Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sergiu Cosmin Nistor"'
Publikováno v:
IEEE Access, Vol 11, Pp 112877-112890 (2023)
We propose a novel graph-oriented machine learning algorithm which we use for estimating the performance of a recurrent memory cell on a given task. Recurrent neural networks have been successfully used for solving numerous tasks and usually, for eac
Externí odkaz:
https://doaj.org/article/71bf8304eae54c84a1ea25049f190380
Autor:
Sergiu Cosmin Nistor, Mircea Moca, Darie Moldovan, Delia Beatrice Oprean, Răzvan Liviu Nistor
Publikováno v:
Sensors, Vol 21, Iss 7, p 2266 (2021)
This paper presents a sentiment analysis solution on tweets using Recurrent Neural Networks (RNNs). The method is can classifying tweets with an 80.74% accuracy rate, considering a binary task, after experimenting with 20 different design approaches.
Externí odkaz:
https://doaj.org/article/76454d61109445ee8da2776b515af376
Publikováno v:
Genetic Programming and Evolvable Machines. 22:147-187
Designing a Recurrent Neural Network to extract sentiment from tweets is a very hard task. When using memory cells in their design, the task becomes even harder due to the large number of design alternatives and the costly process of finding a perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f51c87109b3ec818b35ebb4f2b6a5c
https://doi.org/10.1007/s10710-020-09395-0
https://doi.org/10.1007/s10710-020-09395-0
Autor:
Sergiu Cosmin Nistor
Publikováno v:
2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4fd95a1779c25f0e9e2f6c05cf49e2
https://doi.org/10.1109/iccp53602.2021.9733673
https://doi.org/10.1109/iccp53602.2021.9733673
Autor:
Sergiu Cosmin Nistor
Publikováno v:
SACI
Micro-expressions are fast involuntary movements of the face that convey the emotions of people. They are hard to simulate or hide, so their recognition (when spotted) can be used as an indicative of true emotions. We propose in this paper a method f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d11fb501da4673f9367330c56419f79
https://doi.org/10.1109/saci49304.2020.9118811
https://doi.org/10.1109/saci49304.2020.9118811
Autor:
Sergiu Cosmin Nistor, Gabriela Czibula
Publikováno v:
Expert Systems with Applications. 187:115945
Deep learning is in a continuous evolution and many domains benefit from this substantial progress in the development of intelligent solutions. While this progress has been swift, there are more and more applications and the specific requirements of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0250f9614fde154cc369298c376f4517
https://doi.org/10.1016/j.eswa.2021.115945
https://doi.org/10.1016/j.eswa.2021.115945
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 7
Sensors, Vol 21, Iss 2266, p 2266 (2021)
Sensors
Volume 21
Issue 7
Sensors, Vol 21, Iss 2266, p 2266 (2021)
This paper presents a sentiment analysis solution on tweets using Recurrent Neural Networks (RNNs). The method is can classifying tweets with an 80.74% accuracy rate, considering a binary task, after experimenting with 20 different design approaches.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3a5dd809d093a231607c084d0bab8db
https://doi.org/10.3390/s21072266
https://doi.org/10.3390/s21072266
Publikováno v:
Sustainability
Volume 12
Issue 22
Volume 12
Issue 22
Machine learning is a branch of artificial intelligence that has gained a lot of traction in the last years due to advances in deep neural networks. These algorithms can be used to process large quantities of data, which would be impossible to handle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8337b1e1c8367aa68ea77bd1dbc99ed
https://doi.org/10.3390/su12229707
https://doi.org/10.3390/su12229707
Publikováno v:
SoftCOM
Micro-expressions are one of the most reliable sources of deceit detection. They are fast, involuntary facial movements and they usually occur when a person tries to hide their true feelings. This paper presents a novel method for micro-expression de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a4d5a6278f5a10eeb4e48548382de74
https://doi.org/10.23919/softcom.2018.8555833
https://doi.org/10.23919/softcom.2018.8555833
Publikováno v:
ICCP
Automatic recognition of human demographical attributes has implications in a variety of domains, such as surveillance systems, human computer interaction, marketing etc. In this paper, we present an automatic gender recognition method from facial im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b68e16ba82e06640aec0d6813cba6a8
https://doi.org/10.1109/iccp.2017.8117018
https://doi.org/10.1109/iccp.2017.8117018