Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Marian Mach"'
Publikováno v:
Sensors, Vol 22, Iss 1, p 155 (2021)
The article focuses on solving an important problem of detecting suspicious reviewers in online discussions on social networks. We have concentrated on a special type of suspicious authors, on trolls. We have used methods of machine learning for gene
Externí odkaz:
https://doaj.org/article/524bf7d5cbdf4da49c9770e10079f94a
Publikováno v:
Acta Polytechnica Hungarica. 19:7-26
Publikováno v:
Acta Polytechnica Hungarica. 17:229-248
Publikováno v:
International Symposium on Affective Science and Engineering. :1-4
Intelligent space is where people may easily interact with computers and robots, changing the environmental conditions based on users’ needs to create more comfortable and satisfying surroundings. In our proposed system, we would integrate an intel
Publikováno v:
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Machine learning has become an integral part of technology in today's world. The field of artificial intelligence is the subject of research by a wide scientific community. In particular, through improved methodology, the availability of big data, an
Publikováno v:
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Artificial intelligence is the mainstream solution to various problems, and thanks to developments in hardware, it is possible to achieve performance like never before. Continuous data collection provides us with opportunities for the creation of var
Autor:
Marian Mach, Peter Sincak, Ivan Cik, Fouzia Adjailia, Andrinandrasana David Rasamoelina, Miroslav Jascur, Jan Magyar, Marek Bundzel, Lukas Hruska
Publikováno v:
Towards Digital Intelligence Society ISBN: 9783030638719
Convolutional neural networks are the state-of-the-art approach for advanced computer vision tasks, as they offer capabilities beyond straightforward application for image processing. This review provides an introduction to five areas where convoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a246fd9b925000c462a98f2c691a7e57
https://doi.org/10.1007/978-3-030-63872-6_2
https://doi.org/10.1007/978-3-030-63872-6_2
Publikováno v:
Electronics
Volume 9
Issue 8
Electronics, Vol 9, Iss 1317, p 1317 (2020)
Volume 9
Issue 8
Electronics, Vol 9, Iss 1317, p 1317 (2020)
This work belongs to the field of sentiment analysis
in particular, to opinion and emotion classification using a lexicon-based approach. It solves several problems related to increasing the effectiveness of opinion classification. The first pro
in particular, to opinion and emotion classification using a lexicon-based approach. It solves several problems related to increasing the effectiveness of opinion classification. The first pro
Publikováno v:
SOFSEM 2020: Theory and Practice of Computer Science ISBN: 9783030389185
SOFSEM
SOFSEM
Discuss content in the online web space has a significant impact on social life in recent years, especially in the political world. The impact of social networks has its advantages and disadvantages. An important disadvantage is a rising of the antis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c196d436f20226777af8e72b49f5b13c
https://doi.org/10.1007/978-3-030-38919-2_56
https://doi.org/10.1007/978-3-030-38919-2_56
Publikováno v:
2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
This paper describes an application developed in Python that implements reinforcement learning as a service and is ready for deployment on the cloud. The application can be used for solving various types of problems that require reinforcement learnin