How to select a winner in evolutionary optimization? - Miikkulainen, Risto; Shahrzad, Hormoz; Duffy, Nigel; Long, Philip M. (2017)

Evolving Deep Neural Networks. - Miikkulainen, Risto; Liang, Jason Zhi; Meyerson, Elliot; Rawal, Aditya; Fink, Daniel; Francon, Olivier; Raju, Bala; Shahrzad, Hormoz; Navruzyan, Arshak; Duffy, Nigel; Hodjat, Babak (CoRR, 2017)

Boosting Methods for Regression. - Duffy, Nigel; Helmbold, David P. (Mach. Learn., 2002)

A geometric approach to leveraging weak learners. - Duffy, Nigel; Helmbold, David P. (Theor. Comput. Sci., 2002)

New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. - Collins, Michael; Duffy, Nigel (2002)

Convolution Kernels for Natural Language. - Collins, Michael; Duffy, Nigel (2001)

Support vector machine classification and validation of cancer tissue samples using microarray expression data. - Furey, Terrence S.; Cristianini, Nello; Duffy, Nigel; Bednarski, David W.; Schummer, Michèl; Haussler, David (Bioinform., 2000)

Leveraging for Regression. - Duffy, Nigel; Helmbold, David P. (2000)

A Geometric Approach to Leveraging Weak Learners. - Duffy, Nigel; Helmbold, David P. (1999)

Using multiplicative algorithms to build cascade correlation networks. - Duffy, Nigel (1999)

Potential Boosters? - Duffy, Nigel; Helmbold, David P. (1999)