Carla Schenker

C. Schenker, X. Wang, D. Horner, M. A. Rasmussen and E. A. Ataman

PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints

IEEE Journal of Selected Topics in Signal Processing

C. Chatzis, C. Schenker, M. Pfeffer and E. A. Ataman

tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data

Data Mining and Knowledge Discovery

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

dCMF: Learning interpretable evolving patterns from temporal multiway data

33rd European Signal Processing Conference (EUSIPCO)

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

dCMF: Learning interpretable evolving patterns from temporal multiway data

Particles, Fluids and Patterns: Analytical and Computational Challenges - Intensive Trimester

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

A Time-aware tensor decomposition for concept evolution

94th Annual meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2024)

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)

C. Schenker

A Flexible Framework for Data Fusion Based on Coupled Matrix and Tensor Factorizations for Interpretable Pattern Discovery

Oslo Metropolitan University, Norway

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)

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

PARAFAC2-Based Coupled Matrix and Tensor Factorizations with Constraints

10th International Congress on Industrial and Applied Mathematics, ICIAM 2023, Tokyo, Japan

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

Fusing Dynamic and Static Data Using Parafac2 Based Coupled Matrix and Tensor Factorizations

SIAM Conference on Computational Science and Engineering

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

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

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

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

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. Cohen and E. A. Ataman

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization

SIAM Conference on Applied Linear Algebra (LA21)

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, 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

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

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

An Optimization Framework for RegularizedLinearly Coupled Matrix-Tensor Factorization

European Signal Processing Conference (EUSIPCO)

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

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