2008 |
64 | | Bruce G. Buchanan:
An AI Model of Creativity.
FLAIRS Conference 2008: 2-9 |
63 | EE | Bruce G. Buchanan:
Joshua Lederberg (1925-2008).
IEEE Intelligent Systems 23(2): 10-11 (2008) |
2005 |
62 | | Bruce G. Buchanan:
Some Recollections about the Early Days of AAAI.
AI Magazine 26(4): 13-16 (2005) |
61 | | Bruce G. Buchanan:
A (Very) Brief History of Artificial Intelligence.
AI Magazine 26(4): 53-60 (2005) |
60 | EE | Gregory F. Cooper,
Vijoy Abraham,
Constantin F. Aliferis,
John M. Aronis,
Bruce G. Buchanan,
Rich Caruana,
Michael J. Fine,
Janine E. Janosky,
Gary Livingston,
Tom M. Mitchell:
Predicting dire outcomes of patients with community acquired pneumonia.
Journal of Biomedical Informatics 38(5): 347-366 (2005) |
2004 |
59 | EE | Venkateswarlu Kolluri,
Foster J. Provost,
Bruce G. Buchanan,
Douglas Metzler:
Knowledge Discovery Using Concept-Class Taxonomies.
Australian Conference on Artificial Intelligence 2004: 450-461 |
58 | | Bruce G. Buchanan,
Gary Livingston:
Toward Automated Discovery in the Biological Sciences.
AI Magazine 25(1): 69-84 (2004) |
57 | EE | Xinghua Lu,
Chengxiang Zhai,
Vanathi Gopalakrishnan,
Bruce G. Buchanan:
Automatic annotation of protein motif function with Gene Ontology terms.
BMC Bioinformatics 5: 122 (2004) |
2003 |
56 | | Daniel N. Hennessy,
Bruce G. Buchanan,
John M. Rosenberg:
XtalGrow: Probabilistic Screen Design for Protein Crystallography.
METMBS 2003: 152-158 |
55 | | Bruce G. Buchanan,
Thomas C. Rindfleisch,
Edward A. Feigenbaum:
In Memoriam: Robert Engelmore.
AI Magazine 24(2): 15-20 (2003) |
54 | EE | Gary Livingston,
John M. Rosenberg,
Bruce G. Buchanan:
An Agenda- and Justification-Based Framework for Discovery Systems.
Knowl. Inf. Syst. 5(2): 133-161 (2003) |
2002 |
53 | EE | Daniel N. Hennessy,
Bruce G. Buchanan,
John M. Rosenberg:
Bayesian Case Reconstruction.
ECCBR 2002: 148-158 |
52 | | Bruce G. Buchanan,
Jonathan Glick:
AI Topics.
AI Magazine 23(1): 87-94 (2002) |
2001 |
51 | EE | Gary Livingston,
John M. Rosenberg,
Bruce G. Buchanan:
Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform.
ICDM 2001: 385-392 |
50 | EE | Gary Livingston,
John M. Rosenberg,
Bruce G. Buchanan:
Closing the Loop: Heuristics for Autonomous Discovery.
ICDM 2001: 393-400 |
49 | EE | Joseph Phillips,
Bruce G. Buchanan:
Ontology-guided knowledge discovery in databases.
K-CAP 2001: 123-130 |
48 | | Bruce G. Buchanan:
Creativity at the Metalevel: AAAI-2000 Presidential Address.
AI Magazine 22(3): 13-28 (2001) |
47 | EE | Wendy Webber Chapman,
Will Bridewell,
Paul Hanbury,
Gregory F. Cooper,
Bruce G. Buchanan:
A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries.
Journal of Biomedical Informatics 34(5): 301-310 (2001) |
2000 |
46 | EE | Jeremy Ludwig,
Gary Livingston,
Emmanouil Vozalis,
Bruce G. Buchanan:
What's new? Using prior models as a measure of novelty in knowledge discovery.
ICTAI 2000: 86-89 |
45 | | Vanathi Gopalakrishnan,
Bruce G. Buchanan,
John M. Rosenberg:
Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization.
ISMB 2000: 171-182 |
44 | EE | Bruce G. Buchanan:
Informed knowledge discovery: using prior knowledge in discovery programs (invited talk, abstract only).
KDD 2000: 3 |
1999 |
43 | | Gary Livingston,
Bruce G. Buchanan:
Autonomous Discovery In Empirical Domains.
AAAI/IAAI 1999: 968 |
42 | | Bruce G. Buchanan,
Sam Uthurusamyr:
The Innovative Applications of Artificial Intelligence Conference.
