Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anoushka Harit"'
Publikováno v:
AI Open, Vol 4, Iss , Pp 165-174 (2023)
Stock price prediction is challenging in financial investment, with the AI boom leading to increased interest from researchers. Despite these recent advances, many studies are limited to capturing the time series characteristics of price movement via
Externí odkaz:
https://doaj.org/article/5bbb1c10abbd42838611a4557ab1a0be
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation
Autor:
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Publikováno v:
AI Open, Vol 4, Iss , Pp 19-32 (2023)
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence
Externí odkaz:
https://doaj.org/article/7405011d2af64562ae5861bfc0674a5f
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 18-23 July 2022 [Conference proceedings]
Graph neural networks (GNNs) have attracted extensive interest in text classification tasks due to their expected superior performance in representation learning. However, most existing studies adopted the same semi-supervised learning setting as the
Publikováno v:
IEEE Big Data, Osaka, Japan, 17-20 Dec 2022 [Conference proceedings]
Medical visual question answering (Med-VQA) is to answer medical questions based on clinical images provided. This field is still in its infancy due to the complexity of the trio formed of questions, multimodal features and expert knowledge. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae425790dfdb9aec2113027a26dda24e
http://dro.dur.ac.uk/37499/
http://dro.dur.ac.uk/37499/
Autor:
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 18-23 July 2022 [Conference proceedings]
Despite rapid advances of modern artificial intelligence (AI), there is a growing concern regarding its capacity to be explainable, transparent, and accountable. One crucial step towards such AI systems involves reliable and efficient uncertainty qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::420c6e36ed3c0ad3a5b759a5e3dba23e
http://dro.dur.ac.uk/36854/1/36854.pdf
http://dro.dur.ac.uk/36854/1/36854.pdf
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783030804206
ITS
Intelligent Tutoring Systems, Athens, Greece / Virtual, 7-11 Jun 2021 [Conference proceedings]
ITS
Intelligent Tutoring Systems, Athens, Greece / Virtual, 7-11 Jun 2021 [Conference proceedings]
Massive Open Online Course (MOOC) systems have become prevalent in recent years and draw more attention, a.o., due to the coronavirus pandemic’s impact. However, there is a well-known higher chance of dropout from MOOCs than from conventional off-l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4675b0195af805637948a0928a00d50c
https://doi.org/10.1007/978-3-030-80421-3_4
https://doi.org/10.1007/978-3-030-80421-3_4
Publikováno v:
IEEE International Joint Conference on Neural Network (IJCNN2021), Virtual, 18-22 Jul 2021 [Conference proceedings]
IJCNN
IJCNN
This research focuses on semi-supervised classification tasks, specifically for graph-structured data under data-scarce situations. It is known that the performance of conventional supervised graph convolutional models is mediocre at classification t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c733e28293bf19603b3cd09360b52c5
http://dro.dur.ac.uk/33389/1/33389.pdf
http://dro.dur.ac.uk/33389/1/33389.pdf
Publikováno v:
Intelligent Tutoring Systems, Athens, Greece / Virtual, 7-11 Jun 2021 [Conference proceedings]
Intelligent Tutoring Systems ISBN: 9783030804206
ITS
Intelligent Tutoring Systems ISBN: 9783030804206
ITS
Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backgrounds, it is taxing to offer real-time support. Learners may post the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b4a889b08224d93758eb8d18b45c65b
http://dro.dur.ac.uk/32843/
http://dro.dur.ac.uk/32843/