50 Result(s)

Article

Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization

The introduction of blockchain technology has brought about significant transformation in the realm of digital transactions, providing a secure and transparent platform for peer-to-peer interactions that canno...

Buti Sello, Jianming Yong, **aohui Tao in Data Science and Engineering (2024)

Article

Retraction Note: A streak detection approach for comprehensive two-dimensional gas chromatography based on image analysis

Bo Li, Stephen E. Reichenbach, Qing** Tao… in Neural Computing and Applications (2024)

Article

Effective interpretable learning for large-scale categorical data

Large scale categorical datasets are ubiquitous in machine learning and the success of most deployed machine learning models rely on how effectively the features are engineered. For large-scale datasets, param...

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Tao Wang… in Data Mining and Knowledge Discovery (2024)

Article

Privacy-aware document retrieval with two-level inverted indexing

Previous work on privacy-aware ranking has addressed the minimization of information leakage when scoring top k documents, and has not studied on how to retrieve these top documents and their features for ranking...

Yifan Qiao, Shiyu Ji, Changhai Wang, **** Shao, Tao Yang in Information Retrieval Journal (2023)

Article

A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement

Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...

Chenxi Huang, Dan Hong, Chenhui Yang, Chunting Cai… in Neural Computing and Applications (2023)

Article

Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems

Yan Kang, Haining Wang, Bin Pu, Jiansong Liu… in Neural Computing and Applications (2023)

Article

Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3

Deep neural networks (DNNs) have delivered unprecedented achievements in the modern Internet of Everything society, encompassing autonomous driving, expert diagnosis, unmanned supermarkets, etc. It continues t...

Tao Li, Yitao Ma, Tetsuo Endoh in Neural Computing and Applications (2023)

Article

Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19

This study proposes a novel interpretable framework to forecast the daily tourism volume of Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the impact of COVID-19 by using multivar...

Binrong Wu, Lin Wang, Rui Tao, Yu-Rong Zeng in Neural Computing and Applications (2023)

Article

DCU-Net: a dual-channel U-shaped network for image splicing forgery detection

The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains a suspicious tampered area pasted from another image. In th...

Hongwei Ding, Leiyang Chen, Qi Tao, Zhongwang Fu… in Neural Computing and Applications (2023)

Article

An in-depth study on adversarial learning-to-rank

In light of recent advances in adversarial learning, there has been strong and continuing interest in exploring how to perform adversarial learning-to-rank. The previous adversarial ranking methods [e.g., IRGA...

Hai-Tao Yu, Rajesh Piryani, Adam Jatowt, Ryo Inagaki… in Information Retrieval Journal (2023)

Article

Fairness in graph-based semi-supervised learning

Machine learning is widely deployed in society, unleashing its power in a wide range of applications owing to the advent of big data. One emerging problem faced by machine learning is the discrimination from d...

Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen… in Knowledge and Information Systems (2023)

Article

An Efficient Algorithm of Star Subgraph Queries on Urban Traffic Knowledge Graph

Knowledge graph has wide applications in the field of computer science. In the knowledge service environment, the information is large and explosive, and it is difficult to find knowledge of common phenomena. ...

Tao Sun, Jianqiu Xu, Cai** Hu in Data Science and Engineering (2022)

Article

Identification of missing hierarchical relations in the vaccine ontology using acquired term pairs

The Vaccine Ontology (VO) is a biomedical ontology that standardizes vaccine annotation. Errors in VO will affect a multitude of applications that it is being used in. Quality assurance of VO is imperative to ...

Warren Manuel, Rashmie Abeysinghe, Yongqun He, Cui Tao… in Journal of Biomedical Semantics (2022)

Article

Disentangled Graph Recurrent Network for Document Ranking

BERT-based ranking models are emerging for its superior natural language understanding ability. All word relations and representations in the concatenation of query and document are modeled in the self-attenti...

Qian Dong, Shuzi Niu, Tao Yuan, Yucheng Li in Data Science and Engineering (2022)

Article

Multi-view dual attention network for 3D object recognition

The existing view-based 3D object classification and recognition methods ignore the inherent hierarchical correlation and distinguishability of views, making it difficult to further improve the classification ...

Wenju Wang, Yu Cai, Tao Wang in Neural Computing and Applications (2022)

Article

Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data

Aortic dissection (AD) is one of the most catastrophic aortic diseases associated with a high mortality rate. In contrast to the advances in most cardiovascular diseases, both the incidence and in-hospital mor...

Peng Qiu, Yixuan Li, Kai Liu, **bao Qin, Kaichuang Ye, Tao Chen… in BioData Mining (2021)

Article

A survey of community detection methods in multilayer networks

Community detection is one of the most popular researches in a variety of complex systems, ranging from biology to sociology. In recent years, there’s an increasing focus on the rapid development of more compl...

**nyu Huang, Dongming Chen, Tao Ren, Dongqi Wang in Data Mining and Knowledge Discovery (2021)

Article

Deep learning methods improve linear B-cell epitope prediction

B-cell epitopes play important roles in vaccine design, clinical diagnosis, and antibody production. Although some models have been developed to predict linear or conformational B-cell epitopes, their performa...

Tao Liu, Kaiwen Shi, Wuju Li in BioData Mining (2020)

Article

Toward multi-label sentiment analysis: a transfer learning based approach

Sentiment analysis is recognized as one of the most important sub-areas in Natural Language Processing (NLP) research, where understanding implicit or explicit sentiments expressed in social media contents is ...

Jie Tao, **ng Fang in Journal of Big Data (2020)

Article

Special Issue of APWeb-WAIM 2019

Dongxiang Zhang, Wei Wang, Bin Cui, Heng Tao Shen in Data Science and Engineering (2019)