| 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 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 1991 |
Xu L, Krzyzak A, Oja E. Neural Nets For Dual Subspace Pattern Recognition Method International Journal of Neural Systems. 2: 169-184. DOI: 10.1142/S0129065791000169 |
0.299 |
|
| 2002 |
Kohler M, Krzyzak A, Schäfer D. Application of structural risk minimization to multivariate smoothing spline regression estimates Bernoulli. 8: 475-489. |
0.297 |
|
| 2013 |
Filipczuk P, Fevens T, Krzyzak A, Monczak R. Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies. Ieee Transactions On Medical Imaging. PMID 23912498 DOI: 10.1109/Tmi.2013.2275151 |
0.294 |
|
| 2010 |
Krzyzak A, Rafajłowicz E. Pattern recognition with linearly structured labels using recursive kernel estimator Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 422-429. DOI: 10.1007/978-3-642-13208-7_53 |
0.294 |
|
| 2007 |
Thirulogasanthar K, Krzyzak A, Honnouvo G. Reproducing Kernels and Coherent states on Julia sets Mathematical Physics Analysis and Geometry. 10: 297-312. DOI: 10.1007/S11040-008-9034-Y |
0.292 |
|
| 2006 |
Li S, Fevens T, Krzyzak A, Li S. An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 30: 65-74. PMID 16500077 DOI: 10.1016/J.Compmedimag.2005.10.007 |
0.285 |
|
| 1999 |
Zhou J, Gan Q, Krzyzak A, Suen CY. Recognition of handwritten numerals by Quantum Neural Network with fuzzy features International Journal On Document Analysis and Recognition. 2: 30-36. DOI: 10.1007/S100320050034 |
0.284 |
|
| 1987 |
Krzyzak A, Pawlak M. The pointwise rate of convergence of the kernel regression estimate Journal of Statistical Planning and Inference. 16: 159-166. DOI: 10.1016/0378-3758(87)90065-6 |
0.283 |
|
| 2005 |
Kohler M, Krzyzak A. Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks Ieee International Symposium On Information Theory - Proceedings. 2005: 1436-1440. DOI: 10.1109/ISIT.2005.1523580 |
0.281 |
|
| 2009 |
Jelén L, Fevens T, Krzyzak A. Influence of nuclei segmentation on breast cancer malignancy classification Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260. DOI: 10.1117/12.811733 |
0.28 |
|
| 1986 |
Krzyzak A. The rates of convergence of kernel regression estimates and classification rules Ieee Transactions On Information Theory. 32: 668-679. DOI: 10.1109/TIT.1986.1057226 |
0.279 |
|
| 2004 |
Thirulogasanthar K, Honnouvo G, Krzyzak A. Multi-matrix vector coherent states Annals of Physics. 314: 119-144. DOI: 10.1016/J.Aop.2004.07.006 |
0.276 |
|
| 2011 |
Habibzadeh M, Krzyzak A, Fevens T, Sadr A. Counting of RBCs and WBCs in noisy normal blood smear microscopic images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.878748 |
0.273 |
|
| 2017 |
Bauer B, Devroye L, Kohler M, Krzyżak A, Walk H. Nonparametric estimation of a function from noiseless observations at random points Journal of Multivariate Analysis. 160: 93-104. DOI: 10.1016/J.Jmva.2017.05.010 |
0.267 |
|
| 1994 |
Krzyzak A, Xu L, Niemann H. On L2 convergence rates of radial basis function networks and kernel regression estimators Ieee International Symposium On Information Theory - Proceedings. 37. DOI: 10.1109/ISIT.1994.394934 |
0.264 |
|
| 1993 |
KRZYŻAK A. Identification of non-linear systems by recursive kernel regression estimates International Journal of Systems Science. 24: 577-598. DOI: 10.1080/00207729308949508 |
0.263 |
|
| 1996 |
Krzyzak A, Linder T. Radial basis function networks and nonparametric classification: Complexity regularization and rates of convergence Proceedings - International Conference On Pattern Recognition. 4: 650-653. DOI: 10.1109/ICPR.1996.547645 |
0.256 |
|
| 2008 |
Jeleń Ł, Fevens T, Krzyzak A. Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies International Journal of Applied Mathematics and Computer Science. 18: 75-83. DOI: 10.2478/V10006-008-0007-X |
0.255 |
|
| 2009 |
Kohler M, Krzyzak A, Walk H. On application of nonparametric regression estimation to options pricing Ieee International Symposium On Information Theory - Proceedings. 1579-1583. DOI: 10.1109/ISIT.2009.5205821 |
0.254 |
|
| 2015 |
Felber T, Kohler M, Krzyżak A. Adaptive density estimation based on real and artificial data Journal of Nonparametric Statistics. 27: 1-18. DOI: 10.1080/10485252.2014.969729 |
0.251 |
|
| 2004 |
Krzyzak A, Skubalska-Rafajlłowicz E. Combining space-filling curves and radial basis function networks Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3070: 229-234. |
0.25 |
|
| 2015 |
Krzyzak A. Recent results on nonparametric quantile estimation in a simulation model Challenges in Computational Statistics and Data Mining. 605: 225-246. DOI: 10.1007/978-3-319-18781-5_13 |
