Year |
Citation |
Score |
2017 |
Gorriz JM, Ramirez J, Suckling J, Martinez-Murcia FJ, Illán IA, Segovia F, Ortiz A, Salas-González D, Castillo-Barnés D, Puntonet CG. A semi-supervised learning approach for model selection based on class-hypothesis testing Expert Systems With Applications. 90: 40-49. DOI: 10.1016/J.Eswa.2017.08.006 |
0.347 |
|
2016 |
Al-Baddai S, Neubauer A, Tomé AM, Vigneron V, Salas-Gonzalez D, Górriz JM, Puntonet CG, Lang EW, The Alzheimer's Disease Neuroimaging Initiative. Functional Biomedical Images of Alzheimer's Disease a Green's Functionbased Empirical Mode Decomposition Study. Current Alzheimer Research. PMID 27001676 DOI: 10.2174/1567205013666160322141726 |
0.356 |
|
2014 |
Górriz JM, Ramírez J, Olivares A, Padilla P, Puntonet CG, Cantón M, Laguna P. Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients. Plos One. 9: e110629. PMID 25356628 DOI: 10.1371/Journal.Pone.0110629 |
0.35 |
|
2014 |
Segovia F, Holt R, Spencer M, Górriz JM, Ramírez J, Puntonet CG, Phillips C, Chura L, Baron-Cohen S, Suckling J. Identifying endophenotypes of autism: a multivariate approach. Frontiers in Computational Neuroscience. 8: 60. PMID 24936183 DOI: 10.3389/Fncom.2014.00060 |
0.313 |
|
2014 |
Neubauer A, Tomé AM, Kodewitz A, Górriz JM, Puntonet CG, Lang EW. Bidimensional Ensemble Empirical Mode Decomposition Of Functional Biomedical Images Advances in Adaptive Data Analysis. 6: 1450004. DOI: 10.1142/S1793536914500046 |
0.319 |
|
2014 |
Schachtner R, Por̈ppel G, Tomé AM, Puntonet CG, Lang EW. A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection Neurocomputing. 138: 142-156. DOI: 10.1016/J.Neucom.2014.02.021 |
0.38 |
|
2014 |
Schön T, Stetter M, Tomé AM, Puntonet CG, Lang EW. Physarum Learner: A bio-inspired way of learning structure from data Expert Systems With Applications. 41: 5353-5370. DOI: 10.1016/J.Eswa.2014.03.002 |
0.303 |
|
2013 |
MartÃnez-Murcia FJ, Górriz JM, RamÃrez J, Puntonet CG, Illán IA. Functional activity maps based on significance measures and Independent Component Analysis. Computer Methods and Programs in Biomedicine. 111: 255-68. PMID 23660005 DOI: 10.1016/J.Cmpb.2013.03.015 |
0.397 |
|
2013 |
Zeiler A, Faltermeier R, Tomé AM, Puntonet CG, Brawanski A, Lang EW. Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series Neural Processing Letters. 37: 21-32. DOI: 10.1007/S11063-012-9270-9 |
0.344 |
|
2013 |
Tomé AM, Schachtner R, Vigneron V, Puntonet CG, Lang EW. A logistic non-negative matrix factorization approach to binary data sets Multidimensional Systems and Signal Processing. 26: 125-143. DOI: 10.1007/S11045-013-0240-9 |
0.365 |
|
2012 |
Illán IA, Górriz JM, Ramírez J, Lang EW, Salas-Gonzalez D, Puntonet CG. Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging. Artificial Intelligence in Medicine. 56: 191-8. PMID 23158839 DOI: 10.1016/J.Artmed.2012.09.005 |
0.308 |
|
2012 |
Chakkor O, Puntonet CG, Essaadi M. A Survey of Signal Separation Algorithms International Journal of Computer Applications. 54: 12-15. DOI: 10.5120/8585-2336 |
0.346 |
|
2012 |
Chaves R, Ramírez J, Górriz JM, Puntonet CG. Association rule-based feature selection method for Alzheimer's disease diagnosis Expert Systems With Applications. 39: 11766-11774. DOI: 10.1016/J.Eswa.2012.04.075 |
0.385 |
|
2012 |
Martínez-Murcia FJ, Górriz JM, Ramírez J, Puntonet CG, Salas-González D. Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test Expert Systems With Applications. 39: 9676-9685. DOI: 10.1016/J.Eswa.2012.02.153 |
