Zobrazeno 1 - 10
of 4 229
pro vyhledávání: '"Niculae A"'
Autor:
Tiglis Mirela, Cobilinschi Cristian, Elena Mirea Liliana, Emil Băetu Alexandru, Peride Ileana, Paul Neagu Tiberiu, Niculae Andrei, Alexandru Checherită Ionel, Marina Grintescu Ioana
Publikováno v:
The Journal of Critical Care Medicine, Vol 7, Iss 3, Pp 184-191 (2021)
Postoperative anaemia can affect more than 90% of patients undergoing major surgeries. Patients develop an absolute iron deficiency in the face of significant blood loss or preoperative anaemia and major surgery. Studies have shown the negative impac
Externí odkaz:
https://doaj.org/article/d5f4191c61f24a0aa6be7f84b3916b57
Language models trained on large amounts of data are known to produce inappropriate content in some cases and require careful tuning to be used in the real world. We revisit the reward augmented decoding (RAD) approach to control the generation from
Externí odkaz:
http://arxiv.org/abs/2407.04615
Surveillance footage represents a valuable resource and opportunities for conducting gait analysis. However, the typical low quality and high noise levels in such footage can severely impact the accuracy of pose estimation algorithms, which are found
Externí odkaz:
http://arxiv.org/abs/2404.12183
Modern Hopfield networks have enjoyed recent interest due to their connection to attention in transformers. Our paper provides a unified framework for sparse Hopfield networks by establishing a link with Fenchel-Young losses. The result is a new fami
Externí odkaz:
http://arxiv.org/abs/2402.13725
Autor:
Mohammed, Wafaa, Niculae, Vlad
Document-level translation models are usually evaluated using general metrics such as BLEU, which are not informative about the benefits of context. Current work on context-aware evaluation, such as contrastive methods, only measure translation accur
Externí odkaz:
http://arxiv.org/abs/2402.01404
Autor:
Tokarchuk, Evgeniia, Niculae, Vlad
Continuous-output neural machine translation (CoNMT) replaces the discrete next-word prediction problem with an embedding prediction. The semantic structure of the target embedding space (i.e., closeness of related words) is intuitively believed to b
Externí odkaz:
http://arxiv.org/abs/2310.20620
Publikováno v:
E3S Web of Conferences, Vol 286, p 01006 (2021)
The use of biodiesel-diesel blends is a current solution to some important problems, such as the depletion of oil resources, global warming, and the pollutant emissions of smoke, carbon monoxide, and hydrocarbons of diesel engines. However, the use o
Externí odkaz:
https://doaj.org/article/7f79a729c8c04e7c903dcc0a74251115
Autor:
Sandor Raluca, Leucuta Daniel, Dronca Eleonora, Niculae Alexandru, Cret Victoria, Silaghi Ciprian, Suciu Soimita
Publikováno v:
Romanian Journal of Laboratory Medicine, Vol 23, Iss 4, Pp 385-396 (2015)
Serum paraoxonase-1 (PON1) binds mainly to high density lipoproteins (HDLs) and protects low density lipoproteins (LDLs) against oxidation. While paraoxonase and arylesterase activities are traditionally assayed, lactonase activity, accounting for pr
Externí odkaz:
https://doaj.org/article/9c4fabab15ad4184a34a6cfdb1d7ca49
Despite the tremendous success of Neural Machine Translation (NMT), its performance on low-resource language pairs still remains subpar, partly due to the limited ability to handle previously unseen inputs, i.e., generalization. In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/2307.12835
Autor:
Niculae, Vlad
In this brief note, we formulate Principal Component Analysis (PCA) over datasets consisting not of points but of distributions, characterized by their location and covariance. Just like the usual PCA on points can be equivalently derived via a varia
Externí odkaz:
http://arxiv.org/abs/2306.13503