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Publication search results
found 41 matches
- 2024
- Heinrich Peters
, Joseph B. Bayer
, Sandra C. Matz, Yikun Chi
, Sumer S. Vaid, Gabriella M. Harari:
Social media use is predictable from app sequences: Using LSTM and transformer neural networks to model habitual behavior. Comput. Hum. Behav. 161: 108381 (2024) - Sven Weinzierl
, Sandra Zilker
, Sebastian Dunzer
, Martin Matzner
:
Machine learning in business process management: A systematic literature review. Expert Syst. Appl. 253: 124181 (2024) - Annina Liessmann, Sandra Zilker, Sven Weinzierl, Maria Sukhareva, Martin Matzner:
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models. HICSS 2024: 1488-1497 - Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker:
Context-aware Explanations of Accurate Predictions in Service Processes. HICSS 2024: 1498-1507 - Heinrich Peters, Joseph B. Bayer, Sandra C. Matz, Yikun Chi, Sumer S. Vaid, Gabriella M. Harari:
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior. CoRR abs/2404.16066 (2024) - Heinrich Peters, Moran Cerf, Sandra C. Matz:
Large Language Models Can Infer Personality from Free-Form User Interactions. CoRR abs/2405.13052 (2024) - Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner:
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis. CoRR abs/2405.13187 (2024) - Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner:
Machine learning in business process management: A systematic literature review. CoRR abs/2405.16396 (2024) - Sandra C. Matz, Heinrich Peters, Paul W. Eastwick, Moran Cerf, Eli J. Finkel:
Do Large Language Models Understand Verbal Indicators of Romantic Attraction? CoRR abs/2407.10989 (2024) - 2023
- Heinrich Peters
, Sandra C. Matz, Moran Cerf
:
Sensory substitution can improve decision-making. Comput. Hum. Behav. 146: 107797 (2023) - Sebastian Dunzer
, Willi Tang
, Nico Höchstädter, Sandra Zilker
, Martin Matzner
:
Design Principles for Using Business Process Management Systems. Business Process Management Workshops 2023: 217-228 - Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner:
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction. ECIS 2023 - Heinrich Peters, Sandra C. Matz:
Large Language Models Can Infer Psychological Dispositions of Social Media Users. CoRR abs/2309.08631 (2023) - Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten
, Sandra C. Matz, Maarten W. Bos:
Context-Aware Prediction of User Engagement on Online Social Platforms. CoRR abs/2310.14533 (2023) - Sofie Goethals, Sandra C. Matz, Foster J. Provost, Yanou Ramon, David Martens:
The Impact of Cloaking Digital Footprints on User Privacy and Personalization. CoRR abs/2312.15000 (2023) - 2022
- Lena M. Cabrera, Sven Weinzierl, Sandra Zilker, Martin Matzner:
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings. Business Process Management Workshops 2022: 303-314 - Sandra Zilker, Emanuel Marx, Matthias Stierle, Martin Matzner:
Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience. HICSS 2022: 1-10 - Salvatore Giorgi, Veronica E. Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz:
Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. ICWSM 2022: 228-240 - Sven Weinzierl, Christian Bartelheimer, Sandra Zilker, Daniel Beverungen, Martin Matzner:
A Method for Predicting Workarounds in Business Processes. PACIS 2022: 108 - 2021
- Natkamon Tovanich
, Simone Centellegher, Nacéra Bennacer Seghouani, Joe Gladstone, Sandra Matz, Bruno Lepri:
Inferring psychological traits from spending categories and dynamic consumption patterns. EPJ Data Sci. 10(1): 24 (2021) - Yanou Ramon
, R. A. Farrokhnia, Sandra C. Matz, David Martens:
Explainable AI for Psychological Profiling from Behavioral Data: An Application to Big Five Personality Predictions from Financial Transaction Records. Inf. 12(12): 518 (2021) - Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker:
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques. ECIS 2021 - Sven Weinzierl, Sebastian Dunzer, Johannes Christian Tenschert, Sandra Zilker, Martin Matzner:
Predictive Business Process Deviation Monitoring. ECIS 2021 - Sebastian Dunzer, Sandra Zilker, Emanuel Marx, Valentin Grundler, Martin Matzner:
The Status Quo of Process Mining in the Industrial Sector. Wirtschaftsinformatik 2021 - Yanou Ramon, Sandra C. Matz, R. A. Farrokhnia, David Martens:
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data. CoRR abs/2111.06908 (2021) - 2020
- Moran Cerf, Sandra C. Matz, Aviram Berg:
Using Blockchain to Improve Decision Making That Benefits the Public Good. Frontiers Blockchain 3: 13 (2020) - Sven Weinzierl
, Sebastian Dunzer
, Sandra Zilker
, Martin Matzner
:
Prescriptive Business Process Monitoring for Recommending Next Best Actions. BPM (Forum) 2020: 193-209 - Sven Weinzierl
, Sandra Zilker
, Jens Brunk
, Kate Revoredo
, Martin Matzner
, Jörg Becker
:
XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP. Business Process Management Workshops 2020: 129-141 - Sven Weinzierl, Matthias Stierle, Sandra Zilker, Martin Matzner:
A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs. HICSS 2020: 1-10 - Sven Weinzierl, Sandra Zilker, Matthias Stierle, Martin Matzner
, Gyunam Park
:
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events. Wirtschaftsinformatik (Zentrale Tracks) 2020: 364-368
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