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Most recent publications

C. Schenker, X. Wang and E. A. Ataman

PARAFAC2-based coupled Matrix and Tensor Factorizations

In ICASSP , 2023.
Proceedings, refereed
2023
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F. Becker, A. K. Smilde and E. A. Ataman

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

WIREs Data Mining and Knowledge Discovery (2023).
Journal Article
2023
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M. Fida, M. Roald, E. A. Ataman and A. Elmokashfi

Modeling Variation in Mobile Download Speed in Presence of Missing Samples

IEEE Transactions on Mobile Computing (2022): 1-16.
Journal Article
2022
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F. Becker, M. Nygård, J. Nygård, A. K. Smilde and E. A. Ataman

Phenotyping of cervical cancer risk groups via generalized low-rank models using medical questionnaires

In Norwegian AI Symposium. Springer, 2022.
Proceedings, refereed
2022
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News

29 May 2019
People

Four projects receive funding from IKT pluss

Projects

DeCipher

TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion

Department of Data Science and Knowledge Discovery

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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Export 53 results:
2022

Posters

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Revealing dynamic changes in metabolism through the analysis of postprandial metabolomics data: A simulation study

Metabolomics 2022, Valencia, Spain, 2022.
Status: Published
S. Yan, L. Li, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Characterizing postprandial metabolic response using multi-way data analysis

Norwegian Bioinformatics Days, 2022.
Status: Published

Talks, invited

E. A. Ataman

Constrained Multimodal Data Mining

In BigInsight Seminar, University of Oslo, Norway, 2022.
Status: Published
E. A. Ataman

Extracting Insights from Complex Data: Data Mining using Tensor Factorizations

In SILS (Swammerdam Institute for Life Sciences) Data Science Symposium, University of Amsterdam, Netherlands, 2022.
Status: Published
C. Schenker, M. Roald, X. Wang, J. E. Cohen and E. A. Ataman

Constrained Multi-Modal Data Mining Using Coupled Matrix and Tensor Factorizations

In SIAM Conference on Mathematics of Data Science, 2022.
Status: Published

Talks, contributed

E. A. Ataman

A Flexible Framework for Coupled Matrix/Tensor Factorizations

In TRICAP: Three-way methods In Chemistry And Psychology, 2022.
Status: Published
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

In NuGOweek 2022 in Spain, 2022.
Status: Published
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

In Nordic Metabolomics 2022, Copenhagen, Denmark, 2022.
Status: Published
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

In Norwegian Bioinformatics Days, Sundvolden, Norway, 2022.
Status: Published
M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen and E. A. Ataman

An AO-ADMM approach to constrained PARAFAC2

In Nordic AI Meet, 2022.
Status: Published