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Michelle Ananda-Rajah

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2010 – 2019

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2019
[c4]
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  - electronic edition @ aclanthology.org (open access)
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  dblp key:
  - conf/acl-alta/NassarAH19
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Islam Nassar, Michelle Ananda-Rajah, Gholamreza Haffari:
Neural Versus Non-Neural Text Simplification: A Case Study. ALTA 2019: 172-177
[i1]
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  - journals/corr/abs-1902-08888
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Faik Aydin, Maggie Zhang, Michelle Ananda-Rajah, Gholamreza Haffari:
Medical Multimodal Classifiers Under Scarce Data Condition. CoRR abs/1902.08888 (2019)
2017
[c3]
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  - conf/acl-alta/LiuHBA17
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Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah:
Leveraging Linguistic Resources for Improving Neural Text Classification. ALTA 2017: 34-42
2016
[c2]
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  dblp key:
  - conf/pacis/AnantharamaRJAG16
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Nandini Anantharama, Grace Rumantir, Bismi Jomon, Michelle Ananda-Rajah, Annie Gilbert:
Understanding Risk Factors of Elderly Inpatient Falls using Contextual Model. PACIS 2016: 21
2015
[j1]
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  dblp key:
  - journals/jbi/MartinezASSTC15
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  - https://dblp.org/rec/journals/jbi/MartinezASSTC15
David Martínez, Michelle Ananda-Rajah, Hanna Suominen, Monica A. Slavin, Karin A. Thursky, Lawrence Cavedon:
Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans. J. Biomed. Informatics 53: 251-260 (2015)
2012
[c1]
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  - conf/clef/MartinezSAC12
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David Martínez, Hanna Suominen, Michelle Ananda-Rajah, Lawrence Cavedon:
Biosurveillance for Invasive Fungal Infections via Text Mining. CLEF (Online Working Notes/Labs/Workshop) 2012

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