Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Nattiya Kanhabua"'
Autor:
Huamin Ren, Nattiya Kanhabua, Andreas Møgelmose, Weifeng Liu, Kaustubh Kulkarni, Sergio Escalera, Xavier Baró, Thomas B. Moeslund
Publikováno v:
IET Computer Vision, Vol 12, Iss 4, Pp 484-491 (2018)
Transfer learning aims at adapting a model learned from source dataset to target dataset. It is a beneficial approach especially when annotating on the target dataset is expensive or infeasible. Transfer learning has demonstrated its powerful learnin
Externí odkaz:
https://doaj.org/article/9346ae7bd2b54aa98bc774bbbfe5030e
Autor:
Nattiya Kanhabua, Kaweh Djafari Naini, Claudia Niederée, Ricardo Kawase, Ismail Sengor Altingovde
Publikováno v:
Information Retrieval Journal. 22:159-187
Social media posts are a great source for life summaries aggregating activities, events, interactions and thoughts of the last months or years. They can be used for personal reminiscence as well as for keeping track with developments in the lives of
Publikováno v:
Li, P, Lu, H, Kanhabua, N, Zhao, S & Pan, G 2019, ' Location Inference for Non-geotagged Tweets in User Timelines ', I E E E Transactions on Knowledge & Data Engineering, vol. 31, no. 6, 8403245, pp. 1150-1165 . https://doi.org/10.1109/TKDE.2018.2852764
Social media like Twitter have become globally popular in the past decade. Thanks to the high penetration of smartphones, social media users are increasingly going mobile. This trend has contributed to foster various location based services deployed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1cc32ae9c2d4dcc17d50e824a1c98b
https://vbn.aau.dk/da/publications/1fbabfa8-d637-4c81-8503-958d9d2a6e66
https://vbn.aau.dk/da/publications/1fbabfa8-d637-4c81-8503-958d9d2a6e66
Publikováno v:
Li, P, Lu, H, Kanhabua, N, Zhao, S & Pan, G 2019, Location Inference for Non-geotagged Tweets in User Timelines [Extended Abstract] . in Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE) ., 8731425, IEEE, Proceedings of the International Conference on Data Engineering, pp. 2111-2112, The 35th IEEE International Conference on Data Engineering (ICDE), Macau, China, 08/04/2019 . https://doi.org/10.1109/ICDE.2019.00250
ICDE
ICDE
This study explores the problem of inferring locations for individual tweets. We scrutinize Twitter user timelines in a novel fashion. First of all, we split each user's tweet timeline temporally into a number of clusters, each tending to imply a dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::864ad23360a917c2b553e3c8a12b0010
https://vbn.aau.dk/da/publications/7e230e25-8e07-401d-9002-7b2db064eddf
https://vbn.aau.dk/da/publications/7e230e25-8e07-401d-9002-7b2db064eddf
Autor:
Sergio Escalera, Nattiya Kanhabua, Andreas Mogelmose, Huamin Ren, Xavier Baró, Thomas B. Moeslund, Weifeng Liu, Kaustubh Kulkarni
Publikováno v:
Ren, H, Kanhabua, N, Møgelmose, A, Liu, W, Escalera, S, Baro, X & Moeslund, T B 2018, ' Back-dropout Transfer Learning for Action Recognition ', IET Computer Vision, vol. 12, no. 4, pp. 484-491 . https://doi.org/10.1049/iet-cvi.2016.0309
Transfer learning aims at adapting a model learned from source dataset to target dataset. It is a beneficial approach especially when annotating on the target dataset is expensive or infeasible. Transfer learning has demonstrated its powerful learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a16e0a479c7e8fdc4996ccdd0010c9
https://vbn.aau.dk/da/publications/7de5407f-e91a-479d-8d5e-729e1737b09a
https://vbn.aau.dk/da/publications/7de5407f-e91a-479d-8d5e-729e1737b09a
Publikováno v:
The Semantic Web ISBN: 9783319934167
ESWC
ESWC
Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (e.g., popularity) is the most important factor in previous work. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8f7251f3eb5d1135574200b16269b9
https://doi.org/10.1007/978-3-319-93417-4_30
https://doi.org/10.1007/978-3-319-93417-4_30
Publikováno v:
Personal Multimedia Preservation ISBN: 9783319734644
Personal Multimedia Preservation
Personal Multimedia Preservation
In the cognitive processes of humans, forgetting is a very effective way for focusing on the important things, while unstressing things, which are (currently) less important. The translation of forgetting into the digital world is, thus, a promising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b072ba53570f06164deb33abce5590
https://doi.org/10.1007/978-3-319-73465-1_4
https://doi.org/10.1007/978-3-319-73465-1_4
Publikováno v:
Foundations and Trends® in Information Retrieval. 9:91-208
Temporal dynamics and how they impact upon various components of information retrieval IR systems have received a large share of attention in the last decade. In particular, the study of relevance in information retrieval can now be framed within the
Long-running, high-impact events such as the Boston Marathon bombing often develop through many stages and involve a large number of entities in their unfolding. Timeline summarization of an event by key sentences eases story digestion, but does not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c52e007f9a6808073fa0ce9b46ffb937
http://arxiv.org/abs/1701.03947
http://arxiv.org/abs/1701.03947
Autor:
Wolfgang Nejdl, Sara Romano, Michela Bertolotto, Antonino Mazzeo, Nattiya Kanhabua, Sergio Di Martino
Publikováno v:
Di Martino, S, Romano, S, Bertolotto, M, Kanhabua, N, Mazzeo, A & Nejdl, W 2017, ' Towards Exploiting Social Networks for Detecting Epidemic Outbreaks ', Global Journal of Flexible Systems Management, vol. 18, no. 1, pp. 61-71 . https://doi.org/10.1007/s40171-016-0148-y
Social networks are becoming a valuable source of information for applications in many domains. In particular, many studies have highlighted the potential of social networks for early detection of epidemic outbreaks, due to their capability to transm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f6a4454199e17b1765e6cbb52ef88e
http://hdl.handle.net/11588/662834
http://hdl.handle.net/11588/662834