Myra Spiliopoulou

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 109

Top Venues

Publications

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
Training and Validating a Treatment Recommender with Partial Verification Evidence. CoRR (2024)
Miro Schleicher, Petra Brüggemann, Benjamin Böcking, Uli Niemann, Birgit Mazurek, Myra Spiliopoulou
Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction. Expert Syst. Appl. 239 (2024)
Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. CBMS (2024)
Anne Rother, Gunther Notni, Alexander Hasse, Benjamin Noack, Christian Beyer, Jan Reißmann, Chen Zhang, Marco Ragni, Julia C. Arlinghaus, Myra Spiliopoulou
Productive teaming under uncertainty: when a human and a machine classify objects together. ARSO (2023)
Lars T. Boenke, Abdelhafid Zeghbib, Myra Spiliopoulou, David Alais, Frank W. Ohl
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks. Frontiers Comput. Neurosci. 17 (2023)
Noor Jamaludeen, Felix Kuhn, André Brechmann, Falko Fuhrmann, Stefan Remy, Myra Spiliopoulou
Inferring Salient Motifs during Learning Experiments. CBMS (2023)
Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artif. Intell. Medicine 142 (2023)
Saijal Shahania, Myra Spiliopoulou, David Broneske
WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. iiWAS (2023)
Martin Justinus Rosenfelder, Myra Spiliopoulou, Burkhard Hoppenstedt, Rüdiger Pryss, Patrick Fissler, Mario della Piedra Walter, Iris-Tatjana Kolassa, Andreas Bender
Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing. Frontiers Comput. Neurosci. 17 (2023)
Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou
A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. IDA (2023)
Maik Büttner, Christian Beyer, Myra Spiliopoulou
Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. DS (2023)
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series. Neural Comput. Appl. 35 (14) (2023)
Christian Beyer, Maik Büttner, Myra Spiliopoulou
Challenges for Active Feature Acquisition and Imputation on Data Streams. IAL@PKDD/ECML (2023)
Anna Kleinau, Simon Flügel, Rüdiger Pryss, Carsten Vogel, Milena Engelke, Winfried Schlee, Vishnu Unnikrishnan, Myra Spiliopoulou
Predicting Patient-Based Time-Dependent Mobile Health Data. CBMS (2023)
Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou
Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. AIME (2022)
Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users. DSAA (2022)
Noor Jamaludeen, Juliane Lehmann, Christian Beyer, Katrin Vogel, Mandy Pierau, Monika Brunner-Weinzierl, Myra Spiliopoulou
Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches. Sensors 22 (24) (2022)
Miro Schleicher, Sebastian Hamacher, Mats Naujoks, Kolja Günther, Timo Schmidt, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data. CBMS (2022)
Anne Rother, Myra Spiliopoulou
Virtual Reality for Medical Annotation Tasks: A Systematic Review. Frontiers Virtual Real. 3 (2022)
Clara Puga, Uli Niemann, Winfried Schlee, Myra Spiliopoulou
A cost-based multi-layer network approach for the discovery of patient phenotypes. CoRR (2022)
Frank Dreyer, Jannik Greif, Kolja Günther, Myra Spiliopoulou, Uli Niemann
Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence. DS (2022)
Miro Schleicher, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou
When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps. AIME (2022)
Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, Monique Meuschke
Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. CBMS (2022)
Maik Büttner, Christian Beyer, Myra Spiliopoulou
Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition. DSAA (2022)
Subash Prakash, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Berthold Langguth, Winfried Schlee, Myra Spiliopoulou
Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy 23 (12) (2021)
Noor Jamaludeen, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. CBMS (2021)
Rafi Trad, Myra Spiliopoulou
Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus Outbreak. CBMS (2021)
Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, Myra Spiliopoulou
User-centric vs whole-stream learning for EMA prediction. CBMS (2021)
Rafi Trad, Myra Spiliopoulou
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. IDA (2021)
Noor Jamaludeen, Christian Beyer, Ulrike Billing, Katrin Vogel, Monika Brunner-Weinzierl, Myra Spiliopoulou
Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis. Sensors 21 (15) (2021)
Rafi Trad, Myra Spiliopoulou
LAC: Latent Authorial Clustering of shorter texts. Softw. Impacts 10 (2021)
Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. CBMS (2021)
Myra Spiliopoulou, Panagiotis Papapetrou
Guest editorial: Special issue on mining for health. Data Min. Knowl. Discov. 35 (4) (2021)
Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. DSAA (2021)
Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick
Probabilistic Active Learning for Active Class Selection. CoRR (2021)
Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. Int. J. Data Sci. Anal. 9 (1) (2020)
Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from? DS (2020)
Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, Monique Meuschke
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data. CoRR (2020)
Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou
Resource management for model learning at entity level. Ann. des Télécommunications 75 (9-10) (2020)
Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou
Active feature acquisition on data streams under feature drift. Ann. des Télécommunications 75 (9-10) (2020)
Neetha Jambigi, Tirtha Chanda, Vishnu Unnikrishnan, Myra Spiliopoulou
Assessing the Difficulty of Labelling an Instance in Crowdworking. PKDD/ECML Workshops (2020)
Rafi Trad, Myra Spiliopoulou
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. CoRR (2020)
Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, Katja Bühler, Bernhard Preim
Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Comput. Graph. Forum 39 (1) (2020)
Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. IDA (2020)
Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rüdiger Pryss
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform. Sensors 20 (12) (2020)
Burkhard Hoppenstedt, Klaus Kammerer, Manfred Reichert, Myra Spiliopoulou, Rüdiger Pryss
Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling. AVR (2) (2019)
Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou
Exploiting entity information for stream classification over a stream of reviews. SAC (2019)
Rüdiger Pryss, Thomas Probst, Winfried Schlee, Johannes Schobel, Berthold Langguth, Patrick Neff, Myra Spiliopoulou, Manfred Reichert
Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform. Int. J. Data Sci. Anal. 8 (4) (2019)
Rüdiger Pryss, Dennis John, Manfred Reichert, Burkhard Hoppenstedt, Lukas Schmid, Winfried Schlee, Myra Spiliopoulou, Johannes Schobel, Robin Kraft, Marc Schickler, Berthold Langguth, Thomas Probst
Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform. IRI (2019)
Burkhard Hoppenstedt, Thomas Probst, Manfred Reichert, Winfried Schlee, Klaus Kammerer, Myra Spiliopoulou, Johannes Schobel, Michael Winter, Anna Felnhofer, Oswald D. Kothgassner, Rüdiger Pryss
Applicability of Immersive Analytics in Mixed Reality: Usability Study. IEEE Access 7 (2019)
Bernhard Preim, Shiva Alemzadeh, Till Ittermann, Paul Klemm, Uli Niemann, Myra Spiliopoulou
Visual Analytics for Epidemiology. Eurographics (Dirk Bartz Prize) (2019)
Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rüdiger Pryss
Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients. CBMS (2019)
Rüdiger Pryss, Winfried Schlee, Manfred Reichert, Ira Kurthen, Nathalie Giroud, Laura Jagoda, Pia Neuschwander, Martin Meyer, Patrick Neff, Johannes Schobel, Burkhard Hoppenstedt, Myra Spiliopoulou, Berthold Langguth, Thomas Probst
Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform. EMBC (2019)
Burkhard Hoppenstedt, Manfred Reichert, Klaus Kammerer, Thomas Probst, Winfried Schlee, Myra Spiliopoulou, Rüdiger Pryss
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. Sensors 19 (18) (2019)
Burkhard Hoppenstedt, Manfred Reichert, Klaus Kammerer, Myra Spiliopoulou, Rüdiger Pryss
Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings. EDBT/ICDT Workshops (2019)
Noor Jamaludeen, Vishnu Unnikrishnan, Maya S. Sekeran, Majed Ali, Le Anh Trang, Myra Spiliopoulou
Assessing the Reliability of Crowdsourced Labels via Twitter. LWDA (2019)
Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi
A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction. MASTER@PKDD/ECML (2019)
Alejandro Rodríguez González, Athena Vakali, Miguel Angel Mayer, Takashi Okumura, Ernestina Menasalvas Ruiz, Myra Spiliopoulou
Introduction to the special issue on social data analytics in medicine and healthcare. Int. J. Data Sci. Anal. 8 (4) (2019)
Myra Spiliopoulou, Panagiotis Papapetrou
Mining and Model Understanding on Medical Data. KDD (2019)
Paras Multani, Uli Niemann, Mario A. Cypko, Jens-Peter Kuehn, Henry Völzke, Steffen Oeltze-Jafra, Myra Spiliopoulou
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. CBMS (2018)
Rohith Ravindran, Uli Niemann, Silke Klose, Isabell Walter, Antao Ming, Peter R. Mertens, Myra Spiliopoulou
Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder. CBMS (2018)
Alípio Jorge, João Vinagre, Pawel Matuszyk, Myra Spiliopoulou
ORSUM Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake
Personalized recommender systems for product-line configuration processes. Comput. Lang. Syst. Struct. 54 (2018)
Rajeev Motwani, Manfred Reichert, Sven Kalle, Rüdiger Pryss, Winfried Schlee, Thomas Probst, Berthold Langguth, Michael Landgrebe, Myra Spiliopoulou
Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases. CBMS (2018)
Stefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou
Predicting Worker Disagreement for More Effective Crowd Labeling. DSAA (2018)
Tommy Hielscher, Henry Völzke, Panagiotis Papapetrou, Myra Spiliopoulou
Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis. SAC (2018)
Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. DSAA (2018)
Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama
Forgetting techniques for stream-based matrix factorization in recommender systems. Knowl. Inf. Syst. 55 (2) (2018)
Lakshmi Prasath Muniandi, Winfried Schlee, Rüdiger Pryss, Manfred Reichert, Johannes Schobel, Robin Kraft, Myra Spiliopoulou
Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments. CBMS (2018)
Uli Niemann, Philipp Berg, Annika Niemann, Oliver Beuing, Bernhard Preim, Myra Spiliopoulou, Sylvia Saalfeld
Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. CBMS (2018)
Elson Serrao, Myra Spiliopoulou
Active Stream Learning with an Oracle of Unknown Availability for Sentiment Prediction. IAL@PKDD/ECML (2018)
Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou
Predicting polarities of entity-centered documents without reading their contents. SAC (2018)
Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi, Myra Spiliopoulou
Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams. WIMS (2018)
Rüdiger Pryss, Manfred Reichert, Winfried Schlee, Myra Spiliopoulou, Berthold Langguth, Thomas Probst
Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform. CBMS (2018)
Tommy Hielscher, Uli Niemann, Bernhard Preim, Henry Völzke, Till Ittermann, Myra Spiliopoulou
A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data. Expert Syst. Appl. 113 (2018)
Stefan Räbiger, Yücel Saygin, Myra Spiliopoulou
How Does Tweet Difficulty Affect Labeling Performance of Annotators? CoRR (2018)
Peter A. Flach, Myra Spiliopoulou, Serge Allegrezza, Matthias Böhmer, Burkhard Hess, Berthold Lausen
Introduction to the special issue on Data Science in Europe. Int. J. Data Sci. Anal. 6 (3) (2018)
Stefan Räbiger, Myra Spiliopoulou, Yücel Saygin
How do annotators label short texts? Toward understanding the temporal dynamics of tweet labeling. Inf. Sci. (2018)
Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi
Learning under Feature Drifts in Textual Streams. CIKM (2018)
Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, Myra Spiliopoulou
ICE: Interactive Classification Rule Exploration on Epidemiological Data. CBMS (2017)
Arne Schneck, Sven Kalle, Rüdiger Pryss, Winfried Schlee, Thomas Probst, Berthold Langguth, Michael Landgrebe, Manfred Reichert, Myra Spiliopoulou
Studying the Potential of Multi-target Classification to Characterize Combinations of Classes with Skewed Distribution. CBMS (2017)
Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, Bernhard Preim
Visual Subpopulation Discovery and Validation in Cohort Study Data. CoRR (2017)
Pawel Matuszyk, Myra Spiliopoulou
Stream-based semi-supervised learning for recommender systems. Mach. Learn. 106 (6) (2017)
Rüdiger Pryss, Thomas Probst, Winfried Schlee, Johannes Schobel, Berthold Langguth, Patrick Neff, Myra Spiliopoulou, Manfred Reichert
Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms. CBMS (2017)
Uli Niemann, Myra Spiliopoulou, Bernhard Preim, Till Ittermann, Henry Völzke
Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. CBMS (2017)
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Mach. Learn. 106 (9-10) (2017)
Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, Bernhard Preim
Subpopulation Discovery and Validation in Epidemiological Data. EuroVA@EuroVis (2017)
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Min. Knowl. Discov. 31 (5) (2017)
Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, Bernhard Preim
Visual Analytics of Missing Data in Epidemiological Cohort Studies. VCBM (2017)
Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake
A feature-based personalized recommender system for product-line configuration. GPCE (2016)
Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou
Scalable Online Top-N Recommender Systems. EC-Web (2016)
Uli Niemann, Myra Spiliopoulou, Fred Samland, Thorsten Szczepanski, Jens Grützner, Antao Ming, Juliane Kellersmann, Jan Malanowski, Silke Klose, Peter R. Mertens
Learning Pressure Patterns for Patients with Diabetic Foot Syndrome. CBMS (2016)
Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn
Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering. CBMS (2016)
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization. Inf. Sci. 329 (2016)
Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou
Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. AL@iKNOW (2016)
Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou
Multi-Class Probabilistic Active Learning. ECAI (2016)
Stefan Räbiger, Mishal Kazmi, Yücel Saygin, Peter Schüller, Myra Spiliopoulou
SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification. SemEval@NAACL-HLT (2016)
Pawel Matuszyk, Myra Spiliopoulou
Semi-supervised Learning for Stream Recommender Systems. Discovery Science (2015)
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Discovering and monitoring product features and the opinions on them with OPINSTREAM. Neurocomputing 150 (2015)
Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou
Clustering-Based Optimised Probabilistic Active Learning (COPAL). Discovery Science (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Myra Spiliopoulou