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Ingrid Hobæk Haff

Showing results (1-10 of 10) with videos related to

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Journal of Applied Statistics|July 12, 2023
The fraud loss for selecting the model complexity in fraud detectionSimon Boge Brant, Ingrid Hobæk Haff
Journal of Applied Statistics|March 16, 2026
Detecting statistical interactions in immune receptor data: a comparative studyThomas Minotto, Ingrid Hobæk Haff, Enrico Riccardi, et al.
Statistical Applications in Genetics and Molecular Biology|April 2, 2024
Assessing the feasibility of statistical inference using synthetic antibody-antigen datasetsThomas Minotto, Philippe A Robert, Ingrid Hobæk Haff, et al.
Nucleic Acids Research|January 28, 2025
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learningMaria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
Briefings in Bioinformatics|October 22, 2024
Predictability of antigen binding based on short motifs in the antibody CDRH3Lonneke Scheffer, Eric Emanuel Reber, Brij Bhushan Mehta, et al.
Cell Reports|March 17, 2021
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen bindingRahmad Akbar, Philippe A Robert, Milena Pavlović, et al.
Genome Research|November 24, 2021
Individualized VDJ recombination predisposes the available Ig sequence spaceAndrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova, et al.
Mabs|April 4, 2022
In silico proof of principle of machine learning-based antibody design at unconstrained scaleRahmad Akbar, Philippe A Robert, Cédric R Weber, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Nature Machine Intelligence|July 3, 2023
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoiresMilena Pavlović, Lonneke Scheffer, Keshav Motwani, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Applied Statistics|July 12, 2023
The fraud loss for selecting the model complexity in fraud detectionSimon Boge Brant, Ingrid Hobæk Haff
Journal of Applied Statistics|March 16, 2026
Detecting statistical interactions in immune receptor data: a comparative studyThomas Minotto, Ingrid Hobæk Haff, Enrico Riccardi, et al.
Statistical Applications in Genetics and Molecular Biology|April 2, 2024
Assessing the feasibility of statistical inference using synthetic antibody-antigen datasetsThomas Minotto, Philippe A Robert, Ingrid Hobæk Haff, et al.
Nucleic Acids Research|January 28, 2025
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learningMaria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
Briefings in Bioinformatics|October 22, 2024
Predictability of antigen binding based on short motifs in the antibody CDRH3Lonneke Scheffer, Eric Emanuel Reber, Brij Bhushan Mehta, et al.
Cell Reports|March 17, 2021
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen bindingRahmad Akbar, Philippe A Robert, Milena Pavlović, et al.
Genome Research|November 24, 2021
Individualized VDJ recombination predisposes the available Ig sequence spaceAndrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova, et al.
Mabs|April 4, 2022
In silico proof of principle of machine learning-based antibody design at unconstrained scaleRahmad Akbar, Philippe A Robert, Cédric R Weber, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Nature Machine Intelligence|July 3, 2023
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoiresMilena Pavlović, Lonneke Scheffer, Keshav Motwani, et al.
Pageof 1