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Jan, N.
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1

List of Contributors:

, In: Maxillofacial Surgery,
Abdel-Galil, Khalild ; Ahmed, Abdul ; Ahmed, Nabeela... - p. vi-xiii , 2017
Link: https://doi.org/10.1016/..
 
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2

A Preliminary Study to Examining Per-class Performance Bias..:

, In: AI Verification; Lecture Notes in Computer Science,
Bosman, Annelot W. ; Münz, Anna L. ; Hoos, Holger H.. - p. 116-133 , 2024
Link: https://doi.org/10.1007/..
 
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3

Learning Curve Extrapolation Methods Across Extrapolation S..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,
Kielhöfer, Lionel ; Mohr, Felix ; van Rijn, Jan N. - p. 145-157 , 2024
Link: https://doi.org/10.1007/..
 
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4

Design of 3D-Printable Compliant Robotic Grippers Using Sol..:

, In: 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO),
Sun, Yilun ; Rodewald, Jan N. ; Lueth, Tim C. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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5

LCDB 1.0: An Extensive Learning Curves Database for Classif..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Mohr, Felix ; Viering, Tom J. ; Loog, Marco. - p. 3-19 , 2023
Link: https://doi.org/10.1007/..
 
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6

Hera on Samos: Between the Global and the Local:

, In: The Local Horizon of Ancient Greek Religion,
Bremmer, Jan N. - p. 105-140 , 2023
Link: https://doi.org/10.1017/..
 
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7

5 How to use socio-emotional signals for adaptive training:

, In: Personalized Human-Computer Interaction,
Moebert, Tobias ; Schneider, Jan N. ; Zoerner, Dietmar.. - p. 99-128 , 2023
Link: https://doi.org/10.1515/..
 
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8

Metalearning Approaches for Algorithm Selection I (Exploiti..:

, In: Metalearning; Cognitive Technologies,
Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 19-37 , 2022
Link: https://doi.org/10.1007/..
 
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9

Concluding Remarks:

, In: Metalearning; Cognitive Technologies,
Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 329-337 , 2022
Link: https://doi.org/10.1007/..
 
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10

Metadata Repositories:

, In: Metalearning; Cognitive Technologies,
Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 297-310 , 2022
Link: https://doi.org/10.1007/..
 
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11

Algorithm Recommendation for Data Streams:

, In: Metalearning; Cognitive Technologies,
Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 201-218 , 2022
Link: https://doi.org/10.1007/..
 
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12

Learning from Metadata in Repositories:

, In: Metalearning; Cognitive Technologies,
Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 311-327 , 2022
Link: https://doi.org/10.1007/..
 
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13

Automating Data Science:

, In: Metalearning; Cognitive Technologies,
Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 269-282 , 2022
Link: https://doi.org/10.1007/..
 
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14

Hyperparameter Importance of Quantum Neural Networks Across..:

, In: Discovery Science; Lecture Notes in Computer Science,
Moussa, Charles ; van Rijn, Jan N. ; Bäck, Thomas. - p. 32-46 , 2022
Link: https://doi.org/10.1007/..
 
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15

Metalearning for Deep Neural Networks:

, In: Metalearning; Cognitive Technologies,
Huisman, Mike ; van Rijn, Jan N. ; Plaat, Aske - p. 237-267 , 2022
Link: https://doi.org/10.1007/..
 
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