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K. Pogorelov, D. T. Schroeder, L. Burchard, J. Moe, S. Brenner, P. Filkukova and J. Langguth

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020

In Media Eval Challange 2020. CEUR, 2020.
Proceedings, refereed
2020
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D. T. Schroeder, K. Pogorelov and J. Langguth

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

In MediaEval 2020. CEUR, 2020.
Proceedings, refereed
2020
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L. Burchard, D. T. Schroeder, K. Pogorelov, S. Becker, E. Dietrich, P. Filkukova and J. Langguth

A Scalable System for Bundling Online Social Network Mining Research

In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020.
Proceedings, refereed
2020
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K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth

A System for High Performance Mining on GDELT Data

In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2020.
Proceedings, refereed
2020
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News

30 October 2019
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Konstantin Pogorelov successfully defended his PhD

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2020

Proceedings, refereed

L. Burchard, D. T. Schroeder, K. Pogorelov, S. Becker, E. Dietrich, P. Filkukova and J. Langguth

A Scalable System for Bundling Online Social Network Mining Research

In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth

A System for High Performance Mining on GDELT Data

In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, L. Burchard, J. Moe, S. Brenner, P. Filkukova and J. Langguth

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020

In Media Eval Challange 2020. CEUR, 2020.
Status: Published
D. T. Schroeder, K. Pogorelov and J. Langguth

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

In MediaEval 2020. CEUR, 2020.
Status: Published

Posters

J. Langguth, D. T. Schroeder, K. Pogorelov and P. Filkukova

Graph Structure Based Monitoring of Digital Wildfires

6th International Conference on Computational Social Science, Boston, MA, USA, 2020.
Status: Published
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth

A Framework for Interaction-based Propagation Analysis in Online Social Networks

Complex Networks, 2020.
Status: Published
2018

Proceedings, refereed

T. J. D. Berstad, M. Riegler, H. Espeland, T. de Lange, P. H. Smedsrud, K. Pogorelov, H. K. Stensland and P. Halvorsen

Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection

In 2018 IEEE International Symposium on Multimedia (ISM). IEEE, 2018.
Status: Published
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.
Status: Published