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Granitzer, Michael
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1

Informed Heterogeneous Attention Networks for Metapath Base..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,
Wendlinger, Lorenz ; Granitzer, Michael - p. 458-465 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and G..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Touat, Ousmane ; Stier, Julian ; Portier, Pierre-Edouard. - p. 430-444 , 2024
Link: https://doi.org/10.1007/..
 
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3

The Open Web Index: Crawling and Indexing the Web for Publi..:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
Hendriksen, Gijs ; Dinzinger, Michael ; Farzana, Sheikh Mastura... - p. 130-143 , 2024
Link: https://doi.org/10.1007/..
 
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4

Knowledge Distillation with Segment Anything (SAM) Model fo..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Julka, Sahib ; Granitzer, Michael - p. 68-77 , 2024
Link: https://doi.org/10.1007/..
 
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5

The First International Workshop on Open Web Search (WOWS):

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
Farzana, Sheikh Mastura ; Fröbe, Maik ; Granitzer, Michael... - p. 426-431 , 2024
Link: https://doi.org/10.1007/..
 
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6

DriftGAN: Using historical data for Unsupervised Recurring ..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,
Fellicious, Christofer ; Julka, Sahib ; Wendlinger, Lorenz. - p. 368-369 , 2024
Link: https://dl.acm.org/doi/1..
 
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7

Impact of Position Bias on Language Models in Token Classif..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,
Ben Amor, Mehdi ; Granitzer, Michael ; Mitrović, Jelena - p. 741-745 , 2024
Link: https://dl.acm.org/doi/1..
 
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8

Efficient NAS with FaDE on Hierarchical Spaces:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,
Neumeyer, Simon ; Stier, Julian ; Granitzer, Michael - p. 158-170 , 2024
Link: https://doi.org/10.1007/..
 
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9

Deep Active Learning with Concept Drifts for Detection of M..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Julka, Sahib ; Ishmukhametov, Rodion ; Granitzer, Michael - p. 390-404 , 2024
Link: https://doi.org/10.1007/..
 
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10

A Longitudinal Study of Content Control Mechanisms:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Dinzinger, Michael ; Granitzer, Michael - p. 1382-1387 , 2024
Link: https://dl.acm.org/doi/1..
 
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11

Lessons learned from the 1st Ariel Machine Learning Challen..:

Nikolaou, Nikolaos ; Waldmann, Ingo P ; Tsiaras, Angelos...
RAS Techniques and Instruments.  2 (2023)  1 - p. 695-709 , 2023
Link: https://doi.org/10.1093/..
 
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12

Neural Network Based Drift Detection:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Fellicious, Christofer ; Wendlinger, Lorenz ; Granitzer, Michael - p. 370-383 , 2023
Link: https://doi.org/10.1007/..
 
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13

A Dataset of German Legal Reference Annotations:

, In: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law,
Darji, Harshil ; Mitrović, Jelena ; Granitzer, Michael - p. 392-396 , 2023
Link: https://dl.acm.org/doi/1..
 
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14

Expressive and Intuitive Models for Automated Context Repre..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Ghosh Dastidar, Kanishka ; Siblini, Wissam ; Granitzer, Michael - p. 154-168 , 2023
Link: https://doi.org/10.1007/..
 
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15

Pooling Graph Convolutional Networks for Structural Perform..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Wendlinger, Lorenz ; Granitzer, Michael ; Fellicious, Christofer - p. 1-16 , 2023
Link: https://doi.org/10.1007/..
 
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