Publikacje w roku 2013

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[1] Acquistapace P., Bucci F., Lasiecka I.: A theory of the infinite horizon LQ-problem for composite systems of PDEs with boundary control. SIAM JOURNAL ON MATHEMATICAL ANALYSIS, vol. 45, No. 3, 2013, ss. 1825-1870, 37 poz. bibl.
[2] Bereta M., Karczmarek P., Pedrycz W., Reformat M.: Local descriptors in application to the aging problem in face recognition. PATTERN RECOGNITION , vol. 46, No. 46, 2013, ss. 2634-2646, 47 poz. bibl.
[3] Caiafa C., Cichocki A.: Computing sparse representations of multidimensional signals using Kronecker Bases. NEURAL COMPUTATION , vol. 25, No. 1, 2013, ss. 186-220, 47 poz. bibl. 
[4] Caiafa C., Cichocki A.: Multidimensional compressed sensing and their applications. WILEY INTERDISCIPLINARY REVIEWS: DATA MINING AND KNOWLEDGE DISCOVERY , vol. 3, No. 6, 2013, ss. 355-380, 106 poz. bibl.
[5] Chueshov I., Lasiecka I., Webster J.: Evolution semigroups in supersonic flow-plate interactions. JOURNAL OF DIFFERENTIAL EQUATIONS, vol. 254, No. 4, 2013, ss. 1741-1773, 44 poz. bibl.
[6] Cong F., He Z., Hamalainen J., Leppanen P., Lyytinen H., Cichocki A., Ristaniemi T.: Validating rationale of group-level component analysis based on estimating number of sources in EEG through model order selection. JOURNAL OF NEUROSCIENCE METHODS, vol. 212, No. 1, 2013, ss. 165-172, 50 poz. bibl.
[7] Cong F., Phan A., Astikainen P., Zhao Q., Wu Q., Hietanen J., Ristaniemi T., Cichocki A.: Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 23, No. 2, 2013, ss. 1-18, 57 poz. bibl.
[8] Coroianu L., Gągolewski M., Grzegorzewski P.: Nearest piecewise linear approximation of fuzzy numbers. FUZZY SETS AND SYSTEMS, vol. 233, 2013, ss. 26-51, 38 poz. bibl.
[9] Deng W., Hu F., Wang G., Błaszczyński J., Słowiński R., Szeląg M.: A novel method for elimination of inconsistencies in ordinal classification with monotonicity constraints. FUNDAMENTA INFORMATICAE, vol. 126, No. 4, 2013, ss. 377-395.
[10] Evtushenko Y., Tretiakow A.: pth-Order approximation of the solution set of nonlinear equations. COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, vol. 53, No. 12, 2013, ss. 1763-1780, 11 poz. bibl.
[11] Ganghoffer J., Sokołowski J.: A micromechanical approach to volumetric and surface growth in the framework of shape optimization. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE, vol. 74, 2014 [druk w 2013 roku], ss. 207-226.
[12] Gągolewski M.: Scientific impact assessment cannot be fair. JOURNAL OF INFORMETRICS, vol. 7, No. 4, 2013, ss. 792-802, 26 poz. bibl.
[13] Geredeli P., Lasiecka I.: Asymptotic analysis and upper semicontinuity with respect to rotational inertia of attractors to von Karman plates with geometrically localized dissipation and critical nonlinearity. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, vol. 91, 2013, ss. 72-92.
[14] Greco S., Słowiński R., Szczęch I.: Finding meaningful Bayesian confirmation measures. FUNDAMENTA INFORMATICAE, vol. 127, No. 1-4, 2013, ss. 161-176, 43 poz. bibl.
[15] Greco S., Słowiński R., Zielniewicz P.: Putting dominance-based rough set approach and robust ordinal regression together. DECISION SUPPORT SYSTEMS, vol. 54, No. 2, 2013, ss. 891-903, 45 poz. bibl.
[16] Grzegorczyk W., Medak B., Tretiakow A.: Application of p-regularity theory to nonlinear boundary value problems. BOUNDARY VALUE PROBLEMS, 2013, ss. 1-13, 8 poz. bibl.
[17] Grzegorzewski P.: On some basic concepts in probability of IF-events. INFORMATION SCIENCES, vol. 232, 2013, ss. 411-418, 24 poz. bibl.
[18] Horabik J., Nahorski Z.: Improving resolution of a spatial inventory with a statistical inference approach. CLIMATIC CHANGE, vol. 124, No. 3, 2014 [druk w 2013 roku], ss. 575-589, 20 poz. bibl.
[19] Hryniewicz O., Nahorski Z., Verstraete J., Horabik J., Jonas M.: Compliance for uncertain inventories via probabilistic / fuzzy comparison of alternatives. CLIMATIC CHANGE, vol. 124, No. 3, 2014 [druk w 2013 roku], ss. 519-534, 34 poz. bibl.
