From 68ac42b3cd07accecd11d3ac8305abddf89d4a05 Mon Sep 17 00:00:00 2001 From: Matthew Feickert Date: Fri, 5 Feb 2021 00:57:08 -0600 Subject: [PATCH] fix: Quote title and eprint BibTex fields in .bib file (#50) * Apply quotes around BibTeX 'title' and 'eprint' BibTeX fields to allow for proper parsing - Temporary fix - c.f. https://github.com/iml-wg/HEPML-LivingReview/issues/49 --- HEPML.bib | 17 +++++++++-------- README.md | 12 ++++++------ 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/HEPML.bib b/HEPML.bib index bd90d02..92b4534 100644 --- a/HEPML.bib +++ b/HEPML.bib @@ -2,39 +2,40 @@ % January 28, 2021 @misc{gonzalez2021tackling, - title={Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning}, + title="{Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning}", author={B. S. Gonz\'{a}lez and R. Concei\c{c}\~{a}o and M. Pimenta and B. Tom\'{e} and A. Guill\'{e}n}, year={2021}, - eprint={2101.11924}, + eprint="{2101.11924}", archivePrefix={arXiv}, primaryClass={physics.ins-det} } + @misc{goto2021development, - title={Development of a Vertex Finding Algorithm using Recurrent Neural Network}, + title="{Development of a Vertex Finding Algorithm using Recurrent Neural Network}", author={Kiichi Goto and Taikan Suehara and Tamaki Yoshioka and Masakazu Kurata and Hajime Nagahara and Yuta Nakashima and Noriko Takemura and Masako Iwasaki}, year={2021}, - eprint={2101.11906}, + eprint="{2101.11906}", archivePrefix={arXiv}, primaryClass={physics.data-an} } % January 27, 2021 @misc{abbasi2021convolutional, - title={A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory}, + title="{A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory}", author={R. Abbasi and others}, collaboration="IceCube", year={2021}, - eprint={2101.11589}, + eprint="{2101.11589}", archivePrefix={arXiv}, primaryClass={hep-ex} } % January 25, 2021 @misc{huang2021convolutionalneuralnetwork, - title={A convolutional-neural-network estimator of CMB constraints on dark matter energy injection}, + title="{A convolutional-neural-network estimator of CMB constraints on dark matter energy injection}", author={Wei-Chih Huang and Jui-Lin Kuo and Yue-Lin Sming Tsai}, year={2021}, - eprint={2101.10360}, + eprint="{2101.10360}", archivePrefix={arXiv}, primaryClass={astro-ph.CO} } diff --git a/README.md b/README.md index 59a265c..308af30 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,7 @@ The purpose of this note is to collect references for modern machine learning as * [Jet Flavor Classification in High-Energy Physics with Deep Neural Networks](https://arxiv.org/abs/1607.08633) [[DOI](https://doi.org/10.1103/PhysRevD.94.112002)] * [Topology classification with deep learning to improve real-time event selection at the LHC](https://arxiv.org/abs/1807.00083) [[DOI](https://doi.org/10.1007/s41781-019-0028-1)] * [Jet Flavour Classification Using DeepJet](https://arxiv.org/abs/2008.10519) - * [{Development of a Vertex Finding Algorithm using Recurrent Neural Network ](https://arxiv.org/abs/{2101.11906) + * [Development of a Vertex Finding Algorithm using Recurrent Neural Network](https://arxiv.org/abs/2101.11906) * Trees @@ -235,7 +235,7 @@ The purpose of this note is to collect references for modern machine learning as * [Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE](https://arxiv.org/abs/2012.08513) * [Quantum Convolutional Neural Networks for High Energy Physics Data Analysis](https://arxiv.org/abs/2012.12177) * [Vertex and Energy Reconstruction in JUNO with Machine Learning Methods](https://arxiv.org/abs/2101.04839) - * [{A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory ](https://arxiv.org/abs/{2101.11589) + * [A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory](https://arxiv.org/abs/2101.11589) * Direct Dark Matter Detectors @@ -251,9 +251,9 @@ The purpose of this note is to collect references for modern machine learning as * [Particle Track Reconstruction using Geometric Deep Learning](https://arxiv.org/abs/2012.08515) * [Deep-Learning based Reconstruction of the Shower Maximum $X_{\mathrm{max}}$ using the Water-Cherenkov Detectors of the Pierre Auger Observatory](https://arxiv.org/abs/2101.02946) * [A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications](https://arxiv.org/abs/2101.04525) - * [{Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning ](https://arxiv.org/abs/{2101.11924) + * [Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning](https://arxiv.org/abs/2101.11924) * [Muon identification in a compact single-layered water Cherenkov detector and gamma/hadron discrimination using Machine Learning techniques](https://arxiv.org/abs/2101.10109) - * [{A convolutional-neural-network estimator of CMB constraints on dark matter energy injection ](https://arxiv.org/abs/{2101.10360) + * [A convolutional-neural-network estimator of CMB constraints on dark matter energy injection](https://arxiv.org/abs/2101.10360) * Tracking @@ -267,7 +267,7 @@ The purpose of this note is to collect references for modern machine learning as * [First application of machine learning algorithms to the position reconstruction in Resistive Silicon Detectors](https://arxiv.org/abs/2011.02410) * [Beyond 4D Tracking: Using Cluster Shapes for Track Seeding](https://arxiv.org/abs/2012.04533) * [Hashing and metric learning for charged particle tracking](https://arxiv.org/abs/2101.06428) - * [{Development of a Vertex Finding Algorithm using Recurrent Neural Network ](https://arxiv.org/abs/{2101.11906) + * [Development of a Vertex Finding Algorithm using Recurrent Neural Network](https://arxiv.org/abs/2101.11906) * Heavy ions @@ -328,7 +328,7 @@ The purpose of this note is to collect references for modern machine learning as * Attention - * [{Development of a Vertex Finding Algorithm using Recurrent Neural Network ](https://arxiv.org/abs/{2101.11906) + * [Development of a Vertex Finding Algorithm using Recurrent Neural Network](https://arxiv.org/abs/2101.11906) * Software