Plant-symbiotic fungi as chemical engineers: multi-genome analysis of the Clavicipitaceae reveals dynamics of alkaloid loci CL Schardl, CA Young, U Hesse, SG Amyotte, K Andreeva, PJ Calie, ... PLoS genetics 9 (2), e1003323, 2013 | 440 | 2013 |

Approximate techniques in solving optimal camera placement problems J Zhao, R Yoshida, SS Cheung, D Haws International Journal of Distributed Sensor Networks 9 (11), 241913, 2013 | 86 | 2013 |

Short rational functions for toric algebra and applications JA De Loera, D Haws, R Hemmecke, P Huggins, B Sturmfels, R Yoshida Journal of Symbolic Computation 38 (2), 959-973, 2004 | 54 | 2004 |

Ehrhart polynomials of matroid polytopes and polymatroids JA De Loera, DC Haws, M Köppe Discrete & computational geometry 42, 670-702, 2009 | 44 | 2009 |

Optimality of the neighbor joining algorithm and faces of the balanced minimum evolution polytope DC Haws, TL Hodge, R Yoshida Bulletin of mathematical biology 73, 2627-2648, 2011 | 43 | 2011 |

Polyhedral aspects of score equivalence in Bayesian network structure learning J Cussens, D Haws, M Studenı Mathematical Programming 164, 285-324, 2017 | 41 | 2017 |

Using recurrent neural network for partitioning of audio data into segments that each correspond to a speech feature cluster identifier DB Dimitriadis, DC Haws, M Picheny, G Saon, S Thomas US Patent 10,546,575, 2020 | 26 | 2020 |

MINT: mutual information based transductive feature selection for genetic trait prediction D He, I Rish, D Haws, L Parida IEEE/ACM transactions on computational biology and bioinformatics 13 (3 …, 2015 | 25 | 2015 |

Learning Bayesian network structure: towards the essential graph by integer linear programming tools M Studenı, D Haws International Journal of Approximate Reasoning 55 (4), 1043-1071, 2014 | 25 | 2014 |

Variable-selection emerges on top in empirical comparison of whole-genome complex-trait prediction methods DC Haws, I Rish, S Teyssedre, D He, AC Lozano, P Kambadur, ... PloS one 10 (10), e0138903, 2015 | 23 | 2015 |

A user’s guide for latte v1. 1 JA De Loera, D Haws, R Hemmecke, P Huggins, J Tauzer, R Yoshida University of California, Davis, 2003 | 23 | 2003 |

A computational study of integer programming algorithms based on Barvinok's rational functions JA De Loera, D Haws, R Hemmecke, P Huggins, R Yoshida Discrete Optimization 2 (2), 135-144, 2005 | 20 | 2005 |

Three kinds of integer programming algorithms based on barvinok’s rational functions JA De Loera, D Haws, R Hemmecke, P Huggins, R Yoshida Integer Programming and Combinatorial Optimization: 10th International IPCO …, 2004 | 20 | 2004 |

Supervised and unsupervised approaches for controlling narrow lexical focus in sequence-to-sequence speech synthesis S Shechtman, R Fernandez, D Haws 2021 IEEE Spoken Language Technology Workshop (SLT), 431-437, 2021 | 17 | 2021 |

Cyclegan bandwidth extension acoustic modeling for automatic speech recognition D Haws, X Cui ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 17 | 2019 |

Using long short-term memory recurrent neural network for speaker diarization segmentation DB Dimitriadis, DC Haws, M Picheny, G Saon, S Thomas US Patent 10,249,292, 2019 | 17 | 2019 |

Bayes estimators for phylogenetic reconstruction PM Huggins, W Li, D Haws, T Friedrich, J Liu, R Yoshida Systematic biology 60 (4), 528-540, 2011 | 14 | 2011 |

On the importance of event detection for ASR D Haws, D Dimitriadis, G Saon, S Thomas, M Picheny 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 13 | 2016 |

Semigroups and sequential importance sampling for multiway tables R Yoshida, J Xi, S Wei, F Zhou, D Haws arXiv preprint arXiv:1111.6518, 2011 | 13 | 2011 |

Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. G Kurata, G Saon, B Kingsbury, D Haws, Z Tüske Interspeech, 2027-2031, 2021 | 12 | 2021 |