Richard E. Neapolitan

According to our database, Richard E. Neapolitan authored at least 22 papers between 1986 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis.

Xia Jiang, Alan Wells, Adam Brufsky, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan

BMC Bioinform., 2020

2018

Using natural language processing and machine learning to identify breast cancer local recurrence.

Zexian Zeng, Sasa Espino, Ankita Roy, Xiaoyu Li, Seema A. Khan, Susan E. Clare, Xia Jiang, Richard E. Neapolitan, Yuan Luo

BMC Bioinform., 2018

2017

Advancing the efficiency and efficacy of patient reported outcomes with multivariate computer adaptive testing.

Scott B. Morris, Mike Bass, Mirinae Lee, Richard E. Neapolitan

J. Am. Medical Informatics Assoc., 2017

2016

Discovering causal interactions using Bayesian network scoring and information gain.

Zexian Zeng, Xia Jiang, Richard E. Neapolitan

BMC Bioinform., 2016

2015

Evaluation of a two-stage framework for prediction using big genomic data.

Xia Jiang, Richard E. Neapolitan

Briefings Bioinform., 2015

Utilizing Multidimensional Computer Adaptive Testing to Mitigate Burden With Patient Reported Outcomes.

Michael Bass, Scott B. Morris, Richard E. Neapolitan

Proceedings of the AMIA 2015, 2015

2014

A Note of Caution on Maximizing Entropy.

Richard E. Neapolitan, Xia Jiang

Entropy, 2014

2013

Justifying the Principle of Interval Constraints

Richard E. Neapolitan, James R. Kenevan

CoRR, 2013

Computation of Variances in Causal Networks

Richard E. Neapolitan, James R. Kenevan

CoRR, 2013

2011

Learning genetic epistasis using Bayesian network scoring criteria.

Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran

BMC Bioinform., 2011

Foundations of Algorithms (4. ed.).

Richard E. Neapolitan, Kumarss Naimipour

Jones and Bartlett, ISBN: 978-0-7637-8250-4, 2011

2008

A Polemic for Bayesian Statistics.

Richard E. Neapolitan

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Data Mining - Know It All.

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

Morgan Kaufmann, ISBN: 978-0-12-374629-0, 2008

1997

Cognitive Processing of Causal Knowledge.

Scott B. Morris, Doug Cork, Richard E. Neapolitan

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996

Is higher-order uncertainty needed?

Richard E. Neapolitan

IEEE Trans. Syst. Man Cybern. Part A, 1996

1993

The interpretation and application of belief functions.

Richard E. Neapolitan

Appl. Artif. Intell., 1993

An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks.

Peter Che, Richard E. Neapolitan, James R. Kenevan, Martha W. Evens

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1991

Investigation of Variances in Belief Networks.

Richard E. Neapolitan, James R. Kenevan

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1990

Probabilistic reasoning in expert systems - theory and algorithms.

Richard E. Neapolitan

Wiley, ISBN: 978-0-471-61840-9, 1990

1987

A Note of caution on Combining Certainties.

Richard E. Neapolitan

Int. J. Pattern Recognit. Artif. Intell., 1987

Models for reasoning under uncertainty.

Richard E. Neapolitan

Appl. Artif. Intell., 1987

1986

Models for reasoning under uncertainty (abstract).

Richard E. Neapolitan

Proceedings of the 14th ACM Annual Conference on Computer Science, 1986