E-LIB Suche - Ergebnisse für: Stuckenschmidt, Heiner

1

Exploring discrete representations in stochastic computatio..:

Friede, David , 2024

2

Artificial intelligence and machine learning in purchasing ..:

Spreitzenbarth, Jan Martin ; Bode, Christoph ; Stuckenschmidt, Heiner
Journal of Purchasing and Supply Management. 30 (2024) 1 - p. 100896 , 2024

Link: https://doi.org/10.1016/..

3

PGTNet: A Process Graph Transformer Network for Remaining T..:

, In: Advanced Information Systems Engineering; Lecture Notes in Computer Science,

Amiri Elyasi, Keyvan ; van der Aa, Han ; Stuckenschmidt, Heiner - p. 124-140 , 2024

Link: https://doi.org/10.1007/..

4

What Fairness Metrics Can Really Tell You: A Case Study in ..:

, In: Proceedings of the 14th Learning Analytics and Knowledge Conference,

Cohausz, Lea ; Kappenberger, Jakob ; Stuckenschmidt, Heiner - p. 792-799 , 2024

Link: https://dl.acm.org/doi/1..

5

Designing an AI purchasing requisition bundling generator:

Spreitzenbarth, Jan Martin ; Bode, Christoph ; Stuckenschmidt, Heiner
Computers in Industry. 155 (2024) - p. 104043 , 2024

Link: https://doi.org/10.1016/..

6

Evaluating the impact of different acoustic contexts on Ger..:

, In: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops),

Pandya, Darshit ; Stuckenschmidt, Heiner - p. 1-5 , 2024

Link: https://doi.org/10.1109/..

7

Explaining neural networks without access to training data:

Marton, Sascha ; Lüdtke, Stefan ; Bartelt, Christian..
Machine Learning. 113 (2024) 6 - p. 3633-3652 , 2024

Link: https://doi.org/10.1007/..

8

Sketch2Process: End-to-End BPMN Sketch Recognition Based on..:

Schäfer, Bernhard ; van der Aa, Han ; Leopold, Henrik.
IEEE Transactions on Software Engineering. 49 (2023) 4 - p. 2621-2641 , 2023

Link: https://doi.org/10.1109/..

9

Planning Landmark Based Goal Recognition Revisited: Does Us..:

, In: KI 2023: Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Wilken, Nils ; Cohausz, Lea ; Bartelt, Christian. - p. 231-244 , 2023

Link: https://doi.org/10.1007/..

10

Learning Disentangled Discrete Representations:

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

Friede, David ; Reimers, Christian ; Stuckenschmidt, Heiner. - p. 593-609 , 2023

Link: https://doi.org/10.1007/..

11

Comparing Apples and Oranges? On the Evaluation of Methods ..:

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

Gastinger, Julia ; Sztyler, Timo ; Sharma, Lokesh.. - p. 533-549 , 2023

Link: https://doi.org/10.1007/..

12

Daten vor Ort erleben: Eine Fallstudie zur Visualisierung d..:

Huber, Christoph ; Nagel, Till ; Stuckenschmidt, Heiner
KN - Journal of Cartography and Geographic Information. 73 (2023) 2 - p. 97-108 , 2023

Link: https://doi.org/10.1007/..

13

Activity Recommendation for Business Process Modeling with ..:

, In: The Semantic Web; Lecture Notes in Computer Science,

Sola, Diana ; van der Aa, Han ; Meilicke, Christian. - p. 316-334 , 2023

Link: https://doi.org/10.1007/..

14

Rule-based Knowledge Graph Completion with Canonical Models:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,

Ott, Simon ; Betz, Patrick ; Stepanova, Daria... - p. 1971-1981 , 2023

Link: https://dl.acm.org/doi/1..

15

Outlying Aspect Mining via Sum-Product Networks:

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

Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner - p. 27-38 , 2023

Link: https://doi.org/10.1007/..