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Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data
Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data
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Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data

Schouten, Kim ; van der Weijde, Onne ; Frasincar, Flavius ; Dekker, Rommert

IEEE transactions on cybernetics, 2018-04, Vol.48 (4), p.1263-1275 [Periódico revisado por pares]

United States: IEEE

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2
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning
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Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning

Liu Yang ; Liping Jing ; Jian Yu ; Ng, Michael K.

IEEE transaction on neural networks and learning systems, 2016-11, Vol.27 (11), p.2187-2200

United States: IEEE

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3
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions
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Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions

Yan, Yuguang ; Wu, Qingyao ; Tan, Mingkui ; Ng, Michael K. ; Min, Huaqing ; Tsang, Ivor W.

IEEE transaction on neural networks and learning systems, 2018-07, Vol.29 (7), p.3252-3263

United States: IEEE

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4
Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning
Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning
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Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning

Huang, Jian ; Si, Haonan ; Guo, Xiansheng ; Zhong, Ke

Sensors (Basel, Switzerland), 2022-11, Vol.22 (23), p.9127 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Online Heterogeneous Transfer Learning by Knowledge Transition
Online Heterogeneous Transfer Learning by Knowledge Transition
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Online Heterogeneous Transfer Learning by Knowledge Transition

Wu, Hanrui ; Yan, Yuguang ; Ye, Yuzhong ; Min, Huaqing ; Ng, Michael K. ; Wu, Qingyao

ACM transactions on intelligent systems and technology, 2019-05, Vol.10 (3), p.1-19 [Periódico revisado por pares]

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6
Detection rates and biases of fire observations from MODIS and agency reports in the conterminous United States
Detection rates and biases of fire observations from MODIS and agency reports in the conterminous United States
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Detection rates and biases of fire observations from MODIS and agency reports in the conterminous United States

Fusco, Emily J. ; Finn, John T. ; Abatzoglou, John T. ; Balch, Jennifer K. ; Dadashi, Sepideh ; Bradley, Bethany A.

Remote sensing of environment, 2019-01, Vol.220, p.30-40 [Periódico revisado por pares]

New York: Elsevier Inc

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7
Local and global spatio-temporal entropy indices based on distance-ratios and co-occurrences distributions
Local and global spatio-temporal entropy indices based on distance-ratios and co-occurrences distributions
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Local and global spatio-temporal entropy indices based on distance-ratios and co-occurrences distributions

Leibovici, Didier G. ; Claramunt, Christophe ; Le Guyader, Damien ; Brosset, David

International journal of geographical information science : IJGIS, 2014-05, Vol.28 (5), p.1061-1084 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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8
Managing South African biodiversity research data : meeting the challenges of rapidly developing information technology
Managing South African biodiversity research data : meeting the challenges of rapidly developing information technology
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Managing South African biodiversity research data : meeting the challenges of rapidly developing information technology

Coetzer, Willem ; Hamer, Michelle

South African Journal of Science, 2019-03, Vol.115 (3-4), p.10-14 [Periódico revisado por pares]

Pretoria: Academy of Science for South Africa (ASSAf)

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9
Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data
Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data
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Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data

Liu, Shuyu ; Yang, Liu ; Hu, Qinghua

International journal on artificial intelligence tools, 2021-05, Vol.30 (3), p.2150012 [Periódico revisado por pares]

World Scientific Publishing Company

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10
Nationwide assessment of nitrosamine occurrence and trends
Nationwide assessment of nitrosamine occurrence and trends
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Nationwide assessment of nitrosamine occurrence and trends

Russell, Caroline G. ; Blute, Nicole K. ; Via, Steve ; Wu, Xueying ; Chowdhury, Zaid

Journal - American Water Works Association, 2012-03, Vol.104 (3), p.E205-E217 [Periódico revisado por pares]

Denver: American Water Works Association

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