I. INTRODUCTION
By Shashank V. Joshi. 2012
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Siheng Chen
- José M. F. Moura
- Marwin H. S. Segler
- Zhongrui Wang
- Jelena Kovacevic
- Qiangfei Xia
- Can Li
- Sergey I. Nikolenko
Citations in the corpus
- Do Not Trust Additive Explanations (2019, background): “The need for higher transparency and explainability of models has been a hot topic in the last year, both in the Machine Learning community (Gill and Hall, 2018) as well as in the legal community that coined the phrase „Right to Explanation” in the discussion around General Data Protection…”
- Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks (2017, background): “[73] In addition, different approaches for target prediction, for example docking, could be evaluated .”
- Blockchain and IoT Integration: A Systematic Survey (2018, background): “The Corda platform provides pluggable consensus, which is unique among all open-source distributed ledger platforms [51].”
- Signal Recovery on Graphs: Variation Minimization (2014, background): “With the explosive growth of information and communication, signals are being generated at an unprecedented rate f rom various sources, including social networks, citation, bio logical, and physical infrastructures [1], [2].”
- Molecular representations in AI-driven drug discovery: a review and practical guide (2020, unknown): “For readers interested in further reading on these topics we recommend references [22–29], in addition to the references cited in each section.”
- Q-system completion for C⁎ 2-categories (2021, unknown): “Setting u := f | f | − 1 : X → Y , we calculate that u is a unitary isomorphism: In this article we will make heavy use of the graphical calculus of string diagrams for 2-categories [HV19, § 8.1.2], which are dual to pasting diagrams.”
- Correlations of multiplicative functions and applications (2016, methodology): “Furthermore, by Proposition 4 from [GS07b] applied to the additive functions in place of strongly additive”
- Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? (2019, methodology): “The authors approach treating septic patients using a Reinforcement Learning (RL) framework [3].”
- Visual simultaneous localization and mapping: a survey (2012, background): “In (Ciganek and Siebert 2009) there is a list of formulae to determine the similarity between two patches.”
- On regularity criteria for weak solutions to the micropolar fluid equations in Lorentz space (2010, unknown): “Applying the real interpolation (see [1])”