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- 2024
-
Mark
Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch: Third Edition
- Book/Report › Book
-
Mark
Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder : Preregistered Development and Usability Study Using Natural Language Processing
Strojny, Paweł ; Kapela, Ksawery ; Lipp, Natalia and Sikström, Sverker LU
(2024)
In JMIR Serious Games
12.
- Contribution to journal › Article
- 2023
-
Mark
eChem : A Notebook Exploration of Quantum Chemistry
Fransson, Thomas ; Delcey, Mickael G. LU
; Brumboiu, Iulia Emilia
; Hodecker, Manuel
; Li, Xin
; Rinkevicius, Zilvinas
; Dreuw, Andreas
; Rhee, Young Min
and Norman, Patrick
(2023)
In Journal of Chemical Education
100(4).
p.1664-1671
- Contribution to journal › Article
-
Mark
Tools for digital twins in continuous downstream processing
(2023)
- Thesis › Doctoral thesis (compilation)
- 2022
-
Mark
Extendible and Efficient Python Framework for Solving Evolution Equations with Stabilized Discontinuous Galerkin Methods
Dedner, Andreas and Klöfkorn, Robert LU
(2022)
In Communications on Applied Mathematics and Computation
4(2).
p.657-696
- Contribution to journal › Article
- 2021
-
Mark
Mushroomrl : simplifying reinforcement learning research
D'Eramo, Carlo ; Tateo, Davide LU
; Bonarini, Andrea
; Restelli, Marcello
and Peters, Jan
(2021)
In Journal of Machine Learning Research
22.
- Contribution to journal › Article
- 2020
-
Mark
Trajectory optimization of an oscillating industrial two-stage evaporator utilizing a Python-Aspen Plus Dynamics toolchain
Yamanee-Nolin, Mikael LU ; Andersson, Niklas LU
; Nilsson, Bernt
LU
; Max-Hansen, Mark
LU
and Pajalic, Oleg
(2020)
In Chemical Engineering Research and Design
155.
p.12-17
- Contribution to journal › Article
-
Mark
A python framework for solving advection-diffusion problems
Dedner, Andreas and Klöfkorn, Robert LU
(2020)
9th International Symposium on Finite Volumes for Complex Applications, FVCA 2020
In Springer Proceedings in Mathematics and Statistics
323.
p.695-703
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2019
-
Mark
Single-shooting optimization of an industrial process through co-simulation of a modularized Aspen Plus Dynamics model
Yamanee-Nolin, Mikael LU ; Löfgren, Anton LU
; Andersson, Niklas
LU
; Nilsson, Bernt
LU
; Max-Hansen, Mark
LU
and Pajalic, Oleg
(2019)
29th European Symposium on Computer Aided Process Engineering
In Computer Aided Chemical Engineering
46.
p.721-726
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Computational proteomics with Jupyter and Python
- Chapter in Book/Report/Conference proceeding › Book chapter