Publications
International Journal Paper
13-02
Sorber L., Domanov I., Van Barel M., De Lathauwer L., “Exact Line and Plane Search for Tensor Optimization”, Computational Optimization and Applications, vol. 63, no. 1, Jan. 2016, pp. 121–142., (DOI 10.1007/s10589-015-9761-5) Lirias number : 463246
13-05
Sorensen M., De Lathauwer L., “New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors”, SIAM Journal on Matrix Analysis and Applications, vol. 36, no. 4, Oct. 2015, pp. 1381-1403 (DOI 10.1137/140964813) Lirias number: 503068.
13-36
Domanov I., De Lathauwer L., “Canonical polyadic decomposition of third-order tensors: reduction to generalized eigenvalue decomposition”, SIAM Journal on Matrix Analysis and Applications (SIMAX), vol. 35, no. 2, Apr.-May 2014, pp. 636-660. (DOI 10.1137/130916084) Lirias number: 393094
13-89
Hunyadi B., Tousseyn S., Mijovic B., Dupont P., Van Huffel S., Van Paesschen W., De Vos M., “ICA extracts epileptic sources from fMRI in EEG-negative patients : a retrospective validation study”, PloS ONE, vol. 8, no. 11, Nov. 2013, pp. 1-9. (DOI 10.1371/journal.pone.0078796) Lirias number: 416745.
13-143
Sorensen M., De Lathauwer L., “Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear rank-(L_r,n,L_r,n,1) terms — Part I: Uniqueness”, SIAM Journal on Matrix Analysis and Applications, vol. 36, no. 2, Apr. 2015, pp. 496 – 522. (DOI 10.1137/140956853) Lirias number : 501318
13-144
Sorensen M., Domanov I., De Lathauwer L., “Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear rank-(L_r,n,L_r,n,1) terms — Part II: Algorithms”, SIAM Journal on Matrix Analysis and Applications, vol. 36, no. 3, Jul. 2015, pp. 1015-1045. (DOI 10.1137/140956865), Lirias number: 463244.
13-177
Sorber L., Van Barel M., De Lathauwer L., “Structured data fusion”, IEEE Journal of Selected Topics in Signal Processing, vol.9, no.4, pp.586,600, June 2015 (DOI 10.1109/JSTSP.2015.2400415) Lirias number: 482995.
13-242
Sorensen M., De Lathauwer L., “Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach”, IEEE Transactions on Signal Processing. Vol. 64, no. 4, Jul. 2016, pp . 3693-3704 (DOI 10.1109/TSP.2016.2551686) Lirias number: 539723.
13-243
Vervliet N., Debals O., Sorber L., De Lathauwer L., “Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis”, Signal Processing Magazine, IEEE, vol. 31, no. 5, Sep. 2014, pp. 71–79. (DOI 10.1109/MSP.2014.2329429) Lirias number: 455978.
14-04
Hunyadi B., Camps D., Sorber L., Van Paesschen W., De Vos M., Van Huffel S., De Lathauwer L., “Block term decomposition for modelling epileptic seizures”, EURASIP Journal on Advances in Signal Processing, Special Issue on Recent Advances in Tensor Based Signal and Image Processing, vol. 2014, no. 139, Sep. 2014, pp. (DOI 10.1186/1687-6180-2014-139) Lirias number: 459961.
14-19
Cichocki A., Mandic D., Phan A.-H., Caiafa C., Zhou G., Zhao Q., De Lathauwer L., “Tensor Decompositions for Signal Processing Applications. From Two-way to Multiway Component Analysis”, IEEE Signal Processing Magazine, vol. 32, no. 2, Mar. 2015, pp. 145-163. (DOI 10.1109/MSP.2013.2297439) Lirias number: 440523.
14-102
Domanov I. and De Lathauwer L., “Generic uniqueness conditions for the canonical polyadic decomposition and INDSCAL”, SIAM Journal on Matrix Analysis and Applications (SIMAX), vol. 36, no. 4, Nov. 2015, pp. 1567-1589. (DOI 10.1137/140970276), Lirias number: 463247.
14-152
Domanov I., De Lathauwer L., “Canonical polyadic decomposition of third-order tensors: relaxed uniqueness conditions and algebraic algorithm”, Linear Algebra and its Applications, vol. 513, Jan. 2017, pp. 342-375., (DOI 10.1016/j.laa.2016.10.019) Lirias number: 554392.
