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Schlee, Winfried
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1

The Future of Tinnitus Research: "In Crazy We Believe, in S..:

, In: Textbook of Tinnitus,
De Ridder, Dirk ; Vanneste, Sven ; Møller, Aage R.... - p. 781-786 , 2024
Link: https://doi.org/10.1007/..
 
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2

Epidemiology of Tinnitus: Frequency of the Condition:

, In: Textbook of Tinnitus,
Jarach, Carlotta M. ; Lugo, Alessandra ; Scala, Marco... - p. 35-47 , 2024
Link: https://doi.org/10.1007/..
 
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3

Mobile Health Solutions for Tinnitus:

, In: Textbook of Tinnitus,
Mehdi, Muntazir ; Hauck, Franz J. ; Pryss, Ruediger. - p. 731-738 , 2024
Link: https://doi.org/10.1007/..
 
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4

Predicting User Engagement in mHealth Apps with Neighborhoo..:

, In: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS),
Schleicher, Miro ; Pryss, Rudiger ; Schobel, Johannes.. - p. 391-397 , 2024
Link: https://doi.org/10.1109/..
 
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5

Tinnitus Treatment: Evidence and Guidelines:

, In: Textbook of Tinnitus,
Langguth, Berthold ; Kleinjung, Tobias ; Schlee, Winfried.. - p. 763-778 , 2024
Link: https://doi.org/10.1007/..
 
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6

Follow-Up Evaluation to Explore Disparities Between Android..:

, In: 2023 International Conference on Computational Science and Computational Intelligence (CSCI),
Winter, Michael ; Schlee, Winfried ; Probst, Thomas.. - p. 1493-1497 , 2023
Link: https://doi.org/10.1109/..
 
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7

A Similarity-Guided Framework for Error-Driven Discovery of..:

, In: Advances in Intelligent Data Analysis XXI; Lecture Notes in Computer Science,
Unnikrishnan, Vishnu ; Schleicher, Miro ; Puga, Clara... - p. 459-471 , 2023
Link: https://doi.org/10.1007/..
 
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8

Predicting Patient-Based Time-Dependent Mobile Health Data:

, In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS),
Kleinau, Anna ; Flugel, Simon ; Pryss, Rudiger... - p. 79-84 , 2023
Link: https://doi.org/10.1109/..
 
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9

Free Technical Solutions for Ecological Momentary Assessmen..:

, In: 2022 International Conference on Computational Science and Computational Intelligence (CSCI),
Stach, Michael ; Reichert, Manfred ; Prasser, Fabian... - p. 1778-1781 , 2022
Link: https://doi.org/10.1109/..
 
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10

Expect the gap: A recommender approach to estimate the abse..:

, In: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA),
Schleicher, Miro ; Pryss, Ruediger ; Schobel, Johannes.. - p. 1-10 , 2022
Link: https://doi.org/10.1109/..
 
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11

Using Chatbots to Support Medical and Psychological Treatme..:

, In: Studies in Neuroscience, Psychology and Behavioral Economics; Digital Phenotyping and Mobile Sensing,
Pryss, Rüdiger ; Kraft, Robin ; Baumeister, Harald... - p. 335-346 , 2022
Link: https://doi.org/10.1007/..
 
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12

Momentary Assessment of Tinnitus—How Smart Mobile Applicati..:

, In: Studies in Neuroscience, Psychology and Behavioral Economics; Digital Phenotyping and Mobile Sensing,
Schlee, Winfried ; Kraft, Robin ; Schobel, Johannes... - p. 285-303 , 2022
Link: https://doi.org/10.1007/..
 
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13

When Can I Expect the mHealth User to Return? Prediction Me..:

, In: Artificial Intelligence in Medicine; Lecture Notes in Computer Science,
Schleicher, Miro ; Pryss, Rüdiger ; Schlee, Winfried. - p. 310-320 , 2022
Link: https://doi.org/10.1007/..
 
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14

Prediction of declining engagement to self-monitoring apps ..:

, In: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS),
Schleicher, Miro ; Hamacher, Sebastian ; Naujoks, Mats... - p. 228-233 , 2022
Link: https://doi.org/10.1109/..
 
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15

Predicting the optimal therapeutic intervention for tinnitu..:

, In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),
Bromis, Konstantinos ; Sarafidis, Michail ; Manta, Ourania... - p. 2655-2658 , 2022
Link: https://doi.org/10.1109/..
 
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