www.cs.cmu.edu

Liu Yang

Buy-in-Bulk Active Learning. Liu Yang and Jaime Carbonell. Advances in Neural Information Processing Systems 26 (NIPS), 2013. Liu Yang, Avrim Blum and Jaime Carbonell. Learnability of DNF with ...
GitHub

Determining Chess Game State From an Image

Journal of Imaging, vol. 7, no. 6, p. 94, June 2021. I originally developed this project as part of my master thesis at the University of St Andrews. Documentation is available here. A casual over-the ...
IEEE

End-to-End Learning for Radar Electronic Support: Multilabel Classification and Explainable AI

Abstract: The detection and classification of radar emitters from the electromagnetic spectrum is an essential task for electronic support. This article introduces an innovative method that directly ...
IEEE

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models

Abstract: Pregnancy complications significantly impact women and pose potential threats to the developing child’s health. Early identification of these complications is imperative for life-saving ...
archive

Real writing with readings : paragraphs and essays for college, work, and everyday life

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...
The Lancet

Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of ...

aDepartment of Pathology, Leiden University Medical Center, Leiden, Netherlands bDepartment of Vascular and Molecular Imaging, Leiden University Medical Center, Leiden, Netherlands cDepartment of ...
Frontiers

Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks

Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have attracted research interest for their modeling capacity of biological ...