Evrim Acar

60 papers A 2C 3Misc 3Journal 36Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
PARAFAC2-Based Coupled Matrix and Tensor Factorizations With Constraints.
IEEE J. Sel. Top. Signal Process.
Carla Schenker, Xiulin Wang, David Horner, Morten A. Rasmussen, Evrim Acar
2025 J jnl
Tensor and Coupled Decompositions: Interpretable pattern discovery in multiset and multimodal functional neuroimaging data.
IEEE Signal Process. Mag.
Morten Mørup, Evrim Acar, Tülay Adali
2025 — conf
dCMF: Learning Interpretable Evolving Patterns from Temporal Multiway Data.
EUSIPCO
Christos Chatzis, Carla Schenker, Jérémy E. Cohen, Evrim Acar
2025 J jnl
dCMF: Learning interpretable evolving patterns from temporal multiway data.
CoRR
Christos Chatzis, Carla Schenker, Jérémy E. Cohen, Evrim Acar
2025 J jnl
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data.
Data Min. Knowl. Discov.
Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar
2024 J jnl
Analyzing postprandial metabolomics data using multiway models: a simulation study.
BMC Bioinform.
Lu Li, Shi Yan, Barbara M. Bakker, Huub C. J. Hoefsloot, Bo Chawes, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar
2024 J jnl
Modeling Variation in Mobile Download Speed in Presence of Missing Samples.
IEEE Trans. Mob. Comput.
Mah-Rukh Fida, Marie Roald, Evrim Acar, Ahmed Elmokashfi
2024 J jnl
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints.
CoRR
Carla Schenker, Xiulin Wang, David Horner, Morten A. Rasmussen, Evrim Acar
2024 J jnl
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data.
CoRR
Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar
2023 — conf
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns.
MLSP
Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar
2023 J jnl
A Time-aware tensor decomposition for tracking evolving patterns.
CoRR
Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar
2023 Misc conf
Parafac2-Based Coupled Matrix and Tensor Factorizations.
ICASSP
Carla Schenker, Xiulin Wang, Evrim Acar
2023 J jnl
Unsupervised EHR-based phenotyping via matrix and tensor decompositions.
WIREs Data. Mining. Knowl. Discov.
Florian Becker, Age K. Smilde, Evrim Acar
2022 J jnl
An AO-ADMM Approach to Constraining PARAFAC2 on All Modes.
SIAM J. Math. Data Sci.
Marie Roald, Carla Schenker, Vince D. Calhoun, Tülay Adali, Rasmus Bro, Jeremy E. Cohen, Evrim Acar
2022 J jnl
Exploring dynamic metabolomics data with multiway data analysis: a simulation study.
BMC Bioinform.
Lu Li, Huub C. J. Hoefsloot, Albert A. de Graaf, Evrim Acar, Age K. Smilde
2022 Misc conf
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2.
ICASSP
Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali
2022 J jnl
PARAFAC2-based Coupled Matrix and Tensor Factorizations.
CoRR
Carla Schenker, Xiulin Wang, Evrim Acar
2022 — conf
Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires.
NAIS
Florian Becker, Mari Nygård, Jan Nygård, Age K. Smilde, Evrim Acar
2022 J jnl
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness.
IEEE Signal Process. Mag.
Tülay Adali, Furkan Kantar, Mohammad Abu Baker Siddique Akhonda, Stephen C. Strother, Vince D. Calhoun, Evrim Acar
2022 J jnl
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions.
CoRR
Florian Becker, Age K. Smilde, Evrim Acar
2021 J jnl
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings.
IEEE J. Sel. Top. Signal Process.
Carla Schenker, Jeremy E. Cohen, Evrim Acar
2021 J jnl
An AO-ADMM approach to constraining PARAFAC2 on all modes.
CoRR
Marie Roald, Carla Schenker, Rasmus Bro, Jeremy E. Cohen, Evrim Acar
2021 — conf
PARAFAC2 AO-ADMM: Constraints in all modes.
EUSIPCO
Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar
2021 J jnl
PARAFAC2 AO-ADMM: Constraints in all modes.
CoRR
Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar
2020 J jnl
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings.
CoRR
Carla Schenker, Jeremy E. Cohen, Evrim Acar
2020 — conf
An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization.
EUSIPCO
Carla Schenker, Jeremy E. Cohen, Evrim Acar
2020 J jnl
Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions.
Frontiers Appl. Math. Stat.
Justen Geddes, Gaute T. Einevoll, Evrim Acar, Alexander J. Stasik
2020 Misc conf
Tracing Network Evolution Using The Parafac2 Model.
ICASSP
Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar
2019 J jnl
Cross-product Penalized Component Analysis (XCAN).
