Zobrazeno 1 - 10
of 40
pro vyhledávání: '"S.R. Liyanage"'
Publikováno v:
International Journal of Artificial Intelligence and Machine Learning. 11:1-27
The combination of different machine learning models to a single prediction model usually improves the performance of the data analysis. Stacking ensembles are one of such approaches to build a high performance classifier that can be applied to vario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44599277d3193d9627f2036c696f242e
https://doi.org/10.4018/ijaiml.20210701.oa10
https://doi.org/10.4018/ijaiml.20210701.oa10
Publikováno v:
Advances in Technology. 1
A combination of different machine learning models to form a super learner can definitely lead to improved predictions in any domain. The super learner ensemble discussed in this study collates several machine learning models and proposes to enhance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e23c6a1c5ac42aecaaaf545d3ffd1f76
https://doi.org/10.31357/ait.v1i1.4844
https://doi.org/10.31357/ait.v1i1.4844
Autor:
S.R. Liyanage, G. M. Jinarajadasa
Publikováno v:
Inventive Computation and Information Technologies ISBN: 9789813343047
Mobile ad hoc network (MANETs) is one of the most popular wireless networks which is having dynamic topologies due to their self-organizing nature. These are less infrastructure-oriented networks due to nodes being mobile, and hence routing becomes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::224bee5e2fccea0dc89fcf54ec3b7144
https://doi.org/10.1007/978-981-33-4305-4_52
https://doi.org/10.1007/978-981-33-4305-4_52
Autor:
Jon Bilbatua Andrés, Farah Bader, Sarra Berrahal, Chintan Bhatt, N.P.G. Bhavani, Noureddine Boudriga, Su-Qun Cao, Nicholas Cummins, Ankur Dumka, G. Durgadevi, Pablo Fdez-Arroyabe, Diego Soliño Fernández, Konstantinos Fysarakis, Anita Gehlot, Rajeswari Hari, Sotiris Ioannidis, Sandeep Jagtap, Vivaksha J. Jariwala, Devesh C. Jinwala, V. Karthikeyan, Jatin Kumar Khilrani, Vidhi Kokel, Pooja Kothari, Dimitrios Koutsouris, K. Senthil Kumar, S.R. Liyanage, Manolis Lourakis, Evangelos Loutsetis, Michail Maniadakis, Shweta Masrani, Mamta Mittal, Maria Pateraki, R.S. Ponmagal, Anushree Sah, Vangelis Sakkalis, Björn Schuller, Rajesh Singh, Georgios Spanoudakis, V. Srividhya, K. Sujatha, Iraklis Varlamis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c8e3effb12705e5bd340a63ac659b6
https://doi.org/10.1016/b978-0-12-815369-7.00017-3
https://doi.org/10.1016/b978-0-12-815369-7.00017-3
Autor:
S.R. Liyanage, Chintan Bhatt
Electroencephalography (EEG) provides a noninvasive gateway to the human brain. Modern brain–computer interfaces (BCIs) provide a communication system that enables its users to send commands to a computer using only brain activity. This brain activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddd6e48dc4ba4a1a4348827730536f5d
https://doi.org/10.1016/b978-0-12-815369-7.00003-3
https://doi.org/10.1016/b978-0-12-815369-7.00003-3
Autor:
S.R. Liyanage, K.T.S. Kasthuriarachchi
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811336478
Knowledge extracted from educational data can be used by the educators to obtain insights about how the quality of teaching and learning must be improved, how the factors affect the performance of the students and how qualified students can be traine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625a115da051cee7e355a398ec9accb3
https://doi.org/10.1007/978-981-13-3648-5_4
https://doi.org/10.1007/978-981-13-3648-5_4
Machine Learning Applications for optimized mental health outcomes in Asia: Translating Hype to Hope
Publikováno v:
Asian Journal of Psychiatry. 49:101977
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e028cb17b981c51dcc0984bd150c43
https://doi.org/10.1016/j.ajp.2020.101977
https://doi.org/10.1016/j.ajp.2020.101977
Autor:
S.R. Liyanage, K.T.S. Kasthuriarachchi
Publikováno v:
2018 13th International Conference on Computer Science & Education (ICCSE).
Knowledge extracted from educational data can be used by the educators to obtain insights about how the quality of teaching and learning must be improved, how the factors a $\square$ ect the performance of the students and how qualified students can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82a8caac7b5fcf6d5c8c5a4f18f92ed
https://doi.org/10.1109/iccse.2018.8468847
https://doi.org/10.1109/iccse.2018.8468847
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783319683171
Educational Data Mining has become a very popular and highly important area in the domain of Data mining . Application of data mining to education arena arises as a paradigm oriented to design models, methods, tasks and algorithms for discovering dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be2aec56da69a163601e8e87cf6004e5
https://doi.org/10.1007/978-3-319-68318-8_9
https://doi.org/10.1007/978-3-319-68318-8_9
Autor:
U.K.D.N. Manisha, S.R. Liyanage
Publikováno v:
2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer).
This paper proposes a system that is capable of detecting, recognizing and indicating traffic signs to the driver to provide a safe and convenient driving experience. The system is composed of three phases; image pre-processing phase, detection phase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36df8d63d3ae76a327562c1ad5a8c548
https://doi.org/10.1109/icter.2017.8257815
https://doi.org/10.1109/icter.2017.8257815