14-153
Domanov I., De Lathauwer L., “Generic uniqueness of a structured matrix factorization and applications in blind source separation”, IEEE Journal of Selected Topics in Signal Processing. Vol. 10, No. 4, Jun. 2016, pp. 701-711. (DOI 10.1109/JSTSP.2016.2526971) Lirias number: 529318.
15-27
Matic V., Cherian P.J., Koolen N., Naulaers G., Swarte R.M., Govaert P., Van Huffel S., De Vos M., “Holistic approach for automated background EEG assessment in asphyxiated full-term infants”, Journal of neural engineering, vol. 11, no. 6, Oct. 2014, pp. 1-14. (DOI 10.1088/1741-2560/11/6/066007) Lirias number: 477336
15-44
Debals O., Van Barel M., De Lathauwer L., “Löwner-based Blind Signal Separation of Rational Functions with Applications”, IEEE Transactions in Signal Processing, vol. 64, no. 8, Apr. 2016, pp. 1909-1918. (DOI 10.1109/TSP.2015.2500179) Lirias number: 505541.
15-45
Hunyadi B., Tousseyn S., Dupont P., Van Huffel S., De Vos M., Van Paesschen W., “A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy”, Neuroimage, vol. 113, Jun. 2015, pp. 329-339. (DOI 10.1016/j.neuroimage.2015.03.011) Lirias number : 488740
15-59
Boussé M., Debals O., De Lathauwer L., “A Tensor-Based Method for Large-Scale Blind Source Separation using Segmentation’’, IEEE Transactions on Signal Processing, vol. 65, no. 2, Jan. 2017, pp. 346–358., Lirias number: 554595.
15-78
Vervliet N., De Lathauwer L., “A randomized block sampling approach to canonical polyadic decomposition of large-scale tensors”, IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 2, pp. 284-295. (DOI 10.1109/JSTSP.2015.2503260) Lirias number: 515914.
15-134
Van Huffel S., “Tensor decompositions in smart patient monitoring”, SIAM News, vol. 48, no. 7, Sep. 2015, 1 p., Lirias number: 505549.
15-149
Sorensen M., De Lathauwer L “ Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition – Part I: Model and Identifiability ”, IEEE Transactions on Signal Processing, vol. 65, no. 2, Jan. 2017, pp. 517-527. (DOI: 10.1109/TSP.2016.2614796) Lirias number: 550203
15-150
Sorensen M., De Lathauwer L “ Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition – Part II: Algorithm and Multirate Sampling”, IEEE Transactions on Signal Processing, vol. 65, no. 2, Jan. 2017, pp. 528-539. (DOI: 10.1109/TSP.2016.2614797) Lirias number: 550210
15-165
Zink R., Hunyadi B., Van Huffel S., De Vos M., “Tensor-Based Classification of Auditory Mobile BCI without Subject-Specific Calibration Phase”, Journal of Neural Engineering, vol. 13, no. 2, Feb. 2016, pp. 026005., (DOI 10.1088/1741-2560/13/2/026005) Lirias number: 525460.
16-37
Sorensen M. Van Eeghem F., De Lathauwer L., “Blind multichannel deconvolution and convolutive extensions of canonical polyadic and block term decompositions”, IEEE Transactions on signal processing, vol. 65, no. 15, Aug. 2017, pp. 4132-4145., Lirias number: 586165.
16-39
Van Eeghem F., Sorensen M., De Lathauwer L., “Tensor decompositions with several block-Hankel factors and application in blind system identification”, IEEE Transactions on Signal Processing, vol. 65, no. 15, Aug. 2017, pp. 4090-4101., Lirias number: 581304.
16-42
Hunyadi B., Dupont P., Van Paesschen W., Van Huffel S., “Tensor decompositions and Data Fusion in Epileptic EEG and fMRI Data”, WIREs Data mining and knowledge discovery, vol., Nov. 2016, pp. 1-15., (DOI 10.1002/widm.1197) Lirias number: 557374.
16-60
N. Bharath; D. M. Sima; N. Sauwen; U. Himmelreich; L. De Lathauwer; S. Van Huffel, “Non-Negative Canonical Polyadic Decomposition for Tissue Type Differentiation in Gliomas“, IEEE journal of biomedical and health informatics 21, 4 (July 2017), 1124–1132. (DOI 10.1109/JBHI.2016.2583539) Lirias number : 557787.
