Seidl, D. Thomas
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2

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
 
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3

Process Mining Techniques for Collusion Detection in Online..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
 
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4

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
 
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5

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
 
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6

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

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
 
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8

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
 
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9

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

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
 
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11

Constrained Portfolio Management Using Action Space Decompo..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
 
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12

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

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
 
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15

SCAR: spectral clustering accelerated and robustified:

Hohma, Ellen ; Frey, Christian M. M. ; Beer, Anna.
Proceedings of the VLDB Endowment.  15 (2022)  11 - p. 3031-3044 , 2022
 
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