| Year |
Citation |
Score |
| 2019 |
Kohler M, Krzyzak A. Estimation of a Density From an Imperfect Simulation Model Ieee Transactions On Information Theory. 65: 1535-1546. DOI: 10.1109/Tit.2018.2871048 |
0.335 |
|
| 2019 |
Yanev N, Valev V, Krzyżak A, Suliman KB. Supervised classification using graph-based space partitioning Pattern Recognition Letters. 128: 122-130. DOI: 10.1016/J.Patrec.2019.07.024 |
0.322 |
|
| 2018 |
Yousefi M, Krzyżak A, Suen CY. Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning. Computers in Biology and Medicine. 96: 283-293. PMID 29665537 DOI: 10.1016/J.Compbiomed.2018.04.004 |
0.3 |
|
| 2018 |
Kohler M, Krzyżak A, Tent R, Walk H. Nonparametric quantile estimation using importance sampling Annals of the Institute of Statistical Mathematics. 70: 439-465. DOI: 10.1007/S10463-016-0595-4 |
0.302 |
|
| 2016 |
Jones D, Kohler M, Krzyżak A, Richter A. Empirical Comparison of Nonparametric Regression Estimates on Real Data Communications in Statistics: Simulation and Computation. 45: 2309-2319. DOI: 10.1080/03610918.2014.901357 |
0.396 |
|
| 2016 |
Karimi B, Krzyzak A. A novel technique for detecting suspicious lesions in breast ultrasound images Concurrency Computation. 28: 2237-2260. DOI: 10.1002/Cpe.3553 |
0.303 |
|
| 2015 |
Kohler M, Krzyzak A. Estimation of a jump point in random design regression Statistics and Probability Letters. 106: 247-255. DOI: 10.1016/J.Spl.2015.07.009 |
0.353 |
|
| 2013 |
Chen G, Bui TD, Krzyzak A, Krishnan S. Small bowel image classification based on Fourier-Zernike moment features and canonical discriminant analysis Pattern Recognition and Image Analysis. 23: 211-216. DOI: 10.1134/S1054661813020089 |
0.309 |
|
| 2013 |
Furer D, Kohler M, Krzyzak A. Fixed-design regression estimation based on real and artificial data Journal of Nonparametric Statistics. 25: 223-241. DOI: 10.1080/10485252.2012.749257 |
0.374 |
|
| 2013 |
Kohler M, Krzyzak A. Optimal global rates of convergence for interpolation problems with random design Statistics and Probability Letters. 83: 1871-1879. DOI: 10.1016/J.Spl.2013.04.018 |
0.321 |
|
| 2012 |
Kohler M, Krzyzak A. Pricing of American options in discrete time using least squares estimates with complexity penalties Journal of Statistical Planning and Inference. 142: 2289-2307. DOI: 10.1016/J.Jspi.2012.02.031 |
0.374 |
|
| 2010 |
Kohler M, Krzyzak A, Todorovic N. Pricing of high-dimensional american options by neural networks Mathematical Finance. 20: 383-410. DOI: 10.1111/J.1467-9965.2010.00404.X |
0.339 |
|
| 2009 |
Krzyzak A, Partyka MA. Nonparametric estimation of nonlinear dynamic systems using semirecursive regression estimates Nonlinear Analysis, Theory, Methods and Applications. 71. DOI: 10.1016/J.Na.2009.02.128 |
0.387 |
|
| 2009 |
Rafajłowicz E, Krzyzak A. Pattern recognition with ordered labels Nonlinear Analysis, Theory, Methods and Applications. 71. DOI: 10.1016/J.Na.2009.01.177 |
0.305 |
|
| 2009 |
Kohler M, Krzyzak A, Walk H. Optimal global rates of convergence for nonparametric regression with unbounded data Journal of Statistical Planning and Inference. 139: 1286-1296. DOI: 10.1016/J.Jspi.2008.07.012 |
0.395 |
|
| 2006 |
Kohler M, Krzyzak A, Walk H. Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data Journal of Multivariate Analysis. 97: 311-323. DOI: 10.1016/J.Jmva.2005.03.006 |
0.406 |
|
| 2005 |
Kohler M, Krzyzak A. Adaptive regression estimation with multilayer feedforward neural networks Journal of Nonparametric Statistics. 17: 891-913. DOI: 10.1080/10485250500309608 |
