Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GraSSNet: Graph Soft Sensing Neural Networks   In the era of big data, data-driven based classification has become an
essential method in smart manufacturing to guide production and optimize
inspection. The industrial data obtained in practice is usually time-series
data collected by soft sensors, which are highly nonlinear, nonstationary,
imbalanced, and noisy. Most existing soft-sensing machine learning models focus
on capturing either intra-series temporal dependencies or pre-defined
inter-series correlations, while ignoring the correlation between labels as
each instance is associated with multiple labels simultaneously. In this paper,
we propose a novel graph based soft-sensing neural network (GraSSNet) for
multivariate time-series classification of noisy and highly-imbalanced
soft-sensing data. The proposed GraSSNet is able to 1) capture the inter-series
and intra-series dependencies jointly in the spectral domain; 2) exploit the
label correlations by superimposing label graph that built from statistical
co-occurrence information; 3) learn features with attention mechanism from both
textual and numerical domain; and 4) leverage unlabeled data and mitigate data
imbalance by semi-supervised learning. Comparative studies with other commonly
used classifiers are carried out on Seagate soft sensing data, and the
experimental results validate the competitive performance of our proposed
method.

8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th