Search Results for author: Baowen Xu

Found 7 papers, 2 papers with code

Link Prediction in Social Networks: the State-of-the-Art

2 code implementations19 Nov 2014 Peng Wang, Baowen Xu, Yurong Wu, Xiaoyu Zhou

Finally, some future challenges of the link prediction in social networks are discussed.

Social and Information Networks Physics and Society

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models

1 code implementation7 Mar 2021 Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di wu, Yuming Zhou, Baowen Xu

To tackle this problem, we propose Sample Discrimination based Selection (SDS) to select efficient samples that could discriminate multiple models, i. e., the prediction behaviors (right/wrong) of these samples would be helpful to indicate the trend of model performance.

Connecting Software Metrics across Versions to Predict Defects

no code implementations28 Dec 2017 Yibin Liu, Yanhui Li, Jianbo Guo, Yuming Zhou, Baowen Xu

Accurate software defect prediction could help software practitioners allocate test resources to defect-prone modules effectively and efficiently.

A Feature Subset Selection Algorithm Automatic Recommendation Method

no code implementations4 Feb 2014 Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou

The performance of the candidate FSS algorithms is evaluated by a multi-criteria metric that takes into account not only the classification accuracy over the selected features, but also the runtime of feature selection and the number of selected features.

feature selection General Classification +1

IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning

no code implementations10 Sep 2020 Yuxi Huan, Fan Wu, Michail Basios, Leslie Kanthan, Lingbo Li, Baowen Xu

In this paper, we introduce an intelligent evolutionary optimisation algorithm which applies machine learning technique to the traditional evolutionary algorithm to accelerate the overall optimisation process of tuning machine learning models in classification problems.

BIG-bench Machine Learning

Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities

no code implementations6 Jun 2023 Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu

Multi-Sensor Fusion (MSF) based perception systems have been the foundation in supporting many industrial applications and domains, such as self-driving cars, robotic arms, and unmanned aerial vehicles.

Benchmarking Depth Completion +5

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