EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies. - Michael Riegler 001; Konstantin Pogorelov; Pål Halvorsen; Thomas de Lange; Carsten Griwodz; Peter Thelin Schmidt; Sigrun Losada Eskeland; Dag Johansen (CBMI, 2016)

Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery. - Michael Riegler 001; Konstantin Pogorelov; Mathias Lux; Pål Halvorsen; Carsten Griwodz; Thomas de Lange; Sigrun Losada Eskeland (CBMI, 2016)

GPU-Accelerated Real-Time Gastrointestinal Diseases Detection. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Peter Thelin Schmidt; Carsten Griwodz; Dag Johansen; Sigrun Losada Eskeland; Thomas de Lange (CBMS, 2016)

Simula @ MediaEval 2016 Context of Experience Task. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Carsten Griwodz (MediaEval, 2016)

Multimedia and Medicine: Teammates for Better Disease Detection and Survival. - Michael Riegler 001; 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; et al. (ACM Multimedia, 2016)

LIRE: open source visual information retrieval. - Mathias Lux; Michael Riegler 001; Pål Halvorsen; Konstantin Pogorelov; Nektarios Anagnostopoulos (MMSys, 2016)

Efficient processing of videos in a multi-auditory environment using device lending of GPUs. - Konstantin Pogorelov; Michael Riegler 001; Jonas Markussen; Håkon Kvale Stensland; Pål Halvorsen; Carsten Griwodz; Sigrun Losada Eskeland; Thomas de Lange (MMSys, 2016)

Heimdallr: a dataset for sport analysis. - Michael Riegler 001; Duc-Tien Dang-Nguyen; Bård Winther; Carsten Griwodz; Konstantin Pogorelov; Pål Halvorsen (MMSys, 2016)

Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. - Michael Riegler 001; Martha A. Larson; Concetto Spampinato; Pål Halvorsen; Mathias Lux; Jonas Markussen; Konstantin Pogorelov; Carsten Griwodz; Håkon Kvale Stensland (MMSys, 2016)

Computer aided disease detection system for gastrointestinal examinations. - Michael Riegler 001; Konstantin Pogorelov; Jonas Markussen; Mathias Lux; Håkon Kvale Stensland; Thomas de Lange; Carsten Griwodz; Pål Halvorsen; Dag Johansen; Peter Thelin Schmidt; Sigrun Losada Eskeland (MMSys, 2016)

JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery. - Kashif Ahmad; Michael Riegler 001; Konstantin Pogorelov; Nicola Conci; Pål Halvorsen; Francesco G. B. De Natale (CBMI, 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 001; Shiaw Hooi Ho; Ida Hilmi; Khean Lee Goh (CBMI, 2017)

CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. - Kashif Ahmad; Konstantin Pogorelov; Michael Riegler 001; Nicola Conci; Pål Halvorsen (MediaEval, 2017)

A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Carsten Griwodz; Thomas de Lange; Kristin Ranheim Randel; Sigrun Losada Eskeland; Duc-Tien Dang-Nguyen; Olga Ostroukhova; Mathias Lux; Concetto Spampinato (MediaEval, 2017)

Multimedia for Medicine: The Medico Task at MediaEval 2017. - Michael Riegler 001; Konstantin Pogorelov; Pål Halvorsen; Kristin Ranheim Randel; Sigrun Losada Eskeland; Duc-Tien Dang-Nguyen; Mathias Lux; Carsten Griwodz; Concetto Spampinato; Thomas de Lange (MediaEval, 2017)

ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Carsten Griwodz (ICMR, 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 001; Pål Halvorsen (MMSys, 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 001; Pål Halvorsen (MMSys, 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 001; Pål Halvorsen (MMSys, 2017)

Top-Down Saliency Detection Driven by Visual Classification. - Francesca Murabito; Concetto Spampinato; Simone Palazzo; Konstantin Pogorelov; Michael Riegler 001 (CoRR, 2017)

Efficient disease detection in gastrointestinal videos - global features versus neural networks. - Konstantin Pogorelov; Michael Riegler 001; Sigrun Losada Eskeland; Thomas de Lange; Dag Johansen; Carsten Griwodz; Peter Thelin Schmidt; Pål Halvorsen (Multim. Tools 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 011; Lequan Yu; Quentin Angermann; Olivier Romain; Bjorn Rustad; Ilangko Balasingham; Konstantin Pogorelov; Sungbin Choi; et al. (IEEE Trans. Medical Imaging, 2017)

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System. - Michael Riegler 001; 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)

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 001 (BHI, 2018)

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. - Steven Alexander Hicks; Michael Riegler 001; Konstantin Pogorelov; Kim V. Anonsen; Thomas de Lange; Dag Johansen; Mattis Jeppsson; Kristin Ranheim Randel; Sigrun Losada Eskeland; Pål Halvorsen (CBMS, 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 001; Pål Halvorsen (CBMS, 2018)

Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection. - Tor Jan Derek Berstad; Michael Riegler 001; Håvard Espeland; Thomas de Lange; Pia Helen Smedsrud; Konstantin Pogorelov; Håkon Kvale Stensland; Pål Halvorsen (ISM, 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 001; Dag Johansen; Carsten Griwodz; Pål Halvorsen (ISM, 2018)

Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection. - Olga Ostroukhova; Konstantin Pogorelov; Michael Riegler 001; Duc-Tien Dang-Nguyen; Pål Halvorsen (MediaEval, 2018)

Medico Multimedia Task at MediaEval 2018. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Steven Alexander Hicks; Kristin Ranheim Randel; Duc-Tien Dang-Nguyen; Mathias Lux; Olga Ostroukhova; Thomas de Lange (MediaEval, 2018)

Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. - Naina Said; Konstantin Pogorelov; Kashif Ahmad; Michael Riegler 001; Nasir Ahmad; Olga Ostroukhova; Pål Halvorsen; Nicola Conci (MediaEval, 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 001 (MMSys, 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 001 (MMSys, 2018)

Opensea: open search based classification tool. - Konstantin Pogorelov; Zeno Albisser; Olga Ostroukhova; Mathias Lux; Dag Johansen; Pål Halvorsen; Michael Riegler 001 (MMSys, 2018)

Top-down saliency detection driven by visual classification. - Francesca Murabito; Concetto Spampinato; Simone Palazzo; Daniela Giordano; Konstantin Pogorelov; Michael Riegler 001 (Comput. Vis. Image Underst., 2018)

Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. - Kashif Ahmad; Konstantin Pogorelov; Mohib Ullah; Michael Riegler 001; Nicola Conci; Johannes Langguth; Ala I. Al-Fuqaha (MediaEval, 2019)

The Multimedia Satellite Task at MediaEval 2019. - Benjamin Bischke; Patrick Helber; Simon Brugman; Erkan Basar; Zhengyu Zhao 001; Martha A. Larson; Konstantin Pogorelov (MediaEval, 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 001 (MediaEval, 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 001 (MediaEval, 2019)

ACM Multimedia BioMedia 2019 Grand Challenge Overview. - Steven Alexander Hicks; Michael Riegler 001; 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; et al. (ACM Multimedia, 2019)

FACT: a Framework for Analysis and Capture of Twitter Graphs. - Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (SNAMS, 2019)

Natural Disasters Detection in Social Media and Satellite imagery: a survey. - Naina Said; Kashif Ahmad; Michael Riegler 001; Konstantin Pogorelov; Laiq Hasan; Nasir Ahmad; Nicola Conci (CoRR, 2019)

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. - Kashif Ahmad; Konstantin Pogorelov; Mohib Ullah; Michael Riegler 001; Nicola Conci; Johannes Langguth; Ala I. Al-Fuqaha (CoRR, 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 001; et al. (Int. J. Semantic Comput., 2019)

Social media and satellites - Disaster event detection, linking and summarization. - Kashif Ahmad; Konstantin Pogorelov; Michael Riegler 001; Nicola Conci; Pål Halvorsen (Multim. Tools Appl., 2019)

Natural disasters detection in social media and satellite imagery: a survey. - Naina Said; Kashif Ahmad; Michael Riegler 001; Konstantin Pogorelov; Laiq Hassan; Nasir Ahmad; Nicola Conci (Multim. Tools Appl., 2019)

Automatic detection of passable roads after floods in remote sensed and social media data. - Kashif Ahmad; Konstantin Pogorelov; Michael Riegler 001; Olga Ostroukhova; Pål Halvorsen; Nicola Conci; Rozenn Dahyot (Signal Process. Image Commun., 2019)

DeepEIR: A Holistic Medical Multimedia System for Gastrointestinal Tract Disease Detection and Localization. - Konstantin Pogorelov (2019)

A System for High Performance Mining on GDELT Data. - Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkuková; Johannes Langguth (IPDPS Workshops, 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 (MediaEval, 2020)

Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. - Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (MediaEval, 2020)

A Scalable System for Bundling Online Social Network Mining Research. - Luk Burchard; Daniel Thilo Schroeder; Konstantin Pogorelov; Sören Becker 001; Emily Dietrich; Petra Filkuková; Johannes Langguth (SNAMS, 2020)

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. - Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkuková; Stefan Brenner; Johannes Langguth (OASIS@HT, 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 (ICAART (2), 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 (ICPP Workshops, 2021)

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Johannes Langguth (MediaEval, 2021)

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. - Luk Burchard; Johannes Moe; Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (ISC, 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; et al. (Medical Image Anal., 2021)

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. - Andreas Huber; Daniel Thilo Schroeder; Konstantin Pogorelov; Carsten Griwodz; Johannes Langguth (IPDPS Workshops, 2022)

Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. - Johannes Moe; Konstantin Pogorelov; Daniel Thilo Schroeder; Johannes Langguth (IPDPS Workshops, 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 (MediaEval, 2022)

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Asep Maulana; Johannes Langguth (MediaEval, 2022)

Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. - Konstantin Pogorelov; James D. Trotter; Johannes Langguth (Euro-Par Workshops (1), 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., 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., 2023)