0.387 |
|
| 2005 |
Krzyzak A, Partyka MA. Global identification of nonlinear Hammerstein systems by recursive kernel approach Nonlinear Analysis, Theory, Methods and Applications. 63. DOI: 10.1016/J.Na.2005.02.077 |
0.383 |
|
| 2005 |
Rafajłowicz E, Krzyzak A. Nonparametric and nonlinear reconstruction of surfaces from qualitative observations Nonlinear Analysis, Theory, Methods and Applications. 63. DOI: 10.1016/J.Na.2005.02.048 |
0.327 |
|
| 2003 |
Pawlak M, Rafajłowicz E, Krzyzak A. Postfiltering versus Prefiltering for Signal Recovery from Noisy Samples Ieee Transactions On Information Theory. 49: 3195-3212+3354. DOI: 10.1109/Tit.2003.820013 |
0.301 |
|
| 2003 |
Chen GY, Bui TD, Krzyzak A. Contour-based handwritten numeral recognition using multiwavelets and neural networks Pattern Recognition. 36: 1597-1604. DOI: 10.1016/S0031-3203(02)00252-2 |
0.312 |
|
| 2003 |
Kohler M, Krzyzak A, Walk H. Strong consistency of automatic kernel regression estimates Annals of the Institute of Statistical Mathematics. 55: 287-308. DOI: 10.1007/Bf02530500 |
0.399 |
|
| 2003 |
Dong JX, Suen CY, Krzyzak A. A fast SVM training algorithm International Journal of Pattern Recognition and Artificial Intelligence. 17: 367-384. DOI: 10.1007/3-540-45665-1_5 |
0.333 |
|
| 2002 |
Kégl B, Krzyzak A. Piecewise linear skeletonization using principal curves Ieee Transactions On Pattern Analysis and Machine Intelligence. 24: 59-74. DOI: 10.1109/34.982884 |
0.346 |
|
| 2002 |
Dong JX, Krzyzak A, Suen CY. Local learning framework for handwritten character recognition Engineering Applications of Artificial Intelligence. 15: 151-159. DOI: 10.1016/S0952-1976(02)00024-6 |
0.319 |
|
| 2002 |
Zhou J, Krzyzak A, Suen CY. Verification - A method of enhancing the recognizers of isolated and touching handwritten numerals Pattern Recognition. 35: 1179-1189. DOI: 10.1016/S0031-3203(01)00109-1 |
0.301 |
|
| 2001 |
Krzyzak A, Sa̧siadek JZ, Kégl B. Non-parametric identification of dynamic non-linear systems by a Hermite series approach International Journal of Systems Science. 32: 1261-1285. DOI: 10.1080/00207720110045056 |
0.608 |
|
| 2001 |
Krzyzak A, Krzyak A, Rafajlowicz E, Skubalska-Rafajlowicz E. Clipped median and space-filling curves in image filtering Nonlinear Analysis, Theory, Methods and Applications. 47: 303-314. DOI: 10.1016/S0362-546X(01)00178-X |
0.309 |
|
| 2001 |
Krzyzak A. Nonlinear function learning using optimal radial basis function networks Ieee International Symposium On Information Theory - Proceedings. 93. DOI: 10.1016/S0362-546X(01)00177-8 |
0.379 |
|
| 2000 |
Kegl B, Krzyzak A, Linder T, Zeger K. Learning and design of principal curves Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 281-297. DOI: 10.1109/34.841759 |
0.381 |
|
| 1999 |
Devroye L, Krzyzak A. On the Hilbert kernel density estimate Statistics and Probability Letters. 44: 299-308. DOI: 10.1016/S0167-7152(99)00021-8 |
0.354 |
|
| 1998 |
Krzyzak A, Linder T. Radial basis function networks and complexity regularization in function learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 9: 247-56. PMID 18252449 DOI: 10.1109/72.661120 |
0.358 |
|
| 1998 |
Kegl B, Krzyzak A, Linder T, Zeger K. Principal curves: Learning and convergence Ieee International Symposium On Information Theory - Proceedings. 387. DOI: 10.1109/ISIT.1998.708992 |
0.599 |
|
| 1998 |
Devroye L, Györfi L, Krzyzak A. The Hilbert Kernel Regression Estimate Journal of Multivariate Analysis. 65: 209-227. DOI: 10.1006/Jmva.1997.1725 |
