1. Adam-Bourdarios, C., Cowan, G., Germain, C., Guyon, I., Kegl, B., Rousseau, D.: Learning to discover: the Higgs Boson machine learning challenge (2014). http://higgsml.lal.in2p3.fr/documentation
2. Atlas, L.E., Cohn, D., Ladner, R.: Training connectionist networks with queries and selective sampling. In: Touretzky, D. (ed.) Advances in Neural Information Processing Systems 2, pp. 566–573. Morgan-Kaufmann (1990)
3. Bacardit, J., Llorà, X.: Large-scale data mining using genetics-based machine learning. Wiley Interdisc. Rev. Data Min. Knowl. Discov. 3(1), 37–61 (2013)
4. Baldi, P., Sadowski, P., Whiteson, D.: Searching for exotic particles in high-energy physics with deep learning. Nat. Commun. 5, 1–9 (2014)
5. Baldi, P., Sadowski, P., Whiteson, D.: Enhanced Higgs Boson to $$\tau $$+ $$\tau $$- search with deep learning. Phys. Rev. Lett. 114(11), 111–801 (2015)