Zobrazeno 1 - 10
of 6 242
pro vyhledávání: '"P. Rus"'
Publikováno v:
European Psychiatry, Vol 67, Pp S333-S333 (2024)
Introduction The perception that individuals afflicted with mental disorders may exhibit potential harm or unpredictability is common in the general population and, as studies have shown, mental health-related stigma is not confined to the broader pu
Externí odkaz:
https://doaj.org/article/4d925da4392241d5907e0fcf36cc01bb
Autor:
D. Őri, P. Szocsics, T. Molnár, L. Bankovska Motlova, O. Kazakova, S. Mörkl, M. Wallies, M. Abdulhakim, S. Boivin, K. Bruna, C. Cabaços, E. A. Carbone, E. Dashi, G. Grech, S. Greguras, I. Ivanovic, K. Guevara, S. Kakar, K. Kotsis, I. M. I. Klinkby, J. Maslak, S. Matheiken, A. Mirkovic, N. Nechepurenko, A. Panayi, A. T. Pereira, E. Pomarol-Clotet, S. Raaj, P. Rus Prelog, J. Soler-Vidal, R. Strumila, F. Schuster, H. Kisand, A. Reim, G. Ahmadova, M. Vircik, H. Yilmaz Kafali, N. Grinko, Z. Győrffy, S. Rózsa
Publikováno v:
European Psychiatry, Vol 67, Pp S62-S63 (2024)
Introduction Mental health-related stigma occurs not only within the public community but is also an issue among healthcare professionals. The relationship between national culture and provider stigma remains yet to be empirically attested. Objecti
Externí odkaz:
https://doaj.org/article/47890f6524a843baaea033a81064688b
Publikováno v:
European Psychiatry, Vol 67, Pp S789-S789 (2024)
Introduction In recent years, there has been a concerning increase in suicidal thoughts and, in some countries, completed suicides, amplified by the COVID-19 pandemic. Screening for suicidal ideation (SI) in the general population is limited due to e
Externí odkaz:
https://doaj.org/article/aaa9998129584226af74cb56a457ed5d
For gradient-based machine learning (ML) methods commonly adopted in practice such as stochastic gradient descent, the de facto differential privacy (DP) technique is perturbing the gradients with random Gaussian noise. Data valuation attributes the
Externí odkaz:
http://arxiv.org/abs/2412.17008
This paper challenges the prevailing view that convolutional neural network (CNN) filters become increasingly specialized in deeper layers. Motivated by recent observations of clusterable repeating patterns in depthwise separable CNNs (DS-CNNs) train
Externí odkaz:
http://arxiv.org/abs/2412.16751
The deployment of autonomous vehicles controlled by machine learning techniques requires extensive testing in diverse real-world environments, robust handling of edge cases and out-of-distribution scenarios, and comprehensive safety validation to ens
Externí odkaz:
http://arxiv.org/abs/2411.16554
Autor:
D. Ori, P. Szocsics, T. Molnar, S. Rozsa, M. Wallies, O. Kazakova, L. Bankovska-Motlova, S. Boivin, S. Raaj, I.M. Overgaard Ingeholm Klinkby, C. Cabacos, A.T. Pereira, S. Matheiken, S. Kakar, S. Greguras, J. Maslak, N. Nechepurenko, K. Kotsis, H. Yilmaz Kafali, A. Mirkovic, P. Rus Prelog, K. Bruna, K. Guevara, R. Strumila, S. Mörkl, M. Abdulhakim, E.A. Carbone, A. Panayi, I. Ivanović, E. Dashi, G. Grech, M. Vircik, F. Schuster, J. Soler-Vidal, E. Pomarol-Clotet, G. Ahmadova, A. Hargi, H. Kisand, N. Grinko, Z. Gyorffy
Publikováno v:
European Psychiatry, Vol 65, Pp S205-S206 (2022)
Introduction Since the literature investigating the stigmatising attitudes of psychiatrists is scarce, this is the first study which examines the phenomena across Europe. The Opening Minds Stigma Scale for Health Care Providers (OMS-HC) is a widely u
Externí odkaz:
https://doaj.org/article/38f45d16b8524067b6e18b37453e5307
HEMS optimization for RTPVs with BESS: impact on costs and temporal resolution
Comment: Journal Batteries
Comment: Journal Batteries
Externí odkaz:
http://arxiv.org/abs/2411.00159
In this work, we consider the problem of learning end to end perception to control for ground vehicles solely from aerial imagery. Photogrammetric simulators allow the synthesis of novel views through the transformation of pre-generated assets into n
Externí odkaz:
http://arxiv.org/abs/2410.14177
End-to-end learning directly maps sensory inputs to actions, creating highly integrated and efficient policies for complex robotics tasks. However, such models are tricky to efficiently train and often struggle to generalize beyond their training sce
Externí odkaz:
http://arxiv.org/abs/2410.13002