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ORCIDMiro Schleicher
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Journal Articles
- 2024
[j3]Miro Schleicher
, Petra Brüggemann, Benjamin Böcking, Uli Niemann, Birgit Mazurek, Myra Spiliopoulou:
Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction. Expert Syst. Appl. 239: 122336 (2024)- 2023
- [j2]Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artif. Intell. Medicine 142: 102575 (2023) - 2020
- [j1]Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou:
Active feature acquisition on data streams under feature drift. Ann. des Télécommunications 75(9-10): 597-611 (2020)
Conference and Workshop Papers
- 2024
- [c9]Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. CBMS 2024: 391-397 - 2023
- [c8]Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou:
A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. IDA 2023: 459-471 - 2022
- [c7]Miro Schleicher, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou:
When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps. AIME 2022: 310-320 - [c6]Miro Schleicher, Sebastian Hamacher, Mats Naujoks, Kolja Günther, Timo Schmidt, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data. CBMS 2022: 228-233 - [c5]Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users. DSAA 2022: 1-10 - 2021
- [c4]Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. CBMS 2021: 295-300 - [c3]Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou:
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. DSAA 2021: 1-10 - 2020
- [c2]Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from? DS 2020: 659-673 - 2017
- [c1]Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, Myra Spiliopoulou:
ICE: Interactive Classification Rule Exploration on Epidemiological Data. CBMS 2017: 606-611
Informal and Other Publications
- 2024
- [i1]Vishnu Unnikrishnan, Clara Puga, Miro Schleicher, Uli Niemann, Berthold Langguth, Stefan Schoisswohl, Birgit Mazurek, Rilana Cima, Jose Antonio Lopez-Escamez, Dimitrios Kikidis, Eleftheria Vellidou, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou:
Training and Validating a Treatment Recommender with Partial Verification Evidence. CoRR abs/2406.06654 (2024)
Coauthor Index
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