Publikacje

Eksport 898 wyników :
2019
Hussain KF, Bassyouni MYousef, Gelenbe E.  2019.  ACCURATE, ENERGY-EFFICIENT CLASSIFICATION WITH SPIKING RANDOM NEURAL NETWORK. Probability in the Engineering and Informational Sciences.
Domino K, Gawron P.  2019.  An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams. International Journal of Applied Mathematics and Computer Science. 29(1):206.
Domino M, Domino K, Gajewski Z.  2019.  An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy. Biosystems. 175
Pojda D, Tomaka A A, Luchowski L, Skabek K, Tarnawski M.  2019.  Applying computational geometry to designing an occlusal splint. 6th International Symposium CompIMAGE’18.
Ostaszewski M, Miszczak J.A., Sadowski P, Banchi L..  2019.  Approximation of quantum control correction scheme using deep neural networks. Quantum Information Processing. 18:126
Domański A, Domańska J, Czachórski T, Klamka J, Szyguła J.  2019.  The AQM Dropping Packet Probability Function Based on Non-integer Order PI^αD^β Controller. Lecture Notes in Electrical Engineering. 496:36-48.
Domino M, Domino K, Pawlinski B, Sady M, Gajewska M, Gajewski Z.  2019.  Computational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus. Experimental Physiology. 104(3)
Tomaka A A, Luchowski L, Pojda D, Tarnawski M.  2019.  Dynamic Occlusion Surface Estimation from 4D Multimodal Data. Information Technology in Biomedicine.
Nalin M, Baroni I, Faiella G, Romano M, Matrisciano F, Gelenbe E, et al..  2019.  The European cross-border health data exchange roadmap: Case study in the Italian setting. Journal of Biomedical Informatics. On line, 19 April 2019, 103183.
Domino M, Domino K, Tomasz J, Pawlinski B, Gajewski Z.  2019.  The hierarchy of the features of uterine myoelectrical activity during estrus cycle in sows. 52nd Annual Conference of Physiology and Pathology of Reproduction. 54:p.26.
Grant E, Wossnig L, Ostaszewski M, Benedetti M.  2019.  An initialization strategy for addressing barren plateaus in parametrized quantum circuits.
Grant E, Wossnig L, Ostaszewski M, Benedetti M.  2019.  An initialization strategy for addressing barren plateaus in parametrized quantum circuits.
Grant E, Wossnig L, Ostaszewski M, Benedetti M.  2019.  An initialization strategy for addressing barren plateaus in parametrized quantum circuits. arXiv preprint arXiv:1903.05076.
Domino K.  2019.  Multivariate cumulants in features selection and outlier detection for financial data analysis. arXiv:1804.00541.
Puchała Z, Rudnicki Ł, Życzkowski K.  2019.  Pauli semigroups and unistochastic quantum channels. Physics Letters A. 383(20):2376-2381.
Gelenbe E, Zhang Y.  2019.  Performance Optimization With Energy Packets. IEEE Systems Journal.
Glos A, Miszczak J.A., Ostaszewski M.  2019.  QSWalk. jl: Julia package for quantum stochastic walks analysis. Computer Physics Communications. 235
Ostaszewski M, Grant E, Benedetti M.  2019.  Quantum circuit structure learning. arXiv preprint arXiv:1905.09692.
Ostaszewski M, Grant E, Benedetti M.  2019.  Quantum circuit structure learning.
Ostaszewski M, Grant E, Benedetti M.  2019.  Quantum circuit structure learning.
Glos A, Miszczak J.A..  2019.  The role of quantum correlations in Cop and Robber game. Quantum Studies: Mathematics and Foundations. 6(1)
Domino K.  2019.  Selected Methods for non-Gaussian Data Analysis.
Cholewa M, Głomb P, Romaszewski M.  2019.  A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification. IEEE Geoscience and Remote Sensing Letters. 16:467-471.
Glos A.  2019.  Spectral similarity for Barabási-Albert and Chung-Lu models. Physica A: Statistical Mechanics and its Applications. 516
Przewięźlikowski M, Grabowski M, Kurzyk D, Rycerz K.  2019.  Support for High-Level Quantum Bayesian Inference. Computational Science – ICCS 2019.

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