output
19922026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2019Show all

322 papers · 1 filter

hep-lat2019★ 1 cited

-meson semileptonic form factors on (2+1+1)-flavor HISQ ensembles

Z. Gelzer, C. DeTar, A. X. El-Khadra +8

We report updates to an ongoing lattice-QCD calculation of the form factors for the semileptonic decays , , , and $B \to K \e…

hep-lat2019★ 30 cited

Investigation of complex theory at finite density in two dimensions using TRG

Daisuke Kadoh, Yoshinobu Kuramashi, Yoshifumi Nakamura +3

We study the two-dimensional complex theory at finite chemical potential using the tensor renormalization group. This model exhibits the Silver Blaze phenomenon in which bu…

physics.ins-det2019

Scintillation Timing Characteristics of Common Plastics for Radiation Detection Excited With 120 GeV Protons

Burak Bilki, Nilay Bostan, Ohannes Kamer Köseyan +2

The timing characteristics of scintillators must be understood in order to determine which applications they are appropriate for. Polyethylene naphthalate (PEN) and polyethylene te…

cs.LG2019★ 1 cited

Mislabel Detection of Finnish Publication Ranks

Anton Akusok, Mirka Saarela, Tommi Kärkkäinen +2

The paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently propos…

cs.LG2019

Per-sample Prediction Intervals for Extreme Learning Machines

Anton Akusok, Yoan Miche, Kaj-Mikael Björk +1

Prediction intervals in supervised Machine Learning bound the region where the true outputs of new samples may fall. They are necessary in the task of separating reliable predictio…

cs.LG2019

Extreme Learning Tree

Anton Akusok, Emil Eirola, Kaj-Mikael Björk +1

The paper proposes a new variant of a decision tree, called an Extreme Learning Tree. It consists of an extremely random tree with non-linear data transformation, and a linear obse…