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Found 8 papers, 3 papers with code
A Markovian empirical model for the VIX index and the pricing of the corresponding derivatives
In this paper, we propose an empirical model for the VIX index.
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
The widespread adoption of the Android operating system has made malicious Android applications an appealing target for attackers.
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
We present a novel defense, against backdoor attacks on Deep Neural Networks (DNNs), wherein adversaries covertly implant malicious behaviors (backdoors) into DNNs.
Analysis and classification of main risk factors causing stroke in Shanxi Province
Evaluation of the risk of getting stroke is important for the prevention and treatment of stroke in China.
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
Afterwards, both semantic and structure embeddings are combined to measure the relevancy between the terminology and the entity.
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Entity and relation extraction is the necessary step in structuring medical text.
An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities
In this paper, we present an attention-based Bi-GRU-CapsNet model to detect hypernymy relationship between compound entities.
Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition
Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research.
