Deep architectures for super-symmetric particle classification with noise labelling. - Iftitahu Ni'mah; Rifki Sadikin (IC3INA, 2016)

Automatic region-of-interest selection for corn seed grading. - Esa Prakasa; Didi Rosiyadi; Driszal Fryantoni; Iftitahu Ni'mah; Arwan Ahmad Khoiruddin; Nova Hadi Lestriandoko; Nana Suryana; Nur Fajrina (IC3INA, 2017)

Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN. - Wenting Xiong; Iftitahu Ni'mah; Juan M. G. Huesca; Werner van Ipenburg; Jan Veldsink; Mykola Pechenizkiy (CoRR, 2018)

BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation. - Iftitahu Ni'mah; Vlado Menkovski; Mykola Pechenizkiy (CoRR, 2019)

ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. - Iftitahu Ni'mah; Meng Fang; Vlado Menkovski; Mykola Pechenizkiy (EMNLP (Findings), 2021)

Efficient and effective training of sparse recurrent neural networks. - Shiwei Liu 003; Iftitahu Ni'mah; Vlado Menkovski; Decebal Constantin Mocanu; Mykola Pechenizkiy (Neural Comput. Appl., 2021)

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. - Iftitahu Ni'mah; Meng Fang; Vlado Menkovski; Mykola Pechenizkiy (ACL (1), 2023)

KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering. - Iftitahu Ni'mah; Samaneh Khoshrou; Vlado Menkovski; Mykola Pechenizkiy (CoRR, 2023)

Can BERT Learn Evidence-Aware Representation for Low Resource Fake News Detection? - Rini Wijayanti; Iftitahu Ni'mah (IC3INA, 2024)