我正在使用 bibliographystyle{unsrt}
但尽管使用了关键字段，也无法将 @misc 类别放在预期位置。它们会自动从顶部放置。有人能帮我解决这个问题吗？
以下是代码。
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ch3 bib 文件如下所示。
@ARTICLE{Huarng2006,
author = {K. Huarng and TH-K Yu},
title = {The application of neural networks to forecast fuzzy time series},
journal = {Physica A: Stat Mech Appl},
year = {2006},
volume = {363},
pages = {481--491}
}
@INPROCEEDINGS{Mitrpanont2002,
author = {J. L. Mitrpanont and A. Srisuphab},
title = {The realization of quantum complex-valued backpropagation neural network in pattern recognition problem},
booktitle = {Proceedings of 9th International Conference on Neural Information Processing (ICONIP'02)},
volume = {1},
year = {2002},
pages = {462--466}
}
@ARTICLE{Killoran2019,
author = {N. Killoran et al.},
title = {Continuous-variable quantum neural networks},
journal = {Phys Rev Res},
year = {2019},
volume = {1}
}
@MISC{Bergholm2020,
title={PennyLane: Automatic differentiation of hybrid quantum-classical computations},
author={V. Bergholm et al.},
year={2020},
eprint={1811.04968},
archivePrefix={arXiv},
primaryClass={quant-ph}
}
@ARTICLE{Killoran2019a,
author = {N. Killoran},
title = {Strawberry fields: a software platform for photonic quantum computing},
journal = {Quantum},
year = {2019},
volume = {3},
pages = {129}
}
@ARTICLE{Liu2020,
author = {Y. Liu et al.},
title = {Variational quantum circuits for quantum state tomography},
journal = {Phys Rev A},
year = {2020},
volume = {101}
}
@INPROCEEDINGS{Kairon2020,
author = {P. Kairon and S. Bhattacharyya},
title = {COVID-19 Outbreak Prediction using Quantum Neural Networks},
booktitle = {Intelligence Enabled Research: DoSIER 2020},
publisher = {Springer},
volume = {1279},
year = {2020},
pages = {124--134}
}
@ARTICLE{Ardila2019,
author = {D. Ardila et al.},
title = {End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography},
journal = {Nature Medicine},
volume = {25},
year = {2019},
pages = {954--961}
}
@ARTICLE{Coudray2018,
author = {N. Coudray et al.},
title = {Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning},
journal = {Nature Medicine},
volume = {24},
year = {2018},
pages = {1559--1567}
}
@ARTICLE{Liao2019,
author = {F. Liao and M. Liang and Z. Li and X. Hu and S. Song},
title = {Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network},
journal = {IEEE Transactions on Neural Network and Learning Systems},
volume = {30},
number = {11},
year = {2019},
pages = {3484--3495}
}
@ARTICLE{Zhu2020,
author = {H. Zhu et al.},
title = {MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection},
journal = {IEEE Journal of Biomedial and Health Informatics},
volume = {24},
number = {6},
year = {2020},
pages = {1652--1663}
}
@INPROCEEDINGS{He2016,
author = {K. He and X. Zhang and S. Ren and J. Sun},
title = {Deep Residual Learning for Image Recognition},
booktitle = {Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2016}
}
@MISC{Ma2020,
author = {J. Ma et al.},
title = {Towards Efficient {COVID-19} {CT} Annotation: A Benchmark for Lung and Infection Segmentation},
howpublished = {arXiv:2004.12537},
year = {2020},
}
@ARTICLE{Li2020,
author = {H. Zhu et al.},
title = {Using Artificial Intelligence to Detect {COVID-19} and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy},
journal = {Radiology},
volume = {296},
number = {2},
year = {2020},
pages = {66--72}
}
@ARTICLE{Singh2020,
author = {D. Singh and V. Kumar and Vaishali and M. Kaur},
title = {Classification of {COVID-19} patients from chest CT images using multi-objective differential evolution–based convolutional neural networks},
journal = {Eur. J. Clin. Microbiol. Infect. Dis.},
year = {2020},
pages = {1--11}
}
@ARTICLE{Roy2020,
