Data-driven network neuroscience: on data collection and benchmark by Xu, Jiaxing, Yang, Yunhan, Huang, David Tse Jung, Gururajapathy, Sophi Shilpa, Ke, Yiping, Qiao, Miao, Wang, Alan, Kumar, Haribalan, McGeown, Josh, Kwon, Eryn

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DaisyRec 2.0: benchmarking recommendation for rigorous evaluation by Sun, Zhu, Fang, Hui, Yang, Jie, Qu, Xinghua, Liu, Hongyang, Yu, Di, Ong, Yew-Soon, Zhang, Jie

“…Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. …”
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Look, read and feel : benchmarking ads understanding with multimodal multitask learning by Zhang, Huaizheng, Luo, Yong, Ai, Qiming, Wen, Yonggang, Hu, Han

“…The obtained results could be utilized as a benchmark for ads understanding.…”
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Towards robust monocular depth estimation: a new baseline and benchmark by Xian, Ke, Cao, Zhiguo, Shen, Chunhua, Lin, Guosheng

“…On this benchmark, we systematically study the robustness of our method and 9 representative MDE models. …”
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A thorough benchmark and a new model for light field saliency detection by Gao, Wei, Fan, Songlin, Li, Ge, Lin, Weisi

“…To facilitate the development of saliency detection, we systematically evaluate and analyze 16 representative 2D, 3D, and 4D methods on four existing datasets and the proposed dataset, furnishing a thorough benchmark. Furthermore, tailored to the distinct structural characteristics of light fields, a novel symmetric two-stream architecture (STSA) network is proposed to predict the saliency of light fields more accurately. …”
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Why my app crashes? Understanding and benchmarking framework-specific exceptions of android apps by Su, Ting, Fan, Lingling, Chen, Sen, Liu, Yang, Xu, Lihua, Pu, Geguang, Su, Zhendong

“…To enable follow-up research (e.g., bug understanding, detection, localization and repairing), we further systematically constructed, DroidDefects, the first comprehensive and largest benchmark of Android app exception bugs. This benchmark contains 33 reproducible exceptions (with test cases, stack traces, faulty and fixed app versions, bug types, etc.), and 3,696 ground-truth exceptions (real faults manifested by automated testing tools), which cover the apps with different complexities and diverse exception types. …”
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Benchmarking selected computational gene network growing tools in context of virus-host interactions by Taye, Biruhalem, Vaz, Candida, Tanavde, Vivek, Kuznetsov, Vladimir A., Eisenhaber, Frank, Sugrue, Richard J., Maurer-Stroh, Sebastian

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An integrated approach for effective injection vulnerability analysis of web applications through security slicing and hybrid constraint solving by Thome, Julian, Shar, Lwin Khin, Bianculli, Domenico, Briand, Lionel

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Quality assessment of DIBR-synthesized images by measuring local geometric distortions and global sharpness by Li, Leida, Zhou, Yu, Gu, Ke, Lin, Weisi, Wang, Shiqi

“…The proposed method is further adopted for boosting the performances of existing quality metrics and benchmarking DIBR algorithms, both achieving very promising results.…”
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Synergistic 2D/3D Convolutional Neural Network for hyperspectral image classification by Yang, Xiaofei, Zhang, Xiaofeng, Ye, Yunming, Lau, Raymond Y. K., Lu, Shijian, Li, Xutao, Huang, Xiaohui

“…Extensive experiments over three public benchmarking datasets show that our proposed SyCNNs clearly outperform state-of-the-art techniques that use 2D/3D CNNs.…”
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No-Reference Quality Assessment of Deblurred Images Based on Natural Scene Statistics by Li, Leida, Yan, Ya, Lu, Zhaolin, Wu, Jinjian, Gu, Ke, Wang, Shiqi

“…As an application, the proposed metric is further used for benchmarking deblurring algorithms and very encouraging results are achieved.…”
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Analysis of public transportation patterns in a densely populated city with station-based shared bikes by Wang, Di, Wu, Evan, Tan, Ah-Hwee

“…Other than reporting the autonomously discovered transportation patterns, we also show that our method achieves better clustering performance than the benchmarking methods.…”
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Phase-shifting algorithms with known and unknown phase shifts: comparison and hybrid by Chen, Yuchi, Kemao, Qian

“…Thus, for the first time, we comprehensively evaluated the pre-requisites and performance of four representative uPSAs, the advanced iterative algorithm, the general iterative algorithm (GIA), the algorithm based on the principal component analysis and the algorithm based on VU factorization, and then compare the uPSAs with twelve benchmarking kPSAs. From this comparison, the demand for proper selection of a kPSA, and the restriction and attractive performance of the uPSAs are clearly depicted. …”
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extendGAN+: transferable data augmentation framework using WGAN-GP for data-driven indoor localisation model by Yean, Seanglidet, Goh, Wayne, Lee, Bu-Sung, Oh, Hong Lye

“…The results highlight the effectiveness of the proposed data augmentation method not only by localisation performance but also showcase the variety of RSS patterns it could produce. Benchmarking against the baseline methods such as fingerprint, random forest, and its base dataset with localisation models, extendGAN+ shows improvements of up to 23.47%, 25.35%, and 18.88% respectively. …”
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A stable model for maximizing the number of significant features by Park, Eunkyung, Wong, Raymond K., Kwon, Junbum, Chu, Victor W.

“…Our extensive experiments across different types of data - text, image, and video show that our SFLasso-SI can find the biggest number of SFs while maintaining similar prediction accuracy as the benchmarking methods.…”
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A novel density peak clustering algorithm based on squared residual error by Parmar, Milan, Wang, Di, Tan, Ah-Hwee, Miao, Chunyan, Jiang, Jianhua

“…Experimental results show that our algorithm outperforms DPC and other clustering algorithms on the benchmarking datasets.…”
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Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation by Fang, Yuming, Yuan, Yuan, Li, Leida, Wu, Jinjian, Lin, Weisi, Li, Zhiqiang

“…A quality-degraded video database for visual tracking (QDVD-VT), including the reference video sequences and their corresponding distorted versions, is constructed as the benchmarking for robustness analysis of visual tracking algorithms. …”
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Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system by Miao, Chunyan, Zhou, You, Wang, Di, Quek, Chai, Tan, Ah-Hwee, Ng, Geok See

“…Furthermore, we demonstrate different configuration options of GARSINFIS using well-known benchmarking datasets. The performance of GARSINFIS on both accuracy and interpretability is shown to be encouraging when compared against other decision tree, Bayesian, neural and neural fuzzy models.…”
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An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings by Qian, Xiaolin, Quek, Chai, Miao, Chunyan, Wang, Di, Zhang, Xiaofeng, Ng, Geok See, Zhou, You, Tan, Ah-Hwee

“…The encouraging experimental results show that we may yield higher initial returns of IPOs by following the advices provided by GARSINFIS than any other benchmarking model. Therefore, our autonomous computational model is shown to be capable of offering the investors highly interpretable and reliable decision supports to grab the money-left-on-the-table in IPOs.…”
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Goods consumed during transit in split delivery vehicle routing problems : modeling and solution by Yang, Wenzhe, Wang, Di, Pang, Wei, Tan, Ah-Hwee, Zhou, You

“…To assess the effectiveness of our proposed ant colony algorithms, we first apply them on widely adopted SDVRP benchmarking instances on different scales and their correspondingly extended SDVRP-GCT instances. …”
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