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- affiliation: Otto-von-Guericke-University Magdeburg, Germany
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2020 – today
- 2022
[c156]Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou:
Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. AIME 2022: 200-209- [c155]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: 310-320 - 2021
- [j70]Myra Spiliopoulou, Panagiotis Papapetrou:
Guest editorial: Special issue on mining for health. Data Min. Knowl. Discov. 35(4): 1710-1712 (2021) - [j69]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): 1695 (2021) - [j68]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): 4960 (2021) - [j67]Rafi Trad, Myra Spiliopoulou:
LAC: Latent Authorial Clustering of shorter texts. Softw. Impacts 10: 100119 (2021) - [c154]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: 295-300 - [c153]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: 307-312 - [c152]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: 354-359 - [c151]Rafi Trad, Myra Spiliopoulou:
Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus Outbreak. CBMS 2021: 597-602 - [c150]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: 1-10 - [c149]Rafi Trad, Myra Spiliopoulou:
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. IDA 2021: 301-312 - [i9]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 abs/2108.03891 (2021) - 2020
- [j66]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): 549-561 (2020) - [j65]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): 597-611 (2020) - [j64]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): 63-75 (2020) - [j63]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): 1-15 (2020) - [j62]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): 3456 (2020) - [c148]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: 659-673 - [c147]Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou:
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. IDA 2020: 1-13 - [c146]Neetha Jambigi, Tirtha Chanda, Vishnu Unnikrishnan, Myra Spiliopoulou:
Assessing the Difficulty of Labelling an Instance in Crowdworking. PKDD/ECML Workshops 2020: 363-373 - [i8]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 abs/2010.05612 (2020) - [i7]Rafi Trad, Myra Spiliopoulou:
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. CoRR abs/2011.15038 (2020)
2010 – 2019
- 2019
- [j61]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: 71921-71932 (2019) - [j60]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): 325-326 (2019) - [j59]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): 327-338 (2019) - [j58]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): 3903 (2019) - [c145]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: 63-70 - [c144]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: 294-299 - [c143]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 - [c142]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: 3951-3955 - [c141]Bernhard Preim, Shiva Alemzadeh, Till Ittermann, Paul Klemm, Uli Niemann, Myra Spiliopoulou:
Visual Analytics for Epidemiology. Eurographics (Dirk Bartz Prize) 2019: 9-12 - [c140]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: 350-355 - [c139]Myra Spiliopoulou, Panagiotis Papapetrou:
Mining and Model Understanding on Medical Data. KDD 2019: 3223-3224 - [c138]Noor Jamaludeen, Vishnu Unnikrishnan, Maya S. Sekeran, Majed Ali, Le Anh Trang, Myra Spiliopoulou:
Assessing the Reliability of Crowdsourced Labels via Twitter. LWDA 2019: 115-126 - [c137]Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi:
A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction. MASTER@PKDD/ECML 2019: 100-116 - [c136]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: 564-573 - [e31]Sven Apel, Abraham Bernstein, Felix C. Freiling, Steffen Hölldobler, Hans-Peter Lenhof, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Björn Scheuermann, Nicole Schweikardt, Myra Spiliopoulou, Sabine Süsstrunk, Klaus Wehrle:
Ausgezeichnete Informatikdissertationen 2018. LNI D-19, GI 2019, ISBN 978-3-88579-977-1 [contents] - 2018
- [j57]Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake:
Personalized recommender systems for product-line configuration processes. Comput. Lang. Syst. Struct. 54: 451-471 (2018) - [j56]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: 147-160 (2018) - [j55]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): 163-165 (2018) - [j54]Stefan Räbiger, Myra Spiliopoulou, Yücel Saygin:
How do annotators label short texts? Toward understanding the temporal dynamics of tweet labeling. Inf. Sci. 457-458: 29-47 (2018) - [j53]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): 275-304 (2018) - [c135]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: 48-53 - [c134]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: 65-70 - [c133]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: 88-93 - [c132]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: 112-117 - [c131]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: 239-243 - [c130]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: 411-416 - [c129]Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi:
