Chen Yanover

Orcid: 0000-0003-3663-4286

According to our database1, Chen Yanover authored at least 23 papers between 2002 and 2024.

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Bibliography

2024
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network.
J. Am. Medical Informatics Assoc., 2024

2022
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2018
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis.
CoRR, 2018

Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2014
Redundancy-weighting for better inference of protein structural features.
Bioinform., 2014

Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem.
Proceedings of the AMIA 2014, 2014

2013
Polymorphisms in the <i>F8</i> Gene and MHC-II Variants as Risk Factors for the Development of Inhibitory Anti-Factor VIII Antibodies during the Treatment of Hemophilia A: A Computational Assessment.
PLoS Comput. Biol., 2013

2011
Optimizing energy functions for protein-protein interface design.
J. Comput. Chem., 2011

2010
SPRINT: side-chain prediction inference toolbox for multistate protein design.
Bioinform., 2010

How do amino acid mismatches affect the outcome of hematopoietic cell transplants?: a structural perspective.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
<i>M</i> are better than one: an ensemble-based motif finder and its application to regulatory element prediction.
Bioinform., 2009

2008
Minimizing and Learning Energy Functions for Side-Chain Prediction.
J. Comput. Biol., 2008

A computational framework to empower probabilistic protein design.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007
Inference and learning for side-chain prediction and protein design (כולל שער נוסף ותקציר בעברית: הסקה ולמידה ככלים לפתרון בעית חיזוי שרשראות הצד ולתכנון חלבונים.).
PhD thesis, 2007

Dead-end elimination for multistate protein design.
J. Comput. Chem., 2007

Identifying HLA supertypes by learning distance functions.
Bioinform., 2007

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies.
Proceedings of the UAI 2007, 2007

2006
Linear Programming Relaxations and Belief Propagation - An Empirical Study.
J. Mach. Learn. Res., 2006

PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions.
BMC Bioinform., 2006

2005
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions.
Proceedings of the Research in Computational Molecular Biology, 2005

Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2003
Finding the M Most Probable Configurations in Arbitrary Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Approximate Inference and Protein-Folding.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002


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