Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Sá Couto P"'
Autor:
David Sá Couto, MD, André Dias-Frias, MD, Bruno Brochado, MD, André Alexandre, MD, Mariana Pereira Santos, MD, Diana Ribeiro, MD, Raquel Santos, MD, André Luz, MD, PhD, João Silveira, MD, Severo Torres, MD
Publikováno v:
CJC Open, Vol 6, Iss 11, Pp 1303-1306 (2024)
Externí odkaz:
https://doaj.org/article/a28d25b2c89c4bc79698b2411e121b2c
Autor:
André Alexandre, Andreia Campinas, Bruno Brochado, Marta Braga, David Sá‐Couto, Mariana Santos, Diana Ribeiro, Mariana Brandão, Marisa Passos Silva, Gustavo Pires deMorais, João Calvão, João Carlos Silva, Raquel Baggen‐Santos, André Luz, João Silveira, Severo Torres
Publikováno v:
ESC Heart Failure, Vol 11, Iss 4, Pp 1981-1994 (2024)
Abstract Aims Acute myocardial infarction (AMI) resulting from unprotected left main coronary artery (LMCA) occlusion and subtotal occlusion is a life‐threatening condition. Although AMI management has improved in the past two decades, there is lim
Externí odkaz:
https://doaj.org/article/d1fe9670c1154c5fa8a817f073c67d6d
When several models have similar training scores, classical model selection heuristics follow Occam's razor and advise choosing the ones with least capacity. Yet, modern practice with large neural networks has often led to situations where two networ
Externí odkaz:
http://arxiv.org/abs/2211.14347
The theory of bias-variance used to serve as a guide for model selection when applying Machine Learning algorithms. However, modern practice has shown success with over-parameterized models that were expected to overfit but did not. This led to the p
Externí odkaz:
http://arxiv.org/abs/2211.10322
A vast majority of the current research in the field of Machine Learning is done using algorithms with strong arguments pointing to their biological implausibility such as Backpropagation, deviating the field's focus from understanding its original o
Externí odkaz:
http://arxiv.org/abs/2210.14855
Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?
It is generally assumed that the brain uses something akin to sparse distributed representations. These representations, however, are high-dimensional and consequently they affect classification performance of traditional Machine Learning models due
Externí odkaz:
http://arxiv.org/abs/2208.12564
Drawing from memory the face of a friend you have not seen in years is a difficult task. However, if you happen to cross paths, you would easily recognize each other. The biological memory is equipped with an impressive compression algorithm that can
Externí odkaz:
http://arxiv.org/abs/2207.04827
Autor:
Ana Paula Rodrigues Martini, Livia Machado Schlemmer, Joelma Alves Lucio Padilha, Rafael Bandeira Fabres, Natividade de Sá Couto Pereira, Lenir Orlandi Pereira, Carla Dalmaz, Carlos Alexandre Netto
Publikováno v:
Frontiers in Rehabilitation Sciences, Vol 5 (2024)
BackgroundChronic cerebral hypoperfusion (CCH) leads to memory and learning impairments associated with degeneration and gliosis in the hippocampus. Treatment with physical exercise carries different therapeutic benefits for each sex. We investigated
Externí odkaz:
https://doaj.org/article/438e560fb7264a8e8eb665d9609eb707
Publikováno v:
Revista Brasileira de Educação Especial, Vol 30 (2024)
ABSTRACT: Morphological awareness is characterized by the ability to intentionally reflect and manipulate morphemes. The present study aimed to characterize the development of morphological awareness in school-age children and to analyze its impact o
Externí odkaz:
https://doaj.org/article/f57b895e2dfe454fae9e75450c087a66
Autor:
Sa-Couto, Luis, Wichert, Andreas
Although deep learning has solved difficult problems in visual pattern recognition, it is mostly successful in tasks where there are lots of labeled training data available. Furthermore, the global back-propagation based training rule and the amount
Externí odkaz:
http://arxiv.org/abs/2104.14970