Evrim Ataman

F. Becker, A. K. Smilde and E. A. Ataman

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

WIREs Data Mining and Knowledge Discovery

C. Chatzis, M. Pfeffer, P. Lind and E. A. Ataman

A Time-aware Tensor Decomposition for Tracking Evolving Patterns

MLSP'23: IEEE International Workshop on Machine Learning for Signal Processing

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

PARAFAC2-based coupled Matrix and Tensor Factorizations

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

E. A. Ataman

Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations

Acceleration and Extrapolation Methods, ICERM, Brown University

E. A. Ataman

Extracting Insights from Complex Data: Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations

IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights

C. Chatzis, M. Pfeffer, P. Lind and E. A. Ataman

A Time-aware tensor decomposition for tracking evolving patterns

IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP 2023)

M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen and E. A. Ataman

An AO-ADMM approach to constraining PARAFAC2 on all modes

SIAM Journal on Mathematics of Data Science

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

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

BMC Bioinformatics

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

T. Adali, F. Kantar, M. A. B. S. Akhonda, S. Strother, V. D. Calhoun and E. A. Ataman

Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and Uniqueness

IEEE Signal Processing Magazine

E. A. Ataman, M. Roald, K. M. Hossain, V. D. Calhoun and T. Adali

Tracing Evolving Networks using Tensor Factorizations vs. ICA-based Approaches

Frontiers in Neuroscience

I. Lehmann, E. A. Ataman, T. Hasija, M. Akhonda, V. D. Calhoun, P. J. Schreier and T. Adali

Multi-task FMRI Data Fusion using IVA and PARAFAC2

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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

Norwegian AI Symposium: Nordic Artificial Intelligence Research and Development

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

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

C. Schenker, M. Roald, X. Wang, J. E. Cohen and E. A. Ataman

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

SIAM Conference on Mathematics of Data Science

E. A. Ataman

Constrained Multimodal Data Mining

BigInsight Seminar, University of Oslo, Norway

E. A. Ataman

Extracting Insights from Complex Data: Data Mining using Tensor Factorizations

SILS (Swammerdam Institute for Life Sciences) Data Science Symposium, University of Amsterdam, Netherlands

E. A. Ataman

A Flexible Framework for Coupled Matrix/Tensor Factorizations

TRICAP: Three-way methods In Chemistry And Psychology

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

Nordic AI Meet

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

NuGOweek 2022 in Spain

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

Nordic Metabolomics 2022, Copenhagen, Denmark

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

Norwegian Bioinformatics Days, Sundvolden, Norway

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

Characterizing postprandial metabolomics response using multi-way data analysis

Annual NORBIS Conference

M. Roald, C. Schenker, R. Bro, J. E. Cohen and E. A. Ataman

Fully Constrained PARAFAC2 with AO-ADMM

SIAM Conference on Parallel Processing for Scientific Computing

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

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

IEEE Journal of Selected Topics in Signal Processing

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

PARAFAC2 AO-ADMM: Constraints in all modes

2021 29th European Signal Processing Conference (EUSIPCO)

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

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization

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

Europt21, 18th Workshop on Advances in Continuous Optimization

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

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization

SIAM Conference on Applied Linear Algebra (LA21)

E. A. Ataman

From Data Mining using Tensor Factorizations to Multimodal Data Mining using Coupled Matrix/Tensor Factorizations

Nordic Probabilistic AI School (virtual)

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

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

Asilomar Conference on Signals, Systems, and Computers

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

SIAM Conference on Applications of Dynamical Systems

F. Becker

Generalized Low-Rank Models for Phenotyping Cervical Cancer Risk Groups using Medical Questionnaires

Stavanger, Norway

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

Tracing Dynamic Networks through Constrained Parafac2 Decomposition

SIAM Conference on Applied Linear Algebra (LA21), Virtual Conference

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

Cross-product penalized component analysis (X-CAN)

