The easy sharing of multimedia content on social media has caused a rapi...
Videos are prone to tampering attacks that alter the meaning and deceive...
The development of Internet technology has continuously intensified the
...
Multimodal fake news detection has attracted many research interests in
...
Finding an optimal set of critical nodes in a complex network has been a...
Rank aggregation aims to combine the preference rankings of a number of
...
Detecting critical nodes in sparse networks is important in a variety of...
Clinical Named Entity Recognition (CNER) aims to automatically identity
...
Population-based memetic algorithms have been successfully applied to so...
Enriching existing medical terminology knowledge bases (KBs) is an impor...
Electronic health records (EHRs) stored in hospital information systems
...
Entity and relation extraction is the necessary step in structuring medi...
Electronic health record is an important source for clinical researches ...
Clinical text structuring is a critical and fundamental task for clinica...
Medical activities, such as diagnoses, medicine treatments, and laborato...
Clinical Named Entity Recognition (CNER) aims to identify and classify
c...
Coronary artery disease (CAD) is one of the leading causes of cardiovasc...
Named entities which composed of multiple continuous words frequently oc...
Clinical Named Entity Recognition (CNER) aims to identify and classify
c...
This paper presents a hybrid approach called frequent pattern based sear...
Critical node problems involve identifying a subset of critical nodes fr...
Label ranking aims to learn a mapping from instances to rankings over a
...
Grouping problems aim to partition a set of items into multiple mutually...