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

Por Abolfazli, Amir, Brechmann, André, Wolff, Susann, Spiliopoulou, Myra
Publicado no Sci Rep (2020)

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

Por European Conference on Machine Learning, Fürnkranz, Johannes., Scheffer, Tobias., Spiliopoulou, Myra.
Publicado em 2006

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

Por Niemann, Uli, Brueggemann, Petra, Boecking, Benjamin, Mazurek, Birgit, Spiliopoulou, Myra
Publicado no Sci Rep (2020)

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

Por Niemann, Uli, Boecking, Benjamin, Brueggemann, Petra, Mazurek, Birgit, Spiliopoulou, Myra
Publicado no 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-...

Por Spiliopoulou, Myra, Kruse, Rudolf, Borgelt, Christian, Nürnberger, Andreas, Gaul, Wolfgang A.
Publicado em 2006

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

Por Niemann, Uli, Boecking, Benjamin, Brueggemann, Petra, Mebus, Wilhelm, Mazurek, Birgit, Spiliopoulou, Myra
Publicado no PLoS One (2020)

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...

Por European conference on principles and practice of knowledge discovery in databases, Fürnkranz, Johannes., Scheffer, Tobias., Spiliopoulou, Myra.
Publicado em 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...

Por International Conference on Applications of Natural Language to Information Systems, Kapetanios, Epaminondas., Sugumaran, Vijayan, Spiliopoulou, Myra.
Publicado em c200

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

Por Siddiqui, Zaigham Faraz, Krempl, Georg, Spiliopoulou, Myra, Peña, Jose M., Paul, Nuria, Maestu, Fernando
Publicado no Brain Inform (2015)

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

Por Hoppenstedt, Burkhard, Reichert, Manfred, Kammerer, Klaus, Probst, Thomas, Schlee, Winfried, Spiliopoulou, Myra, Pryss, Rüdiger
Publicado no Sensors (Basel) (2019)

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

Por Niemann, Uli, Brueggemann, Petra, Boecking, Benjamin, Mebus, Wilhelm, Rose, Matthias, Spiliopoulou, Myra, Mazurek, Birgit
Publicado no Sci Rep (2020)

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

Por Kalle, Sven, Schlee, Winfried, Pryss, Rüdiger C., Probst, Thomas, Reichert, Manfred, Langguth, Berthold, Spiliopoulou, Myra
Publicado no 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...

Por Pryss, Rüdiger, Schlee, Winfried, Hoppenstedt, Burkhard, Reichert, Manfred, Spiliopoulou, Myra, Langguth, Berthold, Breitmayer, Marius, Probst, Thomas
Publicado no J Med Internet Res (2020)

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

Por Schleicher, Miro, Unnikrishnan, Vishnu, Neff, Patrick, Simoes, Jorge, Probst, Thomas, Pryss, Rüdiger, Schlee, Winfried, Spiliopoulou, Myra
Publicado no Sci Rep (2020)

Knowledge discovery enhanced with semantic and social information

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

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

Por Unnikrishnan, Vishnu, Schleicher, Miro, Shah, Yash, Jamaludeen, Noor, Pryss, Ruediger, Schobel, Johannes, Kraft, Robin, Schlee, Winfried, Spiliopoulou, Myra
Publicado no Brain Sci (2020)

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

Por Probst, Thomas, Pryss, Rüdiger C., Langguth, Berthold, Rauschecker, Josef P., Schobel, Johannes, Reichert, Manfred, Spiliopoulou, Myra, Schlee, Winfried, Zimmermann, Johannes
Publicado no Front Aging Neurosci (2017)

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

Por Kraft, Robin, Birk, Ferdinand, Reichert, Manfred, Deshpande, Aniruddha, Schlee, Winfried, Langguth, Berthold, Baumeister, Harald, Probst, Thomas, Spiliopoulou, Myra, Pryss, Rüdiger
Publicado no Sensors (Basel) (2020)

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

Por Unnikrishnan, Vishnu, Shah, Yash, Schleicher, Miro, Strandzheva, Mirela, Dimitrov, Plamen, Velikova, Doroteya, Pryss, Ruediger, Schobel, Johannes, Schlee, Winfried, Spiliopoulou, Myra
Publicado no Discovery Science (2020)

Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy

Por Niemann, Uli, Spiliopoulou, Myra, Malanowski, Jan, Kellersmann, Juliane, Szczepanski, Thorsten, Klose, Silke, Dedonaki, Eirini, Walter, Isabell, Ming, Antao, Mertens, Peter R.
Publicado no EBioMedicine (2020)