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Data mining: a reconsideration [PDF]
Journal of Economic Methodology, 2000 Data mining occurs because most economic hypotheses do not have a unique empirical interpretation but allow the econometrician much leeway in selecting conditioning variables, lags, functional forms, and sometimes the sample. The resulting problems are of interest not only to methodologists and philosophers concerned with how hypotheses are validated ...
Thomas Mayer
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Frontiers in Oncology, 2022 As one of the most common cancers of the digestive system, colon cancer is a predominant cause of cancer-related deaths worldwide. To investigate prognostic genes in the tumor microenvironment of colon cancer, we collected 461 colon adenocarcinoma (COAD)
Jinyang Liu +8 more
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Journal of Cloud Computing: Advances, Systems and Applications, 2022 Cloud computing has emerged as a promising paradigm for meeting the growing resource demands of Internet of Things (IoT) devices. Meanwhile, with the popularity of mobile aerial base stations, Unmanned Aerial Vehicle (UAV) assisted cloud computing is ...
Yu Zhou +4 more
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Applied Sciences, 2021 In many application domains such as medicine, information retrieval, cybersecurity, social media, etc., datasets used for inducing classification models often have an unequal distribution of the instances of each class.
Mohamed S. Kraiem +2 more
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2021 International Conference on Content-Based Multimedia Indexing (CBMI), 2021 This paper overviews two interdependent issues important for mining remote sensing data (e.g. images) obtained from atmospheric monitoring missions. The first issue relates the building new public datasets and benchmarks, which are hot priority of the remote sensing community.
Djeraba, Chaabane, Riedi, Jerome
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Joint DNN partitioning and task offloading in mobile edge computing via deep reinforcement learning
Journal of Cloud Computing: Advances, Systems and Applications, 2023 As Artificial Intelligence (AI) becomes increasingly prevalent, Deep Neural Networks (DNNs) have become a crucial tool for developing and advancing AI applications.
Jianbing Zhang +3 more
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Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells
Nature Communications, 2021 To benchmark single cell bioinformatics tools, data simulators can provide a robust ground truth. Here the authors present dyngen, a multi-modal simulator, and apply it to aligning cell developmental trajectories, cell-specific regulatory network ...
Robrecht Cannoodt +3 more
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An intelligent approach of task offloading for dependent services in Mobile Edge Computing
Journal of Cloud Computing: Advances, Systems and Applications, 2023 With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing the heavy workload at the multi-cloud core network by deploying computing and storage resources at the edge of network close to users.
Jie Chen, Yajing Leng, Jiwei Huang
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Scientific Reports, 2022 Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes.
Xinyi Liu +3 more
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