Modeling and Multiway Analysis of Chatroom Tensors. - Evrim Acar; Seyit Ahmet Çamtepe; Mukkai S. Krishnamoorthy; Bülent Yener (ISI, 2005)

Collective Sampling and Analysis of High Order Tensors for Chatroom Communications. - Evrim Acar; Seyit Ahmet Çamtepe; Bülent Yener (ISI, 2006)

Multiway analysis of epilepsy tensors. - Evrim Acar; Canan Aykut-Bingöl; Haluk Bingol; Rasmus Bro; Bülent Yener (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Multiway modeling and analysis in stem cell systems biology. - Bülent Yener; Evrim Acar; Phaedra Agius; Kristin P. Bennett; Scott L. Vandenberg; George E. Plopper (BMC Syst. Biol., 2008)

Understanding epilepsy seizure structure using tensor analysis. - Evrim Acar (2008)

Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda (ICDM Workshops, 2009)

Unsupervised Multiway Data Analysis: A Literature Survey. - Evrim Acar; Bülent Yener (IEEE Trans. Knowl. Data Eng., 2009)

Scalable Tensor Factorizations with Missing Data. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda; Morten Mørup (SDM, 2010)

Scalable Tensor Factorizations for Incomplete Data - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy; Morten Mørup (CoRR, 2010)

All-at-once Optimization for Coupled Matrix and Tensor Factorizations - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy (CoRR, 2011)

Temporal Link Prediction Using Matrix and Tensor Factorizations. - Daniel M. Dunlavy; Tamara G. Kolda; Evrim Acar (ACM Trans. Knowl. Discov. Data, 2011)

Link Prediction via Generalized Coupled Tensor Factorisation - Beyza Ermis; Evrim Acar; A. Taylan Cemgil (CoRR, 2012)

Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics. - Evrim Acar; Gozde Gürdeniz; Morten A. Rasmussen; Daniela Rago; Lars O. Dragsted; Rasmus Bro (Int. J. Knowl. Discov. Bioinform., 2012)

Structure-revealing data fusion model with applications in metabolomics. - Evrim Acar; Anders J. Lawaetz; Morten A. Rasmussen; Rasmus Bro (EMBC, 2013)

Optimal weight learning for Coupled Tensor Factorization with mixed divergences. - Umut Simsekli; Beyza Ermis; A. Taylan Cemgil; Evrim Acar (EUSIPCO, 2013)

Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading. - Evrim Acar; Gerard Lozanski; Metin N. Gurcan (Digital Pathology, 2013)

Generalized coupled symmetric tensor factorization for link prediction. - Beyza Ermis; Ali Taylan Cemgil; Evrim Acar (SIU, 2013)

A flexible modeling framework for coupled matrix and tensor factorizations. - Evrim Acar; Mathias Nilsson; Michael A. Saunders (EUSIPCO, 2014)

Incorporating higher dimensionality in joint decomposition of EEG and fMRI. - Wout Swinnen; Borbála Hunyadi; Evrim Acar; Sabine Van Huffel; Maarten De Vos (EUSIPCO, 2014)

Structure-Revealing Data Fusion. - Evrim Acar; Evangelos E. Papalexakis; Gozde Gürdeniz; Morten A. Rasmussen; Anders J. Lawaetz; Mathias Nilsson; Rasmus Bro (BMC Bioinform., 2014)

Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence. - Beyza Ermis; Yusuf Kenan Yilmaz; Ali Taylan Cemgil; Evrim Acar (CoRR, 2014)

Link prediction in heterogeneous data via generalized coupled tensor factorization. - Beyza Ermis; Evrim Acar; Ali Taylan Cemgil (Data Min. Knowl. Discov., 2015)

Data Fusion in Metabolomics Using Coupled Matrix and Tensor Factorizations. - Evrim Acar; Rasmus Bro; Age K. Smilde (Proc. IEEE, 2015)

Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). - Evrim Acar; Animashree Anandkumar; Lenore Mullin; Sebnem Rusitschka; Volker Tresp (Dagstuhl Reports, 2016)

ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers. - Evrim Acar; Yuri Levin-Schwartz; Vince D. Calhoun; Tülay Adali (EUSIPCO, 2017)

Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia. - Evrim Acar; Yuri Levin-Schwartz; Vince D. Calhoun; Tülay Adali (ISCAS, 2017)

Multiway Reliability Analysis of Mobile Broadband Networks. - Mah-Rukh Fida; Evrim Acar; Ahmed Elmokashfi (Internet Measurement Conference, 2019)

Cross-product Penalized Component Analysis (XCAN). - José Camacho 001; Evrim Acar; Morten A. Rasmussen; Rasmus Bro (CoRR, 2019)

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. - Carla Schenker; Jeremy E. Cohen; Evrim Acar (EUSIPCO, 2020)

Tracing Network Evolution Using The Parafac2 Model. - Marie Roald; Suchita Bhinge; Chunying Jia; Vince D. Calhoun; Tülay Adali; Evrim Acar (ICASSP, 2020)

Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions. - Justen Geddes; Gaute T. Einevoll; Evrim Acar; Alexander J. Stasik (Frontiers Appl. Math. Stat., 2020)

PARAFAC2 AO-ADMM: Constraints in all modes. - Marie Roald; Carla Schenker; Jeremy E. Cohen; Evrim Acar (EUSIPCO, 2021)

An AO-ADMM approach to constraining PARAFAC2 on all modes. - Marie Roald; Carla Schenker; Rasmus Bro; Jeremy E. Cohen; Evrim Acar (CoRR, 2021)

A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings. - Carla Schenker; Jeremy E. Cohen; Evrim Acar (IEEE J. Sel. Top. Signal Process., 2021)

Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. - Isabell Lehmann; Evrim Acar; Tanuj Hasija; Mohammad A. B. S. Akhonda; Vince D. Calhoun; Peter J. Schreier; Tülay Adali (ICASSP, 2022)

Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires. - Florian Becker; Mari Nygård; Jan Nygård; Age K. Smilde; Evrim Acar (NAIS, 2022)

Exploring dynamic metabolomics data with multiway data analysis: a simulation study. - Lu Li; Huub C. J. Hoefsloot; Albert A. de Graaf; Evrim Acar; Age K. Smilde (BMC Bioinform., 2022)

Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness. - Tülay Adali; Furkan Kantar; Mohammad Abu Baker Siddique Akhonda; Stephen C. Strother; Vince D. Calhoun; Evrim Acar (IEEE Signal Process. Mag., 2022)

An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. - Marie Roald; Carla Schenker; Vince D. Calhoun; Tülay Adali; Rasmus Bro; Jeremy E. Cohen; Evrim Acar (SIAM J. Math. Data Sci., 2022)

Parafac2-Based Coupled Matrix and Tensor Factorizations. - Carla Schenker; Xiulin Wang; Evrim Acar (ICASSP, 2023)

A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. - Christos Chatzis; Max Pfeffer; Pedro G. Lind; Evrim Acar (MLSP, 2023)

Unsupervised EHR-based phenotyping via matrix and tensor decompositions. - Florian Becker; Age K. Smilde; Evrim Acar (WIREs Data. Mining. Knowl. Discov., 2023)

PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints. - Carla Schenker; Xiulin Wang; David Horner; Morten A. Rasmussen; Evrim Acar (CoRR, 2024)

tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data. - Christos Chatzis; Carla Schenker; Max Pfeffer; Evrim Acar (CoRR, 2024)

Modeling Variation in Mobile Download Speed in Presence of Missing Samples. - Mah-Rukh Fida; Marie Roald; Evrim Acar; Ahmed Elmokashfi (IEEE Trans. Mob. Comput., 2024)

Analyzing postprandial metabolomics data using multiway models: a simulation study. - Lu Li; Shi Yan; Barbara M. Bakker; Huub C. J. Hoefsloot; Bo Chawes; David Horner; Morten A. Rasmussen; Age K. Smilde; Evrim Acar (BMC Bioinform., 2024)

dCMF: Learning interpretable evolving patterns from temporal multiway data. - Christos Chatzis; Carla Schenker; Jérémy E. Cohen; Evrim Acar (CoRR, 2025)