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. #49
iml-wg · Feb 5, 2021 · 68ac42b · 68ac42b
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diff --git 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
@@ -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