Special Issue on ‘Babel Fish’ for Feature-driven Machine Learning: From Financial Services to Healthcare

ISSN: 0941-0643 (Print) 1433-3058 (Online)

In this topical collection (8 articles)

  1. Editorial

    Innovative feature-driven machine learning and deep learning for finance, education, and healthcare

    Luca Parisi, Marianne Lyne Manaog Pages 11477-11480
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  2. S.I. : ‘Babel Fish’ for Feature-driven Machine Learning to Maximise Societal Value

    E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education

    Malak Abdullah, Mahmoud Al-Ayyoub, Saif AlRawashdeh… Pages 11481-11495
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  3. S.I. : ‘Babel Fish’ for Feature-driven Machine Learning to Maximise Societal Value

    A neural network approach to optimising treatments for depression using data from specialist and community psychiatric services in Australia, New Zealand and Japan

    Aidan Cousins, Lucas Nakano, Emma Schofield… Pages 11497-11516
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    S.I.: ‘Babel Fish’ for Feature-driven Machine Learning to Maximise Societal Value

    A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction

    Chenxi Huang, Junsheng Zhou, Jinling Chen, Jane Yang… Pages 11517-11529

  5. S.I. : ‘Babel Fish’ for Feature-driven Machine Learning to Maximise Societal Value

    A novel bio-inspired hybrid multi-filter wrapper gene selection method with ensemble classifier for microarray data

    Babak Nouri-Moghaddam, Mehdi Ghazanfari… Pages 11531-11561
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    S.I. : ‘Babel Fish’ for Feature-driven Machine Learning to Maximise Societal Value

    tofee-tree: automatic feature engineering framework for modeling trend-cycle in time series forecasting

    Santhosh Kumar Selvam, Chandrasekharan Rajendran Pages 11563-11582

  7. No Access

    S.I. : Babel Fish for Feature-driven Machine Learning to Maximise Societal Value

    Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network

    Hongyu Wang, Dandan Zhang, Songtao Ding, Zhanyi Gao… Pages 11583-11597

  8. No Access

    S.I. : ‘Babel Fish’ for Feature-driven Machine Learning to Maximise Societal Value

    A new deep belief network-based multi-task learning for diagnosis of Alzheimer’s disease

    Nianyin Zeng, Han Li, Yonghong Peng Pages 11599-11610