16-100
Van Eeghem F., De Lathauwer L., “Algorithms for canonical polyadic decomposition with block-circulant factors”, IEEE Signal Processing Letters, vol. 25, no. 6, Jun. 2018, pp. 798-802., Lirias number: 1643002.
16-109
Bousse M., Debals O., De Lathauwer L., “Tensor-based large-scale blind system identification using segmentation”, IEEE Transactions on Signal Processing, vol. 65, no. 21, Nov. 2017, pp. 5770-5784., Lirias number: 588416.
16-124
Zink, R., Hunyadi, B., Van Huffel, S., & De Vos, M. (2016). “Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks”. Journal of Neural Engineering, 13(4), 046017. (DOI: 10.1088/1741-2560/13/4/046017) Lirias number: 545090.
16-197
Domanov I., Stegeman A., De Lathauwer L., “On the largest multilinear singular values of higher-order tensors”, SIAM Journal on Matrix Analysis and Applications, vol. 38, no. 4, Nov. 2017, pp. 1434-1453., Lirias number: 588422.
17-01
Bousse M., Vervliet N., Domanov I., Debals O., De Lathauwer L., “Linear Systems with a Canonical Polyadic Decomposition Constrained Solution: Algorithms and Applications”, Numerical Linear Algebra with Applications, Special Issue on Matrix Equations and Tensor Techniques, vol. 25, no. 6, Aug. 2018, pp. 1-18., Lirias number: 2337562.
17-02
Gong X., Lin Q., Cong F., De Lathauwer L., “Double coupled canonical polyadic decomposition for joint blind source separation”, IEEE Transactions on Signal Processing, vol. 66, no. 13, Jul. 2018, pp. 3475-3490., Lirias number: 1662036.
17-04
Ion-Margineanu A., Van Cauter S., Sima D., Maes F., Sunaert S., Himmelreich U., Van Huffel S., “Classifying glioblastoma multiforme follow-up progressive vs. responsive forms using multi-parametric MRI features”, Frontiers in Neuroscience, Brain Imaging Methods, vol. 10, Jan. 2017, pp. 615., Lirias number: 568649.
17-42
Debals O., Van Barel M., De Lathauwer L., “Non-negative Matrix Factorization using Non-negative Polynomial Approximations”, IEEE Signal Processing Letters, vol. 24, no. 7, Jul. 2017, pp. 948-952., Lirias number: 586179.
17-73
Bharath H.N., Debals O., Sima D.M., Himmelreich U., De Lathauwer L., Van Huffel S., “Tensor based method for residual water suppression in 1H magnetic resonance spectroscopic imaging. ”, Accepted for publication in IEEE Transactions on Biomedical Engineering, 2018. DOI: 10.1109/TBME.2018.2850911
17-76
Stamile C., Kocevar G., Cotton F., Maes F., Sappey-Marinier D., Van Huffel S., “Multi-parametric nonnegative matrix factorization for longitudinal variations detection in white-matter fiber bundles”, IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 5, sep. 2017, pp. 1393-1402., Lirias number: 569996.
17-119
Govaerts G., Vandenberk B., Willems R., Van Huffel S., “Automatic detection of T wave alternans using tensor decompositions in multilead ECG signals”, Physiological Measurement, vol. 38, no. 8, Aug. 2017, pp. 1513-1528., Lirias number: 588784.
17-122
Hunyadi B., Siekierska A., Sourbron J., Copmans D., de Witte P.A.M., “Automated analysis of brain activity for seizure detection in zebrafish models of epilepsy”, Journal of Neuroscience Methods, vol. 287, Aug. 2017, pp. 13-24., Lirias number: 593437.
17-128
Van Eeghem F., Debals O., Vervliet N., De Lathauwer L., “Coupled and incomplete tensors in blind system identification”, IEEE Transactions on Signal Processing, vol. 66, no. 23, pp. 6137 – 6147, Oct. 2018, DOI: 10.1109/TSP.2018.2873545. Lirias number: x.
17-130
Sorensen M., Domanov I., De Lathauwer L., “Coupled canonical polyadic decompositions and multiple shift-invariance in array processing“, IEEE Transactions on Signal Processing, vol. 66, no. 14, Jul. 2018, pp. 3665-3680., Lirias number: 1981051.
