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S. Dhandhania, A. Deodhar, K. Pogorelov, S. Biswas and J. Langguth

Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection

In 50th International Conference on Parallel Processing Workshop. Chicago, Illinois, USA: ACM, 2021.
Proceedings, refereed
2021
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L. Burchard, J. Moe, D. T. Schroeder, K. Pogorelov and J. Langguth

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs

In High Performance Computing. ISC High Performance 2021. Vol. LNCS, volume 12728. Cham: Springer International Publishing, 2021.
Proceedings, refereed
2021
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K. Pogorelov, D. T. Schroeder, P. Filkukova, S. Brenner and J. Langguth

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets

In Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS '21). ACM, 2021.
Proceedings, refereed
2021
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D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig et al.

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis 70 (2021): 102007.
Journal Article
2021
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2017

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
K. Pogorelov, S. L. Eskeland, T. de Lange, C. Griwodz, K. R. Randel, H. K. Stensland, D. Dang-Nguyen, C. Spampinato, D. Johansen, M. Riegler et al.

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection

In 8th annual ACM conference on Multimedia Systems (MMSys). ACM, 2017.
Status: Published
K. Pogorelov, M. Riegler, P. Halvorsen and C. Griwodz

ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections

In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
Status: Published
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al.

A comparison of deep learning with global features for gastrointestinal disease detection

In MediaEval Benchmark 2017. Dublin, Ireland: CEUR-WS.org, 2017.
Status: Published
K. Pogorelov, K. Ranheim, C. Griwodz, T. de Lange, S. L. Eskeland, D. Johansen, P. T. Schmidt, C. Spampinato, D. Dang-Nguyen, M. Lux et al.

Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection

In ACM Multimedia Systems. Taiwan: ACM, 2017.
Status: Published
K. Pogorelov, K. Ranheim, T. de Lange, S. L. Eskeland, D. Johansen, C. Griwodz, C. Spampinato, M. Taschwer, M. Lux, P. T. Schmidt et al.

Nerthus: A Bowel Preparation Quality Video Dataset

In ACM Multimedia Systems. Taipei: ACM, 2017.
Status: Published
M. Riegler, K. Pogorelov, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, M. Lux and C. Spampinato

Multimedia for medicine: the medico Task at mediaEval 2017

In MediaEval Benchmark 2017. Dublin, Ireland: CEUR-WS.org, 2017.
Status: Published
S. Suman, F. A. B. Hussin, A. S. Malik, K. Pogorelov, M. Riegler, S. H. Ho, I. Hilmi and K. L. Goh

Detection and Classification of Bleeding Region in WCE Images Using Color Feature

In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing. New York, NY, USA: ACM, 2017.
Status: Published