对国家创新体系,企业创新主体,区域创新,知识经济等方面的研究做出了开创性学术贡献,直接参与国家科技发展战略和规划制定的许多工作,获得过国家教育部科技进步一等奖(2001)、复旦管理学杰出贡献奖等。在《Research Policy》,《Technovation》,《...
@ARTICLE{Wang2020FUNDED, author = {H. {Wang} and G. {Ye} and Z. {Tang} and S. H. {Tan} and S. {Huang} and D. {Fang} and Y. {Feng} and L. {Bian} and Z. {Wang}}, journal = {IEEE Transactions on Information Forensics and Security}, title = {Combining Graph-Based Learni...
This is a PyTorch implementation of theTDD model: @ARTICLE{10506667, author={Li, Jingtao and Wang, Xinyu and Wang, Shaoyu and Zhao, Hengwei and Zhong, Yanfei}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={One-Step Detection Paradigm for Hyperspectral Anomaly Detection via...
D. Tsitsokas, A. Kouvelas, N. Geroliminis 2023 31st Mediterranean Conference on Control and Automation, MED 2023 • 2023 Scopus ArticleHierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets M. Maljkovic, G. Nilsson, N. Geroliminis IEEE Transactions on Control Sy...
{PCR\\\} assay performance was consistent with those of the conventional methods in the hands of a skilled expert and particularly efficacious in diagnosing... A.,Paugam,C.,... - 《Journal of Microbiological Methods》 被引量: 67发表: 2013年 ...
Gamma Activation and Alpha Suppression within Human Auditory Cortex during a Speech Classification Task 2022, Journal of Neuroscience Hierarchical cortical networks of "voice patches" for processing voices in human brain 2021, Proceedings of the National Academy of Sciences of the United States of Americ...
meaning there is no manually labeled data.10By comparison, inductive transfer can be consideredsupervised learning. One common application of unsupervised learning is fraud detection. By identify common patterns across an unlabeled dataset of transactions, a model can further learn to identify deviating ...
Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for a priori... H Bonab,F Can - 《IEEE Transactions on Neu...
[21] Wang J, Song Y, Mao Z, et al. EEG-Based Emotion Identification Using 1-DDeep Residual Shrinkage NetworkWith Microstate Features[J]. IEEE Sensors Journal, 2023, 23(5): 5165-5174. [22] Li B, Cui F. Inception module anddeep residual shrinkage network-based arc fault detection method...