0.248 |
|
| 2018 |
Krzyżak A, Steland A. Special Issue on Recent Trends in Stochastic Models, Statistics and Their Applications Applied Stochastic Models in Business and Industry. 34: 585-585. DOI: 10.1002/Asmb.2406 |
0.248 |
|
| 2018 |
Chen G, Bui TD, Krzyżak A. Filter-based face recognition under varying illumination Iet Biometrics. 7: 628-635. DOI: 10.1049/Iet-Bmt.2016.0195 |
0.248 |
|
| 2010 |
Thirulogasanthar K, Honnouvo G, Krzyzak A. Coherent states and Hermite polynomials on quaternionic Hilbert spaces Journal of Physics a: Mathematical and Theoretical. 43. DOI: 10.1088/1751-8113/43/38/385205 |
0.248 |
|
| 1998 |
Krzyzak A, Linder T. Radial basis function networks and complexity regularization in function learning Ieee Transactions On Neural Networks. 9: 247-256. DOI: 10.1109/72.661120 |
0.246 |
|
| 2001 |
Krzyzak A, Krzyak A, Niemann H. Convergence and rates of convergence of radial basis functions networks in function learning Nonlinear Analysis, Theory, Methods and Applications. 47: 281-292. DOI: 10.1016/S0362-546X(01)00176-6 |
0.246 |
|
| 2001 |
Kohler M, Krzyzak A. Nonparametric regression estimation using penalized least squares Ieee Transactions On Information Theory. 47: 3054-3058. DOI: 10.1109/18.998089 |
0.24 |
|
| 2011 |
Krzyzak A. Radial Basis Function Networks with optimal kernels Ieee International Symposium On Information Theory - Proceedings. 860-863. DOI: 10.1109/ISIT.2011.6034259 |
0.237 |
|
| 1983 |
Krzyzak A. Classification procedures using multivariate variable kernel density estimate Pattern Recognition Letters. 1: 293-298. DOI: 10.1016/0167-8655(83)90066-1 |
0.236 |
|
| 2014 |
Felber T, Kohler M, Krzyzak A. Density estimation using real and artificial data Ieee International Symposium On Information Theory - Proceedings. 1677-1681. DOI: 10.1109/ISIT.2014.6875119 |
0.235 |
|
| 2006 |
Thirulogasanthar K, Krzyzak A, Katatbeh QD. Quaternionic vector coherent states and the supersymmetric harmonic oscillator Theoretical and Mathematical Physics. 149: 1366-1381. DOI: 10.1007/S11232-006-0125-2 |
0.235 |
|
| 2011 |
Kohler M, Krzyzak A, Walk H. Estimation of the essential supremum of a regression function Statistics and Probability Letters. 81: 685-693. DOI: 10.1016/j.spl.2011.02.011 |
0.234 |
|
| 1984 |
Krzyzak A, Pawlak M. Distribution-Free Consistency of a Nonparametric Kernel Regression Estimate and Classification Ieee Transactions On Information Theory. 30: 78-81. DOI: 10.1109/Tit.1984.1056842 |
0.234 |
|
| 2017 |
Chen G, Xie W, Bui TD, Krzyżak A. Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features Journal of Medical and Biological Engineering. 37: 123-131. DOI: 10.1007/S40846-016-0214-0 |
0.229 |
|
| 1995 |
Krzyzak A. On optimal radial basis function nets and nonlinear function estimates Ieee International Conference On Neural Networks - Conference Proceedings. 1: 265-269. |
0.229 |
|
| 1994 |
Krzyzak A. Neural networks for optimization and signal processing: A. Cichocki and R. Unbehauen. J. Wiley & Sons, 1993. ISBN 0-471-93010-5. 526 pp Neurocomputing. 6: 125-126. DOI: 10.1016/0925-2312(94)90041-8 |
0.229 |
|
| 2015 |
Felber T, Kohler M, Krzyzak A. Adaptive density estimation from data with small measurement errors Ieee Transactions On Information Theory. 61: 3446-3456. DOI: 10.1109/TIT.2015.2421297 |
0.226 |
|
| 1990 |
Zhu PY, Kasvand T, Krzyzak A. Motion estimation based on point correspondence using neural network Ijcnn. International Joint Conference On Neural Networks. 869-874. |
0.226 |
|
| 2005 |
Krzyzak A, Schäfer D. Nonparametric regression estimation by normalized radial basis function networks Ieee Transactions On Information Theory. 51: 1003-1010. DOI: 10.1109/TIT.2004.842632 |
0.224 |
|
| 2005 |
Krzyzak A, Sa̧siadek JZ, Kégl B. On the Hermite series approach to nonparametric identification of Hammerstein systems Ifac Proceedings Volumes (Ifac-Papersonline). 16: 59-64. |
0.224 |
|
| 2016 |
Duda P, Pietruczuk L, Jaworski M, Krzyzak A. On the Cesàro-means-based orthogonal series approach to learning time-varying regression functions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9693: 37-48. DOI: 10.1007/978-3-319-39384-1_4 |
0.223 |
|
| 2015 |
Felber T, Kohler M, Krzyżak A. Adaptive density estimation from data containing bounded measurement errors Springer Proceedings in Mathematics and Statistics. 122: 67-74. DOI: 10.1007/978-3-319-13881-7_8 |
0.222 |
|
| 2012 |
Devroye L, Felber T, Kohler M, Krzyzak A. L 1-consistent estimation of the density of residuals in random design regression models Statistics and Probability Letters. 82: 173-179. DOI: 10.1016/J.Spl.2011.09.023 |
