The source codes of ParsNet (doi:10.21979/N9/UU5EVH)

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Part 2: Study Description
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Document Description

Citation

Title:

The source codes of ParsNet

Identification Number:

doi:10.21979/N9/UU5EVH

Distributor:

DR-NTU (Data)

Date of Distribution:

2022-06-24

Version:

1

Bibliographic Citation:

Pratama, Mahardhika; Ashfahani, Andri; Hady, Mohamad Abdul, 2022, "The source codes of ParsNet", https://doi.org/10.21979/N9/UU5EVH, DR-NTU (Data), V1

Study Description

Citation

Title:

The source codes of ParsNet

Identification Number:

doi:10.21979/N9/UU5EVH

Authoring Entity:

Pratama, Mahardhika (Nanyang Technological University)

Ashfahani, Andri (Nanyang Technological University)

Hady, Mohamad Abdul (Nanyang Technological University)

Software used in Production:

Matlab

Grant Number:

Industry Alignment Fund Pre-Positioning Programme in AME domain [Award No.: A19C1a0018]

Distributor:

DR-NTU (Data)

Access Authority:

Pratama, Mahardhika

Depositor:

Soh, Eunice

Date of Deposit:

2022-05-12

Holdings Information:

https://doi.org/10.21979/N9/UU5EVH

Study Scope

Keywords:

Computer and Information Science, Computer and Information Science, delays, labeling, noise measurement, numerical models, probability density function, machine learning, data models

Abstract:

the source code of ParsNet "Weakly Supervised Deep Learning Approach in Streaming Environments"

Kind of Data:

code

Methodology and Processing

Sources Statement

Data Access

Notes:

Please refer to the LICENSE.md file in this dataset.

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1109/BigData47090.2019.9006285

Bibliographic Citation:

M. Pratama, A. Ashfahani and A. Hady, "Weakly Supervised Deep Learning Approach in Streaming Environments," in 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019 pp. 1195-1202.

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