Learning under Feature Drifts in Textual Streams. CIKM 2018: 527-536 - [c128]Stefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou:
Predicting Worker Disagreement for More Effective Crowd Labeling. DSAA 2018: 179-188 - [c127]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: 246-255 - [c126]Elson Serrao, Myra Spiliopoulou:
Active Stream Learning with an Oracle of Unknown Availability for Sentiment Prediction. IAL@PKDD/ECML 2018: 36-47 - [c125]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: 6-13 - [c124]Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou:
Predicting polarities of entity-centered documents without reading their contents. SAC 2018: 525-528 - [c123]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: 38:1-38:8 - [c122]Alípio Jorge, João Vinagre, Pawel Matuszyk, Myra Spiliopoulou:
ORSUM Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1365-1366 - [e30]Sven Apel, Abraham Bernstein, Wolfgang Effelsberg, Felix C. Freiling, Steffen Hölldobler, Hans-Peter Lenhof, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Nicole Schweikardt, Björn Scheuermann, Myra Spiliopoulou, Sabine Süsstrunk:
Ausgezeichnete Informatikdissertationen 2017. LNI D-18, GI 2018, ISBN 978-3-88579-977-1 [contents] - [i6]Stefan Räbiger, Yücel Saygin, Myra Spiliopoulou:
How Does Tweet Difficulty Affect Labeling Performance of Annotators? CoRR abs/1808.00388 (2018) - 2017
- [j52]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): 1155-1156 (2017) - [j51]Pawel Matuszyk, Myra Spiliopoulou:
Stream-based semi-supervised learning for recommender systems. Mach. Learn. 106(6): 771-798 (2017) - [j50]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): 1243-1244 (2017) - [c121]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: 582-587 - [c120]Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, Myra Spiliopoulou:
ICE: Interactive Classification Rule Exploration on Epidemiological Data. CBMS 2017: 606-611 - [c119]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: 630-635 - [c118]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: 642-647 - [c117]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: 43-51 - [c116]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: 43-47 - [e29]Abraham Bernstein, Wolfgang Effelsberg, Felix C. Freiling, Steffen Hölldobler, Hans-Peter Lenhof, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Nicole Schweikardt, Myra Spiliopoulou, Sabine Süsstrunk:
Ausgezeichnete Informatikdissertationen 2016. LNI D-17, GI 2017, ISBN 978-3-88579-976-4 [contents] - [r1]Myra Spiliopoulou, Eirini Ntoutsi, Max Zimmermann:
Opinion Stream Mining. Encyclopedia of Machine Learning and Data Mining 2017: 938-947 - [i5]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 abs/1711.09377 (2017) - 2016
- [j49]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: 876-899 (2016) - [c115]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: 54-59 - [c114]Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering. CBMS 2016: 207-212 - [c113]Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou:
Multi-Class Probabilistic Active Learning. ECAI 2016: 586-594 - [c112]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: 3-20 - [c111]Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake:
A feature-based personalized recommender system for product-line configuration. GPCE 2016: 120-131 - [c110]Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou:
Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. AL@iKNOW 2016: 25-34 - [c109]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: 64-70 - [e28]Abraham Bernstein, Wolfgang Effelsberg, Felix C. Freiling, Steffen Hölldobler, Hans-Peter Lenhof, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Nicole Schweikardt, Myra Spiliopoulou, Harald Störrle, Sabine Süsstrunk:
Ausgezeichnete Informatikdissertationen 2015. LNI D-16, GI 2016, ISBN 978-3-88579-975-7 [contents] - 2015
- [j48]Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú:
Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics 2(1): 33-44 (2015) - [j47]Stefan Räbiger, Myra Spiliopoulou:
A framework for validating the merit of properties that predict the influence of a twitter user. Expert Syst. Appl. 42(5): 2824-2834 (2015) - [j46]Zaigham Faraz Siddiqui, Eleftherios Tiakas, Panagiotis Symeonidis, Myra Spiliopoulou, Yannis Manolopoulos:
Learning Relational User Profiles and Recommending Items as Their Preferences Change. Int. J. Artif. Intell. Tools 24(2): 1540009:1-1540009:31 (2015) - [j45]Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou:
