Szilárd Molnár, Levente Tamás, “Variational autoencoders for 3D data processing”, Artif Intell Rev, 57:2 (2024)
Ian Grooms, Christopher Riedel, “A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation”, Remote Sensing, 16:13 (2024), 2377
Aleksandr Sergeev, Elena Baglaeva, Andrey Shichkin, Alexander Buevich, “The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil”, Earth Sci Inform, 2024
Pedro Fernandes, Séamus Ó Ciardhuáin, Mário Antunes, “Unveiling Malicious Network Flows Using Benford's Law”, Mathematics, 12:15 (2024), 2299
C. M. Salooja, Arjun Sanker, K. Deepthi, A. S. Jereesh, “An ensemble approach for circular RNA-disease association prediction using variational autoencoder and genetic algorithm”, J. Bioinform. Comput. Biol., 22:04 (2024)
Nir Y. Krakauer, “Extending the blended generalized extreme value distribution”, Discov Civ Eng, 1:1 (2024)
Vladimir Glinskiy, Artem Logachov, Olga Logachova, Helder Rojas, Lyudmila Serga, Anatoly Yambartsev, “Asymptotic Properties of a Statistical Estimator of the Jeffreys Divergence: The Case of Discrete Distributions”, Mathematics, 12:21 (2024), 3319
Zahra Ghorbanali, Fatemeh Zare-Mirakabad, Najmeh Salehi, Mohammad Akbari, Ali Masoudi-Nejad, “DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing”, BMC Bioinformatics, 24:1 (2023)
许康 Xu Kang, 祝永新 Zhu Yongxin, 吴波 Wu Bo, 郑小盈 Zheng Xiaoying, 陈凌曜 Chen Lingyao, “基于隐私保护机制的辐射光源衍射图像筛选”, Laser Optoelectron. Prog., 60:10 (2023), 1010020
“Abstracts of talks given at the 7th International Conference on Stochastic Methods, I”, Theory Probab. Appl., 67:4 (2022), 652–652