Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment

von Abolfazli, Amir, Brechmann, André, Wolff, Susann, Spiliopoulou, Myra
Veröffentlicht in Sci Rep (2020)

Machine learning: ECML 2006 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006: proceedings /

von European Conference on Machine Learning, Fürnkranz, Johannes., Scheffer, Tobias., Spiliopoulou, Myra.
Veröffentlicht 2006

Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics

von Niemann, Uli, Brueggemann, Petra, Boecking, Benjamin, Mazurek, Birgit, Spiliopoulou, Myra
Veröffentlicht in Sci Rep (2020)

Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects

von Niemann, Uli, Boecking, Benjamin, Brueggemann, Petra, Mazurek, Birgit, Spiliopoulou, Myra
Veröffentlicht in Front Neurosci (2020)

From data and information analysis to knowledge engineering Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-...

von Spiliopoulou, Myra, Kruse, Rudolf, Borgelt, Christian, Nürnberger, Andreas, Gaul, Wolfgang A.
Veröffentlicht 2006.

Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables

von Niemann, Uli, Boecking, Benjamin, Brueggemann, Petra, Mebus, Wilhelm, Mazurek, Birgit, Spiliopoulou, Myra
Veröffentlicht in PLoS One (2020)

Editorial: Smart Mobile Data Collection in the Context of Neuroscience

von Pryss, Rüdiger, Langguth, Berthold, Probst, Thomas, Schlee, Winfried, Spiliopoulou, Myra, Reichert, Manfred
Veröffentlicht in Front Neurosci (2021)

Assessing the difficulty of annotating medical data in crowdworking with help of experiments

von Rother, Anne, Niemann, Uli, Hielscher, Tommy, Völzke, Henry, Ittermann, Till, Spiliopoulou, Myra
Veröffentlicht in PLoS One (2021)

Knowledge discovery in databases: PKDD 2006 10th European conference on principles and practice of knowledge discovery in databases, Berlin, Germany, September 18-22, 2006, proceed...

von European conference on principles and practice of knowledge discovery in databases, Fürnkranz, Johannes., Scheffer, Tobias., Spiliopoulou, Myra.
Veröffentlicht 2006

Natural language and information systems 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, London, UK, June 24-27, 2008 : proceed...

von International Conference on Applications of Natural Language to Information Systems, Kapetanios, Epaminondas., Sugumaran, Vijayan, Spiliopoulou, Myra.
Veröffentlicht c200

Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)

von Siddiqui, Zaigham Faraz, Krempl, Georg, Spiliopoulou, Myra, Peña, Jose M., Paul, Nuria, Maestu, Fernando
Veröffentlicht in Brain Inform (2015)

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data †

von Hoppenstedt, Burkhard, Reichert, Manfred, Kammerer, Klaus, Probst, Thomas, Schlee, Winfried, Spiliopoulou, Myra, Pryss, Rüdiger
Veröffentlicht in Sensors (Basel) (2019)

Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison

von Niemann, Uli, Brueggemann, Petra, Boecking, Benjamin, Mebus, Wilhelm, Rose, Matthias, Spiliopoulou, Myra, Mazurek, Birgit
Veröffentlicht in Sci Rep (2020)

Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments

von Kalle, Sven, Schlee, Winfried, Pryss, Rüdiger C., Probst, Thomas, Reichert, Manfred, Langguth, Berthold, Spiliopoulou, Myra
Veröffentlicht in Front Neurosci (2018)

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitud...

von Pryss, Rüdiger, Schlee, Winfried, Hoppenstedt, Burkhard, Reichert, Manfred, Spiliopoulou, Myra, Langguth, Berthold, Breitmayer, Marius, Probst, Thomas
Veröffentlicht in J Med Internet Res (2020)

Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring

von Schleicher, Miro, Unnikrishnan, Vishnu, Neff, Patrick, Simoes, Jorge, Probst, Thomas, Pryss, Rüdiger, Schlee, Winfried, Spiliopoulou, Myra
Veröffentlicht in Sci Rep (2020)

Knowledge discovery enhanced with semantic and social information

von Berendt, Bettina., Mladenic, Dunja., Gemmis, Marco de, Semeraro, Giovanni., Spiliopoulou, Myra., Stumme, Gerd., Svatek, Vojtech., Zelezný, Filip.
Veröffentlicht 2009

The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications

von Unnikrishnan, Vishnu, Schleicher, Miro, Shah, Yash, Jamaludeen, Noor, Pryss, Ruediger, Schobel, Johannes, Kraft, Robin, Schlee, Winfried, Spiliopoulou, Myra
Veröffentlicht in Brain Sci (2020)

Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the “TrackYourTinnitus” Application

von Probst, Thomas, Pryss, Rüdiger C., Langguth, Berthold, Rauschecker, Josef P., Schobel, Johannes, Reichert, Manfred, Spiliopoulou, Myra, Schlee, Winfried, Zimmermann, Johannes
Veröffentlicht in Front Aging Neurosci (2017)

Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform †

von Kraft, Robin, Birk, Ferdinand, Reichert, Manfred, Deshpande, Aniruddha, Schlee, Winfried, Langguth, Berthold, Baumeister, Harald, Probst, Thomas, Spiliopoulou, Myra, Pryss, Rüdiger
Veröffentlicht in Sensors (Basel) (2020)