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Seidl, D. Thomas
914  Ergebnisse:
Personensuche X
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1

On Diverse and Precise Recommendations for Small and Medium..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Zellner, Ludwig ; Rauch, Simon ; Sontheim, Janina. - p. 118-130 , 2024
Link: https://doi.org/10.1007/..
 
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2

Combining an Electrochemical Continuous Glucose Sensor With..:

Yuan, Cheng Yi ; Halim, Bella ; Kong, Yee W....
Journal of Diabetes Science and Technology.  , 2024
Link: https://doi.org/10.1177/..
 
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3

Process Mining Techniques for Collusion Detection in Online..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
Maldonado, Andrea ; Zellner, Ludwig ; Strickroth, Sven. - p. 336-348 , 2024
Link: https://doi.org/10.1007/..
 
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4

Adaptive Multi-Resolution Attention with Linear Complexity:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Zhang, Yao ; Ma, Yunpu ; Seidl, Thomas. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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5

The influence of ball in/out of play and possession in elit..:

Jerome, Benjamin W. C. ; Stoeckl, Michael ; Mackriell, Ben...
European Journal of Sport Science.  23 (2023)  9 - p. 1892-1902 , 2023
Link: https://doi.org/10.1080/..
 
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6

Constrained Portfolio Management Using Action Space Decompo..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Winkel, David ; Strauß, Niklas ; Schubert, Matthias.. - p. 373-385 , 2023
Link: https://doi.org/10.1007/..
 
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7

Risk-Aware Reinforcement Learning for Multi-Period Portfoli..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Winkel, David ; Strauß, Niklas ; Schubert, Matthias. - p. 185-200 , 2023
Link: https://doi.org/10.1007/..
 
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8

Linearization errors in discrete goal-oriented error estima..:

Granzow, Brian N. ; Seidl, D. Thomas ; Bond, Stephen D.
Computer Methods in Applied Mechanics and Engineering.  416 (2023)  - p. 116364 , 2023
Link: https://doi.org/10.1016/..
 
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9

DiffusAL: Coupling Active Learning with Graph Diffusion for..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Gilhuber, Sandra ; Busch, Julian ; Rotthues, Daniel.. - p. 75-91 , 2023
Link: https://doi.org/10.1007/..
 
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10

Shot Analysis in Different Levels of German Football Using ..:

, In: Communications in Computer and Information Science; Machine Learning and Data Mining for Sports Analytics,
Raudonius, Laurynas ; Seidl, Thomas - p. 14-26 , 2023
Link: https://doi.org/10.1007/..
 
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11

Machine Learning Surrogates of a Fuel Matrix Degradation Pr..:

Debusschere, Bert J. ; Seidl, D. Thomas ; Berg, Timothy M....
Nuclear Technology.  209 (2023)  9 - p. 1295-1318 , 2023
Link: https://doi.org/10.1080/..
 
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12

How to Overcome Confirmation Bias in Semi-Supervised Image ..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Gilhuber, Sandra ; Hvingelby, Rasmus ; Fok, Mang Ling Ada. - p. 330-347 , 2023
Link: https://doi.org/10.1007/..
 
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13

Machine learning driven argument mining:

Fromm, Michael , 2022
Link: https://nbn-resolving.de..
 
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14

Advances in correlation clustering:

Kazempour, Daniyal , 2022
Link: https://nbn-resolving.de..
 
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15

VERIPS: Verified Pseudo-label Selection for Deep Active Lea..:

, In: 2022 IEEE International Conference on Data Mining (ICDM),
Gilhuber, Sandra ; Jahn, Philipp ; Ma, Yunpu. - p. 951-956 , 2022
Link: https://doi.org/10.1109/..
 
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