Iftitahu Ni'mah

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Deep Architectures

Mutual Information Maximization

Production Planning And Scheduling

Top Venues

Neural Comput. Appl.

Publications

Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. ACL (1) (2023)
Iftitahu Ni'mah, Samaneh Khoshrou, Vlado Menkovski, Mykola Pechenizkiy
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering. CoRR (2023)
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. CoRR (2023)
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. EMNLP (Findings) (2021)
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. CoRR (2021)
Shiwei Liu, Iftitahu Ni'mah, Vlado Menkovski, Decebal Constantin Mocanu, Mykola Pechenizkiy
Efficient and effective training of sparse recurrent neural networks. Neural Comput. Appl. 33 (15) (2021)
Iftitahu Ni'mah, Vlado Menkovski, Mykola Pechenizkiy
BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation. CoRR (2019)
Wenting Xiong, Iftitahu Ni'mah, Juan M. G. Huesca, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy
Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN. CoRR (2018)
Iftitahu Ni'mah, Rifki Sadikin
Deep architectures for super-symmetric particle classification with noise labelling. IC3INA (2016)