相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
Ugo Fiore et al.
INFORMATION SCIENCES (2019)
A novel method to identify emerging technologies using a semi-supervised topic clustering model: a case of 3D printing industry
Yuan Zhou et al.
SCIENTOMETRICS (2019)
Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology
Yufei Liu et al.
ENGINEERING (2019)
Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies
Yuan Zhou et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2019)
DeepPatent: patent classification with convolutional neural networks and word embedding
Shaobo Li et al.
SCIENTOMETRICS (2018)
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding
Yi Zhang et al.
JOURNAL OF INFORMETRICS (2018)
Deep context of citations using machine-learning models in scholarly full-text articles
Saeed-Ul Hassan et al.
SCIENTOMETRICS (2018)
Early identification of emerging technologies: A machine learning approach using multiple patent indicators
Changyong Lee et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2018)
Challenges and opportunities: from big data to knowledge in AI 2.0
Yue-ting Zhuang et al.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2017)
Forecasting emerging technologies: A supervised learning approach through patent analysis
Moses Ntanda Kyebambe et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2017)
Generative Adversarial Networks: Introduction and Outlook
Kunfeng Wang et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2017)
Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country
Dejing Kong et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2017)
Machine Learning in Adversarial Settings
Patrick McDaniel et al.
IEEE SECURITY & PRIVACY (2016)
Inventor team size as a predictor of the future citation impact of patents
Anthony Breitzman et al.
SCIENTOMETRICS (2015)
The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems
Anthony Breitzman et al.
RESEARCH POLICY (2015)
MWMOTE-Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
Sukarna Barua et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)
Vacant technology forecasting using new Bayesian patent clustering
Seongyong Choi et al.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT (2014)
The importance (or not) of patents to UK firms
Bronwyn H. Hall et al.
OXFORD ECONOMIC PAPERS-NEW SERIES (2013)
Innovation and diffusion of clean/green technology: Can patent commons help?
Bronwyn H. Hall et al.
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT (2013)
An empirical study of users' hype cycle based on search traffic: the case study on hybrid cars
Seung-Pyo Jun
SCIENTOMETRICS (2012)
A New Comprehensive Patent Analysis Approach for New Product Design in Mechanical Engineering
Kuang OuYang et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2011)
Supervised Learning Based Power Management for Multicore Processors
Hwisung Jung et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2010)
Using patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display
Pao-Long Chang et al.
SCIENTOMETRICS (2010)
Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature
Lawrence D. Fu et al.
SCIENTOMETRICS (2010)
Emerging technologies: quantitative identification and measurement
Susan Cozzens et al.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT (2010)
Using patents prospectively to identify emerging, high-impact technological clusters
Connie K. N. Chang et al.
RESEARCH EVALUATION (2009)
Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping
Sungjoo Lee et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2009)
Cost-sensitive boosting for classification of imbalanced data
Yamnin Sun et al.
PATTERN RECOGNITION (2007)
Forecasting emerging technologies: Use of bibliometrics and patent analysis
Tugrul U. Daim et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2006)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Patent quality and research productivity: Measuring innovation with multiple indicators
JO Lanjouw et al.
ECONOMIC JOURNAL (2004)
Citations, family size, opposition and the value of patent rights
D Harhoff et al.
RESEARCH POLICY (2003)
Comparing supervised and unsupervised category learning
BC Love
PSYCHONOMIC BULLETIN & REVIEW (2002)
Avoiding the pitfalls of emerging technologies
GS Day et al.
CALIFORNIA MANAGEMENT REVIEW (2000)
分享论文
