76 citations · 167 across the 5 of their papers we have counts for
5 papers
Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy
Laetitia Le, Camille Marini, Alexandre Gramfort +9
Monoclonal antibodies constitute one of the most important strategies to treat patients suffering from cancers such as hematological malignancies and solid tumors. In order to guar…
Single Muon Response: Tracklength
Balazs Kegl, Darko Veberic
In this note we aim to infer a model for the response of a Pierre Auger water Cherenkov detector to an ideal single muon. The main goal of this analysis is to provide analytical su…
Ultrahigh Energy Neutrinos at the Pierre Auger Observatory
Pierre Auger Collaboration
The observation of ultrahigh energy (UHE) neutrinos has become a priority in experimental astroparticle physics. UHE neutrinos can be detected with a variety of techniques. In part…
Search for Point-Like Sources of Ultra-High Energy Neutrinos at the Pierre Auger Observatory and Improved Limit on the Diffuse Flux of Tau Neutrinos
Pierre Auger Collaboration
The Surface Detector array of the Pierre Auger Observatory can detect neutrinos with energy between 10^17 eV and 10^20 eV from point-like sources across the sky south of +55 deg an…
Fast classification using sparse decision DAGs
Djalel Benbouzid, Robert Busa-Fekete, Balazs Kegl
In this paper we propose an algorithm that builds sparse decision DAGs (directed acyclic graphs) from a list of base classifiers provided by an external learning method such as Ada…