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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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2019

Proceedings, refereed

K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
Status: Published
S. Hicks, A. Petlund, T. de Lange, P. T. Schmidt, P. Halvorsen, M. Riegler, P. H. Smedsrud, T. B. Haugen, K. R. Randel, K. Pogorelov et al.

ACM Multimedia BioMedia 2019 Grand Challenge Overview

In The ACM International Conference on Multimedia (ACM MM). New York, New York, USA: ACM Press, 2019.
Status: Published
B. Bischke, P. Helber, S. Brugman, E. Basar, Z. Zhao, M. Larson and K. Pogorelov

The Multimedia Satellite Task at MediaEval 2019: Estimation of Flood Severity

In MediaEval. CEUR Workshop Proceedings, 2019.
Status: Published
S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features

In MediaEval. ceur ws org, 2019.
Status: Published
S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Medico Multimedia Task at MediaEval 2019

In MediaEval. CEUR Workshop Proceedings, 2019.
Status: Published
D. T. Schroeder, K. Pogorelov and J. Langguth

FACT: a Framework for Analysis and Capture of Twitter Graphs

In The Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019) . IEEE, 2019.
Status: Published

PhD theses

K. Pogorelov

DeepEIR: A Holistic Medical Multimedia System for Gastrointestinal Tract Disease Detection and Localization

In The University of Oslo. Vol. PhD. Department of Informatics, University of Oslo, 2019.
Status: Published

Posters

R. Borgli, K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz and S. L. Eskeland

Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending

NVIDIA's GPU Technology Conference (GTC), 2019.
Status: Published