Predicting polarities of entity-centered documents without reading their contents. - Christian Beyer; Uli Niemann; Vishnu Unnikrishnan 002; Eirini Ntoutsi; Myra Spiliopoulou (SAC, 2018)

Assessing the Reliability of Crowdsourced Labels via Twitter. - Noor Jamaludeen; Vishnu Unnikrishnan 002; Maya S. Sekeran; Majed Ali; Le Anh Trang; Myra Spiliopoulou (LWDA, 2019)

Exploiting entity information for stream classification over a stream of reviews. - Christian Beyer; Vishnu Unnikrishnan 002; Uli Niemann; Pawel Matuszyk; Eirini Ntoutsi; Myra Spiliopoulou (SAC, 2019)

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from? - Vishnu Unnikrishnan 002; Yash Shah; Miro Schleicher; Mirela Strandzheva; Plamen Dimitrov; Doroteya Velikova; Rüdiger Pryss; Johannes Schobel; Winfried Schlee; Myra Spiliopoulou (DS, 2020)

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. - Abdullah Al Safi; Christian Beyer; Vishnu Unnikrishnan 002; Myra Spiliopoulou (IDA, 2020)

Assessing the Difficulty of Labelling an Instance in Crowdworking. - Neetha Jambigi; Tirtha Chanda; Vishnu Unnikrishnan 002; Myra Spiliopoulou (PKDD/ECML Workshops, 2020)

Active feature acquisition on data streams under feature drift. - Christian Beyer; Maik Büttner; Vishnu Unnikrishnan 002; Miro Schleicher; Eirini Ntoutsi; Myra Spiliopoulou (Ann. des Télécommunications, 2020)

Resource management for model learning at entity level. - Christian Beyer; Vishnu Unnikrishnan 002; Robert Brüggemann; Vincent Toulouse; Hafez Kader Omar; Eirini Ntoutsi; Myra Spiliopoulou (Ann. des Télécommunications, 2020)

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. - Vishnu Unnikrishnan 002; Christian Beyer; Pawel Matuszyk; Uli Niemann; Rüdiger Pryss; Winfried Schlee; Eirini Ntoutsi; Myra Spiliopoulou (Int. J. Data Sci. Anal., 2020)

Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. - Noor Jamaludeen; Vishnu Unnikrishnan 002; Rüdiger Pryss; Johannes Schobel; Winfried Schlee; Myra Spiliopoulou (CBMS, 2021)

User-centric vs whole-stream learning for EMA prediction. - Saijal Shahania; Vishnu Unnikrishnan 002; Rüdiger Pryss; Robin Kraft; Johannes Schobel; Ronny Hannemann; Winny Schlee; Myra Spiliopoulou (CBMS, 2021)

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. - Vishnu Unnikrishnan 002; Yash Shah; Miro Schleicher; Carlos Fernández-Viadero; Mirela Strandzheva; Doroteya Velikova; Plamen Dimitrov; Rüdiger Pryss; Johannes Schobel; Winfried Schlee; Myra Spiliopoulou (CBMS, 2021)

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. - Clara Puga; Uli Niemann; Vishnu Unnikrishnan 002; Miro Schleicher; Winfried Schlee; Myra Spiliopoulou (DSAA, 2021)

Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. - Subash Prakash; Vishnu Unnikrishnan 002; Rüdiger Pryss; Robin Kraft; Johannes Schobel; Ronny Hannemann; Berthold Langguth; Winfried Schlee; Myra Spiliopoulou (Entropy, 2021)

Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. - Noor Jamaludeen; Vishnu Unnikrishnan 002; André Brechmann; Myra Spiliopoulou (AIME, 2022)

Predicting Patient-Based Time-Dependent Mobile Health Data. - Anna Kleinau; Simon Flügel; Rüdiger Pryss; Carsten Vogel; Milena Engelke; Winfried Schlee; Vishnu Unnikrishnan 002; Myra Spiliopoulou (CBMS, 2023)

A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. - Vishnu Unnikrishnan 002; Miro Schleicher; Clara Puga; Rüdiger Pryss; Carsten Vogel; Winfried Schlee; Myra Spiliopoulou (IDA, 2023)

Prediction meets time series with gaps: User clusters with specific usage behavior patterns. - Miro Schleicher; Vishnu Unnikrishnan 002; Rüdiger Pryss; Johannes Schobel; Winfried Schlee; Myra Spiliopoulou (Artif. Intell. Medicine, 2023)

Training and Validating a Treatment Recommender with Partial Verification Evidence. - Vishnu Unnikrishnan 002; Clara Puga; Miro Schleicher; Uli Niemann; Berthold Langguth; Stefan Schoisswohl; Birgit Mazurek; Rilana Cima; Jose Antonio Lopez-Escamez; Dimitrios Kikidis; Eleftheria Vellidou; Rüdiger Pryss; et al. (CoRR, 2024)

Entity-centric machine learning: leveraging entity neighbourhoods for personalised predictors. - Vishnu Unnikrishnan 002 (2024)

Training and validating a treatment recommender with partial verification evidence. - Vishnu Unnikrishnan 002; Clara Puga; Miro Schleicher; Uli Niemann; Berthold Langguth; Stefan Schoisswohl; Birgit Mazurek; Rilana Cima; Jose Antonio Lopez-Escamez; Dimitris Kikidis; Eleftheria Vellidou; Rüdiger Pryss; et al. (Artif. Intell. Medicine, 2025)