0.219 |
|
| 1996 |
Krzyzak A, Sasiadek JZ. Identification of the robots dynamics using the Hermite series approach 1996 Guidance, Navigation, and Control Conference and Exhibit. 1-7. |
0.218 |
|
| 2016 |
Enss GC, Kohler M, Krzyzak A, Platz R. Nonparametric Quantile Estimation Based on Surrogate Models Ieee Transactions On Information Theory. 62: 5727-5739. DOI: 10.1109/TIT.2016.2586080 |
0.215 |
|
| 2006 |
Kohler M, Krzyzak A. Rate of convergence of local averaging plug-in classification rules under margin condition Ieee International Symposium On Information Theory - Proceedings. 2176-2179. DOI: 10.1109/ISIT.2006.261936 |
0.214 |
|
| 2006 |
Krzyzak A, Schäfer D. Nonlinear function learning by the normalized radial basis function networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4029: 46-55. DOI: 10.1007/11785231_6 |
0.214 |
|
| 2007 |
Kohler M, Krzyzak A. Asymptotic confidence intervals for Poisson regression Journal of Multivariate Analysis. 98: 1072-1094. DOI: 10.1016/j.jmva.2006.07.006 |
0.213 |
|
| 2008 |
Dong J, Suen CY, Krzyzak A. Effective shrinkage of large multi-class linear SVM models for text categorization Proceedings - International Conference On Pattern Recognition. |
0.213 |
|
| 2015 |
Enss GC, Götz B, Kohler M, Krzyżak A, Platz R. Nonparametric estimation of a maximum of quantiles Electronic Journal of Statistics. 8: 3176-3192. DOI: 10.1214/14-EJS970 |
0.212 |
|
| 2005 |
Dong JX, Krzyzak A, Suen CY. Fast SVM training algorithm with decomposition on very large data sets. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 603-18. PMID 15794164 DOI: 10.1109/Tpami.2005.77 |
0.212 |
|
| 1997 |
Krzyzak A, Rafajtowicz E, Pawlak M. Moving average restoration of bandlimited signals from noisy observations Ieee Transactions On Signal Processing. 45: 29672976. |
0.207 |
|
| 1998 |
Krzyzak A, Pawlak M, Rafajlowicz E. Signal recovery under noise for not necessarily band-limited functions Ieee International Symposium On Information Theory - Proceedings. 477. DOI: 10.1109/ISIT.1998.709081 |
0.207 |
|
| 2012 |
Kohler M, Krzyzak A. Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data Computational Statistics and Data Analysis. 56: 1566-1580. DOI: 10.1016/j.csda.2011.09.025 |
0.207 |
|
| 2007 |
Kohler M, Krzyzak A. On the rate of convergence of local averaging plug-in classification rules under a margin condition Ieee Transactions On Information Theory. 53: 1735-1742. DOI: 10.1109/TIT.2007.894625 |
0.205 |
|
| 2008 |
Krzyzak A, Schäfer D. Nonlinear function learning using radial basis function networks: Convergence and rates Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5097: 101-110. DOI: 10.1007/978-3-540-69731-2_11 |
0.205 |
|
| 2012 |
Krawczyk B, Jeleń Ł, Krzyzak A, Fevens T. Oversampling methods for classification of imbalanced breast cancer malignancy data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7594: 483-490. DOI: 10.1007/978-3-642-33564-8-58 |
0.204 |
|
| 2023 |
Shamshiri MA, Krzyżak A, Kowal M, Korbicz J. Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. Computers in Biology and Medicine. 154: 106575. PMID 36758326 DOI: 10.1016/j.compbiomed.2023.106575 |
0.202 |
|
| 2005 |
Dong JX, Suen CY, Krzyzak A. Algorithms of fast SVM evaluation based on subspace projection Proceedings of the International Joint Conference On Neural Networks. 2: 865-870. DOI: 10.1109/IJCNN.2005.1555966 |
0.202 |
|
| 1996 |
Krzyzak A, Niemann H. On MISE convergence rates of radial basis functions networks Ieee International Conference On Neural Networks - Conference Proceedings. 1: 235-240. |
0.201 |
|
| 1997 |
Mazurek J, Krzyzak A, Cichocki A. Rates of convergence of the recursive radial basis function networks Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4: 3317-3320. |
0.201 |
|
| 1989 |
Krzyzak A, Leung SY, Suen CY. Reconstruction of two-dimensional patterns from Fourier descriptors Machine Vision and Applications. 2: 123-140. DOI: 10.1007/BF01212454 |
0.201 |
|
| 2017 |
Kelava A, Kohler M, Krzyżak A, Schaffland TF. Nonparametric estimation of a latent variable model Journal of Multivariate Analysis. 154: 112-134. DOI: 10.1016/j.jmva.2016.10.006 |
0.2 |
|
| 2000 |
Kégl B, Krzyzak A, Niemann H. Radial basis function networks and complexity regularization in function learning and classification Proceedings - International Conference On Pattern Recognition. 15: 81-86. |
0.199 |
|
| 2018 |
Kohler M, Krzyżak A. Estimating quantiles in imperfect simulation models using conditional density estimation Annals of the Institute of Statistical Mathematics. 72: 123-155. DOI: 10.1007/S10463-018-0683-8 |
0.199 |
|
