Evrim Acar

Orcid: 0000-0002-3737-292X

According to our database1, Evrim Acar authored at least 44 papers between 2005 and 2024.

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Bibliography

2024
Analyzing postprandial metabolomics data using multiway models: a simulation study.
BMC Bioinform., December, 2024

Modeling Variation in Mobile Download Speed in Presence of Missing Samples.
IEEE Trans. Mob. Comput., February, 2024

2023
Unsupervised EHR-based phenotyping via matrix and tensor decompositions.
WIREs Data. Mining. Knowl. Discov., 2023

A Time-Aware Tensor Decomposition for Tracking Evolving Patterns.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Parafac2-Based Coupled Matrix and Tensor Factorizations.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
An AO-ADMM Approach to Constraining PARAFAC2 on All Modes.
SIAM J. Math. Data Sci., September, 2022

Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness.
IEEE Signal Process. Mag., 2022

Exploring dynamic metabolomics data with multiway data analysis: a simulation study.
BMC Bioinform., 2022

Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

Multi-Task fMRI Data Fusion Using IVA and PARAFAC2.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings.
IEEE J. Sel. Top. Signal Process., 2021

An AO-ADMM approach to constraining PARAFAC2 on all modes.
CoRR, 2021

PARAFAC2 AO-ADMM: Constraints in all modes.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions.
Frontiers Appl. Math. Stat., 2020

Tracing Network Evolution Using The Parafac2 Model.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Cross-product Penalized Component Analysis (XCAN).
CoRR, 2019

Multiway Reliability Analysis of Mobile Broadband Networks.
Proceedings of the Internet Measurement Conference, 2019

2017
Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152).
Dagstuhl Reports, 2016

2015
Data Fusion in Metabolomics Using Coupled Matrix and Tensor Factorizations.
Proc. IEEE, 2015

Link prediction in heterogeneous data via generalized coupled tensor factorization.
Data Min. Knowl. Discov., 2015

2014
Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence.
CoRR, 2014

Structure-Revealing Data Fusion.
BMC Bioinform., 2014

Incorporating higher dimensionality in joint decomposition of EEG and fMRI.
Proceedings of the 22nd European Signal Processing Conference, 2014

A flexible modeling framework for coupled matrix and tensor factorizations.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Generalized coupled symmetric tensor factorization for link prediction.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

Optimal weight learning for Coupled Tensor Factorization with mixed divergences.
Proceedings of the 21st European Signal Processing Conference, 2013

Structure-revealing data fusion model with applications in metabolomics.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics.
Int. J. Knowl. Discov. Bioinform., 2012

Link Prediction via Generalized Coupled Tensor Factorisation
CoRR, 2012

2011
Temporal Link Prediction Using Matrix and Tensor Factorizations.
ACM Trans. Knowl. Discov. Data, 2011

All-at-once Optimization for Coupled Matrix and Tensor Factorizations
CoRR, 2011

2010
Scalable Tensor Factorizations for Incomplete Data
CoRR, 2010

Scalable Tensor Factorizations with Missing Data.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
Unsupervised Multiway Data Analysis: A Literature Survey.
IEEE Trans. Knowl. Data Eng., 2009

Link Prediction on Evolving Data Using Matrix and Tensor Factorizations.
Proceedings of the ICDM Workshops 2009, 2009

2008
Understanding epilepsy seizure structure using tensor analysis.
PhD thesis, 2008

Multiway modeling and analysis in stem cell systems biology.
BMC Syst. Biol., 2008

2007
Multiway analysis of epilepsy tensors.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006
Collective Sampling and Analysis of High Order Tensors for Chatroom Communications.
Proceedings of the Intelligence and Security Informatics, 2006

2005
Modeling and Multiway Analysis of Chatroom Tensors.
Proceedings of the Intelligence and Security Informatics, 2005


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