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J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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J. Langguth, P. Filkukova, S. Brenner, D. T. Schroeder and K. Pogorelov

COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire

International Journal of Data Science and Analytics (2022).
Journal Article
2022
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D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind

The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena

Scientific Reports 12, no. 1 (2022).
Journal Article
2022
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30 October 2019
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Konstantin Pogorelov successfully defended his PhD

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2022

Journal articles

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

COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire

International Journal of Data Science and Analytics (2022).
Status: Published
D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind

The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena

Scientific Reports 12, no. 1 (2022).
Status: Published

Proceedings, refereed

A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Status: Published
J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Status: Published
2017

Journal articles

J. Bernal, N. Tajbakhsh, J. F Sanchez, B. J. Matuszewski, H. Chen, L. Yu, Q. Angermann, O. Romain, B. Rustad, I. Balasingham et al.

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge

IEEE Transactions on Medical Imaging (2017): 1-19.
Status: Published
K. Pogorelov, M. Riegler, S. L. Eskeland, T. de Lange, D. Johansen, C. Griwodz, P. T. Schmidt and P. Halvorsen

Efficient disease detection in gastrointestinal videos – global features versus neural networks

Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.
Status: Published
M. Riegler, K. Pogorelov, S. L. Eskeland, P. T. Schmidt, Z. Albisser, D. Johansen, C. Griwodz, P. Halvorsen and T. de Lange

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).
Status: Published

Proceedings, refereed

K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection

In MediaEval Benchmark 2017. Dublin, Ireland: CEUR-WS.org, 2017.
Status: Published
K. Ahmad, M. Riegler, K. Pogorelov, P. Halvorsen and F. De Natale

JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery

In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17. New York, USA: ACM Press, 2017.
Status: Published
S. L. Eskeland, L. Aabakken, M. Riegler, K. Pogorelov, P. T. Schmidt, D. Johansen and P. Halvorsen

EIR: changing the scene of automatic detection software for gastrointestinal endoscopy

In World Congress of GI Endoscopy. Hyderabad, India: World Endoscopic Organisation, 2017.
Status: Published