Grünwald, 2008 .

91 FADS AND FALLACIES IN THE NAME OF SMALL-SAMPLE MICROARRAY CLASSIFICATION

Rabab K. Ward, Petar M. Djuric, Sergios Theodoridis, 2007 .

NORMALIZED MAXIMUM LIKELIHOOD MODELS WITH MEMORY FOR GENOMICS

J. Astola, I. Tabus, 2008 .

Coding of Still Pictures

Marco V. Bernardo, I. Tabus, C. Pagliari, 2020 .

Coding of Light Fields Using Disparity-Based Sparse Prediction

Ioan Tabus, Pekka Astola, I. Tabus, 2019, IEEE Access.

Dissection of Signaling Pathways in Fourteen Breast Cancer Cell Lines Using Reverse-Phase Protein Lysate Microarray

Ioan Tabus, Olli Yli-Harja, Andrea Hategan, 2006, Technology in cancer research & treatment.

Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting

Jaakko Astola, Ioan Tabus, Ciprian Doru Giurcaneanu, 2005, EURASIP J. Adv. Signal Process..

A classifier based on normalized maximum likelihood model for classes of Boolean regression models

Jaakko Astola, Ioan Tabus, Jorma Rissanen, 2002, 2002 11th European Signal Processing Conference.

On the Use of MDL Principle in Gene Expression Prediction

Jaakko Astola, Ioan Tabus, J. Astola, 2001, EURASIP J. Adv. Signal Process..

Robust estimation of protein expression ratios with lysate microarray technology

Ioan Tabus, Ilya Shmulevich, Wei Zhang, 2005, Bioinform..

Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis

Ioan Tabus, Ciprian Doru Giurcaneanu, I. Tabus, 2004, EURASIP J. Adv. Signal Process..

Classification and feature gene selection using the normalized maximum likelihood model for discrete regression

Jaakko Astola, Ioan Tabus, Jorma Rissanen, 2003, Signal Process..

DNA sequence compression using the normalized maximum likelihood model for discrete regression

Ioan Tabus, Jorma Rissanen, Gergely Korodi, 2003, Data Compression Conference, 2003. Proceedings. DCC 2003.

Molecular voting for glioma classification reflecting heterogeneity in the continuum of cancer progression.

Ioan Tabus, Ilya Shmulevich, Cristian Mircean, 2005, Oncology reports.

Optimal Coding of Quantized Laplacian Sources for Predictive Image Compression

Ioan Tabus, Ciprian Doru Giurcaneanu, I. Tabus, 2002, Journal of Mathematical Imaging and Vision.

An Application of the Piecewise Autoregressive Model in Lossless Audio Coding

I. Tabus, Yinghua Yang, C.D. Giurcaneanu, 2006, Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006.

Normalized maximum likelihood models for genomics

Jaakko Astola, Ioan Tabus, Jorma Rissanen, 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

An efficient normalized maximum likelihood algorithm for DNA sequence compression

Ioan Tabus, Gergely Korodi, I. Tabus, 2005, TOIS.

Fourth Workshop on Information Theoretic Methods in Science and Engineering

Ioan Tabus, Jorma Rissanen, Kenji Yamanishi, 2011 .

Algebraic and Combinatorial Methods for Reducing the Number of Variables of Partially Defined Discrete Functions

Jaakko Astola, Radomir S. Stankovic, Ioan Tabus, 2017, 2017 IEEE 47th International Symposium on Multiple-Valued Logic (ISMVL).

An Algebraic Approach to Reducing the Number of Variables of Incompletely Defined Discrete Functions

Jaakko Astola, Radomir S. Stankovic, Ioan Tabus, 2016, 2016 IEEE 46th International Symposium on Multiple-Valued Logic (ISMVL).

Lossy Depth Image Compression using Greedy Rate-Distortion Slope Optimization

Ioan Tabus, Ionut Schiopu, I. Tabus, 2013, IEEE Signal Processing Letters.

