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Kaden, Marika
39  Ergebnisse:
Personensuche X
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1

Multi-proximity based embedding scheme for learning vector ..:

Bohnsack, Katrin Sophie ; Voigt, Julius ; Kaden, Marika..
Neurocomputing.  554 (2023)  - p. 126632 , 2023
Link: https://doi.org/10.1016/..
 
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2

Compression of Particle Images for Inspection of Microgravi..:

, In: 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS),
Staps, Daniel ; Kaden, Marika ; Auth, Jan.. - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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3

Trustworthiness and Confidence of Gait Phase Predictions in..:

, In: Neural Information Processing; Lecture Notes in Computer Science,
Möbius, Danny ; Ravichandran, Jensun ; Kaden, Marika. - p. 379-390 , 2023
Link: https://doi.org/10.1007/..
 
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4

A Learning Vector Quantization Architecture for Transfer Le..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,
Villmann, Thomas ; Staps, Daniel ; Ravichandran, Jensun... - p. 354-364 , 2022
Link: https://doi.org/10.1007/..
 
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5

Alignment-free sequence comparison: A systematic survey fro..:

Bohnsack, Katrin Sophie ; Kaden, Marika ; Abel, Julia.
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  , 2022
Link: https://doi.org/10.1109/..
 
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6

Prototype-based One-Class-Classification Learning Using Loc..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Staps, Daniel ; Schubert, Ronny ; Kaden, Marika... - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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7

Variants of recurrent learning vector quantization:

Ravichandran, Jensun ; Kaden, Marika ; Villmann, Thomas
Neurocomputing.  502 (2022)  - p. 27-36 , 2022
Link: https://doi.org/10.1016/..
 
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8

Learning vector quantization as an interpretable classifier..:

Kaden, Marika ; Bohnsack, Katrin Sophie ; Weber, Mirko...
Neural Computing and Applications.  34 (2021)  1 - p. 67-78 , 2021
Link: https://doi.org/10.1007/..
 
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9

Possibilistic Classification Learning Based on Contrastive ..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,
Musavishavazi, Seyedfakhredin ; Kaden, Marika ; Villmann, Thomas - p. 156-167 , 2021
Link: https://doi.org/10.1007/..
 
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10

AI-Based Multi Sensor Fusion for Smart Decision Making: A B..:

Zoghlami, Feryel ; Kaden, Marika ; Villmann, Thomas..
Sensors.  21 (2021)  13 - p. 4405 , 2021
Link: https://doi.org/10.3390/..
 
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11

The Resolved Mutual Information Function as a Structural Fi..:

Bohnsack, Katrin Sophie ; Kaden, Marika ; Abel, Julia..
Entropy.  23 (2021)  10 - p. 1357 , 2021
Link: https://doi.org/10.3390/..
 
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12

Variants of DropConnect in Learning vector quantization net..:

Ravichandran, Jensun ; Kaden, Marika ; Saralajew, Sascha.
Neurocomputing.  403 (2020)  - p. 121-132 , 2020
Link: https://doi.org/10.1016/..
 
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13

Quantum-inspired learning vector quantizers for prototype-b..:

Villmann, Thomas ; Engelsberger, Alexander ; Ravichandran, Jensun..
Neural Computing and Applications.  34 (2020)  1 - p. 79-88 , 2020
Link: https://doi.org/10.1007/..
 
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14

Searching for the Origins of Life – Detecting RNA Life Sign..:

, In: Advances in Intelligent Systems and Computing; Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization,
Villmann, Thomas ; Kaden, Marika ; Wasik, Szymon... - p. 324-333 , 2019
Link: https://doi.org/10.1007/..
 
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15

Investigation of Activation Functions for Generalized Learn..:

, In: Advances in Intelligent Systems and Computing; Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization,
Villmann, Thomas ; Ravichandran, Jensun ; Villmann, Andrea.. - p. 179-188 , 2019
Link: https://doi.org/10.1007/..
 
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