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- 2024
-
Mark
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
Kallingal, Jalisha T. LU ; Lindström, Johan LU
; Miller, Paul A.
LU
; Rinne, Janne
LU
; Raivonen, Maarit
and Scholze, Marko
LU
(2024)
In Geoscientific Model Development
17(6).
p.2299-2324
- Contribution to journal › Article
-
Mark
Inferring the Redshift of More than 150 GRBs with a Machine-learning Ensemble Model
- Contribution to journal › Article
-
Mark
Modelling and analysis of multi-scale networks
Ekström, Henrik LU
(2024)
- Thesis › Doctoral thesis (compilation)
-
Mark
Gaussian process learning of nonlinear dynamics
- Contribution to journal › Article
-
Mark
The Lasso and Ridge Regression Yield Biased Estimates of Imbalanced Binary Features
Larsson, Johan LU
and Wallin, Jonas
LU
(2024)
- Other contribution › Miscellaneous
-
Mark
Estimating major merger rates and spin parameters ab initio via the clustering of critical events
Cadiou, Corentin LU
; Pichon-Pharabod, Eric
; Pichon, Christophe
and Pogosyan, Dmitri
(2024)
In Monthly Notices of the Royal Astronomical Society
531(1).
p.1385-1397
- Contribution to journal › Article
-
Mark
Efficient and precise annotation of local structures in data
- Thesis › Licentiate thesis
-
Mark
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Convergence criteria for single-step free-energy calculations : the relation between the Π bias measure and the sample variance
- Contribution to journal › Article
-
Mark
Solving the Cocktail Party Problem : Spectral Estimation and Linear Modelling
- Thesis › Licentiate thesis