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X
Müller, Emmanuel
1737  Ergebnisse:
Personensuche X
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1

On the Efficient Explanation of Outlier Detection Ensembles..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Klüttermann, Simon ; Balestra, Chiara ; Müller, Emmanuel - p. 43-55 , 2024
Link: https://doi.org/10.1007/..
 
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2

Kommunen, Innovationen und Resilienz. Überlegungen aus der ..:

, In: Moderne Verwaltung und gesellschaftliche Entwicklung,
Seker, Merdan ; Muller, Emmanuel ; Drewello, Hansjörg. - p. 203-222 , 2024
Link: https://doi.org/10.5771/..
 
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3

Measuring and Understanding Trust Calibrations for Automate..:

, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,
Wischnewski, Magdalena ; Krämer, Nicole ; Müller, Emmanuel - p. 1-16 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Evaluating and Comparing Heterogeneous Ensemble Methods for..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Kluttermann, Simon ; Muller, Emmanuel - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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5

Contrastive Time Series Anomaly Detection by Temporal Trans..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Li, Bin ; Muller, Emmanuel - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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6

On Model Performance Estimation in Time Series Anomaly Dete..:

, In: Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems,
Baudzus, Arn ; Li, Bin ; Jadid, Adnane. - p. 106-117 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

On Graph Representation based Re-Identification – A Proof o..:

, In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Kluttermann, Simon ; Rutinowski, Jerome ; Nguyen, Anh... - p. 1097-1104 , 2023
Link: https://doi.org/10.1109/..
 
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8

RODD: Robust Outlier Detection in Data Cubes:

, In: Big Data Analytics and Knowledge Discovery; Lecture Notes in Computer Science,
Kuhlmann, Lara ; Wilmes, Daniel ; Müller, Emmanuel.. - p. 325-339 , 2023
Link: https://doi.org/10.1007/..
 
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9

ADEPT: Anomaly Detection, Explanation and Processing for Ti..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Müller, Benedikt Tobias ; Ender, Marvin ; Swiadek, Jan Erik... - p. 622-626 , 2023
Link: https://doi.org/10.1007/..
 
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10

On the Independence of Adversarial Transferability to Topol..:

, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA),
Newen, Carina ; Muller, Emmanuel - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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11

Municipalities, Innovation and Resilience:

Seker, Merdan ; Muller, Emmanuel
Open Journal of Business and Management.  11 (2023)  6 - p. 3332-3342 , 2023
Link: https://doi.org/10.4236/..
 
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12

The Good, The Bad, and The Average: Benchmarking of Reconst..:

, In: Lecture Notes in Computer Science; Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track,
Baudzus, Arn ; Li, Bin ; Jadid, Adnane. - p. 356-360 , 2023
Link: https://doi.org/10.1007/..
 
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13

slidSHAPs – sliding Shapley Values for correlation-based ch..:

, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA),
Balestra, Chiara ; Li, Bin ; Muller, Emmanuel - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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14

State-Transition-Aware Anomaly Detection Under Concept Drif..:

, In: Big Data Analytics and Knowledge Discovery; Lecture Notes in Computer Science,
Li, Bin ; Müller, Emmanuel - p. 49-63 , 2023
Link: https://doi.org/10.1007/..
 
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15

Contextual Shift Method (CSM):

, In: Big Data Analytics and Knowledge Discovery; Lecture Notes in Computer Science,
Schmitz, Gernot ; Wilmes, Daniel ; Gerharz, Alexander.. - p. 101-106 , 2023
Link: https://doi.org/10.1007/..
 
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