Predicting High Impact Academic Papers Using Citation Network Features. - Daniel McNamara; Paul Wong; Peter Christen; Kee Siong Ng (PAKDD Workshops, 2013)

Mining for the Meanings of a Murder: The Impact of OCR Quality on the Use of Digitized Historical Newspapers. - Carolyn Strange; Daniel McNamara; Josh Wodak; Ian Wood (Digit. Humanit. Q., 2014)

Roulette: A Customized Circular Sequencer for Generative Music. - Daniel McNamara; Ajay Kapur (ICMC, 2016)

A Modular Theory of Feature Learning. - Daniel McNamara; Cheng Soon Ong; Robert C. Williamson (CoRR, 2016)

Performance guarantees for transferring representations. - Daniel McNamara; Maria-Florina Balcan (ICLR (Workshop), 2017)

Risk Bounds for Transferring Representations With and Without Fine-Tuning. - Daniel McNamara; Maria-Florina Balcan (ICML, 2017)

The fragment string. - Spencer Salazar; Sarah Reid; Daniel McNamara (NIME, 2017)

Provably Fair Representations. - Daniel McNamara; Cheng Soon Ong; Robert C. Williamson (CoRR, 2017)

MOM: an Extensible Platform for Rapid Prototyping and Design of Electroacoustic Instruments. - Ali Momeni 001; Daniel McNamara; Jesse Stiles (NIME, 2018)

MOD: A Portable Instrument for Mixing Analog and Digital Drawing for Live Cinema. - Ali Momeni 001; Daniel McNamara (TEI, 2018)

Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions. - Daniel McNamara (AIES, 2019)

Algorithmic Stereotypes: Implications for Fairness of Generalizing from Past Data. - Daniel McNamara (AIES, 2019)

Costs and Benefits of Fair Representation Learning. - Daniel McNamara; Cheng Soon Ong; Robert C. Williamson (AIES, 2019)