Volodymyr Kuleshov
Cornell University(US)
Publications by Year
Research Areas
Genomics and Phylogenetic Studies, Generative Adversarial Networks and Image Synthesis, Topic Modeling, Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning
Most-Cited Works
- → A guide to deep learning in healthcare(2018)4,297 cited
- → Accurate Uncertainties for Deep Learning Using Calibrated Regression(2018)271 cited
- → Algorithms for multi-armed bandit problems(2014)235 cited
- → Whole-genome haplotyping using long reads and statistical methods(2014)183 cited
- → Synthetic long-read sequencing reveals intraspecies diversity in the human microbiome(2015)111 cited
- Accurate Uncertainties for Deep Learning Using Calibrated Regression.(2018)
- Adversarial Examples for Natural Language Classification Problems(2018)
- Calibrated structured prediction(2015)
- → Probabilistic single-individual haplotyping(2014)70 cited
- Algorithms for the multi-armed bandit problem(2000)