Knowledge‐based radiation treatment planning: a data‐driven method survey
This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …
based planning (KBP) in the last decade. These methods were classified into two major …
A survey on data collection for machine learning: a big data-ai integration perspective
Data collection is a major bottleneck in machine learning and an active research topic in
multiple communities. There are largely two reasons data collection has recently become a …
multiple communities. There are largely two reasons data collection has recently become a …
Data market platforms: Trading data assets to solve data problems
RC Fernandez, P Subramaniam… - ar**s from virtual to physical addresses.
When the hardware controlled Translation Lookaside Buffers (TLBs) do not contain a …
When the hardware controlled Translation Lookaside Buffers (TLBs) do not contain a …
Mistique: A system to store and query model intermediates for model diagnosis
Model diagnosis is the process of analyzing machine learning (ML) model performance to
identify where the model works well and where it doesn't. It is a key part of the modeling …
identify where the model works well and where it doesn't. It is a key part of the modeling …
A repository for the publication and sharing of heterogeneous materials data
Abstract National Materials Data Management and Service platform (NMDMS) is a materials
data repository for the publication and sharing of heterogeneous materials scientific data …
data repository for the publication and sharing of heterogeneous materials scientific data …