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- 2023
-
Mark
CONCEPTUALIZING THE IMPACT OF DIGITAL BUSINESS MODELS ON PRIVACY CONCERNS
Kajtazi, Miranda LU
and Kurti, Erdelina
(2023)
36th Bled eConference, BLED 2023
In 36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings
p.721-735
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Decoding Auditory Attention From EEG Data Using Cepstral Analysis
(2023) 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 In ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
The emperor's new clothes?
- Contribution to journal › Debate/Note/Editorial
-
Mark
Efficient Security Protocols for Constrained Devices
(2023) In EIT series of licentiate and doctoral theses
- Thesis › Doctoral thesis (compilation)
-
Mark
Elements of cognition for general intelligence
Balkenius, Christian LU
; Johansson, Birger
LU
and Tjøstheim, Trond A.
LU
(2023)
In Lecture Notes in Computer Science
13921.
p.11-20
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
"More" work for nurses : the ironies of eHealth
Frennert, Susanne LU
; Petersson, Lena
LU
and Erlingsdottir, Gudbjörg
LU
(2023)
In BMC Health Services Research
23.
p.1-12
- Contribution to journal › Article
-
Mark
Network Parameterisation and Activation Functions in Deep Learning
(2023) In Doctoral Theses in Mathematical Sciences
- Thesis › Doctoral thesis (compilation)
-
Mark
Phase retrieval via non-rigid image registration
(2023) In arXiv.org
- Contribution to journal › Article
-
Mark
An introduction to computational complexity and statistical learning theory applied to nuclear models
Idini, Andrea LU
(2023)
28th International Nuclear Physics Conference, INPC 2022
In Journal of Physics: Conference Series
2586.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Chem2Side : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images
- Contribution to journal › Article