Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Roy E. Welsch"'
Publikováno v:
IEEE Access, Vol 8, Pp 91265-91275 (2020)
The imbalanced classification problem has become greatest issue in many fields, especially in fraud detection. In fraud detection, the transaction datasets available for training are extremely imbalanced, with fraudulent transaction logs considerably
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7847, p 7847 (2021)
Sensors; Volume 21; Issue 23; Pages: 7847
Sensors, Vol 21, Iss 7847, p 7847 (2021)
Sensors; Volume 21; Issue 23; Pages: 7847
It is found that nodes in Delay Tolerant Networks (DTN) exhibit stable social attributes similar to those of people. In this paper, an adaptive routing algorithm based on Relation Tree (AR-RT) for DTN is proposed. Each node constructs its own Relatio
Publikováno v:
Information Fusion. 44:65-77
Sentiment analysis requires a lot of information coming from different sources and about different topics to be retrieved and fused. For this reason, one of the most important subtasks of sentiment analysis is subjectivity detection, i.e., the remova
Publikováno v:
UV
Medical detection is one of the important methods to prevent, diagnose and treat diseases. Under normal conditions, there are many indicators as the basis for diagnosis in medical detection usually. However, in some situations, many detection indicat
Publikováno v:
CEC
There is a large variety of products sold online and the websites are in several languages. Hence, it is desirable to train a model that can predict sentiments in different domains simultaneously. Previous authors have used deep learning to extract f
Publikováno v:
Knowledge-Based Systems. 108:144-154
© 2016 We propose a deep recurrent belief network with distributed time delays for learning multivariate Gaussians. Learning long time delays in deep belief networks is difficult due to the problem of vanishing or exploding gradients with increase i
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-20 (2019)
The global popularity of social media platforms has given rise to unprecedented amounts of data, much of which reflects the thoughts, opinions and affective states of individual users. Systematic explorations of these large datasets can yield valuabl
Publikováno v:
Intelligent Asset Management ISBN: 9783030302627
This chapter reviews the text mining approaches employed and the problem formalization of stock market prediction by previous studies. A fine-grained categorization of text source is provided. The basic concepts and preliminaries of asset returns and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f7334b9a88bdab4ba13a6c11ce2983d
https://doi.org/10.1007/978-3-030-30263-4_2
https://doi.org/10.1007/978-3-030-30263-4_2
Publikováno v:
Intelligent Asset Management ISBN: 9783030302627
This chapter provides multiple perspectives on the structure of natural language. We try to answer two fascinating questions in this chapter: what kind of information can we extract from human language, and is the extracted information sufficient or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c0de69163a29e0ba9a486f717890307
https://doi.org/10.1007/978-3-030-30263-4_3
https://doi.org/10.1007/978-3-030-30263-4_3
Publikováno v:
Intelligent Asset Management ISBN: 9783030302627
Experience in developing large knowledge-based AI projects suggests a progressive approach: the system needs maintenance to keep pace with demands and accumulation of commonsense knowledge to prevent having to start all over again. Financial asset ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9857bcf234ab62024af73f09a238079
https://doi.org/10.1007/978-3-030-30263-4_6
https://doi.org/10.1007/978-3-030-30263-4_6