Discovering and monitoring product features and the opinions on them with OPINSTREAM. Neurocomputing 150: 318-330 (2015) - [c108]Uli Niemann, Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution? CBMS 2015: 121-126 - [c107]Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou:
Clustering-Based Optimised Probabilistic Active Learning (COPAL). Discovery Science 2015: 101-115 - [c106]Pawel Matuszyk, Myra Spiliopoulou:
Semi-supervised Learning for Stream Recommender Systems. Discovery Science 2015: 131-145 - [c105]Daniel Kottke, Georg Krempl, Myra Spiliopoulou:
Probabilistic Active Learning in Datastreams. IDA 2015: 145-157 - [c104]Myra Spiliopoulou, Pedro Pereira Rodrigues, Ernestina Menasalvas Ruiz:
Medical Mining: KDD 2015 Tutorial. KDD 2015: 2325 - [c103]Sebastian Wagner, Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou:
Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams. ECML/PKDD (1) 2015: 401-416 - [c102]Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama:
Forgetting methods for incremental matrix factorization in recommender systems. SAC 2015: 947-953 - [e27]Abraham Bernstein, Wolfgang Effelsberg, Felix C. Freiling, Steffen Hölldobler, Hans-Peter Lenhof, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Nicole Schweikardt, Myra Spiliopoulou, Harald Störrle, Sabine Süsstrunk:
Ausgezeichnete Informatikdissertationen 2014. LNI D-15, GI 2015, ISBN 978-3-88579-419-6 [contents] - [e26]Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1 [contents] - [i4]Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou:
Incremental Active Opinion Learning Over a Stream of Opinionated Documents. CoRR abs/1509.01288 (2015) - 2014
- [j44]Hans-Henning Gabriel, Myra Spiliopoulou, Alexandros Nanopoulos:
Summarizing dynamic Social Tagging Systems. Expert Syst. Appl. 41(2): 457-469 (2014) - [j43]Uli Niemann, Henry Völzke, Jens-Peter Kühn, Myra Spiliopoulou:
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Syst. Appl. 41(11): 5405-5415 (2014) - [j42]Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski:
Open challenges for data stream mining research. SIGKDD Explor. 16(1): 1-10 (2014) - [c101]Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú:
Are Some Brain Injury Patients Improving More Than Others? Brain Informatics and Health 2014: 376-387 - [c100]Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. CBMS 2014: 1-7 - [c99]Georg Krempl, Daniel Kottke, Myra Spiliopoulou:
Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. Discovery Science 2014: 168-179 - [c98]Pawel Matuszyk, Myra Spiliopoulou:
Selective Forgetting for Incremental Matrix Factorization in Recommender Systems. Discovery Science 2014: 204-215 - [c97]Georg Krempl, Daniel Kottke, Myra Spiliopoulou:
Probabilistic Active Learning: A Short Proposition. ECAI 2014: 1049-1050 - [c96]Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou:
A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams. ICDM Workshops 2014: 425-432 - [c95]Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder. IDA 2014: 120-130 - [c94]Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. ECML/PKDD (3) 2014: 460-463 - [c93]Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou:
Adaptive semi supervised opinion classifier with forgetting mechanism. SAC 2014: 805-812 - [c92]Pawel Matuszyk, Myra Spiliopoulou:
Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users. UMAP 2014: 146-157 - [c91]Zaigham Faraz Siddiqui, Eleftherios Tiakas, Panagiotis Symeonidis, Myra Spiliopoulou, Yannis Manolopoulos:
xStreams: Recommending Items to Users with Time-evolving Preferences. WIMS 2014: 22:1-22:12 - [c90]Pawel Matuszyk, Myra Spiliopoulou:
Predicting the Performance of Collaborative Filtering Algorithms. WIMS 2014: 38:1-38:6 - [e25]Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning:
Data Analysis, Machine Learning and Knowledge Discovery - Proceedings of the 36th Annual Conference of the Gesellschaft für Klassifikation e. V., Hildesheim, Germany, August 2012. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2014, ISBN 978-3-319-01594-1 [contents] - [e24]Abraham Bernstein, Wolfgang Effelsberg, Steffen Hölldobler, Hans-Peter Lenhof, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Nicole Schweikardt, Myra Spiliopoulou, Harald Störrle, Sabine Süsstrunk:
Ausgezeichnete Informatikdissertationen 2013. LNI D-14, GI 2014, ISBN 978-3-88579-418-9 [contents] - 2013
- [j41]Christian Czarnecki, Axel Winkelmann, Myra Spiliopoulou:
Reference Process Flows for Telecommunication Companies - An Extension of the eTOM Model. Bus. Inf. Syst. Eng. 5(2): 83-96 (2013) - [j40]Christian Czarnecki, Axel Winkelmann, Myra Spiliopoulou:
Referenzprozessabläufe für Telekommunikationsunternehmen - Eine Erweiterung des eTOM-Modells. Wirtschaftsinf. 55(2): 83-97 (2013) - [c89]Sylvia Glaßer, Uli Niemann, Uta Preim, Bernhard Preim, Myra Spiliopoulou:
Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. Bildverarbeitung für die Medizin 2013: 45-50 - [c88]