| 2012 |
Skubalska-Rafajłowicz E, Krzyzak A, Rafajłowicz E. Dimensionality reduction using external context in pattern recognition problems with ordered labels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7267: 430-438. DOI: 10.1007/978-3-642-29347-4_50 |
0.198 |
|
| 2012 |
Krzyzak A, Sa̧siadek JZ, Ulrich S. Nonparametric identification of robot flexible joint space manipulator 2012 17th International Conference On Methods and Models in Automation and Robotics, Mmar 2012. 172-177. DOI: 10.1109/MMAR.2012.6347893 |
0.198 |
|
| 2021 |
Gałkowski T, Krzyżak A, Patora-Wysocka Z, Filutowicz Z, Wang L. A New Approach to Detection of Changes in Multidimensional Patterns Journal of Artificial Intelligence and Soft Computing Research. 11: 217-227. DOI: 10.2478/jaiscr-2021-0013 |
0.197 |
|
| 2012 |
Biau G, Krzyzak A, Devroye L, Dujmović V. An affine invariant k-nearest neighbor regression estimate Ieee International Symposium On Information Theory - Proceedings. 1445-1447. DOI: 10.1016/J.Jmva.2012.05.020 |
0.197 |
|
| 1990 |
Krzyzak A, Dai W, Suen CY. Classification of large set of handwritten characters using modified back propagation model Ijcnn. International Joint Conference On Neural Networks. 225-232. |
0.197 |
|
| 1994 |
Krzyzak A, Sasiadek JZ, Zhu P. Identification of dynamic nonlinear systems using the Hermite series approach Proceedings of the Ieee Conference On Decision and Control. 2: 1731-1732. |
0.194 |
|
| 2005 |
Dong JX, Krzyzak A, Suen CY. An improved handwritten Chinese character recognition system using support vector machine Pattern Recognition Letters. 26: 1849-1856. DOI: 10.1016/J.Patrec.2005.03.006 |
0.194 |
|
| 2014 |
Asaithambi A, Valev V, Krzyzak A, Zeljković V. A new approach for binary feature selection and combining classifiers Proceedings of the 2014 International Conference On High Performance Computing and Simulation, Hpcs 2014. 681-687. DOI: 10.1109/HPCSim.2014.6903754 |
0.192 |
|
| 2001 |
Krzyzak A. Nonlinear function learning and classification using optimal radial basis function networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2123: 217-225. |
0.191 |
|
| 2017 |
Bauer B, Heimrich F, Kohler M, Krzyżak A. On estimation of surrogate models for multivariate computer experiments Annals of the Institute of Statistical Mathematics. 71: 107-136. DOI: 10.1007/S10463-017-0627-8 |
0.19 |
|
| 1992 |
Xu L, Krzyżak A, Suen CY. Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition Ieee Transactions On Systems, Man and Cybernetics. 22: 418-435. DOI: 10.1109/21.155943 |
0.178 |
|
| 2014 |
Yousefi M, Krzyzak A, Suen CY. Convex cardinality restricted boltzmann machine and its application to pattern recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8436: 369-374. DOI: 10.1007/978-3-319-06483-3_40 |
0.177 |
|
| 2013 |
Karimi B, Krzyżak A. A Novel Approach for Automatic Detection and Classification of Suspicious Lesions in Breast Ultrasound Images Journal of Artificial Intelligence and Soft Computing Research. 3: 265-276. DOI: 10.2478/jaiscr-2014-0019 |
0.177 |
|
| 2005 |
Li S, Fevens T, Krzyzak A. Automatic clinical image segmentation using pathological modelling, PCA and SVM Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3587: 314-324. |
0.177 |
|
| 2013 |
Jannatpour A, Krzyzak A, O'Shaughnessy D. A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals Canadian Conference On Electrical and Computer Engineering. DOI: 10.1109/CCECE.2013.6567718 |
0.176 |
|
| 2014 |
Kohler M, Krzyzak A, Walk H. Nonparametric recursive quantile estimation Statistics and Probability Letters. 93: 102-107. DOI: 10.1016/j.spl.2014.06.007 |
0.176 |
|
| 2009 |
Krzyzak A, Sa̧siadek JZ, Green A. Identification of nonlinear systems by nonparametric approach with application to control of flexible robot manipulator Ifac Proceedings Volumes (Ifac-Papersonline). 14: 611-616. |
0.175 |
|
| 2021 |
Kohler M, Krzyżak A. Estimation of a density using an improved surrogate model Electronic Journal of Statistics. 15. DOI: 10.1214/20-EJS1774 |
0.173 |
|
| 2019 |
Kohler M, Krzyżak A. Estimation of extreme quantiles in a simulation model Journal of Nonparametric Statistics. 31: 393-419. DOI: 10.1080/10485252.2019.1567727 |
0.173 |
|
| 2018 |
Kohler M, Krzyzak A. Adaptive Estimation of Quantiles in a Simulation Model Ieee Transactions On Information Theory. 64: 501-512. DOI: 10.1109/TIT.2017.2743177 |
0.173 |
|
| 2009 |
Izmailov A, Krzyzak A. On improving the efficiency of eigenface using a novel facial feature localization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5716: 414-424. DOI: 10.1007/978-3-642-04146-4_45 |
0.171 |
|
| 2014 |
