Valentina Fedorova

According to our database1, Valentina Fedorova authored at least 18 papers between 2012 and 2020.

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

2020
Text Recognition Using Anonymous CAPTCHA Answers.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Crowdsourcing Practice for Efficient Data Labeling: Aggregation, Incremental Relabeling, and Pricing.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Practice of Efficient Data Collection via Crowdsourcing at Large-Scale.
CoRR, 2019

Latent Distribution Assumption for Unbiased and Consistent Consensus Modelling.
CoRR, 2019

Aggregation of pairwise comparisons with reduction of biases.
CoRR, 2019

2017
Criteria of efficiency for set-valued classification.
Ann. Math. Artif. Intell., 2017

2016
An Optimization Framework for Remapping and Reweighting Noisy Relevance Labels.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Criteria of Efficiency for Conformal Prediction.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2015
Hypergraphical Conformal Predictors.
Int. J. Artif. Intell. Tools, 2015

Large-scale probabilistic predictors with and without guarantees of validity.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Conformal prediction and testing under on-line compression models.
PhD thesis, 2014

Certificates of Non-Membership for Classes of Read-Once Functions.
Fundam. Informaticae, 2014

From Conformal to Probabilistic Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013
Conformal Prediction under Hypergraphical Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

2012
Testing the Gauss linear assumption for on-line predictions.
Prog. Artif. Intell., 2012

Plug-in martingales for testing exchangeability on-line.
Proceedings of the 29th International Conference on Machine Learning, 2012


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