Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jakub Fil"'
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
We present an innovative working mechanism (the SBC memory) and surrounding infrastructure (BitBrain) based upon a novel synthesis of ideas from sparse coding, computational neuroscience and information theory that enables fast and adaptive learning
Externí odkaz:
https://doaj.org/article/8e4c6ba1565446349dfe57c9cad2e403
Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli, to enable learning. An interesting feature of Hebbian learning is that it is an unsupervised method and as such, does not require feedback, making it suitable in contexts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a5116e6d000cc6e602cb6764095ad1
https://kar.kent.ac.uk/96319/1/acssynbio.1c00625.pdf
https://kar.kent.ac.uk/96319/1/acssynbio.1c00625.pdf
Autor:
Marc Rußwurm, Tim G. J. Rudner, Piotr Bilinski, Ramona Pelich, Jakub Fil, Veronika Kopackova, Benjamin Bischke
Publikováno v:
AAAI
We propose a novel approach for rapid segmentation of flooded buildings by fusing multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural network. Our model significantly expedites the generation of satellite image
Autor:
Dominique Chu, Jakub Fil
The multispike tempotron (MST) is a powersul, single spiking neuron model that can solve complex supervised classification tasks. It is also internally complex, computationally expensive to evaluate, and unsuitable for neuromorphic hardware. Here we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88b81ff9177da32e2554296306713113
Autor:
Olga Marchut-Mikołajczyk, Magdalena Chlebicz, Monika Kawecka, Agnieszka Michalak, Filip Prucnal, Maciej Nielipinski, Jakub Filipek, Michalina Jankowska, Zofia Perek, Piotr Drożdżyński, Natalia Rutkowska, Anna Otlewska
Publikováno v:
Microbial Cell Factories, Vol 22, Iss 1, Pp 1-16 (2023)
Abstract Endophytes, especially those isolated from herbal plants, may act as a reservoir of a variety of secondary metabolites exhibiting biological activity. Some endophytes express the ability to produce the same bioactive compounds as their plant
Externí odkaz:
https://doaj.org/article/c3a589a41cb44f30b19e66e39275d370
Autor:
Jakub Filipkowski, Romuald Derbis
Publikováno v:
Globalization and Health, Vol 19, Iss 1, Pp 1-10 (2023)
Abstract Background The main aim of this study was to determine whether globalization experience is a predictor of work satisfaction. In addition, we inspected a regression model consisting of globalization experience, job seniority, and goal achieve
Externí odkaz:
https://doaj.org/article/b961ec2c48174add8b03963d576c28fb
Publikováno v:
Alcoholism and Drug Addiction, Vol 35, Iss 1, Pp 31-42 (2022)
Externí odkaz:
https://doaj.org/article/005cc912e3ef400d8203f7fa6e3efd4d
Autor:
Jakub Filipkowski, Romuald Derbis
Publikováno v:
Current Issues in Personality Psychology, Vol 8, Iss 3, Pp 197-210 (2020)
Externí odkaz:
https://doaj.org/article/f4b8d1cf995f46f0bcce6849a43f0e3c
Autor:
Jakub Filip Możaryn, Michał Frątczak, Krzysztof Stebel, Tomasz Kłopot, Witold Nocoń, Andrzej Ordys, Stepan Ozana
Publikováno v:
Energies, Vol 16, Iss 3, p 1290 (2023)
This paper aims to study the workflow of the detection centre of stealthy attacks on industrial installations that generate an increase in energy consumption. Such long-lasting, undetected attacks on industrial facilities make production more expensi
Externí odkaz:
https://doaj.org/article/33dd16579e3b42e686f78e53182f8e36
Publikováno v:
Quantum, Vol 6, p 727 (2022)
In this work we present the Scaled QUantum IDentifier (SQUID), an open-source framework for exploring hybrid Quantum-Classical algorithms for classification problems. The classical infrastructure is based on PyTorch and we provide a standardized desi
Externí odkaz:
https://doaj.org/article/0c32dfe37c174b08b31768ea1eb3068f