Zobrazeno 1 - 10
of 6 126
pro vyhledávání: '"Ács A"'
Autor:
Dai, Yujie, Sullivan, Brian, Montout, Axel, Dillon, Amy, Waller, Chris, Acs, Peter, Denholm, Rachel, Williams, Philip, Hay, Alastair D, Santos-Rodriguez, Raul, Dowsey, Andrew
The use of machine learning and AI on electronic health records (EHRs) holds substantial potential for clinical insight. However, this approach faces significant challenges due to data heterogeneity, sparsity, temporal misalignment, and limited label
Externí odkaz:
http://arxiv.org/abs/2411.17645
Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably scarce. To address this gap our paper introduces HunSum-2 an open-sou
Externí odkaz:
http://arxiv.org/abs/2404.03555
Data augmentation methods for neural machine translation are particularly useful when limited amount of training data is available, which is often the case when dealing with low-resource languages. We introduce a novel augmentation method, which gene
Externí odkaz:
http://arxiv.org/abs/2311.02355
We present a generic framework for data augmentation via dependency subtree swapping that is applicable to machine translation. We extract corresponding subtrees from the dependency parse trees of the source and target sentences and swap these across
Externí odkaz:
http://arxiv.org/abs/2307.07025
Publikováno v:
Nat. Lang. Eng. 30 (2024) 753-792
We introduce an extensive dataset for multilingual probing of morphological information in language models (247 tasks across 42 languages from 10 families), each consisting of a sentence with a target word and a morphological tag as the desired label
Externí odkaz:
http://arxiv.org/abs/2306.06205
Autor:
Weitz, Philippe, Sartor, Viktoria, Acs, Balazs, Robertson, Stephanie, Budelmann, Daniel, Hartman, Johan, Rantalainen, Mattias
Computational pathology methods have the potential to improve access to precision medicine, as well as the reproducibility and accuracy of pathological diagnoses. Particularly the analysis of whole-slide-images (WSIs) of immunohistochemically (IHC) s
Externí odkaz:
http://arxiv.org/abs/2303.06727
Federated learning has become a widely used paradigm for collaboratively training a common model among different participants with the help of a central server that coordinates the training. Although only the model parameters or other model updates a
Externí odkaz:
http://arxiv.org/abs/2303.03908
We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1.14M news articles. The dataset is built by collecting, cleaning and deduplicating data from 9 major Hungarian news sites through CommonCrawl. Using this dataset
Externí odkaz:
http://arxiv.org/abs/2302.00455
Autor:
Ács András, Ferincz Árpád, Kovács Anikó, Jancsek-Turóczi Beatrix, Gelencsér András, Kiss Gyula, Kováts Nora
Publikováno v:
Open Chemistry, Vol 11, Iss 12, Pp 1954-1958 (2013)
Externí odkaz:
https://doaj.org/article/3531a1a664b644caa23008c2f0040174
Autor:
Skribek, Benjamin a, b, Szabó, Anett b, c, Ács, Júlia b, c, Hegyi, Péter b, d, e, Mátrai, Péter d, Nyirády, Péter b, c, Ács, Nándor b, f, Majoros, Attila b, c, Deák, Pál Ákos a, b, ⁎
Publikováno v:
In Heliyon 15 October 2024 10(19)