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Hansen, Lars Kai
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1

Knowledge Graphs for Empirical Concept Retrieval:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,
Tětková, Lenka ; Scheidt, Teresa Karen ; Fogh, Maria Mandrup... - p. 160-183 , 2024
Link: https://doi.org/10.1007/..
 
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2

Image classification with symbolic hints using limited reso..:

Jørgensen, Mikkel Godsk ; Tětková, Lenka ; Hansen, Lars Kai.
PLOS ONE.  19 (2024)  5 - p. e0301360 , 2024
Link: https://doi.org/10.1371/..
 
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3

Concept-Based Explainability for an EEG Transformer Model:

, In: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP),
Madsen, Anders Gjolbye ; Lehn-Schioler, William Theodor ; Jonsdottir, Ashildur.. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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4

Using sequences of life-events to predict human lives:

Savcisens, Germans ; Eliassi-Rad, Tina ; Hansen, Lars Kai...
Nature Computational Science.  4 (2023)  1 - p. 43-56 , 2023
Link: https://doi.org/10.1038/..
 
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5

Robustness of Visual Explanations to Common Data Augmentati..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Tetkova, Lenka ; Hansen, Lars Kai - p. 3715-3720 , 2023
Link: https://doi.org/10.1109/..
 
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6

Automatic proficiency scoring for early-stage writing:

Andersen, Michael Riis ; Kabel, Kristine ; Bremholm, Jesper..
Computers and Education: Artificial Intelligence.  5 (2023)  - p. 100168 , 2023
Link: https://doi.org/10.1016/..
 
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7

Modulation transfer functions for audiovisual speech:

Pedersen, Nicolai F. ; Dau, Torsten ; Hansen, Lars Kai..
PLOS Computational Biology.  18 (2022)  7 - p. e1010273 , 2022
Link: https://doi.org/10.1371/..
 
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8

Noise-assisted variational quantum thermalization:

Foldager, Jonathan ; Pesah, Arthur ; Hansen, Lars Kai
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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9

Uncovering Cortical Units of Processing From Multi-Layered ..:

Albers, Kristoffer Jon ; Liptrot, Matthew G. ; Ambrosen, Karen Sandø...
Frontiers in Neuroscience.  16 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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10

Spontaneous Symmetry Breaking in Data Visualization:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2021,
Feldager, Cilie W. ; Hauberg, Søren ; Hansen, Lars Kai - p. 435-446 , 2021
Link: https://doi.org/10.1007/..
 
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11

Software for Creating and Analyzing Semantic Representation:

, In: Statistical Semantics,
Nielsen, Finn Årup ; Hansen, Lars Kai - p. 33-51 , 2020
Link: https://doi.org/10.1007/..
 
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12

Robustness analytics to data heterogeneity in edge computin:

Qian, Jia ; Hansen, Lars Kai ; Fafoutis, Xenofon..
Computer Communications.  164 (2020)  - p. 229-239 , 2020
Link: https://doi.org/10.1016/..
 
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13

Creating Semantic Representations:

, In: Statistical Semantics,
Nielsen, Finn Årup ; Hansen, Lars Kai - p. 11-31 , 2020
Link: https://doi.org/10.1007/..
 
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14

Single-Trial Decoding of Scalp EEG under Natural Conditions:

Tuckute, Greta ; Hansen, Sofie Therese ; Pedersen, Nicolai..
Computational Intelligence and Neuroscience.  2019 (2019)  - p. 1-11 , 2019
Link: https://doi.org/10.1155/..
 
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15

Explainable AI: Interpreting, Explaining and Visualizing De.. 

Lecture Notes in Artificial Intelligence, 11700
Samek, Wojciech ; Montavon, Grégoire ; Vedaldi, Andrea.. - 1st ed. 2019 . , 2019
Link: https://doi.org/10.1007/..
 
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