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Konstantin Pogorelov
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2020 – today
- 2023
- [j11]Johannes Langguth, Petra Filkuková
, Stefan Brenner
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. Int. J. Data Sci. Anal. 15(3): 329-346 (2023) - [j10]Johannes Langguth, Daniel Thilo Schroeder
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. J. Comput. Soc. Sci. 6(2): 443-484 (2023) - [c50]Konstantin Pogorelov
Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. Euro-Par Workshops (1) 2023: 135-146 - 2022
- [c49]Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. IPDPS Workshops 2022: 45-54 - [c48]Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth:
A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. IPDPS Workshops 2022: 1153-1162 - [c47]Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. MediaEval 2022 - [c46]Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth:
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. MediaEval 2022 - [e2]Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022 [contents] - 2021
- [j9]Debesh Jha
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70: 102007 (2021) - [c45]Konstantin Pogorelov, Daniel Thilo Schroeder
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. OASIS@HT 2021: 21-25 - [c44]Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkuková
WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. ICAART (2) 2021: 257-266 - [c43]Sunidhi Dhandhania, Akshay Deodhar, Konstantin Pogorelov, Swarnendu Biswas, Johannes Langguth:
Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. ICPP Workshops 2021: 6:1-6:10 - [c42]Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth:
FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. MediaEval 2021 - [c41]Luk Burchard
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. ISC 2021: 291-309 - [e1]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - 2020
- [c40]Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková
A System for High Performance Mining on GDELT Data. IPDPS Workshops 2020: 1101-1111 - [c39]Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkuková, Johannes Langguth:
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. MediaEval 2020 - [c38]Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth:
Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. MediaEval 2020 - [c37]Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkuková
A Scalable System for Bundling Online Social Network Mining Research. SNAMS 2020: 1-6
2010 – 2019
- 2019
- [b1]Konstantin Pogorelov:
DeepEIR: A Holistic Medical Multimedia System for Gastrointestinal Tract Disease Detection and Localization. University of Oslo, Norway, 2019 - [j8]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:
Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming. Int. J. Semantic Comput. 13(3): 367-391 (2019) - [j7]Kashif Ahmad
Social media and satellites - Disaster event detection, linking and summarization. Multim. Tools Appl. 78(3): 2837-2875 (2019) - [j6]Naina Said, Kashif Ahmad
Natural disasters detection in social media and satellite imagery: a survey. Multim. Tools Appl. 78(22): 31267-31302 (2019) - [j5]Kashif Ahmad
Automatic detection of passable roads after floods in remote sensed and social media data. Signal Process. Image Commun. 74: 110-118 (2019) - [c36]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. MediaEval 2019 - [c35]Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov:
The Multimedia Satellite Task at MediaEval 2019. MediaEval 2019 - [c34]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:
Medico Multimedia Task at MediaEval 2019. MediaEval 2019 - [c33]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:
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. MediaEval 2019 - [c32]Steven Alexander Hicks, Michael Riegler, Pia H. Smedsrud, Trine B. Haugen
ACM Multimedia BioMedia 2019 Grand Challenge Overview. ACM Multimedia 2019: 2563-2567 - [c31]Daniel Thilo Schroeder
FACT: a Framework for Analysis and Capture of Twitter Graphs. SNAMS 2019: 134-141 - [i4]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot:
Automatic detection of passable roads after floods in remote sensed and social media data. CoRR abs/1901.03298 (2019) - [i3]Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hasan, Nasir Ahmad, Nicola Conci:
Natural Disasters Detection in Social Media and Satellite imagery: a survey. CoRR abs/1901.04277 (2019) - [i2]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. CoRR abs/1910.02932 (2019) - 2018
- [j4]Francesca Murabito
Top-down saliency detection driven by visual classification. Comput. Vis. Image Underst. 172: 67-76 (2018) - [c30]Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange
Deep learning and handcrafted feature based approaches for automatic detection of angiectasia. BHI 2018: 365-368 - [c29]Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Anonsen, Thomas de Lange
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. CBMS 2018: 363-368 - [c28]Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange
Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos. CBMS 2018: 381-386 - [c27]Tor Jan Derek Berstad, Michael Riegler, Håvard Espeland, Thomas de Lange, Pia Helen Smedsrud, Konstantin Pogorelov, Håkon Kvale Stensland, Pål Halvorsen:
Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection. ISM 2018: 1-8 - [c26]Mattis Jeppsson, Håvard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Konstantin Pogorelov, Michael Riegler, Dag Johansen, Carsten Griwodz, Pål Halvorsen:
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. ISM 2018: 81-88 - [c25]Olga Ostroukhova, Konstantin Pogorelov, Michael Riegler, Duc-Tien Dang-Nguyen, Pål Halvorsen:
Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection. MediaEval 2018 - [c24]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange:
Medico Multimedia Task at MediaEval 2018. MediaEval 2018 - [c23]Naina Said, Konstantin Pogorelov, Kashif Ahmad, Michael Riegler, Nasir Ahmad, Olga Ostroukhova, Pål Halvorsen, Nicola Conci:
Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. MediaEval 2018 - [c22]Konstantin Pogorelov, Zeno Albisser, Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler:
Opensea: open search based classification tool. MMSys 2018: 363-368 - [c21]Steven Alexander Hicks, Sigrun Losada Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, Michael Riegler:
Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. MMSys 2018: 369-374 - [c20]Steven Alexander Hicks, Konstantin Pogorelov, Thomas de Lange, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen, Michael Riegler:
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. MMSys 2018: 490-493 - 2017
- [j3]Konstantin Pogorelov, Michael Riegler, Sigrun Losada Eskeland, Thomas de Lange
Efficient disease detection in gastrointestinal videos - global features versus neural networks. Multim. Tools Appl. 76(21): 22493-22525 (2017) - [j2]Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging 36(6): 1231-1249 (2017) - [j1]Michael Riegler, Konstantin Pogorelov, Sigrun Losada Eskeland, Peter Thelin Schmidt, Zeno Albisser, Dag Johansen, Carsten Griwodz, Pål Halvorsen, Thomas de Lange
From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System. ACM Trans. Multim. Comput. Commun. Appl. 13(3): 26:1-26:26 (2017) - [c19]Kashif Ahmad
JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery. CBMI 2017: 12:1-12:6 - [c18]Shipra Suman
Detection and Classification of Bleeding Region in WCE Images using Color Feature. CBMI 2017: 17:1-17:6 - [c17]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen:
CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. MediaEval 2017 - [c16]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:
A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. MediaEval 2017 - [c15]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:
Multimedia for Medicine: The Medico Task at MediaEval 2017. MediaEval 2017 - [c14]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz:
ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections. ICMR 2017: 112-116 - [c13]Konstantin Pogorelov, Sigrun Losada Eskeland, Thomas de Lange
A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. MMSys 2017: 112-123 - [c12]Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange
KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. MMSys 2017: 164-169 - [c11]Konstantin Pogorelov, Kristin Ranheim Randel, Thomas de Lange
Nerthus: A Bowel Preparation Quality Video Dataset. MMSys 2017: 170-174 - [i1]Francesca Murabito, Concetto Spampinato, Simone Palazzo, Konstantin Pogorelov, Michael Riegler:
Top-Down Saliency Detection Driven by Visual Classification. CoRR abs/1709.05307 (2017) - 2016
- [c10]Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Thomas de Lange
EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies. CBMI 2016: 1-6 - [c9]Michael Riegler, Konstantin Pogorelov, Mathias Lux, Pål Halvorsen, Carsten Griwodz, Thomas de Lange
Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery. CBMI 2016: 1-4 - [c8]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Peter Thelin Schmidt, Carsten Griwodz, Dag Johansen, Sigrun Losada Eskeland, Thomas de Lange
GPU-Accelerated Real-Time Gastrointestinal Diseases Detection. CBMS 2016: 185-190 - [c7]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz:
Simula @ MediaEval 2016 Context of Experience Task. MediaEval 2016 - [c6]Michael Riegler, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange
Multimedia and Medicine: Teammates for Better Disease Detection and Survival. ACM Multimedia 2016: 968-977 - [c5]Michael Riegler, Konstantin Pogorelov, Jonas Markussen
Computer aided disease detection system for gastrointestinal examinations. MMSys 2016: 29:1-29:4 - [c4]Mathias Lux, Michael Riegler, Pål Halvorsen, Konstantin Pogorelov, Nektarios Anagnostopoulos:
LIRE: open source visual information retrieval. MMSys 2016: 30:1-30:4 - [c3]Konstantin Pogorelov, Michael Riegler, Jonas Markussen
Efficient processing of videos in a multi-auditory environment using device lending of GPUs. MMSys 2016: 36:1-36:4 - [c2]Michael Riegler, Martha A. Larson, Concetto Spampinato, Pål Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Håkon Kvale Stensland:
Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. MMSys 2016: 45:1-45:6 - [c1]Michael Riegler, Duc-Tien Dang-Nguyen, Bård Winther, Carsten Griwodz, Konstantin Pogorelov, Pål Halvorsen:
Heimdallr: a dataset for sport analysis. MMSys 2016: 47:1-47:6
Coauthor Index
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