Bruździński T, Krzyżak A, Fevens T, Jeleń Ł. Web–Based Framework For Breast Cancer Classification Journal of Artificial Intelligence and Soft Computing Research. 4: 149-162. DOI: 10.1515/jaiscr-2015-0005 |
0.171 |
|
| 2001 |
Krzyzak A, Sa̧siadek JZ, Kégl B. Identification of nonlinear systems by Hermite series approach Proceedings of the Ieee Conference On Decision and Control. 3: 2143-2144. |
0.17 |
|
| 2007 |
Yang F, Krzyzak A. Face recognition under significant pose variation Canadian Conference On Electrical and Computer Engineering. 1313-1316. DOI: 10.1109/CCECE.2007.334 |
0.169 |
|
| 2006 |
Chen GY, Bui TD, Krzyzak A. Palmprint classification using dual-tree complex wavelets Proceedings - International Conference On Image Processing, Icip. 2645-2648. DOI: 10.1109/ICIP.2006.313053 |
0.168 |
|
| 2002 |
Pawlak M, Rafajłowicz E, Krzyzak A. Postfiltering versus prefiltering for signal sampling and recovery under noise Ieee International Symposium On Information Theory - Proceedings. 155. |
0.167 |
|
| 2006 |
Li S, Fevens T, Krzyzak A, Jin C, Li S. Fast and robust clinical triple-region image segmentation using one level set function. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 766-73. PMID 17354842 DOI: 10.1007/11866763_94 |
0.167 |
|
| 2003 |
Dong JX, Krzyzak A, Suen CY. A fast parallel optimization for training support vector machine Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2734: 96-105. |
0.166 |
|
| 1996 |
Skubalska-Rafajlowicz E, Krzyzak A. Fast k-NN classification rule using metric on space-filling curves Proceedings - International Conference On Pattern Recognition. 2: 121-125. DOI: 10.1109/ICPR.1996.546736 |
0.165 |
|
| 2020 |
Gałkowski T, Krzyżak A, Filutowicz Z. A New Approach to Detection of Changes in Multidimensional Patterns Journal of Artificial Intelligence and Soft Computing Research. 10: 125-136. DOI: 10.2478/jaiscr-2020-0009 |
0.164 |
|
| 2011 |
Sasiadek JZ, Walker MJ, Krzyzak A. Accurate feature matching for autonomous vehicle navigation in urban environments 2011 16th International Conference On Methods and Models in Automation and Robotics, Mmar 2011. 68-73. DOI: 10.1109/MMAR.2011.6031318 |
0.16 |
|
| 2004 |
Buchnajzer R, Atwood JW, Krzyzak A. Simulation of lead-time scheduling in PMP FWA networks Canadian Conference On Electrical and Computer Engineering. 3: 1693-1698. |
0.16 |
|
| 2016 |
Stoch G, Krzyzak AT. Parameterized signal calibration for NMR cryoporometry experiment without external standard Journal of Magnetic Resonance. 269: 97-103. DOI: 10.1016/j.jmr.2016.05.015 |
0.159 |
|
| 2019 |
Chen GY, Bui TD, Krzyzak A. Illumination invariant face recognition using dual-tree complex wavelet transform in logarithm domain Journal of Electrical Engineering. 70: 113-121. DOI: 10.2478/jee-2019-0017 |
0.159 |
|
| 2014 |
Krawczyk B, Jeleń Ł, Krzyzak A, Fevens T. One-class classification decomposition for imbalanced classification of breast cancer malignancy data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8467: 539-550. DOI: 10.1007/978-3-319-07173-2_46 |
0.159 |
|
| 2014 |
Chu JL, Krzyzak A. Analysis of feature maps selection in supervised learning using convolutional neural networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8436: 59-70. DOI: 10.1007/978-3-319-06483-3_6 |
0.159 |
|
| 2004 |
Li S, Fevens T, Krzyzak A. Image segmentation adapted for clinical settings by combining pattern classification and level sets Lecture Notes in Computer Science. 3216: 160-167. |
0.158 |
|
| 1988 |
Krzyzak A, Leung SY, Suen CY. Reconstruction of two dimensional patterns by Fourier descriptors Proceedings - International Conference On Pattern Recognition. 555-558. |
0.157 |
|
| 1994 |
Krzyzak A, Rafajlowicz E, Pawlak M. On reconstruction of band-limited signals from noisy measurements Proceedings of the Ieee Conference On Decision and Control. 2: 1195-1196. |
0.157 |
|
| 2015 |
Starczewski A, Krzyzak A. Performance evaluation of the silhouette index Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 9120: 49-58. DOI: 10.1007/978-3-319-19369-4_5 |
0.155 |
|
| 2008 |
Rokita J, Krzyzak A, Suen CY. Cell phones personal authentication systems using multimodal biometrics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5112: 1013-1022. DOI: 10.1007/978-3-540-69812-8_101 |
0.152 |
|
| 2005 |
Chen GY, Bui TD, Krzyzak A. Image denoising using neighbouring wavelet coefficients Integrated Computer-Aided Engineering. 12: 99-107. |
0.152 |
|
| 2005 |
Li S, Fevens T, Krzyzak A, Jin C, Li S. Toward automatic computer aided dental X-ray analysis using level set method. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 8: 670-8. PMID 16685904 |
