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researcher

J. Meiler

2 papers hereh-index 7022.7k citations525 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.BM1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedDeep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.BM2020★ 1 cited

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions

Vladimir Golkov, Alexander Becker, Daniel T. Plop +6

Computer-aided drug discovery is an essential component of modern drug development. Therein, deep learning has become an important tool for rapid screening of billions of molecules…

stat.AP2017

An Empirical Bayes Approach to Regularization Using Previously Published Models

Derek K Smith, Loren E Smith, Brett Kroncke +3

This manuscript proposes a novel empirical Bayes technique for regularizing regression coefficients in predictive models. When predictions from a previously published model are ava…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.