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2020 – today
- 2024
[j16]Lu Li, Shi Yan, Barbara M. Bakker, Huub C. J. Hoefsloot, Bo Chawes, David Horner, Morten A. Rasmussen
, Age K. Smilde, Evrim Acar:
Analyzing postprandial metabolomics data using multiway models: a simulation study. BMC Bioinform. 25(1): 94 (2024)- [j15]Mah-Rukh Fida, Marie Roald, Evrim Acar, Ahmed Elmokashfi:
Modeling Variation in Mobile Download Speed in Presence of Missing Samples. IEEE Trans. Mob. Comput. 23(2): 1200-1214 (2024) - [i16]Carla Schenker, Xiulin Wang, David Horner, Morten A. Rasmussen, Evrim Acar:
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints. CoRR abs/2406.12338 (2024) - [i15]Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar:
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data. CoRR abs/2407.01356 (2024) - 2023
- [j14]Florian Becker, Age K. Smilde, Evrim Acar:
Unsupervised EHR-based phenotyping via matrix and tensor decompositions. WIREs Data. Mining. Knowl. Discov. 13(4) (2023) - [c22]Carla Schenker, Xiulin Wang, Evrim Acar:
Parafac2-Based Coupled Matrix and Tensor Factorizations. ICASSP 2023: 1-5 - [c21]Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar:
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. MLSP 2023: 1-6 - [i14]Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar:
A Time-aware tensor decomposition for tracking evolving patterns. CoRR abs/2308.07126 (2023) - 2022
- [j13]Lu Li, Huub C. J. Hoefsloot, Albert A. de Graaf, Evrim Acar, Age K. Smilde:
Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinform. 23(1): 31 (2022) - [j12]Marie Roald, Carla Schenker, Vince D. Calhoun, Tülay Adali, Rasmus Bro, Jeremy E. Cohen, Evrim Acar:
An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. SIAM J. Math. Data Sci. 4(3): 1191-1222 (2022) - [j11]Tülay Adali, Furkan Kantar, Mohammad Abu Baker Siddique Akhonda, Stephen C. Strother, Vince D. Calhoun, Evrim Acar:
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness. IEEE Signal Process. Mag. 39(4): 8-24 (2022) - [c20]Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali:
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. ICASSP 2022: 1466-1470 - [c19]Florian Becker, Mari Nygård, Jan Nygård, Age K. Smilde, Evrim Acar:
Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires. NAIS 2022: 94-110 - [i13]Florian Becker, Age K. Smilde, Evrim Acar:
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions. CoRR abs/2209.00322 (2022) - [i12]Carla Schenker, Xiulin Wang, Evrim Acar:
PARAFAC2-based Coupled Matrix and Tensor Factorizations. CoRR abs/2210.13054 (2022) - 2021
- [j10]Carla Schenker, Jeremy E. Cohen, Evrim Acar:
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings. IEEE J. Sel. Top. Signal Process. 15(3): 506-521 (2021) - [c18]Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar:
PARAFAC2 AO-ADMM: Constraints in all modes. EUSIPCO 2021: 1040-1044 - [i11]Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar:
PARAFAC2 AO-ADMM: Constraints in all modes. CoRR abs/2102.02087 (2021) - [i10]Marie Roald, Carla Schenker, Rasmus Bro, Jeremy E. Cohen, Evrim Acar:
An AO-ADMM approach to constraining PARAFAC2 on all modes. CoRR abs/2110.01278 (2021) - 2020
- [j9]Justen Geddes, Gaute T. Einevoll, Evrim Acar, Alexander J. Stasik:
Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions. Frontiers Appl. Math. Stat. 6: 41 (2020) - [c17]Carla Schenker, Jeremy E. Cohen, Evrim Acar:
An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. EUSIPCO 2020: 985-989 - [c16]Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using The Parafac2 Model. ICASSP 2020: 1100-1104 - [i9]Carla Schenker, Jeremy E. Cohen, Evrim Acar:
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings. CoRR abs/2007.09605 (2020)
2010 – 2019
- 2019
- [c15]Mah-Rukh Fida, Evrim Acar, Ahmed Elmokashfi:
Multiway Reliability Analysis of Mobile Broadband Networks. Internet Measurement Conference 2019: 358-364 - [i8]José Camacho, Evrim Acar, Morten A. Rasmussen, Rasmus Bro:
Cross-product Penalized Component Analysis (XCAN). CoRR abs/1907.00032 (2019) - [i7]Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using the PARAFAC2 Model. CoRR abs/1911.02926 (2019) - 2018
- [j8]Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp:
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Manifestos 7(1): 52-68 (2018) - 2017
- [c14]Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers. EUSIPCO 2017: 643-647 - [c13]Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia. ISCAS 2017: 1-4 - 2016