AI Magazine 20(1): 11-12 (1999) |
1998 |
41 | EE | Vanathi Gopalakrishnan,
Bruce G. Buchanan:
Representing and Learning Temporal Relationships among Experimental Variables.
TIME 1998: 148-155 |
40 | | Bruce G. Buchanan,
Giuseppe Carenini,
Vibhu O. Mittal,
Johanna D. Moore:
Designing computer-based frameworks that facilitate doctor-patient collaboration.
Artificial Intelligence in Medicine 12(2): 169-191 (1998) |
39 | | Yongwon Lee,
Bruce G. Buchanan,
John M. Aronis:
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity.
Machine Learning 30(2-3): 217-240 (1998) |
1997 |
38 | | Gregory F. Cooper,
Constantin F. Aliferis,
R. Ambrosino,
John M. Aronis,
Bruce G. Buchanan,
Rich Caruana,
Michael J. Fine,
Clark Glymour,
G. Gordon,
B. H. Hanusa,
Janine E. Janosky,
Christopher Meek,
Tom M. Mitchell,
Thomas Richardson,
Peter Spirtes:
An evaluation of machine-learning methods for predicting pneumonia mortality.
Artificial Intelligence in Medicine 9(2): 107-138 (1997) |
1996 |
37 | | John M. Aronis,
Foster J. Provost,
Bruce G. Buchanan:
Exploiting Background Knowledge in Automated Discovery.
KDD 1996: 355-358 |
1995 |
36 | | Bruce G. Buchanan,
Johanna D. Moore,
D. E. Forsythe,
Giuseppe Carenini,
S. Ohlsson,
Gordon Banks:
An intelligent interactive system for delivering individualized information to patients.
Artificial Intelligence in Medicine 7(2): 117-154 (1995) |
35 | | Foster J. Provost,
Bruce G. Buchanan:
Inductive Policy: The Pragmatics of Bias Selection.
Machine Learning 20(1-2): 35-61 (1995) |
1994 |
34 | | Vanathi Gopalakrishnan,
Daniel N. Hennessy,
Bruce G. Buchanan,
Devika Subramanian:
The Crystallographer's Assistant.
AAAI 1994: 1451 |
33 | | Daniel N. Hennessy,
Vanathi Gopalakrishnan,
Bruce G. Buchanan,
John M. Rosenberg,
Devika Subramanian:
Induction of Rules for Biological Macromolecular Crystallization.
ISMB 1994: 179-187 |
1993 |
32 | | Bing Leng,
Bruce G. Buchanan,
Hugh B. Nicholas:
Protein Secondary Structure Prediction Using Two-Level Case-Based Reasoning.
ISMB 1993: 251-259 |
31 | | Randall Davis,
Bruce G. Buchanan,
Edward H. Shortliffe:
Retrospective on "Production Rules as a Representation for a Knowledge-Based Consultation Program".
Artif. Intell. 59(1-2): 181-189 (1993) |
30 | | Edward A. Feigenbaum,
Bruce G. Buchanan:
DENDRAL and Meta-DENDRAL: Roots of Knowledge Systems and Expert System Applications.
Artif. Intell. 59(1-2): 233-240 (1993) |
29 | | Robert K. Lindsay,
Bruce G. Buchanan,
Edward A. Feigenbaum,
Joshua Lederberg:
DENDRAL: A Case Study of the First Expert System for Scientific Hypothesis Formation.
Artif. Intell. 61(2): 209-261 (1993) |
1992 |
28 | | Foster J. Provost,
Bruce G. Buchanan:
Inductive Policy.
AAAI 1992: 255-261 |
27 | | Foster J. Provost,
Bruce G. Buchanan:
Inductive Strengthening: the Effects of a Simple Heuristic for Restricting Hypothesis Space Search.
AII 1992: 294-304 |
26 | | Bing Leng,
Bruce G. Buchanan:
Extending Inductive Methods to Create Practical Tools for Building Expert Systems.
ICTAI 1992: 442-445 |
1991 |
25 | | Bing Leng,
Bruce G. Buchanan:
Constructive Induction on Symbolic Features.
ML 1991: 163-167 |
24 | | Bruce G. Buchanan:
In Memorium-Jonathan J. King (1949-1991).
AI Magazine 12(2): 6 (1991) |
1989 |
23 | | Scott H. Clearwater,
Tze-Pin Chen,
Haym Hirsh,
Bruce G. Buchanan:
Incremental Batch Learning.
ML 1989: 366-370 |
22 | | Bruce G. Buchanan:
Can Machine Learning Offer Anything to Expert Systems?