17-140
De Wel O., Lavanga M., Caicedo Dorado A., Jansen K., Dereymaeker A., Naulaers G., Van Huffel S., “Complexity Analysis of Neonatal EEG Using Multiscale Entropy: Applications in Brain Maturation and Sleep Stage Classification”, Entropy, vol. 19, 516, 2017, pp. 1-12., Lirias number: 593887.
17-141
Rodriguez Aldana Y., Hunyadi B., Maranon Reyes E. J., Rodriguez Rodriguez V., Van Huffel S., “Non-convulsive epileptic seizures detection in scalp EEG using multiway data analysis“, IEEE Journal of Biomedical and Health Informatics, Vol. 23, issue 2, March 2019, pp. 660-671. Lirias number: 2313376. DOI 10.1109/JBHI.2018.2829877
17-184
Dereymaeker A., Matic V., Vervisch J., Cherian P.J., Ansari A.H., De Wel O., Govaert P., De Vos M., Van Huffel S., Naulaers G., Jansen K., “Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome : a pilot study”, Pediatrics and Neonatology, vol. *, no. *, 2018, pp. 1-9 (online)., Lirias number: 1981101.DOI
18-11
N. Vervliet and L. De Lathauwer. “Numerical optimization based algorithms for data fusion” Data Fusion Methodology and Applications. Ed. by M. Cocchi. Accepted. Elsevier, 2018., Lirias number: 623147
18-61
Billiet L., Swinnen T., de Vlam K., Westhovens R., Van Huffel S., “Recognition of Physical Activities from a Single Arm-worn Accelerometer: a Multiway Approach”, Informatics, Special Issue on Sensor-Based Activity Recognition and Interaction, vol. 5, no. 2, Apr. 2018, pp. 20., Lirias number: 621808.
18-67
Hunyadi B., Woolrich M., Quinn A., Vidaurre D., De Vos M., “A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates”, NeuroImage, 2018 accepted (https://doi.org/10.1016/j.neuroimage.2018.09.082)
18-121
Gong X.-F., Lin Q.-H., Cong F.-Y., De Lathauwer L., “Double Coupled Canonical Polyadic Decomposition of Third-Order Tensors: Algebraic Algorithm and Relaxed Uniqueness Conditions”, Internal Report 18-121, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018. Accepted for publication in Signal Processing: Image Communication., Lirias number: 2320694.
18-126
Schotte C., Cleeren E., Karolien G., Hunyadi B., Buggenhout S., Van Laere K. Van Paesschen W. “Development of temporal lobe epilepsy during maintenance electroconvulsive therapy: a case of human kindling?” Epilepsia Open, accepted.
18-135
Padhy S., Goovaerts G., Boussé M., De Lathauwer L., Van Huffel S., “The Power of Tensor-Based Approaches in Cardiac Applications”, in Biomedical Signal Processing – Advances in Theory, Algorithms and applications, (Naik Ganesh R., ed.), Springer Verlag GmbH, 2018, pp. 1-34., Lirias number: 2335640.
19-48
Stamile C., Cotton F., Sappey-Marinier D., Van Huffel S., “Constrained tensor decomposition for longitudinal analysis of diffusion imaging data“, in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 4, Apr. 2020, pp. 1137-1148., Lirias number: 2850479.
International Conference Paper
14-35
Sorensen M., De Lathauwer L., “Multidimensional ESPRIT: A Coupled Canonical Polyadic Decomposition Approach”, in Proc. of the Eighth IEEE Sensor Array and Multichannel Signal Processing Workshop, A Coruna, Spain, Jun. 2014, 4 p. Lirias number: 457675.
14-49
Swinnen W., Hunyadi B., Acar E., Van Huffel S., De Vos M., “Incorporating Higher Dimensionality in Joint Decomposition of EEG and fMRI”, in Proc. of the European Signal Processing Conference (EUSIPCO 2014), Lisbon, Portugal, Sep. 2014, pp. 1-5. Lirias number: 463541.
14-72
Hunyadi B., Tousseyn S., Dupont P., Van Huffel S., Van Paesschen W., De Vos M., “Automatic selection of epileptic independent fMRI components”, in Proc. of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2014), Chicago, United States, Aug. 2014, pp. 3853 – 3856. Lirias number: 466667.
