Titlebook: Knowledge Science, Engineering and Management; 15th International C Gerard Memmi,Baijian Yang,Meikang Qiu Conference proceedings 2022 The E

突襲

CorefDRE: Coref-Aware Document-Level Relation Extractionponding mentions to filter the noise caused by pronouns. Experimental results significantly outperform baselines by nearly 1.7–2.0 in F1 on three public datasets, DocRED, DialogRE, and MPDD. We further conduct ablation experiments to demonstrate the effectiveness of the proposed MPAG structure and t

咒語

arbovirus

Detection DDoS of?Attacks Based on?Federated Learning with?Digital Twin Network feedback information to entities in time. Meanwhile, we propose a new optimization framework based on FedProx to tackle the system and statistical heterogeneity inherent in federated networks. This framework shows significantly more stable and accurate convergence behaviour and higher detection acc

Magnitude

A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via?Differential Privacyt also on the edges of the intersection graph from PSI to fully protect the privacy of clients. The evaluation demonstrates . achieves better performance with the graph extension and DP only introduces little computations overhead.

暴露他抗議

An Incentive-Compatible and?Efficient Mechanism for?Matching and?Pricing in?Ride-Sharingd based route planning algorithm to accelerate the matching process. Meanwhile, we compute the payments to drivers based on the second pricing mechanism. In so doing, we propose a second pricing based ride-sharing mechanism (SPRM), which satisfies incentive compatibility, individual rationality, bud

acrobat

MEOD: A Robust Multi-stage Ensemble Model Based on?Rank Aggregation and?Stacking for?Outlier Detecti classifier is adaptively selected as the base learner in the stacking stage on different datasets. Some extensive experiments are also committed to prove that MEOD outperforms the other seven state-of-the-art benchmarks in most cases.

Somber

MTN-Net: A Multi-Task Network for?Detection and?Segmentation of?Thyroid Nodules in?Ultrasound Imagesgmentation of nodules with complex textures. Furthermore, we propose an improved NMS method, named TN-NMS, for combining thyroid detection results from multiple branches, which can effectively suppress falsely detected internal nodules. The experimental results show that MTN-Net outperforms the Stat

Geyser

Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Traininghe BiLSTM network architecture to encode it, and finally connects the CRF layer to optimize the output sequence. In order to enhance the fusion of semantic features of the NEZHA model in the upper, middle, and lower layers, an attention mechanism has been adopted to integrate the NEZHA coding layers

arrogant

強(qiáng)所

A Fine-Grained Approach for?Vulnerabilities Discovery Using Augmented Vulnerability Signatures. It is proven to be a promising way to discover hidden clone vulnerabilities when a vulnerability database is given. However, due to the slight differences between vulnerable code and patched code as well as the high modifications between original vulnerability and clone vulnerability, existing met