[20] Huang W., Oh S., Guo Z., Pedrycz W.: A space search optimization algorithm with accelerated convergence strategies. APPLIED SOFT COMPUTING, vol. 13, No. 13, 2013, ss. 4659-4675, 36 poz. bibl.
[21] Huang W., Oh S., Pedrycz W.: A fuzzy time-dependent project scheduling problem. INFORMATION SCIENCES, vol. 246, No. 246, 2013, ss. 100-114, 35 poz. bibl.
[22] Izakian H., Pedrycz W., Jamal I.: Clustering spatiotemporal data: an augmented fuzzy C-Means. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 21, No. 5, 2013, ss. 855-868, 62 poz. bibl. 
[23] Jukic A., Kopriva I., Cichocki A.: Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. BIOMEDICAL SIGNAL PROCESSING AND CONTROL , vol. 8, No. 6, 2013, ss. 755-763.
[24] Kadziński M., Greco S., Słowiński R.: RUTA: a framework for assessing and selecting additive value functions on the basis of rank related requirements. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, vol. 41, No. 4, 2013, ss. 735-751.
[25] Kadziński M., Greco S., Słowiński R.: Selection of a representative value function for robust ordinal regression in group decision making. GROUP DECISION AND NEGOTIATION , vol. 22, No. 3, 2013, ss. 429-462, 28 poz. bibl.
[26] Kadziński M., Słowiński R.: DIS-CARD: on requirements about desired cardinality of classes in multiple criteria sorting problems. JOURNAL OF GLOBAL OPTIMIZATION, vol. 56, No. 3, 2013, ss. 1143-1166, 26 poz. bibl.
[27] Kotłowski W., Słowiński R.: On nonparametric ordinal classification with monotonicity constraints. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 25, No. 11, 2013, ss. 2576-2589, 47 poz. bibl.
[28] Krajewski W., Viaro U.: A method for the integer-order approximation of fractional-order systems. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, vol. 351, No. 1, 2014 [druk w 2013 roku], ss. 555-564, 26 poz. bibl.
[29] Krawczak M., Szkatuła G.: An approach to dimensionality reduction in time series. INFORMATION SCIENCES, vol. 260, 2014 [druk w 2013 roku], ss. 15-36, 79 poz. bibl. 
[30] Kulczycki P., Charytanowicz M.: Conditional parameter identification with different losses of under- and overestimation. APPLIED MATHEMATICAL MODELLING, vol. 37, No. 4, 2013, ss. 2166-2177, 28 poz. bibl.
[31] Lasiecka I., Wilke M.: Maximal regularity and global existence of solutions to a quasilinear thermoelastic plate system. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS (DCDS-A), vol. 33, No. 11-12, 2013, ss. 5189-5202, 50 poz. bibl.
[32] Li D., Pedrycz W.: A central profile-based 3D face pose estimation. PATTERN RECOGNITION , vol. 47, No. 47, 2013, ss. 525-534, 25 poz. bibl.
[33] Liang D., Liu D., Pedrycz W., Hu P.: Triangular fuzzy decision-theoretic rough sets. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 54, No. 54, 2013, ss. 1087-1106, 67 poz. bibl.
[34] Malinowski J.: A Monte Carlo Method for estimating reliability parameters of a complex repairable technical system with inter-component dependencies. IEEE TRANSACTIONS ON RELIABILITY, vol. 62, No. 1, 2013, ss. 256-266, 17 poz. bibl.
[35] McCollum D., Krey V., Makowski M., Riahi K.: Climate Policies can help resolve energy security and air pollution challenges. CLIMATIC CHANGE, vol. 119, No. 2, 2013, ss. 479-494, 29 poz. bibl.
[36] Medak B., Tretiakow A., Żołądek H.: Solutions to some singular nonlinear boundary value problems. TOPOLOGICAL METHODS IN NONLINEAR ANALYSIS, vol. 41, No. 2, 2013, ss. 255-265.
[37] Nowak P., Romaniuk M.: A fuzzy approach to option pricing in a levy process setting. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, vol. 23, No. 3, 2013, ss. 613-622, 33 poz. bibl.
[38] Park B., Oh S., Pedrycz W.: The design of polynomial function-based neural network predictors for detection of software defects. INFORMATION SCIENCES, vol. 229, 2013, ss. 40-57, 38 poz. bibl.
[39] Pawłow-Niezgódka I., Suzuki T., Tasaki S.: Stationary solutions to a strain-gradient type thermoviscoelastic system. DIFFERENTIAL AND INTEGRAL EQUATIONS, vol. 25, No. 3-4, 2012 [druk w 2013 roku], ss. 289-340, 44 poz. bibl.
[40] Pawłow-Niezgódka I., Zajączkowski W.: Global regular solutions to a Kelvin-Voigt type thermoviscoelastic system. SIAM JOURNAL ON MATHEMATICAL ANALYSIS, vol. 45, No. 4, 2013, ss. 1997-2045, 31 poz. bibl.