author = {S. Roy et al.},
title = {Deep learning for classification and localization of {COVID-19} markers in point-of-care lung ultrasound},
journal = {IEEE Transactions on Medical Imaging},
volume = {39},
number = {8},
year = {2020},
pages = {2676--2687}
}
@MISC{Wang2020z,
author = {S. Wang et al.},
title = {A deep learning algorithm using CT images to screen for coronavirus Disease ({COVID-19})},
howpublished = {https://doi.org/10.1101/2020.02.14.20023028},
year = {2020}
}
@ARTICLE{Kang2020,
author = {H. Kang et al.},
title = {Diagnosis of Coronavirus Disease 2019 ({COVID-19}) with Structured Latent Multi-View Representation Learning},
journal = {IEEE Transactions on Medical Imaging},
volume = {38},
number = {8},
year = {2020},
pages = {2676--2687}
}
@ARTICLE{Zheng2020,
author = {X. Zheng et al.},
title = {A Weakly-Supervised Framework for {COVID-19} Classification and Lesion Localization From Chest CT},
journal = {IEEE Transactions on Medical Imaging},
volume = {39},
number = {8},
year = {2020},
pages = {2615--2625}
}
@MISC{Yan2020,
author = {Q. Yan et al.},
title = {{COVID-19} Chest CT Image Segmentation–A Deep Convolutional Neural Network Solution},
year = {2020},
url = {https://arxiv.org/abs/2004.10987}
}
@ARTICLE{Wang22020,
author = {J. Wang et al.},
title = {Prior-Attention Residual Learning for More Discriminative {COVID-19} Screening in {CT} Images},
journal = {IEEE Transactions on Medical Imaging},
volume = {39},
number = {8},
year = {2020},
pages = {2572--2583}
}
@ARTICLE{Han2020,
author = {Z. Han et al.},
title = {Accurate Screening of {COVID-19} Using Attention-Based Deep 3D Multiple Instance Learning},
journal = {IEEE Transactions on Medical Imaging},
volume = {39},
number = {8},
year = {2020},
pages = {2584--2594}
}
@ARTICLE{Konar2020,
author = {D. Konar and S. Bhattacharyya and T. K. Gandhi and B. K. Panigrahi},
title = {A Quantum-Inspired Self-Supervised Network Model for Automatic Segmentation of Brain {MR} Images},
journal = {Applied Soft Computing},
volume = {93},
year = {2020},
pages = {1--21}
}
@INPROCEEDINGS{Konar12019,
author = {D. Konar and S. Bhattacharyya and B. K. Panigrahi},
title = {QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain {MR} Image Segmentation},
booktitle = {Proceedings of 8th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2019)},
volume = {11942},
pages = {87--95},
year = {2019}
}
@INPROCEEDINGS{Konar22019,
author = {D. Konar and S. Bhattacharyya and S. Dey and B. K. Panigrahi},
title = {Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain {MR} Image Segmentation},
booktitle = {Proceedings of TENCON 2019},
pages = {761--766},
year = {2019}
}
@ARTICLE{Bhatt2007,
author = {S. Bhattacharyya and P. Dutta and U. Maulik},
title = {Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding},
journal = {Pattern Analysis and Applications},
volume = {10},
year = {2007},
pages = {345--360}
}
@ARTICLE{Bhatt12011,
author = {S. Bhattacharyya and P. Dutta and U. Maulik},
title = {Multilevel image segmentation with adaptive image context based thresholding},
journal = {Applied Soft Computing},
volume = {11},
number = {1},
year = {2011},
pages = {946--962}
}
@INPROCEEDINGS{Konar32016,
author = {D. Konar and S. Bhattacharya and U. Chakraborty and T. K. Gandhi and B. K. Panigrahi},
title = {A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background},
booktitle = {Proceedings of IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI)},
pages = {1912--1918},
year = {2016}
}
@ARTICLE{Konar42016,
author = {D. Konar and S. Bhattacharya and B K. Panigrahi and K. Nakamatsu},
title = {A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) Architecture for Binary Object Extraction from a Noisy Perspective},
