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Daniel Oblinger

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2010 – today

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2017
[r2]
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Pietro Michelucci, Daniel Oblinger:
Cumulative Learning. Encyclopedia of Machine Learning and Data Mining 2017: 306-314
2011
[j6]
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Daniel Oblinger:
Toward a Computational Model of Transfer. AI Magazine 32(2): 126-128 (2011)
2010
[j5]
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Vittorio Castelli, Lawrence D. Bergman, Tessa Lau, Daniel Oblinger:
Sheepdog, parallel collaborative programming-by-demonstration. Knowl.-Based Syst. 23(2): 94-109 (2010)
[c10]
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Stephanie M. Strassel, Dan Adams, Henry Goldberg, Jonathan Herr, Ron Keesing, Daniel Oblinger, Heather Simpson, Robert Schrag, Jonathan Wright:
The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks. LREC 2010
[r1]
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Pietro Michelucci, Daniel Oblinger:
Cumulative Learning. Encyclopedia of Machine Learning 2010: 249-257

2000 – 2009

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2008
[c9]
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Daniel Oblinger:
Towards an Adaptive Intelligent Agent. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 140
2007
[j4]
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Vittorio Castelli, Daniel Oblinger, Lawrence D. Bergman:
Augmentation-Based Learning combining observations and user edits for Programming-by-Demonstration. Knowl.-Based Syst. 20(6): 575-591 (2007)
[c8]
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Vittorio Castelli, Lawrence D. Bergman, Daniel Oblinger:
Learning by Combining Observations and User Edits. AAAI 2007: 1610-1613
2006
[c7]
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  - conf/iui/OblingerCB06
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Daniel Oblinger, Vittorio Castelli, Lawrence D. Bergman:
Augmentation-based learning: combining observations and user edits for programming-by-demonstration. IUI 2006: 202-209
2005
[j3]
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Diego Mollá Aliod, Eduardo Alonso, Srinivas Bangalore, Joseph E. Beck, Bir Bhanu, Jim Blythe, Mark S. Boddy, Amedeo Cesta, Marko Grobelnik, Dilek Z. 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:
The Workshops at the Twentieth National Conference on Artificial Intelligence. AI Magazine 26(4): 102-108 (2005)
[c6]
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Daniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman:
Similarity-Based Alignment and Generalization. ECML 2005: 657-664
[c5]
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Lawrence D. Bergman, Vittorio Castelli, Tessa A. Lau, Daniel Oblinger:
DocWizards: a system for authoring follow-me documentation wizards. UIST 2005: 191-200
2004
[c4]
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Tessa A. Lau, Lawrence D. Bergman, Vittorio Castelli, Daniel Oblinger:
Sheepdog: learning procedures for technical support. IUI 2004: 109-116
2003
[j2]
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  - journals/ci/VilaltaO03
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Ricardo Vilalta, Daniel Oblinger:
Evaluation Metrics in Classification: A Quantification of Distance-Bias. Computational Intelligence 19(3): 264-283 (2003)
2002
[j1]
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Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz:
Cross training and its application to skill mining. IBM Systems Journal 41(3): 449-460 (2002)
2001
[c3]
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  - conf/ecml/VilaltaBOR01
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Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish:
A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML 2001: 503-514
[c2]
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Nina Mishra, Daniel Oblinger, Leonard Pitt:
Sublinear time approximate clustering. SODA 2001: 439-447
2000
[c1]
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Ricardo Vilalta, Daniel Oblinger:
A Quantification of Distance Bias Between Evaluation Metrics In Classification. ICML 2000: 1087-1094

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