Ashraf, Waqar Muhammad;
Dua, Vivek;
(2024)
Data information integrated neural network (DINN) algorithm: interpretable machine learning by incorporating correlation information in the model architecture.
Presented at: ChemEngDayUK24, London, UK.
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| Type: | Poster |
|---|---|
| Title: | Data information integrated neural network (DINN) algorithm: interpretable machine learning by incorporating correlation information in the model architecture |
| Event: | ChemEngDayUK24 |
| Location: | London, UK |
| Dates: | 25 - 26 April 2024 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.imperial.ac.uk/chemical-engineering/ne... |
| Language: | English |
| Keywords: | Interpretable ML, Data Centric Computing, Neural Networks |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10191470 |
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