Plausible Inference: A Knowledge-Intensive Approach to Induction (An Application of PI to the Problem of Hidden Homology Modeling) - Daniel Oblinger (1998)

A Quantification of Distance Bias Between Evaluation Metrics In Classification. - Ricardo Vilalta; Daniel Oblinger (ICML, 2000)

A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. - Ricardo Vilalta; Mark Brodie; Daniel Oblinger; Irina Rish (ECML, 2001)

Sublinear time approximate clustering. - Nina Mishra; Daniel Oblinger; Leonard Pitt (SODA, 2001)

Cross training and its application to skill mining. - Daniel Oblinger; Mark D. Reid; Mark Brodie; Rodrigo de Salvo Braz (IBM Syst. J., 2002)

Evaluation Metrics in Classification: A Quantification of Distance-Bias. - Ricardo Vilalta; Daniel Oblinger (Comput. Intell., 2003)

Sheepdog: learning procedures for technical support. - Tessa A. Lau; Lawrence D. Bergman; Vittorio Castelli; Daniel Oblinger (IUI, 2004)

Similarity-Based Alignment and Generalization. - Daniel Oblinger; Vittorio Castelli; Tessa A. Lau; Lawrence D. Bergman (ECML, 2005)

DocWizards: a system for authoring follow-me documentation wizards. - Lawrence D. Bergman; Vittorio Castelli; Tessa A. Lau; Daniel Oblinger (UIST, 2005)

The Workshops at the Twentieth National Conference on Artificial Intelligence. - Diego Mollá Aliod; Eduardo Alonso; Srinivas Bangalore; Joseph E. Beck; Bir Bhanu; Jim Blythe; Mark S. Boddy; Amedeo Cesta; Marko Grobelnik; Dilek Hakkani-Tür; Sanda M. Harabagiu; Alain Léger; et al. (AI Mag., 2005)

Learning by Combining Observations and User Edits. - Vittorio Castelli; Lawrence D. Bergman; Daniel Oblinger (AAAI, 2007)

Augmentation-Based Learning combining observations and user edits for Programming-by-Demonstration. - Vittorio Castelli; Daniel Oblinger; Lawrence D. Bergman (Knowl. Based Syst., 2007)

Towards an Adaptive Intelligent Agent. - Daniel Oblinger (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks. - Stephanie M. Strassel; Dan Adams; Henry Goldberg; Jonathan Herr; Ron Keesing; Daniel Oblinger; Heather Simpson; Robert Schrag; Jonathan Wright (LREC, 2010)

Sheepdog, parallel collaborative programming-by-demonstration. - Vittorio Castelli; Lawrence D. Bergman; Tessa Lau; Daniel Oblinger (Knowl. Based Syst., 2010)

Cumulative Learning. - Pietro Michelucci; Daniel Oblinger (Encyclopedia of Machine Learning, 2010)

Toward a Computational Model of Transfer. - Daniel Oblinger (AI Mag., 2011)

Cumulative Learning. - Pietro Michelucci; Daniel Oblinger (Encyclopedia of Machine Learning and Data Mining, 2017)