0.396 |
|
| 1997 |
Krzyzak A, Rafajlowicz E, Pawlak M. Moving average restoration of band-limited signals from noisy observations Ieee International Symposium On Information Theory - Proceedings. 243. DOI: 10.1109/78.650257 |
0.317 |
|
| 1996 |
Pawlak M, Rafajłowicz E, Krzyzak A. Exponential weighting algorithms for reconstruction of bandlimited signals Ieee Transactions On Signal Processing. 44: 538-545. DOI: 10.1109/78.489027 |
0.332 |
|
| 1996 |
Krzyzak A, Linder T, Lugosi G. Nonparametric estimation and classification using radial basis function nets and empirical risk minimization Ieee Transactions On Neural Networks. 7: 475-487. DOI: 10.1109/72.485681 |
0.398 |
|
| 1996 |
Krzyzak A. On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate Signal Processing. 52: 299-321. DOI: 10.1016/0165-1684(96)00067-9 |
0.382 |
|
| 1995 |
Krzyzak A, Klasa S, Xu L. On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification Ieee International Conference On Neural Networks - Conference Proceedings. 5: 2243-2246. |
0.312 |
|
| 1994 |
Devroye L, Gyorfi L, Krzyzak A, Lugosi G. On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates Annals of Statistics. 22: 1371-1385. DOI: 10.1214/Aos/1176325633 |
0.358 |
|
| 1994 |
Yu X, Bui TD, Krzyzak A. Robust Estimation for Range Image Segmentation and Reconstruction Ieee Transactions On Pattern Analysis and Machine Intelligence. 16: 530-538. DOI: 10.1109/34.291443 |
0.334 |
|
| 1994 |
Xu L, Krzyzak A, Yuille A. On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size Neural Networks. 7: 609-628. DOI: 10.1016/0893-6080(94)90040-X |
0.398 |
|
| 1993 |
Xu L, Krzyzak A, Oja E. Rival penalized competitive learning for clustering analysis, RBF net, and curve detection Ieee Transactions On Neural Networks. 4: 636-649. PMID 18267764 DOI: 10.1109/72.238318 |
0.328 |
|
| 1992 |
Krzyzak A. Global Convergence of the Recursive Kernel Regression Estimates with Applications in Classification and Nonlinear System Estimation Ieee Transactions On Information Theory. 38: 1323-1338. DOI: 10.1109/18.144711 |
0.408 |
|
| 1991 |
Krzyzak A. On exponential bounds on the Bayes risk of the kernel classification rule Ieee Transactions On Information Theory. 37: 490-499. DOI: 10.1109/18.79905 |
0.356 |
|
| 1990 |
Krzyzak A. On Estimation of a Class of Nonlinear Systems by the Kernel Regression Estimate Ieee Transactions On Information Theory. 36: 141-152. DOI: 10.1109/18.50380 |
0.387 |
|
| 1989 |
Krzyzak A. Identification of discrete Hammerstein systems by the Fourier series regression estimate International Journal of Systems Science. 20: 1729-1744. DOI: 10.1080/00207728908910255 |
0.397 |
|
| 1984 |
Greblicki W, Krzyzak A, Pawlak M. Distribution-Free Pointwise Consistency of Kernel Regression Estimate Annals of Statistics. 12: 1570-1575. DOI: 10.1214/Aos/1176346815 |
0.358 |
|
| 1984 |
Krzyzak A, Pawlak M. Almost Everywhere Convergence of a Recursive Regression Function Estimate and Classification Ieee Transactions On Information Theory. 30: 91-93. DOI: 10.1109/Tit.1984.1056833 |
0.382 |
|
| 1980 |
Greblicki W, Krzyzak A. Asymptotic properties of kernel estimates of a regression function Journal of Statistical Planning and Inference. 4: 81-90. DOI: 10.1016/0378-3758(80)90036-1 |
0.399 |
|
| 1979 |
Greblicki W, Krzyzak A. Non-parametric identification of a memoryless system with a cascade structure International Journal of Systems Science. 10: 1301-1310. DOI: 10.1080/00207727908941660 |
0.324 |
|
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