Konstantin Pogorelov

According to our database, Konstantin Pogorelov authored at least 65 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

COCO: an annotated Twitter dataset of COVID-19 conspiracy theories.

Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, Konstantin Pogorelov

J. Comput. Soc. Sci., October, 2023

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

Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov

Int. J. Data Sci. Anal., April, 2023

Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features.

Konstantin Pogorelov, James D. Trotter, Johannes Langguth

Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022.

Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022.

Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs.

Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

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

Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.

Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen

Medical Image Anal., 2021

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

Luk Burchard, Johannes Moe, Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth

Proceedings of the High Performance Computing - 36th International Conference, 2021

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021.

Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

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

Sunidhi Dhandhania, Akshay Deodhar, Konstantin Pogorelov, Swarnendu Biswas, Johannes Langguth

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

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

Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkuková, Konstantin Pogorelov, Johannes Langguth

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

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

Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Johannes Langguth

Proceedings of the OASIS@HT 2021: Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks, 2021

2020

A Scalable System for Bundling Online Social Network Mining Research.

Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkuková, Johannes Langguth

Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation.

Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

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

Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkuková, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

A System for High Performance Mining on GDELT Data.

Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, Johannes Langguth

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

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

Konstantin Pogorelov

PhD thesis, 2019

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

Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot

Signal Process. Image Commun., 2019

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

Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hassan, Nasir Ahmad, Nicola Conci

Multim. Tools Appl., 2019

Social media and satellites - Disaster event detection, linking and summarization.

Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen

Multim. Tools Appl., 2019

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

Mattis Jeppsson, Håvard Nygaard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Dag Johansen, Konstantin Pogorelov, Håkon Kvale Stensland, Carsten Griwodz, Michael Riegler, Pål Halvorsen

Int. J. Semantic Comput., 2019

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

Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha

CoRR, 2019

Natural Disasters Detection in Social Media and Satellite imagery: a survey.

Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hasan, Nasir Ahmad, Nicola Conci

CoRR, 2019

FACT: a Framework for Analysis and Capture of Twitter Graphs.

Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

ACM Multimedia BioMedia 2019 Grand Challenge Overview.

Steven Alexander Hicks, Michael Riegler, Pia H. Smedsrud, Trine B. Haugen, Kristin Ranheim Randel, Konstantin Pogorelov, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Mathias Lux, Andreas Petlund, Thomas de Lange, Peter Thelin Schmidt, Pål Halvorsen

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features.

Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Medico Multimedia Task at MediaEval 2019.

Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

The Multimedia Satellite Task at MediaEval 2019.

Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

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

Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018

Top-down saliency detection driven by visual classification.

Francesca Murabito, Concetto Spampinato, Simone Palazzo, Daniela Giordano, Konstantin Pogorelov, Michael Riegler

Comput. Vis. Image Underst., 2018

Opensea: open search based classification tool.

Konstantin Pogorelov, Zeno Albisser, Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis.

Steven Alexander Hicks, Konstantin Pogorelov, Thomas de Lange, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen, Michael Riegler

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain.

Steven Alexander Hicks, Sigrun Losada Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, Michael Riegler

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Deep Learning Approaches for Flood Classification and Flood Aftermath Detection.

Naina Said, Konstantin Pogorelov, Kashif Ahmad, Michael Riegler, Nasir Ahmad, Olga Ostroukhova, Pål Halvorsen, Nicola Conci

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Medico Multimedia Task at MediaEval 2018.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection.

Olga Ostroukhova, Konstantin Pogorelov, Michael Riegler, Duc-Tien Dang-Nguyen, Pål Halvorsen

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

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

Mattis Jeppsson, Håvard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Konstantin Pogorelov, Michael Riegler, Dag Johansen, Carsten Griwodz, Pål Halvorsen

Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection.

Tor Jan Derek Berstad, Michael Riegler, Håvard Espeland, Thomas de Lange, Pia Helen Smedsrud, Konstantin Pogorelov, Håkon Kvale Stensland, Pål Halvorsen

Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

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

Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, Pål Halvorsen

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

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

Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Anonsen, Thomas de Lange, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Deep learning and handcrafted feature based approaches for automatic detection of angiectasia.

Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

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

Michael Riegler, Konstantin Pogorelov, Sigrun Losada Eskeland, Peter Thelin Schmidt, Zeno Albisser, Dag Johansen, Carsten Griwodz, Pål Halvorsen, Thomas de Lange

ACM Trans. Multim. Comput. Commun. Appl., 2017

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

Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace

IEEE Trans. Medical Imaging, 2017

Efficient disease detection in gastrointestinal videos - global features versus neural networks.

Konstantin Pogorelov, Michael Riegler, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Carsten Griwodz, Peter Thelin Schmidt, Pål Halvorsen

Multim. Tools Appl., 2017

Top-Down Saliency Detection Driven by Visual Classification.

Francesca Murabito, Concetto Spampinato, Simone Palazzo, Konstantin Pogorelov, Michael Riegler

CoRR, 2017

Nerthus: A Bowel Preparation Quality Video Dataset.

Konstantin Pogorelov, Kristin Ranheim Randel, Thomas de Lange, Sigrun Losada Eskeland, Carsten Griwodz, Dag Johansen, Concetto Spampinato, Mario Taschwer, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

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

Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Concetto Spampinato, Duc-Tien Dang-Nguyen, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection.

Konstantin Pogorelov, Sigrun Losada Eskeland, Thomas de Lange, Carsten Griwodz, Kristin Ranheim Randel, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Concetto Spampinato, Dag Johansen, Michael Riegler, Pål Halvorsen

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

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

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Multimedia for Medicine: The Medico Task at MediaEval 2017.

Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

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

Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Detection and Classification of Bleeding Region in WCE Images using Color Feature.

Shipra Suman, Fawnizu Azmadi Hussin, Aamir Saeed Malik, Konstantin Pogorelov, Michael Riegler, Shiaw Hooi Ho, Ida Hilmi, Khean Lee Goh

Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

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

Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Nicola Conci, Pål Halvorsen, Francesco G. B. De Natale

Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

2016

Computer aided disease detection system for gastrointestinal examinations.

Michael Riegler, Konstantin Pogorelov, Jonas Markussen, Mathias Lux, Håkon Kvale Stensland, Thomas de Lange, Carsten Griwodz, Pål Halvorsen, Dag Johansen, Peter Thelin Schmidt, Sigrun Losada Eskeland

Proceedings of the 7th International Conference on Multimedia Systems, 2016

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

Michael Riegler, Martha A. Larson, Concetto Spampinato, Pål Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Håkon Kvale Stensland

Proceedings of the 7th International Conference on Multimedia Systems, 2016

Heimdallr: a dataset for sport analysis.

Michael Riegler, Duc-Tien Dang-Nguyen, Bård Winther, Carsten Griwodz, Konstantin Pogorelov, Pål Halvorsen

Proceedings of the 7th International Conference on Multimedia Systems, 2016

Efficient processing of videos in a multi-auditory environment using device lending of GPUs.

Konstantin Pogorelov, Michael Riegler, Jonas Markussen, Håkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange

Proceedings of the 7th International Conference on Multimedia Systems, 2016

LIRE: open source visual information retrieval.

Mathias Lux, Michael Riegler, Pål Halvorsen, Konstantin Pogorelov, Nektarios Anagnostopoulos

Proceedings of the 7th International Conference on Multimedia Systems, 2016

Multimedia and Medicine: Teammates for Better Disease Detection and Survival.

Michael Riegler, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange, Sigrun Losada Eskeland, Konstantin Pogorelov, Wallapak Tavanapong, Peter Thelin Schmidt, Cathal Gurrin, Dag Johansen, Håvard D. Johansen, Pål Halvorsen

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Simula @ MediaEval 2016 Context of Experience Task.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz

Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

GPU-Accelerated Real-Time Gastrointestinal Diseases Detection.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Peter Thelin Schmidt, Carsten Griwodz, Dag Johansen, Sigrun Losada Eskeland, Thomas de Lange

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery.

Michael Riegler, Konstantin Pogorelov, Mathias Lux, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Sigrun Losada Eskeland

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016

EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies.

Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Thomas de Lange, Carsten Griwodz, Peter Thelin Schmidt, Sigrun Losada Eskeland, Dag Johansen

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016