Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Crina, Grosan"'
Publikováno v:
Data, Vol 8, Iss 4, p 68 (2023)
Sentiment analysis is an application of natural language processing (NLP) that requires a machine learning algorithm and a dataset. In some cases, the dataset availability is scarce, particularly with Arabic dialects, precisely the Bahraini ones, whi
Externí odkaz:
https://doaj.org/article/be0bbee8c0aa4c469331a15314e1b6bb
Autor:
Noureddin Sadawi, Ivan Olier, Joaquin Vanschoren, Jan N. van Rijn, Jeremy Besnard, Richard Bickerton, Crina Grosan, Larisa Soldatova, Ross D. King
Publikováno v:
Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-13 (2019)
Abstract The goal of quantitative structure activity relationship (QSAR) learning is to learn a function that, given the structure of a small molecule (a potential drug), outputs the predicted activity of the compound. We employed multi-task learning
Externí odkaz:
https://doaj.org/article/7cee0a9bcc56463797a9e229cb270508
Publikováno v:
PeerJ Computer Science, Vol 7, p e599 (2021)
Background Virtual reality is utilised in exergames to help patients with disabilities improve on the movement of their limbs. Exergame settings, such as the game difficulty, play important roles in the rehabilitation outcome. Similarly, suboptimal e
Externí odkaz:
https://doaj.org/article/51cc14ae0ccf4aa8a91ad67e75f5d01f
Publikováno v:
Data, Vol 6, Iss 5, p 46 (2021)
In this article, we present a dataset that comprises different physical rehabilitation movements. The dataset was captured as part of a research project intended to provide automatic feedback on the execution of rehabilitation exercises, even in the
Externí odkaz:
https://doaj.org/article/1f8ba5b3dffd4abba8286f2e680f18b6
Publikováno v:
International Conference on IT Innovations and Knowledge Discovery (ITIKD 2023)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79361bd9ec65acbfc202bbf3b353c3c
https://bura.brunel.ac.uk/handle/2438/26278
https://bura.brunel.ac.uk/handle/2438/26278
Publikováno v:
INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (ICoBE 2021).
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Autor:
Andreea Vescan, Crina Grosan
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 55, Iss 4, Pp 18-32 (2010)
Component-based Software Engineering (CBSE) uses components to construct systems, being a means to increase productivity by promoting software reuse and increasing software quality. The process of assembling component is called component composition.
Externí odkaz:
https://doaj.org/article/fc0591a6bd55422d957c7e8608e7cab6
Autor:
Silvia Rausanu, Crina Grosan
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 55, Iss 3, Pp 71-86 (2010)
The study of social networks and the spread of disease on networks has recently attracted considerable attention and there is a huge amount of work dealing with this matter. The current work presents and develops a social network model based on the m
Externí odkaz:
https://doaj.org/article/c04f8fc638434954a8c4bfe7ce885842
Publikováno v:
Egrioglu, E, Grosan, C & Bas, E 2022, ' A new genetic algorithm method based on statistical‑based replacement for the training of multiplicative neuron model artificial neural networks ', JOURNAL OF SUPERCOMPUTING . https://doi.org/10.1007/s11227-022-04935-0
In this study, we propose a new genetic algorithm that uses a statistical-based chromosome replacement strategy determined by the empirical distribution of the objective function values. The proposed genetic algorithm is further used in the training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::820fcea609823a1da487c9909d3c914a
https://kclpure.kcl.ac.uk/en/publications/6983763d-87fa-40e4-b6f0-bd466c930078
https://kclpure.kcl.ac.uk/en/publications/6983763d-87fa-40e4-b6f0-bd466c930078