[41] Pedrycz W.: Proximity-based clustering: a search for structural consistency in data with semantic blocks of features. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 21, No. 5, 2013, ss. 978-982, 17 poz. bibl.
[42] Pedrycz W., Al-Hmouz R., Morfeq A., Balamash A.: The design of free structure granular mappings: the use of the principle of justifiable granularity. IEEE TRANSACTIONS ON CYBERNETICS, vol. 43, No. 6, 2013, ss. 2105-2113, 26 poz. bibl. 
[43] Pedrycz W., Homenda W.: Building the fundamentals of granular computing: a principle of justifiable granularity. APPLIED SOFT COMPUTING, vol. 13, 2013, ss. 4209-4218, 25 poz. bibl.
[44] Pedrycz W., Oh S., Kim W., Park B.: A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. NEUROCOMPUTING, vol. 119, No. 119, 2013, ss. 292-307, 27 poz. bibl.
[45] Phan A., Tichavsky P., Cichocki A.: CANDECOMP/PARAFAC decomposition of high-order tensor through tensor reshaping. IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 61, No. 19, 2013, ss. 4847-4860, 56 poz. bibl.
[46] Phan A., Tichavsky P., Cichocki A.: Fast alternating LS algorithms for high order CANDECOMP/PARAFAC tensor factorizations. IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 61, No. 19, 2013, ss. 4834-4846, 52 poz. bibl. 
[47] Pohjola M., Pohjola P., Tainio M., Tuomisto J.: Perspectives to performance of environment and health assessments and models?from outputs to outcomes? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 10, No. 7, 2013, ss. 2621-2642, 119 poz. bibl.
[48] Schimperna G., Pawłow-Niezgódka I.: A Cahn-Hilliard equation with singular diffusion. JOURNAL OF DIFFERENTIAL EQUATIONS, vol. 254, No. 2, 2013, ss. 779-803, 29 poz. bibl.
[49] Schimperna G., Pawłow-Niezgódka I.: On a class of Cahn-Hilliard models with nonlinear diffusion. SIAM JOURNAL ON MATHEMATICAL ANALYSIS, vol. 45, No. 1, 2013, ss. 31-63, 49 poz. bibl.
[50] Tainio M., Juda-Rezler K., Reizer M., Warchałowski A., Trapp W., Skotak K.: Future climate and adverse health effects caused by fine particulate matter air pollution: case study for Poland. REGIONAL ENVIRONMENTAL CHANGE, vol. 13, No. 3, 2013, ss. 705-715, 59 poz. bibl.
[51] Tretiakow A.: pth-Order optimality conditions in singular calculus of variations: elements of p-Regularity theory. DOKLADY MATHEMATICS, vol. 88, No. 2, 2013, ss. 524-528, 5 poz. bibl.
[52] Tretiakow A., Tyrtyshnikov E. ..: A finite gradient-projective solver for a quadratic programming problem. RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, vol. 28, No. 3, 2013, ss. 289-300.
[53] Tretiakow A., Tyrtyshnikov E. ..: Solving the general quadratic programming problem in a finite number of steps. DOKLADY MATHEMATICS, vol. 88, No. 1, 2013, ss. 438-440.
[54] Walukiewicz S.: The market triple. CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, vol. 21, 2013, 10 poz. bibl.
[55] Yao J., Vasilakos A. .., Pedrycz W.: Granular computing: perspectives and challenges. IEEE TRANSACTIONS ON CYBERNETICS, vol. 43, No. 6, 2013, ss. 1977-1989, 129 poz. bibl.
[56] Yu Y., Pedrycz W., Miao D.: Neighborhood rough sets based multi-label classification for automatic image annotation. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 54, No. 54, 2013, ss. 1373-1387, 42 poz. bibl.
[57] Zhang H., Pedrycz W., Miao D., Zhong C.: A global structure-based algorithm for detecting the principal graph from complex data. PATTERN RECOGNITION , vol. 46, No. 46, 2013, ss. 1638-1647, 33 poz. bibl.
[58] Zhang Y., Zhou G., Jin J., Wang X., Cichocki A.: Spatial-temporal discriminant analysis for ERP-based brain-computer interface. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 21, No. 2, 2013, ss. 233-243, 43 poz. bibl.
[59] Zhao J., Zhou G., Zhang L., Cichocki A.: Kernelization of tensor-based models for multiway data analysis. IEEE SIGNAL PROCESSING MAGAZINE, vol. 30, No. 4, 2013, ss. 137-148.
[60] Zhao Q., Caiafa C., Mandic D., Chao Z., Nagasaka Y., Fujii N., Zhang A., Cichocki A.: Higher-order partial least squares (HOPLS): a generalized multi-linear regression method. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 35, No. 7, 2013, ss. 1660-1673.
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