Richard E. Neapolitan

Publication Activity (10 Years)

Years Active: 1986-2020
Publications (10 Years): 6

Top Topics

Machine Learning

Information Gain

Conditional Probabilities

Natural Language Processing And Machine Learning

Top Venues

Briefings Bioinform.

J. Am. Medical Informatics Assoc.

Publications

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) (2020)
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. (17) (2018)
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) (2017)
Zexian Zeng, Xia Jiang, Richard E. Neapolitan
Discovering causal interactions using Bayesian network scoring and information gain. BMC Bioinform. 17 (2016)
Xia Jiang, Richard E. Neapolitan
Evaluation of a two-stage framework for prediction using big genomic data. Briefings Bioinform. 16 (6) (2015)
Michael Bass, Scott B. Morris, Richard E. Neapolitan
Utilizing Multidimensional Computer Adaptive Testing to Mitigate Burden With Patient Reported Outcomes. AMIA (2015)
Richard E. Neapolitan, Xia Jiang
A Note of Caution on Maximizing Entropy. Entropy 16 (7) (2014)
Richard E. Neapolitan, James R. Kenevan
Computation of Variances in Causal Networks CoRR (2013)
Richard E. Neapolitan, James R. Kenevan
Justifying the Principle of Interval Constraints CoRR (2013)
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 (2013)
Scott B. Morris, Doug Cork, Richard E. Neapolitan
The Cognitive Processing of Causal Knowledge CoRR (2013)
Richard E. Neapolitan, James R. Kenevan
Investigation of Variances in Belief Networks CoRR (2013)
Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran
Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinform. 12 (2011)
Scott B. Morris, Doug Cork, Richard E. Neapolitan
Cognitive Processing of Causal Knowledge. UAI (1997)
Richard E. Neapolitan
Is higher-order uncertainty needed? IEEE Trans. Syst. Man Cybern. Part A 26 (3) (1996)
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)
Richard E. Neapolitan
The interpretation and application of belief functions. Appl. Artif. Intell. 7 (2) (1993)
Richard E. Neapolitan, James R. Kenevan
Investigation of Variances in Belief Networks. UAI (1991)
Richard E. Neapolitan
Models for reasoning under uncertainty. Appl. Artif. Intell. 1 (4) (1987)
Richard E. Neapolitan
A Note of caution on Combining Certainties. Int. J. Pattern Recognit. Artif. Intell. 1 (3-4) (1987)
Richard E. Neapolitan
Models for reasoning under uncertainty (abstract). ACM Conference on Computer Science (1986)