Iftitahu Ni'Mah, MSc

Doctoral Candidate, Mathematics and Computer Science, Data Mining

Emaili.nimah@tue.nl

Source: Scopus

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1 Citations
1 Paper
1 Article

Efficient and effective training of sparse recurrent neural networks
Liu, S., Ni'Mah, I., Menkovski, V., Mocanu, D. C. & Pechenizkiy, M., 26 Jan 2021, (E-pub ahead of print) In: Neural Computing and Applications. XX, XX
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
1 Citation (Scopus)
Looking deeper into deep learning model: attribution-based explanations of TextCNN
Xiong, W., Ni'mah, I., Huesca, J. M. G., van Ipenburg, W., Veldsink, J. & Pechenizkiy, M., 8 Nov 2018. 9 p.
Research output: Contribution to conference › Paper › Academic

Open Access
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Efficient and effective training of sparse recurrent neural networks

Looking deeper into deep learning model: attribution-based explanations of TextCNN