Chemometrics and Intelligent Laboratory Systems

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

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

An Optimization Framework for RegularizedLinearly Coupled Matrix-Tensor Factorization

European Signal Processing Conference (EUSIPCO)

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

Tracing Network Evolution Using The Parafac2 Model

2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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

Multilinear Models, Iterative Methods

Comprehensive Chemometrics (Second Edition)

E. A. Ataman

Multi Modal Data Mining using Coupled Matrix/Tensor Factorizations

Tufts University - TRIPODS Seminar (virtual)

E. A. Ataman, G. Gurdeniz, B. Khakimov, F. Savorani, S. K. Korndal, T. M. Larsen, S. B. Engelsen, A. Astrup and L. O. Dragsted

Biomarkers of individual foods, and separation of diets using untargeted LC-MS based plasma metabolomics in a randomized controlled trial

Molecular Nutrition & Food Research

E. A. Ataman, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun and T. Adali

Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data

Frontiers in Neuroscience

M. Fida, E. A. Ataman and A. Elmokashfi

Multiway Reliability Analysis of Mobile Broadband Networks

the Internet Measurement ConferenceProceedings of the Internet Measurement Conference on - IMC '19

E. A. Ataman, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun and T. Adali

Biomarker Discovery through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data

IEEE EMBC (Engineering in Medicine and Biology Conference), Berlin, Germany

E. A. Ataman

Unraveling Biomarkers through Multi-Modal Data Fusion

IEEE ISMICT (International Symposium on Medical Information and Communication Technology), Oslo, Norway

E. A. Ataman

Unraveling Interpretable Patterns through Data Fusion based on Coupled Matrix and Tensor Factorizations

KDD Workshop on Tensor Methods for Emerging Data Science Challenges, Anchorage, Alaska, USA

E. A. Ataman

Unraveling Interpretable Patterns through Data Fusion based on Coupled Matrix and Tensor Factorizations

AI and Tensor Factorizations for Physical, Chemical, and Biological Systems, Santa Fe, NM, USA

U. Wünsch, E. A. Ataman, B. P. Koch, K. Murphy, P. Schmitt-Kopplin and C. A. Stedmon

The molecular fingerprint of fluorescent natural organic matter offers insight into biogeochemical sources and diagenetic state

Analytical Chemistry

E. A. Ataman

Data Fusion based on Coupled Matrix and Tensor Factorizations

5th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2018), Seattle, USA

E. A. Ataman

Tutorial on Tensor Factorizations, Data Fusion & Applications

14th International Conference on Latent Variable Analysis and Signal Separation, Guildford, UK

E. A. Ataman

Structure-Revealing Data Fusion Models based on Coupled Matrix and Tensor Factorizations and Their Applications

Three‐way Methods in Chemistry and Psychology (TRICAP), New Mexico, USA

E. A. Ataman

Structure-Revealing Data Fusion Models based on Coupled Matrix and Tensor Factorizations and Their Applications

TRICAP: Three-way methods In Chemistry And Psychology

A. K. Smilde, I. Måge, T. Naes, T. Hankemeier, M. A. Lips, H. A. L. Kiers, E. A. Ataman and R. Bro

Common and distinct components in data fusion

Journal of Chemometrics

E. A. Ataman, G. Gürdeniz, F. Savorani, L. Hansen, A. Olsen, A. Tjønneland, L. O. Dragsted and R. Bro

Forecasting Chronic Diseases Using Data Fusion

Journal of Proteome Research

E. A. Ataman, Y. Levin-Schwartz, V. Calhoun and T. Adali

ACMTF for Fusion of Multi-Modal Neuroimaging Data and Identification of Biomarkers

EUSIPCO 2017: Proceedings of the 25th European Signal Processing Conference

E. A. Ataman, Y. Levin-Schwartz, V. D. Calhoun and T. Adal?

Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia

ISCAS 2017: Proceedings of IEEE International Symposium on Circuits and Systems