Inventor · New York, NY, US

David C. Haws

14Patents

3h-index

10Co-inventors

53Inventor score

Filing activity: Dec 11, 2012 → Dec 13, 2021

Most-cited inventions

Patent	Title	Area	Cited by	Status
US9471881B2	Transductive feature selection with maximum-relevancy and minimum-redundancy criteria	Physics	4	Active
US10546575B2	Using recurrent neural network for partitioning of audio data into segments that each correspond to a speech feature cluster identifier	Physics	4	Active
US10249292B2	Using long short-term memory recurrent neural network for speaker diarization segmentation	Physics	3	Active
US9483739B2	Transductive feature selection with maximum-relevancy and minimum-redundancy criteria	Physics	2	Active
US10108775B2	Feature selection for efficient epistasis modeling for phenotype prediction	Physics	2	Active
US10102333B2	Feature selection for efficient epistasis modeling for phenotype prediction	Physics	2	Active
US10902843B2	Using recurrent neural network for partitioning of audio data into segments that each correspond to a speech feature cluster identifier	Physics	0	Active
US11335433B2	Feature selection for efficient epistasis modeling for phenotype prediction	Physics	0	Active
US9152379B2	Efficient sorting of large dimensional data	Physics	0	Active
US11335434B2	Feature selection for efficient epistasis modeling for phenotype prediction	Physics	0	Active
US9075748B2	Lossless compression of the enumeration space of founder line crosses	Electricity	0	Active
US9020958B2	Efficient sorting of large dimensional data	Physics	0	Active
US12148419B2	Reducing exposure bias in machine learning training of sequence-to-sequence transducers	Physics	0	Active
US9041566B2	Lossless compression of the enumeration space of founder line crosses	Electricity	0	Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.