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Review Study of Interpretation Methods for Future Interpretable Machine Learning
IEEE Access, 2020 In recent years, black-box models have developed rapidly because of their high accuracy. Balancing the interpretability and accuracy is increasingly important.
Lifang Zhou, Jian-Xun Mi, An-Di Li
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An Empirical Comparison of Interpretable Models to Post-Hoc Explanations
AI, 2023 Recently, some effort went into explaining intransparent and black-box models, such as deep neural networks or random forests. So-called model-agnostic methods typically approximate the prediction of the intransparent black-box model with an ...
Johannes Fürnkranz, Parisa Mahya
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Interpretable predictive maintenance for hard drives
Machine Learning with Applications, 2021 Existing machine learning approaches for data-driven predictive maintenance are usually black boxes that claim high predictive power yet cannot be understood by humans.
Maxime Amram +3 more
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IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet
Sensors, 2021 Decrease in crop yield and degradation in product quality due to plant diseases such as rust and blast in pearl millet is the cause of concern for farmers and the agriculture industry. The stipulation of expert advice for disease identification is also a
Nidhi Kundu +7 more
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Diagnostics, 2022 Heart disease is one of the leading causes of mortality throughout the world. Among the different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non-invasive procedure. However, the following are challenges: the scarcity of
Yehualashet Megersa Ayano +3 more
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mSystems, 2022 Longitudinal microbiome data sets are being generated with increasing regularity, and there is broad recognition that these studies are critical for unlocking the mechanisms through which the microbiome impacts human health and disease. However, there is
Venkata Suhas Maringanti +2 more
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Information, 2020 This manuscript outlines a viable approach for training and evaluating machine learning systems for high-stakes, human-centered, or regulated applications using common Python programming tools.
Navdeep Gill +3 more
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Applied Sciences, 2022 Annealing and galvanization production lines in steel mills run continuously to maximize production throughput. As a part of this process, individual steel coils are joined end-to-end using mash seam welding.
Dieter De Paepe +3 more
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Sensors, 2021 The paper proposes a new method for deep learning and knowledge discovery in a brain-inspired Spiking Neural Networks (SNN) architecture that enhances the model’s explainability while learning from streaming spatiotemporal brain data (STBD) in an ...
Maryam Doborjeh +4 more
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Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data
Sensors, 2023 Fault diagnosis is essential for high energy systems such as liquid rocket engines (LREs) due to harsh thermal and mechanical working environment.
Xiaoguang Zhang +3 more
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