0.373 |
|
2011 |
Illán IA, Górriz JM, Ramírez J, Salas-Gonzalez D, López MM, Segovia F, Chaves R, Gómez-Rio M, Puntonet CG. 18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis Information Sciences. 181: 903-916. DOI: 10.1016/J.Ins.2010.10.027 |
0.346 |
|
2011 |
Salas-Gonzalez D, Górriz JM, Ramírez J, Álvarez I, López M, Segovia F, Puntonet CG. Two approaches to selecting set of voxels for the diagnosis of Alzheimer's disease using brain SPECT images Digital Signal Processing: a Review Journal. 21: 746-755. DOI: 10.1016/J.Dsp.2011.01.006 |
0.36 |
|
2011 |
Illán IA, Górriz JM, López MM, Ramírez J, Salas-Gonzalez D, Segovia F, Chaves R, Puntonet CG. Computer aided diagnosis of Alzheimer's disease using component based SVM Applied Soft Computing Journal. 11: 2376-2382. DOI: 10.1016/J.Asoc.2010.08.019 |
0.364 |
|
2010 |
Salas-Gonzalez D, Górriz JM, Ramírez J, Illán IA, López M, Segovia F, Chaves R, Padilla P, Puntonet CG. Feature selection using factor analysis for Alzheimer's diagnosis using F 18 -FDG PET images Medical Physics. 37: 6084-6095. PMID 21158320 DOI: 10.1118/1.3488894 |
0.362 |
|
2010 |
Salas-Gonzalez D, Górriz JM, Ramírez J, López M, Álvarez I, Segovia F, Chaves R, Puntonet CG. Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees Physics in Medicine and Biology. 55: 2807-2817. PMID 20413829 DOI: 10.1088/0031-9155/55/10/002 |
0.363 |
|
2010 |
Padilla P, Górriz JM, Ramírez J, Chaves R, Segovia F, Alvarez I, Salas-González D, López M, Puntonet CG. Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis Electronics Letters. 46: 556-558. DOI: 10.1049/El.2010.0219 |
0.368 |
|
2010 |
Górriz JM, Ramírez J, Lang EW, Puntonet CG, Turias I. Improved likelihood ratio test based voice activity detector applied to speech recognition Speech Communication. 52: 664-677. DOI: 10.1016/J.Specom.2010.03.003 |
0.386 |
|
2010 |
Illán IA, Górriz JM, Ramírez J, Salas-Gonzalez D, López M, Segovia F, Padilla P, Puntonet CG. Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease Pattern Recognition Letters. 31: 1342-1347. DOI: 10.1016/J.Patrec.2010.03.004 |
0.386 |
|
2009 |
Salas-Gonzalez D, Górriz JM, Ramírez J, López M, Illan IA, Segovia F, Puntonet CG, Gómez-Río M. Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines. Neuroscience Letters. 461: 60-4. PMID 19477227 DOI: 10.1016/J.Neulet.2009.05.056 |
0.334 |
|
2009 |
Górriz JM, Lassl A, Ramírez J, Salas-Gonzalez D, Puntonet CG, Lang EW. Automatic selection of ROIs in functional imaging using Gaussian mixture models Neuroscience Letters. 460: 108-111. PMID 19454303 DOI: 10.1016/J.Neulet.2009.05.039 |
0.339 |
|
2009 |
Górriz JM, Ramírez J, Cruces-Álvarez S, Erdogmus D, Puntonet CG, Lang EW. Speech enhancement in discontinuous transmission systems using the constrained-stability least-mean-squares algorithm Journal of the Acoustical Society of America. 124: 3669-3683. PMID 19206795 DOI: 10.1121/1.3003933 |
0.355 |
|
2009 |
Teixeira AR, Tomé AM, Böhm M, Puntonet CG, Lang EW. How to apply nonlinear subspace techniques to univariate biomedical time series Ieee Transactions On Instrumentation and Measurement. 58: 2433-2443. DOI: 10.1109/Tim.2009.2016385 |
0.335 |
|
2009 |
Górriz JM, Ramírez J, Cruces-Alvarez S, Puntonet CG, Lang EW, Erdogmus D. A novel LMS algorithm applied to adaptive noise cancellation Ieee Signal Processing Letters. 16: 34-37. DOI: 10.1109/Lsp.2008.2008584 |
0.354 |
|
2009 |
