Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction. - Xinchao Li; Michael Riegler 001; Martha A. Larson; Alan Hanjalic (MediaEval, 2013)

Frame the Crowd: Global Visual Features Labeling boosted with Crowdsourcing Information. - Michael Riegler 001; Mathias Lux; Christoph Kofler (MediaEval, 2013)

Annotation of endoscopic videos on mobile devices: a bottom-up approach. - Mathias Lux; Michael Riegler 001 (MMSys, 2013)

PictureSort: gamification of image ranking. - Mathias Lux; Mario Guggenberger; Michael Riegler 001 (GamifIR@ECIR, 2014)

Work Like a Bee - Taking Advantage of Diligent Crowdsourcing Workers. - Michael Riegler 001; Preben N. Olsen; Pål Halvorsen (MediaEval, 2014)

Multimodal Synchronization of Image Galleries. - Maia Zaharieva; Michael Riegler 001; Manfred del Fabro (MediaEval, 2014)

VideoJot: A Multifunctional Video Annotation Tool. - Michael Riegler 001; Mathias Lux; Vincent Charvillat; Axel Carlier; Raynor Vliegendhart; Martha A. Larson (ICMR, 2014)

A Crowdsourced Data Set of Edited Images Online. - Valentina Conotter; Duc-Tien Dang-Nguyen; Michael Riegler 001; Giulia Boato; Martha A. Larson (CrowdMM, 2014)

Event Understanding in Endoscopic Surgery Videos. - Mario Guggenberger; Michael Riegler 001; Mathias Lux; Pål Halvorsen (HuEvent@MM, 2014)

Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling. - Babak Loni; Jonathon S. Hare; Mihai Georgescu; Michael Riegler 001; Xiaofei Zhu; Mohamed Morchid; Richard Dufour; Martha A. Larson (CrowdMM, 2014)

How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images. - Michael Riegler 001; Martha A. Larson; Mathias Lux; Christoph Kofler (ACM Multimedia, 2014)

Gone: an interactive experience for two people. - Michael Riegler 001; Mathias Lux; Christian Zellot; Lukas Knoch; Horst Schnattler; Sabrina Napetschnig; Julian Kogler; Claus Degendorfer; Norbert Spot; Manuel Zoderer (ACM Multimedia, 2014)

Fashion 10000: an enriched social image dataset for fashion and clothing. - Babak Loni; Lei Yen Cheung; Michael Riegler 001; Alessandro Bozzon; Luke R. Gottlieb; Martha A. Larson (MMSys, 2014)

Mobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception. - Michael Riegler 001; Ragnhild Eg; Mathias Lux; Markus Schicho (SocInfo Workshops, 2014)

Crowdpinion: Motivating People to Share their Momentary Opinion. - Marek Machnik; Michael Riegler 001; Sagar Sen (GamifIR@ECIR, 2015)

Scientific Hangman: Gamifying Scientific Evidence for General Public. - Waqas Moazzam; Michael Riegler 001; Sagar Sen; Mari Nygård (GamifIR@ECIR, 2015)

Playing Around the Eye Tracker - A Serious Game Based Dataset. - Michael Riegler 001; Ragnhild Eg; Lilian Calvet; Mathias Lux; Pål Halvorsen; Carsten Griwodz (GamifIR@ECIR, 2015)

Verifying Multimedia Use at MediaEval 2015. - Christina Boididou; Katerina Andreadou; Symeon Papadopoulos; Duc-Tien Dang-Nguyen; Giulia Boato; Michael Riegler 001; Yiannis Kompatsiaris (MediaEval, 2015)

Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation. - Michael Riegler 001; Martha A. Larson; Concetto Spampinato; Jonas Markussen; Pål Halvorsen; Carsten Griwodz (MediaEval, 2015)

Why Design Matters: Crowdsourcing of Complex Tasks. - Bård Winther; Michael Riegler 001; Lilian Calvet; Carsten Griwodz; Pål Halvorsen (CrowdMM@ACM Multimedia, 2015)

Media Synchronization and Sub-Event Detection in Multi-User Image Collections. - Maia Zaharieva; Michael Riegler 001 (HuEvent@ACM Multimedia, 2015)

Expert driven semi-supervised elucidation tool for medical endoscopic videos. - Zeno Albisser; Michael Riegler 001; Pål Halvorsen; Jiang Zhou; Carsten Griwodz; Ilangko Balasingham; Cathal Gurrin (MMSys, 2015)

Exploitation of producer intent in relation to bandwidth and QoE for online video streaming services. - Michael Riegler 001; Lilian Calvet; Amandine Calvet; Pål Halvorsen; Carsten Griwodz (NOSSDAV, 2015)

Crowdsourcing as self-fulfilling prophecy: Influence of discarding workers in subjective assessment tasks. - Michael Riegler 001; Vamsidhar Reddy Gaddam; Martha A. Larson; Ragnhild Eg; Pål Halvorsen; Carsten Griwodz (CBMI, 2016)

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)

ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. - Hugo Jair Escalante; Víctor Ponce-López; Jun Wan 001; Michael A. Riegler; Baiyu Chen; Albert Clapés; Sergio Escalera; Isabelle Guyon; Xavier Baró; Pål Halvorsen; Henning Müller; Martha A. Larson (ICPR, 2016)