14-146
Goovaerts G., Varon C., Vandenberk B., Willems R., Van Huffel S., “Tensor-based Detection of T Wave Alternans in Multilead ECG Signals”, in Proc. of the 41st Annual Computing in Cardiology (CinC), Cambridge, USA, Sep. 2014, pp. 185-188. Lirias number: 463535.
14-167
Debals O., Van Barel M., De Lathauwer L., “Blind Signal Separation of Rational Functions using Löwner-based Tensorization”, in Proc. of the International Conference on Acoustics, Speech, Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015, pp. 4145-4149. Lirias number: 481517.
15-07
Boussé M., Debals O., De Lathauwer L., “A novel deterministic method for large-scale blind source separation”, in Proceedings 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, Sep. 2015, pp. 1935-1939. Lirias number : 501561.
15-20
Zink R., Hunyadi B., Van Huffel S., De Vos M., “Exploring CPD based unsupervised classification for auditory BCI with mobile EEG.”, in Proc. of the Neural Engineering, 2015 7th International IEEE/EMBS Conference on (NER), Montpellier, France, Apr. 2015, pp. 53 – 56. Lirias number: 488731.
15-54
Debals O., De Lathauwer L., “Stochastic and Deterministic Tensorization for Blind Signal Separation”, in Latent Variable Analysis and Signal Separation, (Vincent E., Yeredor A., Koldovsky Z., and Tichavsky P., eds.), 12th International Conference on Latent Variable Analysis and Signal Separation, vol. 9237 of Lecture Notes in Computer Science, Springer International Publishing, 2015, pp. 3–13. (DOI 10.1007/978-3-319-22482-4-1) Lirias number: 503082.
15-92
Hunyadi B., De Vos M., Van Paesschen W., Van Huffel S., “Exploring the epileptic network with parallel ICA of interictal EEG-fMRI”, in Proc. of the 22nd European Signal Processing Conference 2015 (EUSIPCO), Nice, France, Sep. 2015, pp. 429-433. Lirias number: 503495
15-94
Zink R., Hunyadi B., Van Huffel S., De Vos M., “Classifying the Auditory P300 using mobile EEG recordings without calibration phase.”, in Proc. of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE (EMBS), Milan, Italy, Aug. 2015, pp. 1777 – 1780., Lirias number: 503096.
15-95
Bharath H.N., Sima D.M., Sauwen N., Himmelreich U., De Lathauwer L., Van Huffel S., “Tensor Based Tumor Tissue Type Differentiation Using Magnetic Resonance Spectroscopic Imaging”, in Proc. of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (EMBC), Milan, Italy, Aug. 2015, pp. 7003-7006. Lirias number: 503100.
15-146
Dreesen P., Goossens T., Ishteva M., De Lathauwer L., Schoukens J., “Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition”, in Latent Variable Analysis and Signal Separation, (Vincent E., Yeredor A., Koldovsky Z., and Tichavsky P., eds.), Proc. of the 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), vol. 9237 of Lecture Notes in Computer Science (LNCS), Springer International Publishing Switzerland, 2015, pp. 14–21., Lirias number: 509163.
15-171
Gong X., Lin Q., Debals O., Vervliet N., De Lathauwer L., “Coupled rank-(L_m, L_n, .) block term decomposition by coupled block simultaneous generalized Schur decomposition”, in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2016), Shanghai, China, Mar. 2016, pp. 2554-2558. Lirias number: 527763.
15-204
Goovaerts G., Vandenberk B., Willems R., Van Huffel S., “Tensor-based detection of T wave alternans using ECG”, in Proc. of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE (EMBC), Milan, Italy, Aug. 2015, pp. 6991-6994. Lirias number: 526438.
15-205
Goovaerts G., De Wel O., Vandenberk B., Willems R., Van Huffel S., “Detection of Irregular Heartbeats using tensors”, in Proc. of the 42nd annual Conference of Computing in Cardiology (CinC 2015), Nice, France, Sep. 2015, pp. 573-576. Lirias number: 516000.
16-38
Boussé M., Debals O., De Lathauwer L., “A tensor-based method for large-scale blind system identification using segmentation’’, in Proceedings of the 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, Aug.29-Sept.2, 2016, pp. 2015-2019. Lirias number : 542800
16-41
Hunyadi B., Van Paesschen W., De Vos M., Van Huffel S., “Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity“, in Proc. of the European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, Aug. 29-Sept.2, 2016, pp. 240-244. Lirias number 550216.
