Unnikrishnan, Vishnu


Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors. In Andreas K. Maier (Eds.), Frontiers in Neuroscience, (16)Frontiers Media SA, March 2022. URL


User-centric vs whole-stream learning for EMA prediction. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 307-312, June 2021.

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 1--10, IEEE, 2021. URL

Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. Progress in brain research, (260):441—451, 2021. URL

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 295-300, June 2021.

Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 354-359, 2021.

Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy, (23)122021. URL


Assessing the Difficulty of Labelling an Instance in Crowdworking.. 2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning@ ECML PKDD 2020, 2020.

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. In Michael R. Berthold, Ad Feelders, and Georg Krempl (Eds.), Advances in Intelligent Data Analysis XVIII, 1--13, Springer International Publishing, Cham, 2020. URL

Resource management for model learning at entity level. Annals of Telecommunications, Aug 29, 2020. URL

The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain Sciences, (10)122020. URL

Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring. Scientific Reports, (10)1Springer Science and Business Media LLC, December 2020. URL

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?. In Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, and Stan Matwin (Eds.), DS, (12323):659-673, Springer, 2020. URL

Active feature acquisition on data streams under feature drift. Annals of Telecommunications, Jul 8, 2020. URL


Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL

Exploiting Entity Information for Stream Classification over a Stream of Reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 564-573, ACM, 2019. URL

Assessing the reliability of crowdsourced labels via Twitter. Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", 2019. URL

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 2019. URL


Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.

Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 2018.

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