- [i6]Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp:
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Reports 6(4): 57-79 (2016) - 2015
- [j7]Beyza Ermis, Evrim Acar, Ali Taylan Cemgil:
Link prediction in heterogeneous data via generalized coupled tensor factorization. Data Min. Knowl. Discov. 29(1): 203-236 (2015) - [j6]Evrim Acar, Rasmus Bro, Age K. Smilde:
Data Fusion in Metabolomics Using Coupled Matrix and Tensor Factorizations. Proc. IEEE 103(9): 1602-1620 (2015) - 2014
- [j5]Evrim Acar, Evangelos E. Papalexakis, Gozde Gürdeniz, Morten A. Rasmussen, Anders J. Lawaetz, Mathias Nilsson, Rasmus Bro:
Structure-Revealing Data Fusion. BMC Bioinform. 15: 239 (2014) - [c12]Evrim Acar, Mathias Nilsson, Michael A. Saunders:
A flexible modeling framework for coupled matrix and tensor factorizations. EUSIPCO 2014: 111-115 - [c11]Wout Swinnen, Borbála Hunyadi, Evrim Acar, Sabine Van Huffel, Maarten De Vos:
Incorporating higher dimensionality in joint decomposition of EEG and fMRI. EUSIPCO 2014: 121-125 - [i5]Beyza Ermis, Yusuf Kenan Yilmaz, Ali Taylan Cemgil, Evrim Acar:
Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence. CoRR abs/1409.8083 (2014) - 2013
- [c10]Evrim Acar, Anders J. Lawaetz, Morten A. Rasmussen, Rasmus Bro:
Structure-revealing data fusion model with applications in metabolomics. EMBC 2013: 6023-6026 - [c9]Umut Simsekli, Beyza Ermis, A. Taylan Cemgil, Evrim Acar:
Optimal weight learning for Coupled Tensor Factorization with mixed divergences. EUSIPCO 2013: 1-5 - [c8]Evrim Acar, Gerard Lozanski, Metin N. Gurcan:
Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading. Digital Pathology 2013: 867603 - [c7]Beyza Ermis, Ali Taylan Cemgil, Evrim Acar:
Generalized coupled symmetric tensor factorization for link prediction. SIU 2013: 1-4 - 2012
- [j4]Evrim Acar, Gozde Gürdeniz, Morten A. Rasmussen, Daniela Rago, Lars O. Dragsted, Rasmus Bro:
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics. Int. J. Knowl. Discov. Bioinform. 3(3): 22-43 (2012) - [c6]Evrim Acar, Gozde Gürdeniz, Morten A. Rasmussen, Daniela Rago, Lars O. Dragsted, Rasmus Bro:
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics. ICDM Workshops 2012: 1-8 - [i4]Beyza Ermis, Evrim Acar, A. Taylan Cemgil:
Link Prediction via Generalized Coupled Tensor Factorisation. CoRR abs/1208.6231 (2012) - 2011
- [j3]Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar:
Temporal Link Prediction Using Matrix and Tensor Factorizations. ACM Trans. Knowl. Discov. Data 5(2): 10:1-10:27 (2011) - [i3]Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy:
All-at-once Optimization for Coupled Matrix and Tensor Factorizations. CoRR abs/1105.3422 (2011) - 2010
- [c5]Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup:
Scalable Tensor Factorizations with Missing Data. SDM 2010: 701-712 - [i2]Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup:
Scalable Tensor Factorizations for Incomplete Data. CoRR abs/1005.2197 (2010) - [i1]Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar:
Temporal Link Prediction using Matrix and Tensor Factorizations. CoRR abs/1005.4006 (2010)
2000 – 2009
- 2009
- [j2]Evrim Acar, Bülent Yener:
Unsupervised Multiway Data Analysis: A Literature Survey. IEEE Trans. Knowl. Data Eng. 21(1): 6-20 (2009) - [c4]Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda:
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. ICDM Workshops 2009: 262-269 - 2008
- [b1]Evrim Acar:
Understanding epilepsy seizure structure using tensor analysis. Rensselaer Polytechnic Institute, USA, 2008 - [j1]Bülent Yener, Evrim Acar, Phaedra Agius, Kristin P. Bennett, Scott L. Vandenberg, George E. Plopper:
Multiway modeling and analysis in stem cell systems biology. BMC Syst. Biol. 2: 63 (2008) - 2007
- [c3]Evrim Acar, Canan Aykut-Bingöl, Haluk Bingol, Rasmus Bro, Bülent Yener:
Multiway analysis of epilepsy tensors. ISMB/ECCB (Supplement of Bioinformatics) 2007: 10-18 - 2006
- [c2]Evrim Acar, Seyit Ahmet Çamtepe, Bülent Yener:
Collective Sampling and Analysis of High Order Tensors for Chatroom Communications. ISI 2006: 213-224 - 2005
- [c1]Evrim Acar, Seyit Ahmet Çamtepe, Mukkai S. Krishnamoorthy, Bülent Yener:
Modeling and Multiway Analysis of Chatroom Tensors. ISI 2005: 256-268
Coauthor Index
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last updated on 2024-11-28 20:34 CET by the dblp team
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