0.151 |
|
| 2005 |
Li S, Fevens T, Krzyzak A. A level set segmentation for computer-Aided dental X-ray analysis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 590-597. DOI: 10.1117/12.595537 |
0.15 |
|
| 2014 |
Chu JL, Krzyzak A. Application of support vector machines, convolutional neural networks and deep belief networks to recognition of partially occluded objects Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8467: 34-46. DOI: 10.1007/978-3-319-07173-2_4 |
0.15 |
|
| 2014 |
Chu JL, Krzyźak A. The Recognition Of Partially Occluded Objects with Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks Journal of Artificial Intelligence and Soft Computing Research. 4: 5-19. DOI: 10.2478/jaiscr-2014-0021 |
0.148 |
|
| 2005 |
Chen GY, Bui TD, Krzyzak A. Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features Pattern Recognition. 38: 2314-2322. DOI: 10.1016/j.patcog.2005.02.008 |
0.147 |
|
| 2010 |
Chen G, Bui TD, Krzyzak A. Denoising of three dimensional data cube using bivariate wavelet shrinking Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6111: 45-51. DOI: 10.1007/978-3-642-13772-3_5 |
0.147 |
|
| 2010 |
Sasiadek JZ, Walker MJ, Krzyzak A. Feature matching for UAV navigation in urban environments 2010 15th International Conference On Methods and Models in Automation and Robotics, Mmar 2010. 164-169. DOI: 10.1109/MMAR.2010.5587244 |
0.146 |
|
| 2013 |
Habibzadeh M, Krzyzak A, Fevens T. White blood cell differential counts using convolutional neural networks for low resolution images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7895: 263-274. DOI: 10.1007/978-3-642-38610-7_25 |
0.146 |
|
| 2008 |
Rokita J, Krzyzak A, Suen CY. Multimodal biometrics by face and hand images taken by a cell phone camera International Journal of Pattern Recognition and Artificial Intelligence. 22: 411-429. DOI: 10.1142/S0218001408006302 |
0.145 |
|
| 2016 |
Jeleń Ł, Krzyżak A, Fevens T, Jeleń M. Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Computers in Biology and Medicine. 79: 80-91. PMID 27768905 DOI: 10.1016/j.compbiomed.2016.10.007 |
0.145 |
|
| 2000 |
Krzyzak A, Rafajlowicz E, Pawlak M. Recovery of not necessarily band-limited signals from noisy observations Ieee International Symposium On Information Theory - Proceedings. 360. |
0.144 |
|
| 2011 |
Chen G, Bui TD, Krzyzak A. Denoising of three-dimensional data CUBE using bivariate wavelet shrinking International Journal of Pattern Recognition and Artificial Intelligence. 25: 403-413. DOI: 10.1142/S0218001411008725 |
0.143 |
|
| 2012 |
Habibzadeh M, Krzyzak A, Fevens T. Analysis of white blood cell differential counts using dual-tree complex wavelet transform and support vector machine classifier Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7594: 414-422. DOI: 10.1007/978-3-642-33564-8-50 |
0.142 |
|
| 2014 |
Karimi B, Krzyzak A. Computer-aided system for automatic classification of suspicious lesions in breast ultrasound images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8468: 131-142. DOI: 10.1007/978-3-319-07176-3_12 |
0.142 |
|
| 2023 |
Chen G, Krzyzak A. Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features. Sensors (Basel, Switzerland). 23. PMID 37112182 DOI: 10.3390/s23083842 |
0.139 |
|
| 2008 |
Jeleń Ł, Krzyzak A, Fevens T. Comparison of pleomorphic and structural features used for breast cancer malignancy classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5032: 138-149. DOI: 10.1007/978-3-540-68825-9_14 |
0.134 |
|
| 2009 |
Chen GY, Bui TD, Krzyzak A. Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms Pattern Recognition. 42: 2013-2019. DOI: 10.1016/j.patcog.2008.10.008 |
0.133 |
|
| 2006 |
Chen GY, Bui TD, Krzyzak A. Invariant ridgelet-fourier descriptor for pattern recognition Proceedings - International Conference On Pattern Recognition. 2: 768-771. DOI: 10.1109/ICPR.2006.722 |
0.13 |
|
| 2005 |
Chen GY, Bui TD, Krzyzak A. Image denoising with neighbour dependency and customized wavelet and threshold Pattern Recognition. 38: 115-124. DOI: 10.1016/j.patcog.2004.05.009 |
0.129 |
|
| 2009 |
Luciano L, Krzyzak A. Automated multimodal biometrics using face and ear Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5627: 451-460. DOI: 10.1007/978-3-642-02611-9_45 |
0.128 |
|
| 2004 |
Chen GY, Bui TD, Krzyzak A. Image compression with optimal wavelet Canadian Conference On Electrical and Computer Engineering. 1: 0209-0212. |
0.127 |
|
| 2015 |
Krzyzak A, Borkowski K. Theoretical analysis of phantom rotations in BSD-DTI Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 410-413. DOI: 10.1109/EMBC.2015.7318386 |
