Nigel Duffy
Ernst & Young (United States)(US)
Publications by Year
Research Areas
Neural Networks and Applications, Machine Learning and Algorithms, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, Topic Modeling
Most-Cited Works
- → Support vector machine classification and validation of cancer tissue samples using microarray expression data(2000)2,465 cited
- → Convolution Kernels for Natural Language(2002)813 cited
- → Evolving Deep Neural Networks(2018)784 cited
- → New ranking algorithms for parsing and tagging(2001)505 cited
- → Boosting Methods for Regression(2002)182 cited
- Potential Boosters(1999)
- Leveraging for Regression(2000)
- → A Geometric Approach to Leveraging Weak Learners(1999)23 cited
- → Identification of new inhibitors of protein kinase R guided by statistical modeling(2011)21 cited