journal = {Applied Soft Computing},
volume = {46},
year = {2016},
pages = {731--752}
}
@ARTICLE{Dey2014z,
author = {S. Dey and I. Saha and S. Bhattacharyya and U. Maulik},
title = {Multi-level Thresholding using Quantum Inspired Meta-heuristics},
journal = {Knowledge Based Systems},
volume = {67},
year = {2014},
pages = {373--400}
}
@INPROCEEDINGS{Hou2016,
author = {L. Hou et al.},
title = {Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification},
booktitle = {Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {2424--2433},
year = {2016}
}
@ARTICLE{Sharma2017,
author = {A. Sharmaa and X. Liua and X. Yangb and D. Shic},
title = {A Patch-based Convolutional Neural Network for Remote Sensing Image Classification},
journal = {Neural Networks},
volume = {95},
year = {2017},
pages = {19--28}
}
@INPROCEEDINGS{Kervrann2006,
author = {C. Kervrann and J. Boulanger},
title = {Unsupervised Patch-Based Image Regularization and Representation},
booktitle = {Proceedings of 2006 European Conference on Computer Vision (ECCV)},
volume = {3984},
pages = {555--567},
year = {2006}
}
@ARTICLE{Oh2020,
author = {Y. Oh and S. Park and J. C. Ye},
title = {Deep Learning COVID-19 Features on CXR using Limited Training Data Sets},
journal = {IEEE Transactions on Medical Imaging},
volume = {39},
number = {8},
year = {2020},
pages = {2688--2700}
}
@MISC{Soares2020,
author = {E. Soares and P. Angelov and S. Biaso and M. H. Froes and D. K. Abe},
title = {SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification},
howpublished = {https://doi.org/10.1101/2020.04.24.20078584},
year = {2020}
}
@MISC{Jun2020,
author = {M. Jun et al.},
title = {COVID-19 CT Lung and Infection Segmentation Dataset (Version 1.0) [Data set]},
howpublished = {Zenodo.http://doi.org/10.5281/zenodo.3757476},
year = {2020}
}
@ARTICLE{Yan2020z,
key = {ZZ6},
author = {T. Yan},
title = {{CCAP}},
journal = {IEEE Dataport, 2020},
year = {2020},
url = {http://dx.doi.org/10.21227/ccgv-5329}
}
@ARTICLE{Guerrero2018,
author = {R. Guerrero et al.},
title = {White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks},
journal = {NeuroImage: Clinical},
volume = {17},
number = {8},
year = {2018},
pages = {918--934}
}
@ARTICLE{Fernando2020,
author = {T. Fernando et al.},
title = {Heart Sound Segmentation Using Bidirectional LSTMs With Attention},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {24},
number = {6},
year = {2020},
pages = {1601--1609}
}
@ARTICLE{Gail1976,
author = {M. H. Gail and S. B. Green},
title = {Critical Values for the One-Sided Two-Sample Kolmogorov–Smirnov Statistic},
journal = {J. Am. Stat. Assoc.},
volume = {71},
year = {1976},
pages = {757--760}
}
@ARTICLE{Little2007,
author = {M. A. Little et al.},
title = {Exploiting Nonlinear recurrence and Fractal scaling properties for voice disorder detection},
journal = {Biomedical Engineering},
year = {2007},
volume = {6},
}
@ARTICLE{Sahni2020,
author = {S. Sahni and V. Aggarwal and A. Khanna and D. Gupta and S. Bhattacharyya},
title = {Quantum-inspired evolutionary algorithms for neural network weight distribution: A classification model for Parkinson's disease},
journal = {Journal of Information and Organizational Sciences},
year = {2020},
volume = {44},
number = {2},
pages = {345--363}
}
所有这些@MISC 条目都被放置在所有其他参考文献的顶部。
答案1
使用ch3.bib问题中提供的和此测试文件
\documentclass{article}
\begin{document}
article Killoran2019a \cite{Killoran2019a}
article Huarng2006 \cite{Huarng2006}
misc Bergholm2020 \cite{Bergholm2020}
\bibliographystyle{unsrt}
\bibliography{ch3}
\end{document}
你得到这个输出
如您所见，这些项目按引用顺序列出，并且项目类型@ARTICLE不会@MISC以任何方式影响编号。
如果您看到的项目顺序不同，那么这是由于未显示代码造成的，您可以编辑问题来举例说明。