Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST

Autor: Youssef, Khalid, Schuette, Greg, Cai, Yubin, Zhang, Daisong, Huang, Yikun, Rahmat-Samii, Yahya, Bouchard, Louis-S.

Unlike areas such as computer vision and speech recognition where convolutional and recurrent neural networks-based approaches have proven effective to the nature of the respective areas of application, deep learning (DL) still lacks a general approa

Externí odkaz: http://arxiv.org/abs/2104.12103

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Generative AI efficiently enriches scHi-C datasets at high resolution

Autor: Schuette, Greg, Zhang, Bin

Publikováno v: In Biophysical Journal 8 February 2024 123(3) Supplement 1:326a-326a

MAILBOX.

Autor: MINTUN, MARK, KELLY, KEVIN, SCHUETTE, GREG, FRANTZ, MIKE, BARNHART, JACOB, COMSA, DANNY

Publikováno v: Sport Rider; Sep2011, Vol. 19 Issue 8, p16-18, 2p

Efficient Hi-C inversion facilitates chromatin folding mechanism discovery and structure prediction.

Autor: Schuette G; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Ding X; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Zhang B; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2023 Jul 21. Date of Electronic Publication: 2023 Jul 21.