Zobrazeno 1 - 10
of 61
pro vyhledávání: '"QA76.87"'
Autor:
Amir Zjajo, Rene van Leuken
Simulation of brain neurons in real-time using biophysically-meaningful models is a pre-requisite for comprehensive understanding of how neurons process information and communicate with each other, in effect efficiently complementing in-vivo experime
Over the last 10 to 15 years, active inference has helped to explain various brain mechanisms from habit formation to dopaminergic discharge and even modelling curiosity. However, the current implementations suffer from an exponential (space and time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24dfa3a9af27eb1878421f083a9034f0
http://arxiv.org/abs/2111.11107
http://arxiv.org/abs/2111.11107
Publikováno v:
Sensors; Volume 22; Issue 15; Pages: 5596
Sensors
Sensors
In this paper, we present a novel methodology based on machine learning for identifying the most appropriate from a set of available state-of-the-art object detectors for a given application. Our particular interest is to develop a road map for ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e0a9c456c853df834f5efed4737be0f
https://doi.org/10.3390/s22155596
https://doi.org/10.3390/s22155596
Autor:
Michael Falk
Public debate about AI is dominated by Frankenstein Syndrome, the fear that AI will become superhuman and escape human control. Although superintelligence is certainly a possibility, the interest it excites can distract the public from a more imminen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::082e71e380519dc2882fbd41ddceac06
http://arxiv.org/abs/2007.03616
http://arxiv.org/abs/2007.03616
Publikováno v:
Brain. Cognition. Emotion. Music.
People’s emotions are not always detectable, e.g. if a person has difficulties/lack of skills in expressing emotions, or if people are geographically separated/communicating online). Brain-computer interfaces (BCI) could enhance non-verbal communic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::c6a45aa6602d7fe023c35a36d6a010cc
https://kar.kent.ac.uk/81490/3/posterJordanousLangroudiLi.pdf
https://kar.kent.ac.uk/81490/3/posterJordanousLangroudiLi.pdf
Publikováno v:
Sensors; Volume 22; Issue 9; Pages: 3365
Despite the high performances achieved using deep learning techniques in biometric systems, the inability to rationalise the decisions reached by such approaches is a significant drawback for the usability and security requirements of many applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2180817b2e5803d0966c486a5e440de1
https://doi.org/10.3390/s22093365
https://doi.org/10.3390/s22093365
Publikováno v:
Knowledge-Based Systems. 236:107763
Deep learning plays a vital role in classifying different arrhythmias using electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large amount of data and can lead to privacy concerns. Unfortunately, a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dbbea28243ddda5438ab005e2c82d41
https://doi.org/10.1016/j.knosys.2021.107763
https://doi.org/10.1016/j.knosys.2021.107763
Publikováno v:
Complexity, Vol 2018 (2018)
The dynamics and behavior of ferromagnets have a great relevance even beyond the domain of statistical physics. In this work, we propose a Monte Carlo method, based on random graphs, for modeling their dilution. In particular, we focus on ferromagnet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da17d7b1b8cf87c8c117ac67601c85b2
https://doi.org/10.1155/2018/2845031
https://doi.org/10.1155/2018/2845031
Autor:
Marek Grzes, Lee Harris
Publikováno v:
2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019)
SMC
SMC
The decisions made by machines are increasingly comparable in predictive performance to those made by humans, but these decision making processes are often concealed as black boxes. Additional techniques are required to extract understanding, and one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b946ae51461757beaf32bb71a22ce30
https://kar.kent.ac.uk/75472/7/harris19comparing.pdf
https://kar.kent.ac.uk/75472/7/harris19comparing.pdf
Autor:
Colin G. Johnson
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030348847
SGAI Conf.
SGAI Conf.
This paper explores how Learned Guidance Functions (LGFs)— a pre-training method used to smooth search landscapes—can be used as a fitness function for evolutionary algorithms. A new form of LGF is introduced, based on deep neural network learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f1105b96ad8a377af5d740446a14426
https://kar.kent.ac.uk/78198/1/BCS_SGAI_2019.pdf
https://kar.kent.ac.uk/78198/1/BCS_SGAI_2019.pdf