Miro Schleicher

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Medical Decision Support

User Engagement

Outcome Prediction

Exponential Smoothing

Top Venues

Artif. Intell. Medicine

Ann. des Télécommunications

Publications

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 (2024)
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 (2024)
Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. CBMS (2024)
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 (2023)
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)
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)
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)
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)
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)
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)
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)
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) (2020)
Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, Myra Spiliopoulou
ICE: Interactive Classification Rule Exploration on Epidemiological Data. CBMS (2017)