John M. Aronis

According to our database1, John M. Aronis authored at least 17 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Online Transfer Learning for RSV Case Detection.
CoRR, 2024

2017
A Bayesian system to detect and characterize overlapping outbreaks.
J. Biomed. Informatics, 2017

2006
Gender, achievement, and persistence in an undergraduate computer science program.
Data Base, 2006

2005
Predicting dire outcomes of patients with community acquired pneumonia.
J. Biomed. Informatics, 2005

2004
Increasing Diversity in the Information Technology Workforce: Implications from a Study of Factors that Predict Achievement in CS.
Proceedings of the Embracing Diversity in the Learning Sciences: Proceedings of the 6th International Conference for the Learning Sciences, 2004

2003
Gender and race in predicting achievement in computer science.
IEEE Technol. Soc. Mag., 2003

A study to identify predictors of achievement in an introductory computer science course.
Proceedings of the 2003 SIGMIS Conference on Computer Personnel Research: Freedom in Philadelphia, 2003

2000
Modeling pedagogical interactions with machine learning.
Kognitionswissenschaft, 2000

A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia.
Proceedings of the AMIA 2000, 2000

1999
Identifying patient subgroups with simple Bayes'.
Proceedings of the AMIA 1999, 1999

1998
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity.
Mach. Learn., 1998

1997
An evaluation of machine-learning methods for predicting pneumonia mortality.
Artif. Intell. Medicine, 1997

Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
Scaling Up Inductive Learning with Massive Parallelism.
Mach. Learn., 1996

Exploiting Background Knowledge in Automated Discovery.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1994
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

1992
Hybridizing Nonmonotonic Inheritance with Theorem Proving.
Ann. Math. Artif. Intell., 1992


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