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Most recent publications

S. Yan, L. Li, D. Horner, P. Ebrahimi, B. Chawes, L. O. Dragsted, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Characterizing human postprandial metabolic response using multiway data analysis

bioRxiv (2023).
Journal Article
2023
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C. Chatzis, M. Pfeffer, P. Lind and E. A. Ataman

A Time-aware Tensor Decomposition for Tracking Evolving Patterns

In MLSP'23: IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 2023.
Proceedings, refereed
2023
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C. Schenker, X. Wang and E. A. Ataman

PARAFAC2-based coupled Matrix and Tensor Factorizations

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023.
Proceedings, refereed
2023
View
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, D. Horner, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

bioRxiv (2023).
Journal Article
2023
View

Projects

DeCipher

TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion

Background

PhD in Computer Science
Rensselaer Polytechnic Institute (Troy, NY)
August 2003 – May 2008
MS in Computer Science
Rensselaer Polytechnic Institute (Troy, NY)
August 2003 – December 2006
BS in Computer Engineering
Bogazici University (Istanbul, Turkey)
September 1999 – July 2003

Appointments

Associate Editor
SIAM Journal on Matrix Analysis and Applications
January 2019
Associate Editor
IEEE Transactions on Signal Processing
October 2019 – April 2022

Awards

Sapere Aude Young Elite Researcher
The Danish Council for Independent Research
February 2012

Students under supervision

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Departments

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Year published

Export 57 results:
2021

Talks, invited

C. Schenker, J. Cohen and E. A. Ataman

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization

In SIAM Conference on Applied Linear Algebra (LA21), 2021.
Status: Published
C. Schenker, J. E. Cohen and E. A. Ataman

A Flexible Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorizations based on the Alternating Direction Method of Multipliers

In Europt21, 18th Workshop on Advances in Continuous Optimization, 2021.
Status: Published

Talks, contributed

L. Li, H. Hoefsloot, A. A. de Graaf, E. A. Ataman and A. K. Smilde

Exploring dynamic metabolomics data with multiway data analysis: A simulation study

In Virtual conference. SIAM Conference on Applications of Dynamical Systems, 2021.
Status: Published
M. Roald, C. Schenker, J. E. Cohen and E. A. Ataman

Tracing Dynamic Networks through Constrained Parafac2 Decomposition

In SIAM Conference on Applied Linear Algebra (LA21), Virtual Conference. SIAM, 2021.
Status: Published
C. Schenker, M. Roald, J. E. Cohen and E. A. Ataman

A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings

In Asilomar Conference on Signals, Systems, and Computers, 2021.
Status: Published
2020

Journal articles

J. Camacho, E. A. Ataman, M. A. Rasmussen and R. Bro

Cross-product penalized component analysis (X-CAN)

Chemometrics and Intelligent Laboratory Systems 203 (2020): 104038.
Status: Published
J. Geddes, G. T. Einevoll, E. A. Ataman and A. J. Stasik

Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions

Frontiers in Applied Mathematics and Statistics 6 (2020).
Status: Published

Proceedings, refereed

M. Roald, S. Bhinge, C. Jia, V. Calhoun, T. Adali and E. A. Ataman

Tracing Network Evolution Using The Parafac2 Model

In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain: IEEE, 2020.
Status: Published
C. Schenker, J. E. Cohen and E. A. Ataman

An Optimization Framework for RegularizedLinearly Coupled Matrix-Tensor Factorization

In European Signal Processing Conference (EUSIPCO). IEEE, 2020.
Status: Published

Book chapters

G. Tomasi, E. A. Ataman and R. Bro

Multilinear Models, Iterative Methods

In Comprehensive Chemometrics (Second Edition), 267-304. Chemical and Biochemical Data Analysis. Elsevier, 2020.
Status: Published