Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Anna Koufakou"'
Emotion Classification based on text is a task with many applications which has received growing interest in recent years. This paper presents a preliminary study with the goal to help researchers and practitioners gain insight into relatively new da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb7a5228f42c3d818eefc4f2a198678d
http://arxiv.org/abs/2302.14727
http://arxiv.org/abs/2302.14727
Autor:
Michael Georgiopoulos, Cynthia Young, Cherie Geiger, Scott Hagen, Chris Parkinson, Alison Morrison-Shetlar, Tace Crouse, Paula Krist, Pat Lancey, Melissa Dagley-Falls, Pat Ramsey, Dahlia Forde, Anna Koufakou
Publikováno v:
2009 Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d1ea002f535fddeaae05be8b69fa5a
https://doi.org/10.18260/1-2--4975
https://doi.org/10.18260/1-2--4975
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030501631
HCI (31)
HCI (31)
With the increasing popularity of Virtual Reality (VR), more and more studies have been undertaken to identify the applications of VR in different industries, especially in education. There are studies that have developed VR scenarios for training an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab7c0c389b2f816b60a49fd2300dd98
https://doi.org/10.1007/978-3-030-50164-8_33
https://doi.org/10.1007/978-3-030-50164-8_33
Autor:
Anna Koufakou
Publikováno v:
Journal of Intelligent Information Systems. 48:263-285
A hyperclique is an itemset containing items that are strongly correlated with each other, based on a user-specified threshold. Hypercliques (HC) have been successfully used in a number of applications, for example clustering and noise removal. Even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c496828658e8168e5aa096de0ef75e2a
https://doi.org/10.1007/s10844-016-0409-4
https://doi.org/10.1007/s10844-016-0409-4
Autor:
Dahai Guo, Anna Koufakou
Publikováno v:
Human-Computer Interaction. User Interface Design, Development and Multimodality ISBN: 9783319580708
HCI (1)
HCI (1)
Cloud computing is bringing a paradigm shift in the field of software development. It has changed how software is developed and accessed. The numerous Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15f416e8ac3086295314b29927d300c6
https://doi.org/10.1007/978-3-319-58071-5_31
https://doi.org/10.1007/978-3-319-58071-5_31
Autor:
Anna Koufakou
Publikováno v:
Knowledge and Information Systems. 41:77-99
A hyperclique (Xiong et al. in Proceedings of the IEEE international conference on data mining, pp 387---394, 2003) is an itemset containing items that are strongly correlated with each other, based on a user-specified threshold. Hypercliques (HCs) h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6344026e0d2203f05fbe8307ef0249c7
https://doi.org/10.1007/s10115-013-0660-8
https://doi.org/10.1007/s10115-013-0660-8
Publikováno v:
IJCNN
In this paper, we conduct a preliminary study about a newly established course evaluation survey given to the students by our institution. This survey contains several free-text questions which generates more qualitative but also voluminous unstructu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b9e05388bdd17de3516339b4aee82ac
https://doi.org/10.1109/ijcnn.2016.7727599
https://doi.org/10.1109/ijcnn.2016.7727599
Autor:
Dahai Guo, Anna Koufakou
Publikováno v:
SIGCSE
We are proposing an undergraduate course to introduce cloud computing technologies with guidance from an industry recognized certification: Amazon Certified Associate Developer. Today, cloud computing providers provide many services. For example, Ama
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ddc3ea5d281dc5721048b92e407714
https://doi.org/10.1145/2839509.2850539
https://doi.org/10.1145/2839509.2850539
Publikováno v:
Knowledge and Information Systems. 29:697-725
Detecting outliers in a dataset is an important data mining task with many applications, such as detection of credit card fraud or network intrusions. Traditional methods assume numerical data and compute pair-wise distances among points. Recently, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eec20640a9832ed3cd7f66c083552757
https://doi.org/10.1007/s10115-010-0343-7
https://doi.org/10.1007/s10115-010-0343-7