Vishnu Unnikrishnan

According to our database, Vishnu Unnikrishnan authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Entity-centric machine learning: leveraging entity neighbourhoods for personalised predictors.

Vishnu Unnikrishnan

PhD thesis, 2024

Training and Validating a Treatment Recommender with Partial Verification Evidence.

Vishnu Unnikrishnan, Clara Puga, Miro Schleicher, Uli Niemann, Berthold Langguth, Stefan Schoisswohl, Birgit Mazurek, Rilana Cima, Jose Antonio Lopez-Escamez, Dimitrios Kikidis, Eleftheria Vellidou, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou

CoRR, 2024

2023

Prediction meets time series with gaps: User clusters with specific usage behavior patterns.

Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Artif. Intell. Medicine, August, 2023

A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data.

Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Predicting Patient-Based Time-Dependent Mobile Health Data.

Anna Kleinau, Simon Flügel, Rüdiger Pryss, Carsten Vogel, Milena Engelke, Winfried Schlee, Vishnu Unnikrishnan, Myra Spiliopoulou

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data.

Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.

Subash Prakash, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Berthold Langguth, Winfried Schlee, Myra Spiliopoulou

Entropy, 2021

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus.

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

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.

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

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

User-centric vs whole-stream learning for EMA prediction.

Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, Myra Spiliopoulou

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App.

Noor Jamaludeen, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.

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

Int. J. Data Sci. Anal., 2020

Resource management for model learning at entity level.

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Active feature acquisition on data streams under feature drift.

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Assessing the Difficulty of Labelling an Instance in Crowdworking.

Neetha Jambigi, Tirtha Chanda, Vishnu Unnikrishnan, Myra Spiliopoulou

Proceedings of the ECML PKDD 2020 Workshops, 2020

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder.

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

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

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

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

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Exploiting entity information for stream classification over a stream of reviews.

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

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Assessing the Reliability of Crowdsourced Labels via Twitter.

Noor Jamaludeen, Vishnu Unnikrishnan, Maya S. Sekeran, Majed Ali, Le Anh Trang, Myra Spiliopoulou

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

2018

Predicting polarities of entity-centered documents without reading their contents.

Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018