activity
20102015
most citedObservation of Electron Neutrino Appearance in a Muon Neutrino Beam

521 citations · 2k across the 30 of their papers we have counts for

collaborators
Showing 2014Show all

10 papers · 1 filter

hep-ex2014★ 54 cited

Measurement of the CCQE cross section on carbon with the ND280 detector at T2K

T2K Collaboration, K. Abe, J. Adam +342

The Charged-Current Quasi-Elastic (CCQE) interaction, , is the dominant CC process at GeV and contributes to the signal in accelerator-…

physics.ins-det2014★ 34 cited

Experimental observation of an extremely high electron lifetime with the ICARUS-T600 LAr-TPC

M. Antonello, B. Baibussinov, P. Benetti +54

The ICARUS T600 detector, the largest liquid Argon Time Projection Chamber (LAr-TPC) realized after many years of RD activities, was installed and successfully operated for 3 years…

hep-ex2014★ 62 cited

Measurement of the Inclusive Electron Neutrino Charged Current Cross Section on Carbon with the T2K Near Detector

K. Abe, J. Adam, H. Aihara +318

The T2K off-axis near detector, ND280, is used to make the first differential cross-section measurements of electron neutrino charged current interactions at energies ~1 GeV as a f…

cs.LG2014★ 7 cited

Improving Performance of Self-Organising Maps with Distance Metric Learning Method

Piotr Płoński, Krzysztof Zaremba

Self-Organising Maps (SOM) are Artificial Neural Networks used in Pattern Recognition tasks. Their major advantage over other architectures is human readability of a model. However…

hep-ex2014★ 49 cited

Measurement of the inclusive charged current cross section on iron and hydrocarbon in the T2K on-axis neutrino beam

The T2K Collaboration, K. Abe, J. Adam +325

We report a measurement of the inclusive charged current cross sections on iron and hydrocarbon in the T2K on-axis neutrino beam. The measured inclusive charged current cross…

cs.LG2014★ 14 cited

Visualizing Random Forest with Self-Organising Map

Piotr Płoński, Krzysztof Zaremba

Random Forest (RF) is a powerful ensemble method for classification and regression tasks. It consists of decision trees set. Although, a single tree is well interpretable for human…