Conventional multi-label classification (MLC) methods assume that all sa...
Electronic Health Records (EHR) are generated from clinical routine care...
Semi-supervised domain adaptation (SSDA) adapts a learner to a new domai...
Recommendation systems have shown great potential to solve the informati...
In distributed transaction processing, atomic commit protocol (ACP) is u...
Singapore has been striving to improve the provision of healthcare servi...
Deep neural networks have strong capabilities of memorizing the underlyi...
Verifiable ledger databases protect data history against malicious tampe...
In the Metaverse, the physical space and the virtual space co-exist, and...
While state-of-the-art permissioned blockchains can achieve thousands of...
In this paper, we propose a novel semi-supervised learning (SSL) framewo...
Recent years have witnessed a surging interest in Neural Architecture Se...
Deep learning has achieved great success in a wide spectrum of multimedi...
Relational databases are the de facto standard for storing and querying
...
InstaHide is a state-of-the-art mechanism for protecting private trainin...
Alphas are stock prediction models capturing trading signals in a stock
...
Machine learning (ML) is an important part of modern data science
applic...
Federated learning (FL) is an emerging paradigm for facilitating multipl...
With the ever-increasing adoption of machine learning for data analytics...
In the last few years, distributed machine learning has been usually exe...
Federated learning (FL) is an emerging paradigm that enables multiple
or...
Data collaboration activities typically require systematic or protocol-b...
In high stakes applications such as healthcare and finance analytics, th...
Smart contracts have enabled blockchain systems to evolve from simple
cr...
In emerging applications such as blockchains and collaborative data
anal...
In emerging applications such as blockchains and collaborative data
anal...
Blockchain has come a long way: a system that was initially proposed
spe...
Research in blockchain systems has mainly focused on improving security ...
Research in blockchain systems has mainly focused on improving security ...
The fifth-generation (5G) mobile communication technologies are on the w...
With 5G on the verge of being adopted as the next mobile network, there ...
Deep learning has recently become very popular on account of its incredi...
Motivated by the massive energy usage of blockchain, on the one hand, an...
Recent years have witnessed growing interests in designing efficient neu...
Machine-learning-based data-driven applications have become ubiquitous, ...
Deep learning models have been used to support analytics beyond simple
a...
Embeddings of medical concepts such as medication, procedure and diagnos...
Few-shot learning that trains image classifiers over few labeled example...
Recent advances in artificial intelligence (AI) and machine learning hav...
Big data analytics is gaining massive momentum in the last few years.
Ap...
As blockchain systems proliferate, there remains an unresolved scalabili...
Existing data storage systems offer a wide range of functionalities to
a...
Blockchain technologies are gaining massive momentum in the last few yea...
Recent years have witnessed amazing outcomes from "Big Models" trained b...