Katedra Matematyki Stosowanej - lista publikacji
Nadjednostka:
[2024] [2023] [2022] [2021] [2020] [2019] [2018] [2017] [2016] [2015] [2014] [2013] [2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004] [2003] [2002] [2001] [2000] [1999] [1998] [1997] [1996] [1995] [1994] [1993] [1992] [1991] [1990] [1989] [1988] [1987] [1986] [1985] [1984] [1983] [1982] [1981] [1980] [1979] [1978] [1977] [1974] [1971] [1955]
1-20 z 20.
2020
20.
19.
Zespolone proste równokątne i hipoteza Zaunera, Wiadomości Matematyczne vol. 56 (2) (2020), 197-213
18.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science volume 12534 (2020), 220-231
17.
Iterative Imputation of Missing Data using Auto-encoder Dynamics, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science, volume 12534 (2020), 258-269
16.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
15.
Tomasz Danel, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Łukasz Struski, Agnieszka Słowik, Łukasz Maziarka
Spatial Graph Convolutional Networks, International Conference On Neural Information Processing vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
14.
Can auto-encoders help with filling missing data?, International Conference On Learning Represenation (workshop Track) (2020), 6
13.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference On Machine Learning (workshop Track) (2020), 6
12.
Morphophoric POVMs, generalised qplexes, and 2-designs, Quantum vol. 4 (2020), 338
11.
Cramer-Wold Auto-Encoder, Journal of Machine Learning Research vol. 21 (2020), 1-28
10.
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
9.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
8.
Andrzej Grzesik, Daniel Král, László Miklós Lovász
Elusive extremal graphs, Proceedings of the London Mathematical Society vol. 121 (2020), 1685-1736
7.
Timothy F.N. Chan, Andrzej Grzesik, Daniel Král, Jonathan A. Noel
Cycles of length three and four in tournaments, Journal of Combinatorial Theory - Series A vol. 175 (2020), 105276
6.
Daria Boratyn, Werner Kirsch, Wojciech Słomczyński, Dariusz Stolicki, Karol Życzkowski
Average weights and power in weighted voting games, Mathematical Social Science vol. 108 (2020), 90-99
5.
Pure states of maximum uncertainty with respect to a given POVM , Open Systems and Information Dynamics vol. 27 (2020), 2050002 (13 pp)
4.
Marek Śmieja, Łukasz Struski, Mario A.T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, Neural Networks vol. 127 (2020), 193-203
3.
Jarosław Flis, Wojciech Słomczyński, Dariusz Stolicki
2.
Pointed subspace approach to incomplete data, Journal of Classification vol. 37 (2020), 42-57
1.
Piotr Kościelniak, Łukasz Kubica, Marcin Mazur, Piotr Oprocha