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Using Machine Learning With Technological Innovation Factors to Predict the Transferability of University Patents
16 references·0 citing·53 second hop
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References

  • 2013Economics of Industrial Innovation1,053 cited
  • 2021Forecasting gold price with the XGBoost algorithm and SHAP interaction values334 cited
  • 2021Patent Quality: Towards a Systematic Framework for Analysis and Measurement294 cited
  • 2010The Global Governance of Knowledge137 cited
  • 2019Private and public values of innovation: A patent analysis of synthetic biology82 cited
  • 2018Citations as a measure of technological impact: A review of forward citation-based measures75 cited
  • 2015A Predictive Model of Technology Transfer Using Patent Analysis67 cited
  • 2019The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China66 cited
  • 2019Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer65 cited
  • 2018Ensemble Modeling for Sustainable Technology Transfer47 cited
  • 2023Hybrid machine learning approach for construction cost estimation: an evaluation of extreme gradient boosting model39 cited
  • 2020Identifying technology evolution pathways using topic variation detection based on patent data: A case study of 3D printing34 cited
  • 2018Patent Quality Valuation with Deep Learning Models34 cited
  • 2019A transferability evaluation model for intellectual property

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29 cited
  • 2020Does Firm's Value Matter With Firm's Patent Quality in Technology-Intensive Industries?24 cited
  • 2021A collaborative evaluation method of the quality of patent scientific and technological resources17 cited
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