16-61
Bharath H.N., Sauwen N., Sima D.M., Himmelreich U., De Lathauwer L., Van Huffel S., “Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas”, in Proceedings 24rd European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, Aug.29 – Sep. 02. 2016. Lirias number : 557794.
16-63
Sorensen M., De Lathauwer L., “Shift Invariance, Incomplete Arrays and Coupled CPD: a Case Study”, in Proc. of the Ninth IEEE Sensor Array and Multichannnel Workshop (SAM 2016), Rio de Janeiro, Brazil, Jul. 2016, (DOI: 10.1109/SAM.2016.7569730), Lirias number: 553910.
16-82
Stamile C., Cotton F., Maes F., Sappey-Marinier D., Van Huffel S., “White matter Fiber-Bundle Analysis Using Non-Negative Tensor Factorization”, in Lecture Notes in Computer Science, Proc. ICIAR 2016, vol. 9730, 2016, pp. 650-657., Lirias number: 539753.
16-143
Zink R., Hunyadi B., Van Huffel S., De Vos M., “Alpha and low-beta oscillatory patterns extracted with Canonical Polyadic Decomposition relate to LDA classifier performance in real-life Mobile EEG”, in Proc. of the 8th International Workshop on Biosignal Interpretation (BSI2016), Osaka, Japan, Nov. 2016., Lirias number: 548762.
16-144
Zink R., Baptist A., Bertrand A., Van Hufffel S., De Vos M., “Online detection of auditory attention in a neurofeedback application”, Internal Report 16-144, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2016. Accepted for publication in 8th International Workshop on Biosignal Interpretation (BSI2016)., Lirias number: 548765.
16-167
Van Eeghem F., De Lathauwer L., “Second-order tensor-based convolutive ICA: deconvolution versus tensorization”, in Proc. of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), New Orleans, United States of America, Mar. 2017, pp. 2252-2256., Lirias number: 566912.
16-173
Vervliet N., Debals O., De Lathauwer L., “Tensorlab 3.0 — Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization”, in Proc. of the 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2016, pp. 1733–1738., Lirias number: 577435.
17-20
Boussé M., Goovaerts G., Vervliet N., Debals O., Van Huffel S., De Lathauwer L., “Irregular Heartbeat Classification Using Kronecker Product Equations’’, in Proc. of the 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC’17), Jeju Island, South Korea, Jul. 2017, pp. 438-441., Lirias number: 581804.
17-39
Van Eyndhoven S., Hunyadi B., De Lathauwer L., Van Huffel S., “Flexible Fusion of Electroencephalography and Functional Magnetic Resonance Imaging: Revealing Neural-Hemodynamic Coupling Through Structured Matrix-Tensor Factorization”, in Proc. of the 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, Aug. 2017, pp. 26-30., Lirias number: 588429.
17-41
Bousse M., Vervliet N., Debals O., De Lathauwer L., “Face Recognition as a Kronecker Product Equation“, in Proc. of the IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, Dutch Antilles, Dec. 2017, pp. 276-280., Lirias number: 595774.
17-44
Vandecappelle M., Vervliet N., De Lathauwer L., “Nonlinear Least Squares Updating of the Canonical Polyadic Decomposition”, in Proc. of the 25th European Signal Processing Conference (EUSIPCO17), Kos, Greece, Mar. 2017, pp. 693-697., Lirias number: 586187
17-70
Zink R., Hunyadi B., De Vos M., Van Huffel S.“Data-Driven Clustering of P300 EEG Data Using Coupled Tensor Decompositions”, In Proc. of the International Scientific Conference on Information Technology and Data Related Research, Belgrade, Serbia, Apr. 2017, pp. 9-18., Lirias number: 580102.
17-77
Stamile C., Cotton F., Sappey-Marinier D., Van Huffel S., “Longitudinal Neuroimaging analysis using non-negative matrix factorization”, in The 12th International Conference on Signal Image Technology & Internet Systems (SITIS), 2016, pp. 55-61., Lirias number: 580211.
