Zobrazeno 1 - 10
of 22 581
pro vyhledávání: '"MILENKOVIĆ, A."'
Autor:
Ana Zdravković
Publikováno v:
Eudaimonia, Vol 5, Iss 2 (2021)
U uporednoj i domaćoj pravnoj praksi često dolazi do krivičnog gonjenja lica za radnje koje u sebi sadrže i elemente prekršaja, privrednog ili disciplinskog prestupa, a za koje je već suđeno u drugom kaznenom postupku i time do povrede načela
Externí odkaz:
https://doaj.org/article/1dc18d6bf85c4b90bffbeef882f3ecc0
Autor:
Đurđević, Đorđe
Publikováno v:
Polja / Fields. (539):141-143
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1131716
Data deduplication, one of the key features of modern Big Data storage devices, is the process of removing replicas of data chunks stored by different users. Despite the importance of deduplication, several drawbacks of the method, such as storage ro
Externí odkaz:
http://arxiv.org/abs/2411.01407
The performance of Transfer Learning (TL) heavily relies on effective pretraining, which demands large datasets and substantial computational resources. As a result, executing TL is often challenging for individual model developers. Federated Learnin
Externí odkaz:
http://arxiv.org/abs/2410.13045
Rank aggregation combines multiple ranked lists into a consensus ranking. In fields like biomedical data sharing, rankings may be distributed and require privacy. This motivates the need for federated rank aggregation protocols, which support distrib
Externí odkaz:
http://arxiv.org/abs/2409.00848
A combinatorial trade is a pair of sets of blocks of elements that can be exchanged while preserving relevant subset intersection constraints. The class of balanced and swap-robust minimal trades was proposed in [1] for exchanging blocks of data chun
Externí odkaz:
http://arxiv.org/abs/2406.11075
Graph neural networks (GNNs) have become instrumental in diverse real-world applications, offering powerful graph learning capabilities for tasks such as social networks and medical data analysis. Despite their successes, GNNs are vulnerable to adver
Externí odkaz:
http://arxiv.org/abs/2406.07917
We provide an overview of the emergence of large language models for scientific computing applications. We highlight use cases that involve natural language processing of scientific documents and specialized languages designed to describe physical sy
Externí odkaz:
http://arxiv.org/abs/2406.07259
Autor:
Novaković Ivan
Publikováno v:
Megatrend Revija, Vol 16, Iss 2, Pp 183-190 (2019)
Externí odkaz:
https://doaj.org/article/ffb2a632e2cb4076a012ab9680716f6f