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Data-driven curation, learning and analysis for inferring evolving IoT botnets in the wild
(
Association for Computing Machinery
, 2019 , Conference Paper)
The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in consumer and critical infrastructure realms. Several challenges impede addressing IoT security at large, including, the lack of IoT-centric ...
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: Application to children with asthma
(
BioMed Central Ltd.
, 2019 , Article)
Background: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models ...
Towards a multimodal classification of cultural heritage
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
The humanity has always learned from the previous experiences and thus for many reasons. The national heritage proves to be a great way to discover and access a nation's history. As a result, these priceless cultural items ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...