Export 881 results:
Wang L., Gelenbe E.  2018.  Adaptive Dispatching of Tasks in the Cloud. IEEE Transactions on Cloud Computing . 6(1):33-45.
Romaszewski M, Głomb P, Cholewa M.  2018.  Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data. Computer and Information Sciences.
Oszmaniec M, Maciejewski FB, Puchała Z.  2018.   All quantum measurements can be simulated using projective measurements and postselection. preprint, arXiv:1807.08449 .
Nechita I, Puchała Z, Pawela Ł, Życzkowski K.  2018.  Almost all quantum channels are equidistant. Journal of Mathematical Physics. 59:052201.
Głomb P, Romaszewski M, Cholewa M, Domino K.  2018.  Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns. Forensic Science International.
Pojda D, Tomaka A A, Luchowski L, Skabek K, Tarnawski M.  2018.  Applying computational geometry to designing an occlusal splint. 6th International Symposium CompIMAGE’18.
Ostaszewski M, Miszczak J.A., Sadowski P, Banchi L..  2018.  Approximation of quantum control correction scheme using deep neural networks.
Głomb P, Domino K, Romaszewski M, Cholewa M.  2018.  Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. arXiv:1808.03513v1.
Gasser O, Scheitle Q, Foremski P, Lone Q, Korczynski M, Strowes SD, Hendriks L, Carle G.  2018.  Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists. ACM Internet Measurement Conference 2018.
Korzekwa K, Czachórski S, Puchała Z, Życzkowski K.  2018.  Coherifying quantum channels. New Journal of Physics. 20:043028.
Domino M, Domino K, Pawlinski B, Sady M, Gajewska M, Gajewski Z.  2018.  Computational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus. Experimental Physiology.
Kurzyk D, Pawela Ł, Puchała Z.  2018.  Conditional entropic uncertainty relations for Tsallis entropies. Quantum Information Processing. 17:193.
Brun O, Yin Y, Gelenbe E.  2018.  Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments. The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops.
Brun O, Yin Y, Gelenbe E, Y. Kadioglu M, Augusto-Gonzalez J, Ramos M.  2018.  Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments. 1st International Symposia on Computer and Information Sciences, ISCIS 2018.
Korzekwa K, Czachórski S, Puchała Z, Życzkowski K.  2018.  Distinguishing classically indistinguishable states and channels. preprint, arXiv:1812.09083.
Różańska A, Jarynowski A, Kopeć-Godlewska K, Wójkowska-Mach J, Misiewska-Kaczur A, Lech M, Rozwadowska M, Karwacka M, Liberda J, Domańska J.  2018.  Does surgical site infection after Caesarean section in Polish hospitals reflect high-quality patient care or poor postdischarge surveillance? Results from a 3-year multicenter study. American Journal of Infection Control. 46(1):20-25.
Domino K, Gawron P, Pawela Ł.  2018.  Efficient computation of higher order cumulant tensors. SIAM J. SCI. COMPUT.. 40(3):A1610.
Gelenbe E, Kadioglu YMurat.  2018.  Energy life-time of wireless nodes with network attacks and mitigation. 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018; Kansas City; United States.
Domańska J, Nowak M, Nowak S, Czachórski T.  2018.  European Cybersecurity Research and the SerIoT Project. Communications in Computer and Information Science . 935:166-173.
Rudnicki Ł, Puchała Z, Życzkowski K.  2018.  Gauge invariant information concerning quantum channels. Quantum. 2:60.