Blar i NR vitenarkiv på forfatter "Hubin, Aliaksandr"
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A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion)
Hubin, Aliaksandr; Storvik, Geir Olve; Frommlet, Florian (Peer reviewed; Journal article, 2020) -
A Bayesian Binomial Regression Model with Latent Gaussian Processes for Modelling DNA Methylation
Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind; Butenko, Melinka Alonso (Peer reviewed; Journal article, 2020)Epigenetic observations are represented by the total number of reads from a given pool of cells and the number of methylated reads, making it reasonable to model this data by a binomial distribution. There are numerous ... -
Flexible Bayesian Nonlinear Model Configuration
Hubin, Aliaksandr; Storvik, Geir; Frommlet, Florian (Journal article; Peer reviewed, 2021)Regression models are used in a wide range of applications providing a powerful scientific tool for researchers from different fields. Linear, or simple parametric, models are often not sufficient to describe complex ... -
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr; Touileb, Samia (Chapter, 2020)Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data is available, transfer learning techniques ... -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
Hubin, Aliaksandr; Storvik, Geir Olve; Frommlet, Florian (Peer reviewed; Journal article, 2020) -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
Hubin, Aliaksandr; Storvik, Geir Olve; Frommlet, Florian (Peer reviewed; Journal article, 2020)Logic regression was developed more than a decade ago as a tool to construct predictors from Boolean combinations of binary covariates. It has been mainly used to model epistatic effects in genetic association studies, ... -
skweak: Weak Supervision Made Easy for NLP
Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr (Chapter, 2021)We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machine learning paradigm based on a simple idea: ...