The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Neural Networks and Deep Learning
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Citations
Cites
A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems
Noé, F., & Nüske, F. (2013) · Multiscale Modeling & Simulation · doi:10.1137/110858616 · Cited by 327
Cited by
An Overview of Overfitting and its Solutions
Ying, X. (2019) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/1168/2/022022 · Cited by 2,352
Training deep quantum neural networks
Beer, K., Bondarenko, D., Farrelly, T., Osborne, T. J., Salzmann, R., Scheiermann, D., & Wolf, R. (2020) · Nature Communications · doi:10.1038/s41467-020-14454-2 · Cited by 726
Non-intrusive reduced order modeling of nonlinear problems using neural networks
Hesthaven, J. S., & Ubbiali, S. (2018) · Journal of Computational Physics · doi:10.1016/j.jcp.2018.02.037 · Cited by 616
Predicting academic performance of students from VLE big data using deep learning models
Waheed, H., Hassan, S.-U., Aljohani, N. R., Hardman, J., Alelyani, S., & Nawaz, R. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106189 · Cited by 573
Data-driven performance analyses of wastewater treatment plants: A review
Newhart, K. B., Holloway, R. W., Hering, A. S., & Cath, T. Y. (2019) · Water Research · doi:10.1016/j.watres.2019.03.030 · Cited by 485
Metadata
- Venue
- Computer Age Statistical Inference
- Publisher
- Cambridge University Press
- Published
- 2016-07-05
- Pages
- 351-374
- OpenAlex
- W2480295938
- Cited by
- 509
- References
- 1
- FWCI
- 79.11
- Type
- book chapter
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Neural Networks and Deep Learning. https://app.cochat.ai/papers/10.1017/cbo9781316576533.019
- The paper
- Neural Networks and Deep Learning. (2016). Computer Age Statistical Inference. https://doi.org/10.1017/cbo9781316576533.019
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
