Konstantin Pogorelov

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

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

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

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

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig, M. Tran, W. Meng, T. Hoang, D. Dias, T. H. Ko, T. Agrawal, O. Ostroukhova, Z. Khan, M. A. Tahir, Y. Liu, Y. Chang, M. Kirkerød, D. Johansen, M. Lux, H. D. Johansen, M. Riegler and P. Halvorsen

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis

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

Don't Trust Your Eyes: Image Manipulation in the Age of DeepFakes

Frontiers in Communication

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

50th International Conference on Parallel Processing Workshop

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

WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets

Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021)

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

Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS '21)

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

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

High Performance Computing. ISC High Performance 2021

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

Will technical means help in preventing digital wildfires?

6th World Conference on Media and Mass Communication, Cagliari, Italy

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen, D. Johansen, C. Griwodz, H. K. Stensland, E. Garcia-Ceja, P. T. Schmidt, H. L. Hammer, M. Riegler, P. Halvorsen and T. de Lange

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data

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

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

Complex Networks

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

2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)

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

A System for High Performance Mining on GDELT Data

2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

MediaEval 2020

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

Media Eval Challange 2020

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

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

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

Graph Structure Based Monitoring of Digital Wildfires

K. Ahmad, K. Pogorelov, M. Riegler, O. Ostroukhova, P. Halvorsen, N. Conci and R. Dahyot

Automatic detection of passable roads after floods in remote sensed and social media data

Signal Processing: Image Communication

K. Pogorelov, S. Suman, F. A. Hussin, A. S. Malik, O. Ostroukhova, M. Riegler, P. Halvorsen, S. H. Ho and K. Goh

Bleeding detection in wireless capsule endoscopy videos—Color versus texture features

Journal of applied clinical medical physics

S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy

M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, D. Johansen, K. Pogorelov, H. K. Stensland, C. Griwodz, M. Riegler and P. Halvorsen

Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming

International Journal of Semantic Computing

N. Said, K. Ahmad, M. Riegler, K. Pogorelov, L. Hassan, N. Ahmad and N. Conci

Natural disasters detection in social media and satellite imagery: a survey

Multimedia Tools and Applications

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

Social media and satellites: Disaster event detection, linking and summarization

Multimedia Tools and Applications

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, H. K. Stensland, D. Dang-Nguyen and M. Lux

ACM Multimedia BioMedia 2019 Grand Challenge Overview

The ACM International Conference on Multimedia (ACM MM)

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

FACT: a Framework for Analysis and Capture of Twitter Graphs

The Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019)

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

MediaEval

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

Multimediaeval Benchmark 2019

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

MediaEval

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

MediaEval

K. Pogorelov

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

The University of Oslo

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

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

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

Social Media and Satellites. Disaster event detection, linking and summarization

Multimedia Tools and Applications

F. Murabito, C. Spampinato, S. Palazzo, D. Giordano, K. Pogorelov and M. Riegler

Top-Down Saliency Detection Driven by Visual Classification

Computer Vision and Image Understanding

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

Proceedings of the 9th ACM Multimedia Systems Conference

K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen

Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos

31st IEEE CBMS International Symposium on Computer-Based Medical Systems

K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, T. de Lange, H. Espeland, T. Kupka, C. Griwodz and M. Riegler

Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia

2018 IEEE Conference on Biomedical and Health Informatics (BHI)

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

Deep learning approaches for flood classification and flood aftermath detection

Working Notes Proceedings of the MediaEval 2018 Workshop

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

31st IEEE CBMS International Symposium on Computer-Based Medical Systems

M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen, C. Griwodz and P. Halvorsen

Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming

2018 IEEE International Symposium on Multimedia (ISM)

K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

Working Notes Proceedings of the MediaEval 2018 Workshop

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

Proceedings of the 9th ACM Multimedia Systems Conference

K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen and M. Riegler

OpenSea - Open Search Based Classification Tool

Proceedings of the 9th ACM Multimedia Systems Conference

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

2018 IEEE International Symposium on Multimedia (ISM)

O. Ostroukhova, K. Pogorelov, M. Riegler, D. Dang-Nguyen and P. Halvorsen

Transfer learning with prioritized classification and training dataset equalization for medical objects detection

Working Notes Proceedings of the MediaEval 2018 Workshop

K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, H. Espeland, T. Kupka, T. de Lange, C. Griwodz and M. Riegler

Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches

IEEE Conference on Biomedical and Health Informatics (BHI) 2018

J. Bernal, N. Tajbakhsh, J. Sanchez, B. J. Matuszewski, H. Chen, L. Yu, Q. Angermann, O. Romain, B. Rustad, I. Balasingham, K. Pogorelov, S. Choi, Q. Debard, L. Maier-Hein, S. Speidel, D. Stoyanov, P. Brandao, H. Córdova, C. Sánchez-Montes, S. R. Gurudu, G. Fernández-Esparrach, X. Dray, J. Liang and A. Histace

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

IEEE Transactions on Medical Imaging

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

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

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 and P. Halvorsen

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection

8th annual ACM conference on Multimedia Systems (MMSys)

K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux and C. Spampinato

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

MediaEval Benchmark 2017

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

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

MediaEval Benchmark 2017

K. Pogorelov, M. Riegler, P. Halvorsen and C. Griwodz

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

ACM International Conference on Multimedia Retrieval

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

Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing

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

World Congress of GI Endoscopy

K. Ahmad, M. Riegler, K. Pogorelov, n. null, P. Halvorsen and F. De Natale

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

Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17

K. Pogorelov, K. Ranheim, C. Griwodz, T. de Lange, S. L. Eskeland, D. Johansen, P. T. Schmidt, C. Spampinato, D. Dang-Nguyen, M. Lux, M. Riegler and P. Halvorsen

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

ACM Multimedia Systems

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

MediaEval Benchmark 2017

K. Pogorelov, K. Ranheim, T. de Lange, S. L. Eskeland, D. Johansen, C. Griwodz, C. Spampinato, M. Taschwer, M. Lux, P. T. Schmidt, M. Riegler and P. Halvorsen

Nerthus: A Bowel Preparation Quality Video Dataset

ACM Multimedia Systems

M. Riegler, K. Pogorelov, J. Markussen, M. Lux, H. K. Stensland, T. de Lange, C. Griwodz, P. Halvorsen, D. Johansen, P. T. Schmidt and S. L. Eskeland

Computer Aided Disease Detection System for Gastrointestinal Examinations

Multimedia Systems Conference 2016

M. Riegler, K. Pogorelov, P. Halvorsen, T. de Lange, C. Griwodz, D. Johansen, P. T. Schmidt and S. L. Eskeland

EIR - Efficient Computer Aided Diagnosis Framework for Gastrointestinal Endoscopies

International Workshop on Content-based Multimedia Indexing

K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz, S. L. Eskeland and T. de Lange

Efficient Processing of Videos in a Multi Auditory Environment Using Device Lending of GPUs

The 7th International Conference on Multimedia Systems (MMSys)

M. Riegler, K. Pogorelov, M. Lux, P. Halvorsen, C. Griwodz, S. L. Eskeland and T. de Lange

Explorative Hyperbolic-Tree-Based Clustering Tool for Unsupervised Knowledge Discovery

International Workshop on Content-based Multimedia Indexing

K. Pogorelov, M. Riegler, P. Halvorsen, T. de Lange, P. T. Schmidt, S. L. Eskeland, C. Griwodz and D. Johansen

GPU-accelerated Real-time Gastrointestinal Diseases Detection

CBMS 2016 : The 29th International Symposium on Computer-Based Medical Systems

M. Riegler, D. Dang-Nguyen, B. Winther, C. Griwodz, K. Pogorelov and P. Halvorsen

Heimdallr: a dataset for sport analysis

ACM Multimedia System

M. Lux, M. Riegler, K. Pogorelov, P. Halvorsen and N. Anagnostopoulos

LIRE - Open Source Visual Information Retrieval

Multimedia System Conference 2016

M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen, H. Johansen and P. Halvorsen

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

ACM Multimedia

M. Riegler, n. null, C. Spampinato, P. Halvorsen, M. Lux, J. Markussen, K. Pogorelov, C. Griwodz and H. K. Stensland

Right inflight? A dataset for exploring the automatic prediction of movies suitable for a watching situation

Multimedia Systems Conference 2016

K. Pogorelov, M. Riegler, P. Halvorsen and C. Griwodz

Simula @ MediaEval 2016 Context of Experience Task

MediaEval 2016 Workshop