KNOWLEDGE MANAGEMENT

AND DISCOVERY LAB

2024

Vishnu Mazhuvancherry Unnikrishnan, and Myra Spiliopoulou. Entity-centric machine learning: leveraging entity neighborhoods for personalized predictors. 2024.

2023

Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, and Myra Spiliopoulou. Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artificial Intelligence in Medicine, 102575, Elsevier BV, May 2023. URL

2022

Clara Puga, Miro Schleicher, Uli Niemann, Vishnu Unnikrishnan, Benjamin Boecking, Petra Brueggemann, Jorge Simoes, Berthold Langguth, Winfried Schlee, Birgit Mazurek, and Myra Spiliopoulou. Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors. In Andreas K. Maier (Eds.), Frontiers in Neuroscience, (16)Frontiers Media SA, March 2022. URL

Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, and Myra Spiliopoulou. Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. International Conference on Artificial Intelligence in Medicine, 200--209, 2022.

2021

Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, and Myra Spiliopoulou. User-centric vs whole-stream learning for EMA prediction. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 307-312, June 2021.

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

Winfried Schlee, Stefan Schoisswohl, Susanne Staudinger, Axel Schiller, Astrid Lehner, Berthold Langguth, Martin Schecklmann, Jorge Simoes, Patrick Neff, Steven C Marcrum, Myra Spiliopoulou, Uli Niemann, Miro Schleicher, Vishnu Unnikrishnan, Clara Puga, Lena Mulansky, Ruediger Pryss, Carsten Vogel, Johannes Allgaier, Efi Giannopoulou, Katalin Birki, Klairi Liakou, Rilana Cima, Johan W S Vlaeyen, Nicolas Verhaert, Saskia Ranson, Birgit Mazurek, Petra Brueggemann, Benjamin Boecking, Nyamaa Amarjargal, Sandy Specht, Alexandra Stege, Michael Hummel, Matthias Rose, Kevin Oppel, Juliane Dettling-Papargyris, Jose Antonio Lopez-Escamez, Sana Amanat, Alvaro Gallego-Martinez, Alba Escalera-Balsera, Juan Manuel Espinosa-Sanchez, Juan Garcia-Valdecasas, Maria Mata-Ferron, Juan Martin-Lagos, Maria Martinez-Martinez, María Jesús Martinez-Martinez, Nicolas Müller-Locatelli, Patricia Perez-Carpena, Jorge Alcazar-Beltran, Leyre Hidalgo-Lopez, Eleftheria Vellidou, Michalis Sarafidis, Panagiotis Katrakazas, Vassileia Kostaridou, Dimitris Koutsouris, Rano Manta, Evangelos Paraskevopoulos, Maria Haritou, Ana Belén Elgoyhen, Hazel Goedhart, Michael Koller, Giriraj Singh Shekhawat, Holger Crump, Ronny Hannemann, Marc Holfelder, Timon Oberholzer, Apostolos Vontas, Ilias Trochidis, Vicky Moumtzi, Christopher R Cederroth, Konstantina Koloutsou, George Spanoudakis, Ioannis Basdekis, Silvano Gallus, Alessandra Lugo, Chiara Stival, Elisa Borroni, Nikolaos Markatos, Athanasios Bibas, and Dimitris Kikidis. 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

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

Noor Jamaludeen, Vishnu Unnikrishnan, Ruediger Pryss, Johannes Schobel, Winfried Schlee, and Myra Spiliopoulou. 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.

Subash Prakash, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Berthold Langguth, Winfried Schlee, and Myra Spiliopoulou. Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy, (23)122021. URL

2020

Neetha Jambigi, Tirtha Chanda, Vishnu Unnikrishnan, and Myra Spiliopoulou. 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.

Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, and Myra Spiliopoulou. 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

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, and Myra Spiliopoulou. Resource management for model learning at entity level. Annals of Telecommunications, Aug 29, 2020. URL

Vishnu Unnikrishnan, Miro Schleicher, Yash Shah, Noor Jamaludeen, Ruediger Pryss, Johannes Schobel, Robin Kraft, Winfried Schlee, and Myra Spiliopoulou. The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain Sciences, (10)122020. URL

Miro Schleicher, Vishnu Unnikrishnan, Patrick Neff, Jorge Simoes, Thomas Probst, Rüdiger Pryss, Winfried Schlee, and Myra Spiliopoulou. 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

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

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, and Myra Spiliopoulou. Active feature acquisition on data streams under feature drift. Annals of Telecommunications, Jul 8, 2020. URL

2019

Ranjith Shivakumaraswamy, Christian Beyer, Vishnu Unnikrishnan, Eirini Ntoutsi, and Myra Spiliopoulou. Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL

Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, and Myra Spiliopoulou. 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

Noor Jamaludeen, Vishnu Unnikrishnan, Maya S Sekeran, Majed Ali, Le Anh Trang, and Myra Spiliopoulou. Assessing the reliability of crowdsourced labels via Twitter. Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", 2019. URL

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, and Myra Spiliopoulou. 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

2018

Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, and Myra Spiliopoulou. Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Ruediger Pryss, Winfried Schlee, Eirini Ntoutsi, and Myra Spiliopoulou. Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 2018.