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- 2021
-
Mark
Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic : A scientometric review using text mining
- Contribution to journal › Scientific review
-
Mark
Food logistics 4.0 : opportunities and challenges
Jagtap, Sandeep LU
; Bader, Farah
; Garcia-Garcia, Guillermo
; Trollman, Hana
; Fadiji, Tobi
and Salonitis, Konstantinos
(2021)
In Logistics
5(1).
- Contribution to journal › Article
-
Mark
Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry
Kjell, Katarina LU ; Johnsson, Per LU and Sikström, Sverker LU
(2021)
In Frontiers in Psychology
12.
- Contribution to journal › Article
-
Mark
Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network
Ly, John LU ; Minarik, David LU ; Jögi, Jonas LU
; Wollmer, Per
LU
and Trägårdh, Elin
LU
(2021)
In EJNMMI Research
11(1).
- Contribution to journal › Article
-
Mark
Sin, Suffering, and the Problem of Evil
- Book/Report › Anthology (editor)
-
Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
Heyman, Ellen Tolestam LU
; Ashfaq, Awais
; Khoshnood, Ardavan
LU
; Ohlsson, Mattias
LU
; Ekelund, Ulf
LU
; Holmqvist, Lina Dahlén
and Lingman, Markus
(2021)
In Journal of Emergency Medicine
61(6).
p.763-773
- Contribution to journal › Article
-
Mark
Harnessing Artificial Intelligence for Quantitative Assessment of Hemodynamic Congestion and Predicting Outcomes
- Contribution to journal › Debate/Note/Editorial
-
Mark
Machine learning in the prediction of cancer therapy
Rafique, Raihan ; Islam, S. M.Riazul and Kazi, Julhash U. LU
(2021)
In Computational and Structural Biotechnology Journal
19.
p.4003-4017
- Contribution to journal › Scientific review
-
Mark
PON-Sol2 : Prediction of effects of variants on protein solubility
Yang, Yang LU ; Zeng, Lianjie and Vihinen, Mauno LU
(2021)
In International Journal of Molecular Sciences
22(15).
- Contribution to journal › Article
-
Mark
Accelerated Deep Reinforcement Learning for Fast Feedback of Beam Dynamics at KARA
Wang, Weija ; Caselle, Michele ; Boltz, Tobias ; Blomley, Edmund ; Brosi, Miriam LU
; Dritschler, Timo
; Ebersoldt, Andreas
; Kopmann, Andreas
; Garcia, Andrea Santamaria
and Schreiber, Patrick
, et al.
(2021)
In IEEE Transactions on Nuclear Science
68(8).
p.1794-1800
- Contribution to journal › Article