Daniel Oblinger

19 papers A* 4A 2B 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2017	—	`ch.`	Cumulative Learning. Encyclopedia of Machine Learning and Data Mining Pietro Michelucci, Daniel Oblinger
2011	J	`jnl`	Toward a Computational Model of Transfer. AI Mag. Daniel Oblinger
2010	—	`ch.`	Cumulative Learning. Encyclopedia of Machine Learning Pietro Michelucci, Daniel Oblinger
2010	J	`jnl`	Sheepdog, parallel collaborative programming-by-demonstration. Knowl. Based Syst. Vittorio Castelli, Lawrence D. Bergman, Tessa Lau, Daniel Oblinger
2010	B	`conf`	The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks. LREC Stephanie M. Strassel, Dan Adams, Henry Goldberg, Jonathan Herr, Ron Keesing, Daniel Oblinger, Heather Simpson, Robert Schrag, Jonathan Wright
2008	—	`conf`	Towards an Adaptive Intelligent Agent. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Daniel Oblinger
2007	J	`jnl`	Augmentation-Based Learning combining observations and user edits for Programming-by-Demonstration. Knowl. Based Syst. Vittorio Castelli, Daniel Oblinger, Lawrence D. Bergman
2007	A*	`conf`	Learning by Combining Observations and User Edits. AAAI Vittorio Castelli, Lawrence D. Bergman, Daniel Oblinger
2006	A	`conf`	Augmentation-based learning: combining observations and user edits for programming-by-demonstration. IUI Daniel Oblinger, Vittorio Castelli, Lawrence D. Bergman
2005	A*	`conf`	DocWizards: a system for authoring follow-me documentation wizards. UIST Lawrence D. Bergman, Vittorio Castelli, Tessa A. Lau, Daniel Oblinger
2005	—	`conf`	Similarity-Based Alignment and Generalization. ECML Daniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman
2005	J	`jnl`	The Workshops at the Twentieth National Conference on Artificial Intelligence. AI Mag. 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, Deborah L. McGuinness, Stacy Marsella, Natasa Milic-Frayling, Dunja Mladenic, Daniel Oblinger, Paul E. Rybski, Pavel Shvaiko, Stephen F. Smith, Biplav Srivastava, Sheila Tejada, Hannes Högni Vilhjálmsson, Kristinn R. Thórisson, Gökhan Tür, José Luis Vicedo González, Holger Wache
2004	A	`conf`	Sheepdog: learning procedures for technical support. IUI Tessa A. Lau, Lawrence D. Bergman, Vittorio Castelli, Daniel Oblinger
2003	J	`jnl`	Evaluation Metrics in Classification: A Quantification of Distance-Bias. Comput. Intell. Ricardo Vilalta, Daniel Oblinger
2002	J	`jnl`	Cross training and its application to skill mining. IBM Syst. J. Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz
2001	—	`conf`	A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish
2001	A*	`conf`	Sublinear time approximate clustering. SODA Nina Mishra, Daniel Oblinger, Leonard Pitt
2000	A*	`conf`	A Quantification of Distance Bias Between Evaluation Metrics In Classification. ICML Ricardo Vilalta, Daniel Oblinger
1998	—	`—`	Plausible Inference: A Knowledge-Intensive Approach to Induction (An Application of PI to the Problem of Hidden Homology Modeling) Daniel Oblinger