Álvarez I, Górriz JM, Ramírez J, Salas-Gonzalez D, López M, Segovia F, Puntonet CG, Prieto B. Alzheimer's diagnosis using eigenbrains and support vector machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5517: 973-980. DOI: 10.1049/El.2009.3415 |
0.37 |
|
2009 |
López M, Ramírez J, Górriz JM, Salas-Gonzalez D, Álvarez I, Segovia F, Puntonet CG. Automatic tool for Alzheimer's disease diagnosis using PCA and Bayesian classification rules Electronics Letters. 45: 389-391. DOI: 10.1049/El.2009.0176 |
0.353 |
|
2008 |
Górriz JM, Ramírez J, Lang EW, Puntonet CG. Jointly gaussian pdf-based likelihood ratio test for voice activity detection Ieee Transactions On Audio, Speech and Language Processing. 16: 1565-1578. DOI: 10.1109/Tasl.2008.2004293 |
0.392 |
|
2008 |
Salas-Gonzalez D, Górriz JM, Ramírez J, Lass A, Puntonet CG. Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images Electronics Letters. 44: 1291-1292. DOI: 10.1049/El:20081838 |
0.333 |
|
2008 |
Stadlthanner K, Theis FJ, Lang EW, Tomé AM, Puntonet CG, Górriz JM. Hybridizing sparse component analysis with genetic algorithms for microarray analysis Neurocomputing. 71: 2356-2376. DOI: 10.1016/J.Neucom.2007.09.017 |
0.383 |
|
2007 |
Stadlthanner K, Lutter D, Theis FJ, Lang EW, Tomé AM, Georgieva P, Puntonet CG. Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis Ieee International Conference On Neural Networks - Conference Proceedings. 294-299. DOI: 10.1109/IJCNN.2007.4370971 |
0.326 |
|
2007 |
Górriz JM, Ramírez J, Puntonet CG. Effective jointly pdf-based voice activity detector for real-time applications Electronics Letters. 43: 251-253. DOI: 10.1049/El:20073742 |
0.343 |
|
2007 |
Schachtner R, Lutter D, Theis FJ, Lang EW, Tomé AM, Gorriz Saez JM, Puntonet CG. Blind matrix decomposition techniques to identify marker genes from microarrays Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4666: 649-656. |
0.587 |
|
2006 |
Górriz JM, Ramírez J, Segura JC, Puntonet CG. An effective cluster-based model for robust speech detection and speech recognition in noisy environments. The Journal of the Acoustical Society of America. 120: 470-81. PMID 16875243 DOI: 10.1121/1.2208450 |
0.361 |
|
2006 |
Górriz JM, Ramírez J, Puntonet CG, Segura JC. Generalized LRT-based voice activity detector Ieee Signal Processing Letters. 13: 636-639. DOI: 10.1109/Lsp.2006.876340 |
0.36 |
|
2006 |
Ramírez J, Górriz JM, Segura JC, Puntonet CG, Rubio AJ. Speech/non-speech discrimination based on contextual information integrated bispectrum LRT Ieee Signal Processing Letters. 13: 497-500. DOI: 10.1109/Lsp.2006.873147 |
0.356 |
|
2006 |
Theis FJ, Puntonet CG, Lang EW. Median-based clustering for underdetermined blind signal processing Ieee Signal Processing Letters. 13: 96-99. DOI: 10.1109/Lsp.2005.861590 |
0.34 |
|
2006 |
Górriz JM, Puntonet CG, Rojas F, Martin R, Hornillo S, Lang EW. Optimizing blind source separation with guided genetic algorithms Neurocomputing. 69: 1442-1457. DOI: 10.1016/J.Neucom.2005.12.030 |
0.388 |
|
2006 |
Gruber P, Stadlthanner K, Böhm M, Theis FJ, Lang EW, Tomé AM, Teixeira AR, Puntonet CG, Gorriz Saéz JM. Denoising using local projective subspace methods Neurocomputing. 69: 1485-1501. DOI: 10.1016/J.Neucom.2005.12.025 |
0.403 |
|
2006 |
Hornillo-Mellado S, Martín-Clemente R, Puntonet CG, Acha JI, Manuel Górriz-Sáez J. Maximization of statistical moments for blind separation of sources revisited Neurocomputing. 69: 1425-1434. DOI: 10.1016/J.Neucom.2005.12.020 |
0.316 |
|
