Miro Schleicher

According to our database, Miro Schleicher authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Training and validating a treatment recommender with partial verification evidence.

Vishnu Unnikrishnan, Clara Puga, Miro Schleicher, Uli Niemann, Berthold Langguth, Stefan Schoisswohl, Birgit Mazurek, Rilana Cima, Jose Antonio Lopez-Escamez, Dimitris Kikidis, Eleftheria Vellidou, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou

Artif. Intell. Medicine, 2025

2024

Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction.

Miro Schleicher, Petra Brüggemann, Benjamin Böcking, Uli Niemann, Birgit Mazurek, Myra Spiliopoulou

Expert Syst. Appl., 2024

Training and Validating a Treatment Recommender with Partial Verification Evidence.

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

CoRR, 2024

Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches.

Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

Prediction meets time series with gaps: User clusters with specific usage behavior patterns.

Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Artif. Intell. Medicine, August, 2023

A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data.

Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022

Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users.

Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data.

Miro Schleicher, Sebastian Hamacher, Mats Naujoks, Kolja Günther, Timo Schmidt, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps.

Miro Schleicher, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus.

Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.

Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Active feature acquisition on data streams under feature drift.

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the Discovery Science - 23rd International Conference, 2020

2017

ICE: Interactive Classification Rule Exploration on Epidemiological Data.

Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, Myra Spiliopoulou

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017