Lossy and near-lossless compression of depth images using segmentation into constrained regions

Ioan Tabus, Ionut Schiopu, I. Tabus, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Depth image lossless compression using mixtures of local predictors inside variability constrained regions

Ioan Tabus, Ionut Schiopu, I. Tabus, 2012, 2012 5th International Symposium on Communications, Control and Signal Processing.

Analysis of signaling pathways in 90 cancer cell lines by protein lysate array.

Ioan Tabus, Olli Yli-Harja, Wei Zhang, 2007, Journal of proteome research.

Quantization and similarity measure selection for discrimination of lymphoma subtypes under k-nearest neighbor classification

Ioan Tabus, Masahiro Yamaguchi, Jaakko Astola, 2004, SPIE BiOS.

Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality

I. Tabus, R. Sund, U. Häkkinen, 2012, Journal of Data Science.

Inference of Gene Regulatory Networks Based on a Universal Minimum Description Length

Jaakko Astola, Ioan Tabus, John Dougherty, 2008, EURASIP J. Bioinform. Syst. Biol..

Prediction Capabilities of Boolean and Stack Filters for Lossless Image Compression

Moncef Gabbouj, Ioan Tabus, Doina Petrescu, 1999, Multidimens. Syst. Signal Process..

A training framework for stack and Boolean filtering-fast optimal design procedures and robustness case study

Moncef Gabbouj, Ioan Tabus, Doina Petrescu, 1996, IEEE Trans. Image Process..

Edge Detection Based on Optimal Stack Filtering under Given Noise Distribution

Moncef Gabbouj, D. Petrescu, Ioan Tabus, 1995 .

Pothole detection and tracking in car video sequence

Ioan Tabus, Jukka Saarinen, Lauri Kettunen, 2016, 2016 39th International Conference on Telecommunications and Signal Processing (TSP).

JPEG Pleno light field coding technologies

Peter Schelkens, Ioan Tabus, Cristian Perra, 2019, Optical Engineering + Applications.

Jointly Encoding Protein Sequences and their Secondary Structure Information

I. Tabus, A. Hategan, I. Tabus, 2007, 2007 IEEE International Workshop on Genomic Signal Processing and Statistics.

Greedy Sparse RLS

Alexandru Onose, Bogdan Dumitrescu, Ioan Tabus, 2012, IEEE Transactions on Signal Processing.

Energy efficient wireless sensor networks using linear-programming optimization of the communication schedule

Yevgeni Koucheryavy, Jaakko Astola, Ioan Tabus, 2015, Journal of Communications and Networks.

Information Theoretic Modeling of High Precision Disparity Data for Lossy Compression and Object Segmentation

Ioan Tabus, Emre Can Kaya, I. Tabus, 2019, Entropy.

Precise outline matching criteria for target pose estimation and odometry from stereo video

Jaakko Astola, Jouni Mattila, Ioan Tabus, 2016, 2016 39th International Conference on Telecommunications and Signal Processing (TSP).

Segmentation of cell nuclei from histological images by ellipse fitting

Ioan Tabus, Edmond Sabo, Jenni Hukkanen, 2010, 2010 18th European Signal Processing Conference.

Integrated Proteomics and Genomics Analysis Reveals a Novel Mesenchymal to Epithelial Reverting Transition in Leiomyosarcoma through Regulation of Slug*

James A. Eddy, N. Price, K. Hunt, 2010, Molecular & Cellular Proteomics.

Minimum Description Length Sparse Modeling and Region Merging for Lossless Plenoptic Image Compression

Bhaskar D. Rao, Ioan Tabus, Petri Helin, 2017, IEEE Journal of Selected Topics in Signal Processing.

Haplotype Block Partitioning using a Normalized Maximum Likelihood Model

I. Tabus, I. Tabus, Yinghua Yang, 2007, 2007 IEEE International Workshop on Genomic Signal Processing and Statistics.