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Weinzierl, Sven
51  Ergebnisse:
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1

A machine learning framework for interpretable predictions ..:

Zilker, Sandra ; Weinzierl, Sven ; Kraus, Mathias..
Health Care Management Science.  27 (2024)  2 - p. 136-167 , 2024
Link: https://doi.org/10.1007/..
 
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2

Machine learning in business process management: A systemat..:

Weinzierl, Sven ; Zilker, Sandra ; Dunzer, Sebastian.
Expert Systems with Applications.  253 (2024)  - p. 124181 , 2024
Link: https://doi.org/10.1016/..
 
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3

Interpretable generalized additive neural networks:

Kraus, Mathias ; Tschernutter, Daniel ; Weinzierl, Sven.
European Journal of Operational Research.  317 (2024)  2 - p. 303-316 , 2024
Link: https://doi.org/10.1016/..
 
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4

Predictive Recommining: Learning Relations Between Event Lo..:

, In: Lecture Notes in Business Information Processing; Intelligent Information Systems,
Drodt, Christoph ; Weinzierl, Sven ; Matzner, Martin. - p. 69-76 , 2023
Link: https://doi.org/10.1007/..
 
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5

Text-Aware Predictive Process Monitoring with Contextualize..:

, In: Business Process Management Workshops; Lecture Notes in Business Information Processing,
Cabrera, Lena ; Weinzierl, Sven ; Zilker, Sandra. - p. 303-314 , 2023
Link: https://doi.org/10.1007/..
 
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6

Predictive End-to-End Enterprise Process Network Monitoring:

Oberdorf, Felix ; Schaschek, Myriam ; Weinzierl, Sven...
Business & Information Systems Engineering.  65 (2022)  1 - p. 49-64 , 2022
Link: https://doi.org/10.1007/..
 
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7

Exploring Gated Graph Sequence Neural Networks for Predicti..:

, In: Business Process Management Workshops; Lecture Notes in Business Information Processing,
Weinzierl, Sven - p. 30-42 , 2022
Link: https://doi.org/10.1007/..
 
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8

Detecting temporal workarounds in business processes – A de..:

Weinzierl, Sven ; Wolf, Verena ; Pauli, Tobias..
Journal of Business Analytics.  5 (2021)  1 - p. 76-100 , 2021
Link: https://doi.org/10.1080/..
 
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9

A technique for determining relevance scores of process act..:

Stierle, Matthias ; Weinzierl, Sven ; Harl, Maximilian.
Decision Support Systems.  144 (2021)  - p. 113511 , 2021
Link: https://doi.org/10.1016/..
 
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10

Time Matters: Time-Aware LSTMs for Predictive Business Proc..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
Nguyen, An ; Chatterjee, Srijeet ; Weinzierl, Sven... - p. 112-123 , 2021
Link: https://doi.org/10.1007/..
 
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11

Explainable predictive business process monitoring using ga..:

Harl, Maximilian ; Weinzierl, Sven ; Stierle, Mathias.
Journal of Decision Systems.  29 (2020)  sup1 - p. 312-327 , 2020
Link: https://doi.org/10.1080/..
 
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12

Exploring the effect of context information on deep learnin..:

Brunk, Jens ; Stottmeister, Johannes ; Weinzierl, Sven..
Journal of Decision Systems.  29 (2020)  sup1 - p. 328-343 , 2020
Link: https://doi.org/10.1080/..
 
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13

Prescriptive Business Process Monitoring for Recommending N..:

, In: Lecture Notes in Business Information Processing; Business Process Management Forum,
Weinzierl, Sven ; Dunzer, Sebastian ; Zilker, Sandra. - p. 193-209 , 2020
Link: https://doi.org/10.1007/..
 
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14

XNAP: Making LSTM-Based Next Activity Predictions Explainab..:

, In: Business Process Management Workshops; Lecture Notes in Business Information Processing,
Weinzierl, Sven ; Zilker, Sandra ; Brunk, Jens... - p. 129-141 , 2020
Link: https://doi.org/10.1007/..
 
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15

Context-aware Explanations of Accurate Predictions in Servi..:

Weinzierl, Sven ; Zilker, Sandra ; Brunk, Jens...
Proceedings of the 57th Hawaii International Conference on System Sciences.  , 2024
Link: https://hdl.handle.net/1..
 
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