Machine Learning 4: 251-254 (1989) |
1988 |
21 | | Andrew Gelman,
Susan Altman,
Matt Pallakoff,
Ketan Doshi,
Catherine Manago,
Thomas C. Rindfleisch,
Bruce G. Buchanan:
FRM: An Intelligent Assistant for Financial Resource Management.
AAAI 1988: 31-36 |
20 | | Bruce G. Buchanan,
John Sullivan,
Tze-Pin Cheng,
Scott H. Clearwater:
Simulation-Assisted Inductive Learning.
AAAI 1988: 552-557 |
19 | EE | Eric Schoen,
Reid G. Smith,
Bruce G. Buchanan:
Design of Knowledge-Based Systems with a Knowledge-Based Assistant.
IEEE Trans. Software Eng. 14(12): 1771-1791 (1988) |
18 | EE | James F. Brinkley,
Russ B. Altman,
Bruce S. Duncan,
Bruce G. Buchanan,
Oleg Jardetzky:
Heuristic refinement method for the derivation of protein solution structures: validation on cytochrome b562.
Journal of Chemical Information and Computer Sciences 28(4): 194-210 (1988) |
1987 |
17 | | Russ B. Altman,
Bruce G. Buchanan:
Partial Compilation of Strategic Knowledge.
AAAI 1987: 399-404 |
16 | | David C. Wilkins,
William J. Clancey,
Bruce G. Buchanan:
Knowledge Base Refinement by Monitoring Abstract Control Knowledge.
International Journal of Man-Machine Studies 27(3): 281-293 (1987) |
1986 |
15 | | David C. Wilkins,
Bruce G. Buchanan:
On Debugging Rule Sets When Reasoning Under Uncertainty.
AAAI 1986: 448-454 |
14 | | Barbara Hayes-Roth,
Bruce G. Buchanan,
Olivier Lichtarge,
Mike Hewitt,
Russ B. Altman,
James F. Brinkley,
Craig Cornelius,
Bruce S. Duncan,
Oleg Jardetzky:
PROTEAN: Deriving Protein Structure from Constraints.
AAAI 1986: 904-909 |
1985 |
13 | | LiMin Fu,
Bruce G. Buchanan:
Learning Intermediate Concepts in Constructing a Hierarchical Knowldege Base.
IJCAI 1985: 659-666 |
12 | | Reid G. Smith,
Howard A. Winston,
Tom M. Mitchell,
Bruce G. Buchanan:
Representation and Use of Explicit Justifications for Knowledge Base Refinements.
IJCAI 1985: 673-680 |
11 | | Bruce G. Buchanan:
Expert Systems.
J. Autom. Reasoning 1(1): 28-35 (1985) |
1983 |
10 | | Bruce G. Buchanan:
Introduction to the COMTEX Microfiche Edition of Memos from the Stanford University Artificial Intelligence Laboratory.
AI Magazine 4(4): 37-42 (1983) |
9 | | Bruce G. Buchanan,
Richard O. Duda:
Principles of Rule-Based Expert Systems.
Advances in Computers 22: 163-216 (1983) |
1978 |
8 | | Bruce G. Buchanan,
Edward A. Feigenbaum:
Dendral and Meta-Dendral: Their Applications Dimension.
Artif. Intell. 11(1-2): 5-24 (1978) |
1977 |
7 | | Reid G. Smith,
Tom M. Mitchell,
R. A. Chestek,
Bruce G. Buchanan:
A Model for Learning Systems.
IJCAI 1977: 338-343 |
6 | | Randall Davis,
Bruce G. Buchanan:
Meta-Level Knowledge: Overview and Applications.
IJCAI 1977: 920-927 |
5 | | Saul Amarel,
John Seely Brown,
Bruce G. Buchanan,
Peter E. Hart,
Casimir A. Kulikowski,
William A. Martin,
Harry E. Pople:
Applications of Artificial Intelligence.
IJCAI 1977: 994-1006 |
4 | | Randall Davis,
Bruce G. Buchanan,
Edward H. Shortliffe:
Production Rules as a Representation for a Knowledge-Based Consultation Program.
Artif. Intell. 8(1): 15-45 (1977) |
1973 |
3 | | Bruce G. Buchanan,
N. S. Sridharan:
Analysis of Behavior of Chemical Molecules: Rule Formation on Non-Homogeneous Classes of Objects.
IJCAI 1973: 67-76 |
1971 |
2 | | Bruce G. Buchanan,
Joshua Lederberg:
The Heuristic DENDRAL Program for Explaining Empirical Data.
IFIP Congress (1) 1971: 179-188 |
1 | | Bruce G. Buchanan,
Edward A. Feigenbaum,
Joshua Lederberg:
A Heuristic Programming Study of Theory Formation in Science.
IJCAI 1971: 40-50 |