17-78
Marzullo A., Stamile C., Terracina G., Calimeri F., Van Huffel S., “A tensor-based mutation operator for neuroevolution of augmenting topologies (NEAT)”, in IEEE Congress on Evolutionary Computation (CEC) 2017, Donostia, Spain, Jun. 2017, pp. 681-687., Lirias number: 579763.
17-110
Bousse M., De Lathauwer L., “Nonlinear Least Squares Algorithm for Canonical Polyadic Decomposition Using Low-Rank Weights”, in Proc. of the IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, Dutch Antilles, Dec. 2017, pp. 39-43., Lirias number: 595771.
17-125
Rodriguez Aldana Y., Hunyadi B., Maranon Reyes E.J, Rodriguez Rodriguez V., Van Huffel S., “Nonconvulsive Epileptic Seizures Detection Using Multiway Data Analysis”, in Proc. of the 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, Aug. 2017., Lirias number: 593438.
17-164
Vandecappelle M., Bousse M., Vervliet N., De Lathauwer L., “CPD Updating Using Low-rank Weights”, in Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Canada, Apr. 2018, pp. 6368-6372., Lirias number: 1662057.
17-171
De Lathauwer L., Kofidis E., “Coupled Matrix-Tensor Factorizations — The Case of Partially Shared Factors”, in Proc. of the 51st Asilomar Conference on Signals, Systems, and Computers (Asilomar 2018), Pacific Grove, California, Nov. 2018, pp. 711-715., Lirias number: 609370.
18-24
Olikier G., Absil P.-A., De Lathauwer L., “Variable projection applied to block term decomposition of higher-order tensors”, in Proc. of the 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), Surrey, UK, Jul. 2018, pp. 139-148., Lirias number: 1662038.
18-69
Vandecappelle M., Bousse M., Vervliet N., Vendeville M., Zink R., De Lathauwer L., “Tensorlab 4.0 — A preview”, in Proc. of the 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), Guildford, United Kingdom, Jul. 2018, pp. 1–2., Lirias number: 4809544.
18-88
Bousse M., De Lathauwer L., “Large-Scale Autoregressive System Identification Using Kronecker Product Equations”, Internal Report 18-88, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018. Accepted for publication in Proceedings of the 2018 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018, Anaheim, CA, USA)., Lirias number: 2315983.
18-93
Van Eyndhoven S., Bousse M., Hunyadi B., De Lathauwer L., Van Huffel S., “Single-channel EEG classification by multi-channel tensor subspace learning and regression”, Internal Report 18-93, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018. Accepted for publication in Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), September, Aalborg, Denmark)., Lirias number: 2124979.
Contribution to books
16-101
Hunyadi B., Van Huffel S., De Vos M., The power of tensor decompositions in biomedical applications, in Chapter 3 Machine Learning for Healthcare Technologies, (Clifton D. A., ed.), The Institution of Engineering and Technology (IET) (London, UK), 2016, Lirias number: 542643.
17-179
Bharath H.N., Colleman S., Sima D.M., Van Huffel S., “Tumor segmentation from multimodal MRI using random forest with superpixel and tensor based feature extraction”, in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, ( Crimi A., Bakas S., Kuijf H., Menze B., and Reyes M. , eds.), vol. 10670 of mph{ Lecture Notes in Computer Science}, Springer, Cham, 2017, pp. 463-473
18-11
Vervliet N., De Lathauwer L., “Numerical optimization based algorithms for data fusion”, in Data Fusion Methodology and Applications (Cocchi, M., ed.), Elsevier, 2018. Lirias number: 623147.
Internal Report
13-240
Sorensen M., De Lathauwer L., “Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition”, Internal Report 13-240, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2013.
13-241
Sorensen M., De Lathauwer L., “Coupled tensor decompositions in array processing”, Internal Report 13-241, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2013.,
15-58
Markovsky I., Debals O., De Lathauwer L., “Sum-of-Exponentials Modeling and Common Dynamics Estimation Using Tensorlab”, Internal Report 15-58, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2015., Lirias number: 515907.
15-105
Smyth P., De Lathauwer L. “Tensors from graphs with applications to clustering”, Internal Report 15-105, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2015.
15-123
Lee G., De Lathauwer L., “Efficient Update and Downdate of Multilinear Singular Value Decomposition”, Internal Report 15-123, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2015.
16-68
Debals O., Van Eeghem F., Vervliet N., De Lathauwer L., “Tensorlab Demos – Release 3.0”, Internal Report 16-68, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2016.