0.125 |
|
| 2006 |
Chen GY, Bui TD, Krzyzak A. Rotation invariant feature extraction using Ridgelet and Fourier transforms Pattern Analysis and Applications. 9: 83-93. DOI: 10.1007/s10044-006-0028-8 |
0.122 |
|
| 2001 |
Dong JX, Krzyzak A, Suen CY. Local learning framework for recognition of lowercase handwritten characters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2123: 226-238. |
0.122 |
|
| 2021 |
Chen GY, Xie W, Krzyzak A, Qian S. Hyperspectral image classification via principal component analysis, 2D spatial convolution, and support vector machines Journal of Applied Remote Sensing. 15. DOI: 10.1117/1.JRS.15.032202 |
0.119 |
|
| 2007 |
Karimi B, Krzyzak A. A study on significance of color in face recognition using several eigenface algorithms Canadian Conference On Electrical and Computer Engineering. 1309-1312. DOI: 10.1109/CCECE.2007.333 |
0.119 |
|
| 2001 |
Dong JX, Krzyzak A, Suen CY. A multi-net local learning framework for pattern recognition Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2001: 328-332. DOI: 10.1109/ICDAR.2001.953808 |
0.117 |
|
| 2011 |
Krzyzak A, Fevens T, Habibzadeh M, Jeleń Ł. Application of pattern recognition techniques for the analysis of histopathological images Advances in Intelligent and Soft Computing. 95: 623-644. |
0.116 |
|
| 2015 |
Sasiadek JZ, Green A, Krzyzak A. Nonparametric recursive identification and control of a flexible joint robot manipulator 2015 20th International Conference On Methods and Models in Automation and Robotics, Mmar 2015. 563-572. DOI: 10.1109/MMAR.2015.7283937 |
0.116 |
|
| 2008 |
Jelen L, Fevens T, Krzyzak A, Jeleń M. Discriminatory power of cells grouping features for breast cancer malignancy classification Ifmbe Proceedings. 21: 559-562. DOI: 10.1007/978-3-540-69139-6-140 |
0.114 |
|
| 2016 |
Weglarz WP, Krzyzak A, Stefaniuk M. ZTE imaging of tight sandstone rocks at 9.4 T - Comparison with standard NMR analysis at 0.05 T Magnetic Resonance Imaging. 34: 492-495. DOI: 10.1016/j.mri.2015.12.001 |
0.114 |
|
| 2017 |
Kohler M, Krzyzak A. Nonparametric Regression Based on Hierarchical Interaction Models Ieee Transactions On Information Theory. 63: 1620-1630. DOI: 10.1109/TIT.2016.2634401 |
0.103 |
|
| 2015 |
Krzyzak A, Klodowski K, Raszewski Z. Anisotropic phantoms in Magnetic Resonance Imaging Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 414-417. DOI: 10.1109/EMBC.2015.7318387 |
0.103 |
|
| 2015 |
Krzyzak A, Vališ D. Selected reliability measures of composites with natural fibres tested in climatic environment Icmt 2015 - International Conference On Military Technologies 2015. DOI: 10.1109/MILTECHS.2015.7153652 |
0.102 |
|
| 2004 |
Li S, Fevens T, Krzyżak A. A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets International Congress Series. 1268: 207-212. DOI: 10.1016/J.ICS.2004.03.349 |
0.098 |
|
| 2015 |
Krzyzak AT, Olejniczak Z. Improving the accuracy of PGSE DTI experiments using the spatial distribution of b matrix Magnetic Resonance Imaging. 33: 286-295. PMID 25460327 DOI: 10.1016/j.mri.2014.10.007 |
0.097 |
|
| 2012 |
Chen G, Bui TD, Krzyzak A, Coulombe S. Adaptive video denoising using block matching 3-D filtering 2012 25th Ieee Canadian Conference On Electrical and Computer Engineering: Vision For a Greener Future, Ccece 2012. DOI: 10.1109/CCECE.2012.6335062 |
0.096 |
|
| 1993 |
KRZYŻAK A, PARTYKA MA. On identification of block orientated systems by non-parametric techniques International Journal of Systems Science. 24: 1049-1066. DOI: 10.1080/00207729308949543 |
0.095 |
|
| 2016 |
Kłodowski K, Krzyzak AT. Innovative anisotropic phantoms for calibration of diffusion tensor imaging sequences Magnetic Resonance Imaging. 34: 404-409. DOI: 10.1016/j.mri.2015.12.010 |
0.091 |
|
| 2015 |
Chen G, Bui TD, Krzyzak A. Sparse support vector machine for pattern recognition Concurrency Computation. DOI: 10.1002/cpe.3492 |
0.09 |
|
| 2006 |
Li S, Fevens T, Krzyżak A, Li S. Automatic clinical image segmentation using pathological modeling, PCA and SVM Engineering Applications of Artificial Intelligence. 19: 403-410. DOI: 10.1016/j.engappai.2006.01.011 |
0.088 |
|
| 2015 |
Krzyzak AT, Klodowski K. The b matrix calculation using the anisotropic phantoms for DWI and DTI experiments Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 418-421. DOI: 10.1109/EMBC.2015.7318388 |
0.085 |
|
| 2008 |
Krzyzak A. A proven test newly applied Kunststoffe International. 98: 43-45. |
0.084 |
|
| 2015 |
Kaczmarek L, Maksimczuk M, Wejrzanowski T, Krzyzak A. High-resolution X-ray microtomography and nuclear magnetic resonance study of a carbonate reservoir rock International Multidisciplinary Scientific Geoconference Surveying Geology and Mining Ecology Management, Sgem. 779-786. |
