Zobrazeno 1 - 10
of 4 974
pro vyhledávání: '"Mladenovic, A."'
Autor:
Weilenmann, Christoph, Ziogas, Alexandros, Zellweger, Till, Portner, Kevin, Mladenović, Marko, Kaniselvan, Manasa, Moraitis, Timoleon, Luisier, Mathieu, Emboras, Alexandros
Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plas
Externí odkaz:
http://arxiv.org/abs/2402.16628
Approximating invariant subspaces of generalized eigenvalue problems (GEPs) is a fundamental computational problem at the core of machine learning and scientific computing. It is, for example, the root of Principal Component Analysis (PCA) for dimens
Externí odkaz:
http://arxiv.org/abs/2311.10459
Bayesian Persuasion is proposed as a tool for social media platforms to combat the spread of misinformation. Since platforms can use machine learning to predict the popularity and misinformation features of to-be-shared posts, and users are largely m
Externí odkaz:
http://arxiv.org/abs/2310.12065
Autor:
Nina Rajovic, Nikola Grubor, Andja Cirkovic, Ravindra Maheswaran, Peter A. Bath, Dan Green, Ilaria Bellantuono, Ognjen Milicevic, Selma Kanazir, Dragan Miljus, Snezana Zivkovic, Dragana Vidojevic, Natasa Mickovski, Ivana Rakocevic, Ivan Ivanovic, Aleksandra Mladenovic, Elizabeth Goyder, Natasa Milic
Publikováno v:
Environmental Health, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Background Substantial inequalities in the overall prevalence and patterns of multimorbidity have been widely reported, but the causal mechanisms are complex and not well understood. This study aimed to identify common patterns of multimorbi
Externí odkaz:
https://doaj.org/article/cfeaa8b57bc6463ab4a1e40761b3e3fa
Autor:
Djordje Mladenovic, Milos Antonijevic, Luka Jovanovic, Vladimir Simic, Miodrag Zivkovic, Nebojsa Bacanin, Tamara Zivkovic, Jasmina Perisic
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)
Abstract This study examines the formidable and complex challenge of insider threats to organizational security, addressing risks such as ransomware incidents, data breaches, and extortion attempts. The research involves six experiments utilizing ema
Externí odkaz:
https://doaj.org/article/9bf627b47654456198370d38bdcbab87
In Valence Change Memory (VCM) cells, the conductance of an insulating switching layer is reversibly modulated by creating and redistributing point defects under an external field. Accurate simulations of the switching dynamics of these devices can b
Externí odkaz:
http://arxiv.org/abs/2212.14090
Recent methods for deep metric learning have been focusing on designing different contrastive loss functions between positive and negative pairs of samples so that the learned feature embedding is able to pull positive samples of the same class close
Externí odkaz:
http://arxiv.org/abs/2210.04402
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 2, Pp 80-87 (2024)
In this research, the impact of various weather conditions on digital television signals is investigated. Machine learning and nonlinear regression models were used to estimate the strength of the received signal. The received signal strength might v
Externí odkaz:
https://doaj.org/article/651f14b2468d4485b6a60cf4dbf98b46
We present a framework dedicated to modelling the resistive switching operation of Valence Change Memory (VCM) cells. The method combines an atomistic description of the device structure, a Kinetic Monte Carlo (KMC) model for the creation and diffusi
Externí odkaz:
http://arxiv.org/abs/2207.01095
Publikováno v:
Pattern Recognition, Volume 137, 2023, 109269, ISSN 0031-3203
K-means plays a vital role in data mining and is the simplest and most widely used algorithm under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its performance drastically drops when applied to vast amounts of data. Therefor
Externí odkaz:
http://arxiv.org/abs/2204.07485