Axinia Radeva

According to our database1, Axinia Radeva authored at least 16 papers between 2009 and 2018.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Cross-lingual sentiment transfer with limited resources.
Mach. Transl., 2018

Prediction of a hotspot pattern in keyword search results.
Comput. Speech Lang., 2018

2017
The Columbia-GWU System at the 2017 TAC KBP BeSt Evaluation.
Proceedings of the 2017 Text Analysis Conference, 2017

2016
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation.
Proceedings of the 2016 Text Analysis Conference, 2016


Using Kernel Methods and Model Selection for Prediction of Preterm Birth.
Proceedings of the 1st Machine Learning in Health Care, 2016

2014
Analytics for Power Grid Distribution Reliability in New York City.
Interfaces, 2014

Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2012
Leveraging Subjective Human Annotation for Clustering Historic Newspaper Articles
CoRR, 2012

Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

Multivariate Assessment of a Repair Program for a New York City Electrical Grid.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
21st-Century Data Miners Meet 19th-Century Electrical Cables.
Computer, 2011

Learning Parameters of the K-Means Algorithm From Subjective Human Annotation.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010
A process for predicting manhole events in Manhattan.
Mach. Learn., 2010

2009
Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2009


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