0.079 |
|
| 2017 |
Askari Hemmat A, Thirulogasanthar K, Krzyżak A. Discretization of quaternionic continuous wavelet transforms Journal of Geometry and Physics. 117: 36-49. DOI: 10.1016/J.GEOMPHYS.2017.02.013 |
0.075 |
|
| 2016 |
Krzyzak AT, Habina I. Low field 1H NMR characterization of mesoporous silica MCM-41 and SBA-15 filled with different amount of water Microporous and Mesoporous Materials. 231: 230-239. DOI: 10.1016/j.micromeso.2016.05.032 |
0.072 |
|
| 2004 |
Krzyzak A, Fitzner K. Thermodynamic properties of liquid silver-antimony alloys determined from emf measurements Thermochimica Acta. 414: 115-120. DOI: 10.1016/j.tca.2003.12.005 |
0.071 |
|
| 2007 |
Li S, Fevens T, Krzyżak A, Jin C, Li S. Semi-automatic computer aided lesion detection in dental X-rays using variational level set Pattern Recognition. 40: 2861-2873. DOI: 10.1016/j.patcog.2007.01.012 |
0.068 |
|
| 2012 |
Suberlyak O, Krasinskiy V, Sikora J, Krzyzak A. Ammonia-free, low-toxic press-materials with improved electroinsulating properties based on modified novolak phenol-formaldehyde resin Chemistry and Chemical Technology. 6: 199-202. |
0.068 |
|
| 2018 |
Kohler M, Krzyżak A, Mallapur S, Platz R. Uncertainty Quantification in Case of Imperfect Models: A Non‐Bayesian Approach Scandinavian Journal of Statistics. 45: 729-752. DOI: 10.1111/sjos.12317 |
0.066 |
|
| 2015 |
Krzyzak A, Vališ D. Selected safety aspects of polymer composites with natural fibres Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, Esrel 2014. 903-909. |
0.065 |
|
| 2003 |
Ga̧sior W, Pstruś J, Moser Z, Krzyzak A, Fitzner K. Surface tension and thermodynamic properties of liquid Ag-Bi solutions Journal of Phase Equilibria. 24: 40-49. DOI: 10.1361/105497103770330983 |
0.064 |
|
| 2008 |
Ding W, Suen CY, Krzyzak A. A new courtesy amount recognition module of a Check Reading System Proceedings - International Conference On Pattern Recognition. |
0.056 |
|
| 2003 |
Krzyzak A, Garzeł G, Fitzner K. Thermodynamic properties of the liquid Ag-Bi-Pb solutions Archives of Metallurgy. 48: 371-382. |
0.055 |
|
| 2016 |
Devroye L, Krzyzak A. Random search under additive noise International Series in Operations Research and Management Science. 46: 383-417. |
0.055 |
|
| 2013 |
Greškovič F, Dulebová L, Duleba B, Krzyzak A. Criteria of maintenance for assessing the suitability of aluminum alloys for the production of interchangeable parts injection mold Eksploatacja I Niezawodnosc. 15: 434-440. |
0.052 |
|
| 2005 |
Krzyzak AT, Jasiński A, Adamek D. Qualification of the most statistically "sensitive" diffusion tensor imaging parameters for detection of spinal cord injury Acta Physica Polonica A. 108: 207-210. |
0.051 |
|
| 2007 |
Krzyzak A, Sikora JW. Processability of phenolic plastics determined by BIP method Polimery/Polymers. 52: 44-50. |
0.046 |
|
| 2016 |
Ebrahimi M, Suen C, Ormandjieva O, Krzyzak A. Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection Electronic Imaging. 2016: 1-9. DOI: 10.2352/ISSN.2470-1173.2016.17.DRR-063 |
0.044 |
|
| 2014 |
Krzyzak A, Prazmo J, Kucharczyk W. Effect of natural ageing on the physical properties of polypropylene composites Advanced Materials Research. 1001: 141-148. DOI: 10.4028/www.scientific.net/AMR.1001.141 |
0.044 |
|
| 2014 |
Krzyzak A, Drabik M, Zyśko Ł, Dulebova L. Selected properties and shrinkage compensating effect by injection moulding of origin and recycled thermoplastic composites with polypropylene (PP) matrix, talcum and glass fiber Advanced Materials Research. 1001: 187-193. DOI: 10.4028/www.scientific.net/AMR.1001.187 |
0.037 |
|
| 2014 |
Dulebova L, Duleba B, Krzyzak A. Study of the mechanical properties re-processed of thermoplastic polymer composites Advanced Materials Research. 1001: 194-198. DOI: 10.4028/www.scientific.net/AMR.1001.194 |
0.037 |
|
| 2011 |
Györfi L, Krzyzak A. Why L1 view and what is next? Kybernetika. 47: 840-854. |
0.032 |
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| 2015 |
Krzyzak A, Łagožna M, Nogaj A, Dulebova L. Selected properties of composites with polypropylene after ageing Key Engineering Materials. 635: 212-215. DOI: 10.4028/www.scientific.net/KEM.635.212 |
0.026 |
|
| 2014 |
S?siadek JZ, Green A, Ulrich S, Krzyzak A. Nonparametric identification and control of flexible joint robot manipulator 2014 19th International Conference On Methods and Models in Automation and Robotics, Mmar 2014. 221-228. DOI: 10.1109/MMAR.2014.6957355 |
0.015 |
|
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