2006 |
de la Rosa JJG, Lloret I, Moreno A, Puntonet CG, Górriz JM. Wavelets and wavelet packets applied to detect and characterize transient alarm signals from termites Measurement: Journal of the International Measurement Confederation. 39: 553-564. DOI: 10.1016/J.Measurement.2005.11.021 |
0.314 |
|
2005 |
Górriz JM, Puntonet CG, Ramírez J. Testing For Independence And Lrt For Vad International Journal of Information Acquisition. 2: 315-322. DOI: 10.1142/S0219878905000672 |
0.358 |
|
2005 |
Górriz JM, Ramírez J, Segura JC, Puntonet CG. Improved MO-LRT VAD based on bispectra Gaussian model Electronics Letters. 41: 877-879. DOI: 10.1049/El:20051761 |
0.369 |
|
2005 |
Rosa JJGdl, Puntonet CG, Lloret I. An application of the independent component analysis to monitor acoustic emission signals generated by termite activity in wood Measurement. 37: 63-76. DOI: 10.1016/J.Measurement.2004.08.002 |
0.354 |
|
2004 |
De La Rosa JJG, Lloret I, Puntonet CG, Górriz JM. Higher-order statistics to detect and characterise termite emissions Electronics Letters. 40: 1316-1318. DOI: 10.1049/El:20045664 |
0.333 |
|
2004 |
Martín-Clemente R, Acha JI, Puntonet CG. Eigendecomposition of self-tuned cumulant-matrices for blind source separation Signal Processing. 84: 1201-1211. DOI: 10.1016/J.Sigpro.2004.04.002 |
0.365 |
|
2004 |
Theis FJ, Lang EW, Puntonet CG. A geometric algorithm for overcomplete linear ICA Neurocomputing. 56: 381-398. DOI: 10.1016/J.Neucom.2003.09.008 |
0.39 |
|
2003 |
Theis FJ, Jung A, Puntonet CG, Lang EW. Linear geometric ICA: fundamentals and algorithms. Neural Computation. 15: 419-39. PMID 12590813 DOI: 10.1162/089976603762552979 |
0.386 |
|
2002 |
Puntonet CG, Mansour A, Bauer C, Lang EW. Separation of sources using simulated annealing and competitive learning Neurocomputing. 49: 39-60. DOI: 10.1016/S0925-2312(02)00510-6 |
0.338 |
|
2002 |
Mansour A, Ohnishi N, Puntonet CG. Blind multiuser separation of instantaneous mixture algorithm based on geometrical concepts Signal Processing. 82: 1155-1175. DOI: 10.1016/S0165-1684(02)00250-5 |
0.377 |
|
2001 |
Salmerón M, Ortega J, Puntonet CG, Prieto A. Improved RAN sequential prediction using orthogonal techniques Neurocomputing. 41: 153-172. DOI: 10.1016/S0925-2312(00)00363-5 |
0.324 |
|
2000 |
Prieto B, Prieto A, Puntonet CG, Martín-Smith P. Neural network for demixing super-Gaussian signals Electronics Letters. 36: 1474-1475. DOI: 10.1049/El:20001053 |
0.341 |
|
1998 |
Puntonet CG, Prieto A. Neural net approach for blind separation of sources based on geometric properties Neurocomputing. 18: 141-164. DOI: 10.1016/S0925-2312(97)00076-3 |
0.384 |
|
1998 |
Prieto A, Puntonet CG, Prieto B. A neural learning algorithm for blind separation of sources based on geometric properties Signal Processing. 64: 315-331. DOI: 10.1016/S0165-1684(97)00198-9 |
0.374 |
|
1997 |
Puntonet CG, Prieto A. Geometric approach for blind separation of signals Electronics Letters. 33: 835-836. DOI: 10.1049/El:19970557 |
0.356 |
|
1995 |
Puntonet CG, Prieto A, Jutten C, Rodríguez-Alvarez M, Ortega J. Separation of sources: a geometry-based procedure for reconstruction of n-valued signals Signal Processing. 46: 267-284. DOI: 10.1016/0165-1684(95)00088-0 |
0.359 |
|
1995 |
Puntonet CG, Prieto A. An adaptive geometrical procedure for blind separation of sources Neural Processing Letters. 2: 23-27. DOI: 10.1007/Bf02332162 |
0.372 |
|
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