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ORCIDRichard E. Neapolitan
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2020 – today
- 2020
[j11]Xia Jiang, Alan Wells, Adam Brufsky
, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan:
Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis. BMC Bioinform. 21(1): 298 (2020)
2010 – 2019
- 2018
- [j10]Zexian Zeng, Sasa Espino, Ankita Roy, Xiaoyu Li, Seema A. Khan, Susan E. Clare, Xia Jiang, Richard E. Neapolitan, Yuan Luo:
Using natural language processing and machine learning to identify breast cancer local recurrence. BMC Bioinform. 19-S(17): 65-74 (2018) - 2017
- [j9]Scott B. Morris, Mike Bass, Mirinae Lee, Richard E. Neapolitan:
Advancing the efficiency and efficacy of patient reported outcomes with multivariate computer adaptive testing. J. Am. Medical Informatics Assoc. 24(5): 897-902 (2017) - 2016
- [j8]Zexian Zeng, Xia Jiang, Richard E. Neapolitan:
Discovering causal interactions using Bayesian network scoring and information gain. BMC Bioinform. 17: 221 (2016) - 2015
- [j7]Xia Jiang, Richard E. Neapolitan:
Evaluation of a two-stage framework for prediction using big genomic data. Briefings Bioinform. 16(6): 912-921 (2015) - [c5]Michael Bass, Scott B. Morris, Richard E. Neapolitan:
Utilizing Multidimensional Computer Adaptive Testing to Mitigate Burden With Patient Reported Outcomes. AMIA 2015 - 2014
- [j6]Richard E. Neapolitan, Xia Jiang:
A Note of Caution on Maximizing Entropy. Entropy 16(7): 4004-4014 (2014) - 2013
- [i5]Scott B. Morris, Doug Cork, Richard E. Neapolitan:
The Cognitive Processing of Causal Knowledge. CoRR abs/1302.1563 (2013) - [i4]Peter Che, Richard E. Neapolitan, James R. Kenevan, Martha W. Evens:
An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks. CoRR abs/1303.1489 (2013) - [i3]Richard E. Neapolitan, James R. Kenevan:
Investigation of Variances in Belief Networks. CoRR abs/1303.5733 (2013) - [i2]Richard E. Neapolitan, James R. Kenevan:
Computation of Variances in Causal Networks. CoRR abs/1304.1105 (2013) - [i1]Richard E. Neapolitan, James R. Kenevan:
Justifying the Principle of Interval Constraints. CoRR abs/1304.2369 (2013) - 2011
- [b3]Richard E. Neapolitan, Kumarss Naimipour:
Foundations of Algorithms (4. ed.). Jones and Bartlett 2011, ISBN 978-0-7637-8250-4, pp. I-XV, 1-627 - [j5]Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran:
Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinform. 12: 89 (2011)
2000 – 2009
- 2008
- [b2]Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten:
Data Mining - Know It All. Morgan Kaufmann 2008, ISBN 978-0-12-374629-0, pp. I-XIII, 1-460 - [p1]Richard E. Neapolitan:
A Polemic for Bayesian Statistics. Innovations in Bayesian Networks 2008: 7-32
1990 – 1999
- 1997
- [c4]Scott B. Morris, Doug Cork, Richard E. Neapolitan:
Cognitive Processing of Causal Knowledge. UAI 1997: 384-391 - 1996
- [j4]Richard E. Neapolitan:
Is higher-order uncertainty needed? IEEE Trans. Syst. Man Cybern. Part A 26(3): 294-302 (1996) - 1993
- [j3]Richard E. Neapolitan:
The interpretation and application of belief functions. Appl. Artif. Intell. 7(2): 195-204 (1993) - [c3]Peter Che, Richard E. Neapolitan, James R. Kenevan, Martha W. Evens:
An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks. UAI 1993: 292-300 - 1991
- [c2]Richard E. Neapolitan, James R. Kenevan:
Investigation of Variances in Belief Networks. UAI 1991: 232-241 - 1990
- [b1]Richard E. Neapolitan:
Probabilistic reasoning in expert systems - theory and algorithms. Wiley 1990, ISBN 978-0-471-61840-9, pp. 1-433
1980 – 1989
- 1987
- [j2]Richard E. Neapolitan:
Models for reasoning under uncertainty. Appl. Artif. Intell. 1(4): 337-367 (1987) - [j1]Richard E. Neapolitan:
A Note of caution on Combining Certainties. Int. J. Pattern Recognit. Artif. Intell. 1(3-4): 427- (1987) - 1986
- [c1]Richard E. Neapolitan:
Models for reasoning under uncertainty (abstract). ACM Conference on Computer Science 1986: 460
Coauthor Index
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