%%% General Books and Citations

%Thomson book
@book{thomson2013modern,
  title={Modern particle physics},
  author={Thomson, Mark},
  year={2013},
  publisher={Cambridge University Press}
}

%Neutrino mixing angle measruements KamLAND
@article{abe2008precision,
  title={Precision measurement of neutrino oscillation parameters with KamLAND},
  author={Abe, S and Ebihara, T and Enomoto, S and Furuno, K and Gando, Y and Ichimura, K and Ikeda, H and Inoue, K and Kibe, Y and Kishimoto, Y and others},
  journal={Physical Review Letters},
  volume={100},
  number={22},
  pages={221803},
  year={2008},
  publisher={APS}
}

%Neutrino mixing angle measruements MINOS
@article{adamson2011measurement,
  title={Measurement of the neutrino mass splitting and flavor mixing by MINOS},
  author={Adamson, P and Andreopoulos, C and Armstrong, R and Auty, DJ and Ayres, DS and Backhouse, C and Barr, G and Bishai, M and Blake, A and Bock, GJ and others},
  journal={Physical Review Letters},
  volume={106},
  number={18},
  pages={181801},
  year={2011},
  publisher={APS}
}

%mu to eee paper
@article{blondel2013research,
  title={Research Proposal for an Experiment to Search for the Decay $\mu \rightarrow eee$},
  author={Blondel, A and Bravar, A and Pohl, M and Bachmann, S and Berger, N and Kiehn, M and Sch{\"o}ning, A and Wiedner, D and Windelband, B and Eckert, P and others},
  journal={arXiv preprint arXiv:1301.6113},
  year={2013}
}

%GRU
@article{chung2014empirical,
  title={Empirical evaluation of gated recurrent neural networks on sequence modeling},
  author={Chung, Junyoung and Gulcehre, Caglar and Cho, KyungHyun and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1412.3555},
  year={2014}
}

%LSTM
@article{gers1999learning,
  title={Learning to forget: Continual prediction with LSTM},
  author={Gers, Felix A and Schmidhuber, J{\"u}rgen and Cummins, Fred},
  year={1999},
  publisher={IET}
}

%ROC curve
@article{ML:ROC_AUC:Bradley:1997:UAU:1746432.1746434,
 author = {Bradley, Andrew P.},
 title = {The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms},
 journal = {Pattern Recogn.},
 issue_date = {July, 1997},
 volume = {30},
 number = {7},
 month = jul,
 year = {1997},
 issn = {0031-3203},
 pages = {1145--1159},
 numpages = {15},
 url = {http://dx.doi.org/10.1016/S0031-3203(96)00142-2},
 doi = {10.1016/S0031-3203(96)00142-2},
 acmid = {1746434},
 publisher = {Elsevier Science Inc.},
 address = {New York, NY, USA},
 keywords = {Accuracy measures, Cross-validation, Standard error, The ROC curve, The area under the ROC curve (AUC), Wilcoxon statistic},
}

%XGBoost
@article{ML:XGBoost,
  author    = {Tianqi Chen and
               Carlos Guestrin},
  title     = {XGBoost: {A} Scalable Tree Boosting System},
  journal   = {CoRR},
  volume    = {abs/1603.02754},
  year      = {2016},
  url       = {http://arxiv.org/abs/1603.02754},
  timestamp = {Sat, 02 Apr 2016 11:49:48 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/ChenG16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

%Selu and other activation functions
@inproceedings{klambauer2017self,
  title={Self-normalizing neural networks},
  author={Klambauer, G{\"u}nter and Unterthiner, Thomas and Mayr, Andreas and Hochreiter, Sepp},
  booktitle={Advances in Neural Information Processing Systems},
  pages={971--980},
  year={2017}
}