16-96
Vervliet N., Debals O., Sorber L., Van Barel M., De Lathauwer L., “Tensorlab 3.0”, Internal Report 16-96, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
16-150
Debals O., Sohail M., De Lathauwer L., “Analytical Multi-Modulus Algorithms Based on Coupled Canonical Polyadic Decompositions”, Internal Report 16-150, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-174
N. Vervliet, O. Debals, and L. De Lathauwer. “Exploiting
efficient representations in tensor decompositions”. SIAM Journal on
Scientific Computing (Dec. 2018). Accepted.
17-73
Bharath H.N., Debals O., Sima D.M., Himmelreich U., De Lathauwer L., Van Huffel S.,“Lowner Based Method for Residual Water Suppression in 1H Magnetic Resonance Spectroscopic Imaging”, Internal Report 1773, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017.
17-97
Van Eeghem F., Debals O., De Lathauwer L., “Tensor similarity in two modes”, IEEE Transactions on Signal Processing, vol. 66, no. 5, Mar. 2018, pp. 1273 – 1285., Lirias number: 609355.
17-99
Debals O., De Lathauwer L., “The concept of tensorization”, Internal Report 17-99, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-120
Govaerts G., Bousse M., Debals O., De Lathauwer L., Van Huffel S., “Detection of Atrial Fibrillation Using Tensors”, Internal Report 17-120, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: 588786.
17-133
Vanderstukken J., Stegeman A., De Lathauwer L., “Systems of polynomial equations, higher-order tensor decompositions and multidimensional harmonic retrieval: A unifying framework. Part I: The canonical polyadic decomposition”, Internal Report 17-133, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-134
Vanderstukken J., Stegeman A., De Lathauwer L., “Systems of polynomial equations, higher-order tensor decompositions and multidimensional harmonic retrieval: A unifying framework. Part II: The block-term decomposition”, Internal Report 17-134, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
18-51
Domanov I., Vervliet N., De Lathauwer L., “Decomposition of a tensor into multilinear rank $(M_r, N_r, \cdot)$ terms”, Internal Report 18-51, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018.
18-52
Domanov I., De Lathauwer L., “Decomposition of a tensor into multilinear rank-$(1,L_r,L_r)$ terms“, Internal Report 18-52, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018.
18-70
Domanov I., De Lathauwer L., “On the similarity of tensors with column equivalent matrix unfoldings”, Internal Report 18-70, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
18-91
Geirnaert S., Goovaerts G., Padhy S., Bousse M., De Lathauwer L., Van Huffel S., “Tensor-based ECG signal processing applied to atrial fibrillation detection”, Internal Report 18-91, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018. Accepted for publication in Proceedings of the 52nd Asilomar Conference on Signals, systems and computers., Lirias number: 2124981.
PhD Theses
14-114
Sorber L., Data fusion : Tensor factorizations by complex optimization, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), May 2014, Lirias number: 450617.
14-115
Hunyadi B., Learning from structured EEG and fMRI data supporting the diagnosis of epilepsy, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Jun. 2014, 216 p., Lirias number: 451652.
15-56
Matic V., Neonatal EEG signal processing, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Mar. 2015, 218 p., Lirias number: 486438.
17-137
Debals O., Tensorization and applications in blind source separation, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Aug. 2017, 249 p., Lirias number: 587333.
17-169
Zink R., Mobile EEG and tensor approaches for auditory attention analysis in real-life, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Dec. 2017, 226 p., Lirias number: 596078.
18-76
Vervliet N., Compressed sensing approaches to large-scale tensor decompositions, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), May 2018, 294 p., Lirias number: 1741494.
18-118
Bharath H.N., Tensor based approaches in magnetic resonance spectroscopic imaging and multi-parametric MRI data analysis, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Sep. 2018, 204 p., Lirias number: 1994427.
18-145
Goovaerts G., Tensor-based ECG analysis in sudden cardiac death, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Dec. 2018, 235 p. Lirias number: 2320831
18-155
Suarez L.A.A., Machine learning approaches for ambulatory electrocardiography signal processing, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Dec. 2018, 166 p., Lirias number: 1993126.
18-156
Rodriguez Y.A., Methods for nonconvulsive epileptic seizure monitoring, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Dec. 2018, 135 p., Lirias number: 2238558