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Leonard Weydemann
Publication Activity (10 Years)
Years Active: 2017-2019
Publications (10 Years): 3
Top Topics
Bayesian Learning
Gaussian Process Classification
Neural Network
Belief Nets
Top Venues
CoRR
LocalRec@SIGSPATIAL
AIME
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Publications
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Leonard Weydemann
,
Dimitris Sacharidis
,
Hannes Werthner
Defining and measuring fairness in location recommendations.
LocalRec@SIGSPATIAL
(2019)
Wolfgang Fruehwirt
,
Adam D. Cobb
,
Martin Mairhofer
,
Leonard Weydemann
,
Heinrich Garn
,
Reinhold Schmidt
,
Thomas Benke
,
Peter Dal-Bianco
,
Gerhard Ransmayr
,
Markus Waser
,
Dieter Grossegger
,
Pengfei Zhang
,
Georg Dorffner
,
Stephen J. Roberts
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity.
CoRR
(2018)
Wolfgang Fruehwirt
,
Pengfei Zhang
,
Matthias Gerstgrasser
,
Dieter Grossegger
,
Reinhold Schmidt
,
Thomas Benke
,
Peter Dal-Bianco
,
Gerhard Ransmayr
,
Leonard Weydemann
,
Heinrich Garn
,
Markus Waser
,
Michael A. Osborne
,
Georg Dorffner
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.
AIME
(2017)