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Lübbering, Max
23  Ergebnisse:
Personensuche X
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1

Utilization of Reconstructive Representation Learning for R..:

Lübbering, Max , 2023
Link: https://nbn-resolving.de..
 
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2

From Open Set Recognition Towards Robust Multi-class Classi..:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,
Lübbering, Max ; Gebauer, Michael ; Ramamurthy, Rajkumar.. - p. 643-655 , 2022
Link: https://doi.org/10.1007/..
 
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3

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays:

, In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI),
Schneider, Helen ; Lubbering, Max ; Kador, Rebecca... - p. 543-550 , 2022
Link: https://doi.org/10.1109/..
 
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4

Bounding open space risk with decoupling autoencoders in op..:

Lübbering, Max ; Gebauer, Michael ; Ramamurthy, Rajkumar..
International Journal of Data Science and Analytics.  14 (2022)  4 - p. 351-373 , 2022
Link: https://doi.org/10.1007/..
 
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5

Datastack: Unification of Heterogeneous Machine Learning Da..:

, In: 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW),
Lubbering, Max ; Pielka, Maren ; Henk, Ilhamcengiz. - p. 66-69 , 2022
Link: https://doi.org/10.1109/..
 
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6

Supervised Autoencoder Variants for End to End Anomaly Dete..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Lübbering, Max ; Gebauer, Michael ; Ramamurthy, Rajkumar.. - p. 566-581 , 2021
Link: https://doi.org/10.1007/..
 
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7

Knowledge Graph Based Question Answering System for Financi..:

, In: KI 2021: Advances in Artificial Intelligence; Lecture Notes in Computer Science,
Bulla, Marius ; Hillebrand, Lars ; Lübbering, Max. - p. 44-50 , 2021
Link: https://doi.org/10.1007/..
 
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8

Anonymization of German financial documents using neural ne..:

Biesner, David ; Ramamurthy, Rajkumar ; Stenzel, Robin...
International Journal of Data Science and Analytics.  13 (2021)  2 - p. 151-161 , 2021
Link: https://doi.org/10.1007/..
 
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9

Guided Reinforcement Learning via Sequence Learning:

, In: Artificial Neural Networks and Machine Learning – ICANN 2020; Lecture Notes in Computer Science,
Ramamurthy, Rajkumar ; Sifa, Rafet ; Lübbering, Max. - p. 335-345 , 2020
Link: https://doi.org/10.1007/..
 
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10

Novelty-Guided Reinforcement Learning via Encoded Behaviors:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Ramamurthy, Rajkumar ; Sifa, Rafet ; Lubbering, Max. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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11

From Imbalanced Classification to Supervised Outlier Detect..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2020; Lecture Notes in Computer Science,
Lübbering, Max ; Ramamurthy, Rajkumar ; Gebauer, Michael... - p. 27-38 , 2020
Link: https://doi.org/10.1007/..
 
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12

Towards Automated Auditing with Machine Learning:

, In: Proceedings of the ACM Symposium on Document Engineering 2019,
Sifa, Rafet ; Ladi, Anna ; Pielka, Maren... - p. 1-4 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

Tokenizer Choice For LLM Training: Negligible or Crucial?:

Ali, Mehdi ; Fromm, Michael ; Thellmann, Klaudia...
http://arxiv.org/abs/2310.08754.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Utilization of Reconstructive Representation Learning for R..:

Lübbering, Max
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:5-71499.  , 2023
Link: https://hdl.handle.net/2..
 
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15

Bounding open space risk with decoupling autoencoders in op..:

Lübbering, Max ; Gebauer, M ; Ramamurthy, Rajkumar..
International journal of data science and analytics.  , 2022
Link: https://publica.fraunhof..
 
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