CoRR
José Camacho, Evrim Acar, Morten A. Rasmussen, Rasmus Bro
2019 A conf
Multiway Reliability Analysis of Mobile Broadband Networks.
Internet Measurement Conference
Mah-Rukh Fida, Evrim Acar, Ahmed Elmokashfi
2019 J jnl
Tracing Network Evolution Using the PARAFAC2 Model.
CoRR
Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar
2018 J jnl
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152).
Dagstuhl Manifestos
Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp
2017 — conf
ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers.
EUSIPCO
Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali
2017 C conf
Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia.
ISCAS
Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali
2016 J jnl
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152).
Dagstuhl Reports
Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp
2015 J jnl
Data Fusion in Metabolomics Using Coupled Matrix and Tensor Factorizations.
Proc. IEEE
Evrim Acar, Rasmus Bro, Age K. Smilde
2015 J jnl
Link prediction in heterogeneous data via generalized coupled tensor factorization.
Data Min. Knowl. Discov.
Beyza Ermis, Evrim Acar, Ali Taylan Cemgil
2014 — conf
A flexible modeling framework for coupled matrix and tensor factorizations.
EUSIPCO
Evrim Acar, Mathias Nilsson, Michael A. Saunders
2014 — conf
Incorporating higher dimensionality in joint decomposition of EEG and fMRI.
EUSIPCO
Wout Swinnen, Borbála Hunyadi, Evrim Acar, Sabine Van Huffel, Maarten De Vos
2014 J jnl
Structure-Revealing Data Fusion.
BMC Bioinform.
Evrim Acar, Evangelos E. Papalexakis, Gozde Gürdeniz, Morten A. Rasmussen, Anders J. Lawaetz, Mathias Nilsson, Rasmus Bro
2014 J jnl
Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence.
CoRR
Beyza Ermis, Yusuf Kenan Yilmaz, Ali Taylan Cemgil, Evrim Acar
2013 — conf
Generalized coupled symmetric tensor factorization for link prediction.
SIU
Beyza Ermis, Ali Taylan Cemgil, Evrim Acar
2013 — conf
Optimal weight learning for Coupled Tensor Factorization with mixed divergences.
EUSIPCO
Umut Simsekli, Beyza Ermis, A. Taylan Cemgil, Evrim Acar
2013 — conf
Structure-revealing data fusion model with applications in metabolomics.
EMBC
Evrim Acar, Anders J. Lawaetz, Morten A. Rasmussen, Rasmus Bro
2013 — conf
Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading.
Digital Pathology
Evrim Acar, Gerard Lozanski, Metin N. Gurcan
2012 — conf
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics.
ICDM Workshops
Evrim Acar, Gozde Gürdeniz, Morten A. Rasmussen, Daniela Rago, Lars O. Dragsted, Rasmus Bro
2012 J jnl
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics.
Int. J. Knowl. Discov. Bioinform.
Evrim Acar, Gozde Gürdeniz, Morten A. Rasmussen, Daniela Rago, Lars O. Dragsted, Rasmus Bro
2012 J jnl
Link Prediction via Generalized Coupled Tensor Factorisation
CoRR
Beyza Ermis, Evrim Acar, A. Taylan Cemgil
2011 J jnl
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
CoRR
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy
2011 J jnl
Temporal Link Prediction Using Matrix and Tensor Factorizations.
ACM Trans. Knowl. Discov. Data
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
2010 J jnl
Scalable Tensor Factorizations for Incomplete Data
CoRR
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
2010 A conf
Scalable Tensor Factorizations with Missing Data.
SDM
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
2010 J jnl
Temporal Link Prediction using Matrix and Tensor Factorizations
CoRR
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
2009 — conf
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations.
ICDM Workshops
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
2009 J jnl
Unsupervised Multiway Data Analysis: A Literature Survey.
IEEE Trans. Knowl. Data Eng.
Evrim Acar, Bülent Yener
2008 J jnl
Multiway modeling and analysis in stem cell systems biology.
BMC Syst. Biol.
Bülent Yener, Evrim Acar, Phaedra Agius, Kristin P. Bennett, Scott L. Vandenberg, George E. Plopper
2008 — —
Understanding epilepsy seizure structure using tensor analysis.
Evrim Acar
2007 — conf
Multiway analysis of epilepsy tensors.
ISMB/ECCB (Supplement of Bioinformatics)
Evrim Acar, Canan Aykut-Bingöl, Haluk Bingol, Rasmus Bro, Bülent Yener
2006 C conf
Collective Sampling and Analysis of High Order Tensors for Chatroom Communications.
ISI
Evrim Acar, Seyit Ahmet Çamtepe, Bülent Yener
2005 C conf
Modeling and Multiway Analysis of Chatroom Tensors.
ISI
Evrim Acar, Seyit Ahmet Çamtepe, Mukkai S. Krishnamoorthy, Bülent Yener