Verifying Multimedia Use at MediaEval 2016. - Christina Boididou; Symeon Papadopoulos; Duc-Tien Dang-Nguyen; Giulia Boato; Michael Riegler 001; Stuart E. Middleton; Andreas Petlund; Yiannis Kompatsiaris (MediaEval, 2016)

The VMU Participation @ Verifying Multimedia Use 2016. - Christina Boididou; Symeon Papadopoulos; Stuart E. Middleton; Duc-Tien Dang-Nguyen; Michael Riegler 001; Andreas Petlund; Yiannis Kompatsiaris (MediaEval, 2016)

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

The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation. - Michael Riegler 001; Concetto Spampinato; Martha A. Larson; Carsten Griwodz; Pål Halvorsen (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)

OpenVQ: A Video Quality Assessment Toolkit. - Kristian Skarseth; Henrik Bjørlo; Pål Halvorsen; Michael Riegler 001; Carsten Griwodz (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)

Device lending in PCI express networks. - Lars Bjørlykke Kristiansen; Jonas Markussen; Håkon Kvale Stensland; Michael Riegler 001; Hugo Kohmann; Friedrich Seifert; Roy Nordstrøm; Carsten Griwodz; Pål Halvorsen (NOSSDAV, 2016)

Tiling in Interactive Panoramic Video: Approaches and Evaluation. - Vamsidhar Reddy Gaddam; Michael Riegler 001; Ragnhild Eg; Carsten Griwodz; Pål Halvorsen (IEEE Trans. Multim., 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)

Building a Disclosed Lifelog Dataset: Challenges, Principles and Processes. - Duc-Tien Dang-Nguyen; Liting Zhou; Rashmi Gupta; Michael Riegler 001; Cathal Gurrin (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)

Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization. - Duc-Tien Dang-Nguyen; Luca Piras 001; Michael Riegler 001; Giulia Boato; Liting Zhou; Cathal Gurrin (CLEF (Working Notes), 2017)

Overview of ImageCLEF 2017: Information Extraction from Images. - Bogdan Ionescu; Henning Müller; Mauricio Villegas; Helbert Arenas; Giulia Boato; Duc-Tien Dang-Nguyen; Yashin Dicente Cid; Carsten Eickhoff; Alba Garcia Seco de Herrera; Cathal Gurrin; Md Bayzidul Islam; Vassili Kovalev; et al. (CLEF, 2017)

Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization. - Liting Zhou; Luca Piras 001; Michael Riegler 001; Giulia Boato; Duc-Tien Dang-Nguyen; Cathal Gurrin (CLEF (Working Notes), 2017)

Smart Lifelogging: Recognizing Human Activities using PHASOR. - Minh-Son Dao; Duc-Tien Dang-Nguyen; Michael Riegler 001; Cathal Gurrin (ICPRAM, 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)

The JORD System: Linking Sky and Social Multimedia Data to Natural Disasters. - Kashif Ahmad; Michael Riegler 001; Ans Riaz; Nicola Conci; Duc-Tien Dang-Nguyen; Pål Halvorsen (ICMR, 2017)

LireSolr: A Visual Information Retrieval Server. - Mathias Lux; Michael Riegler 001; Pål Halvorsen; Glenn Macstravic (ICMR, 2017)

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

Multimodal Analysis of Image Search Intent: Intent Recognition in Image Search from User Behavior and Visual Content. - Mohammad Soleymani 001; Michael Riegler 001; Pål Halvorsen (ICMR, 2017)

Medical Multimedia Information Systems (MMIS). - Klaus Schoeffmann; Bernd Münzer; Michael Riegler 001; Pål Halvorsen (ACM Multimedia, 2017)

Finding Equilibrium for Gym Ownership Distribution Based on Game Dynamics in Pokémon Go. - Iffat Ahmed; Michael Riegler 001; Andreas Petlund; Carsten Griwodz; Pål Halvorsen (MMVE@MMSys, 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)

The same, only different: Contrasting mobile operator behavior from crowdsourced dataset. - Konstantinos Kousias; Cise Midoglu; Ozgu Alay; Andra Lutu; Antonios Argyriou; Michael Riegler 001 (PIMRC, 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)

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)

Camera Synchronization for Panoramic Videos. - Vamsidhar Reddy Gaddam; Ragnar Langseth; Håkon Kvale Stensland; Carsten Griwodz; Michael Riegler 001; Tomas Kupka; Håvard Espeland; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (MediaSync, Handbook on Multimedia Synchronization, 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 001 (BHI, 2018)

Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients. - Enrique Garcia-Ceja; Michael Riegler 001; Petter Jakobsen; Jim Tørresen; Tine Nordgreen; Ketil J. Oedegaard; Ole Bernt Fasmer (CBMS, 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)

Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval. - Duc-Tien Dang-Nguyen; Luca Piras 001; Michael Riegler 001; Liting Zhou; Mathias Lux; Cathal Gurrin (CLEF (Working Notes), 2018)

Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. - Bogdan Ionescu; Henning Müller; Mauricio Villegas; Alba Garcia Seco de Herrera; Carsten Eickhoff; Vincent Andrearczyk; Yashin Dicente Cid; Vitali Liauchuk; Vassili Kovalev; Sadid A. Hasan; Yuan Ling; Oladimeji Farri; et al. (CLEF, 2018)

An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding. - Liting Zhou; Luca Piras 001; Michael Riegler 001; Mathias Lux; Duc-Tien Dang-Nguyen; Cathal Gurrin (CLEF (Working Notes), 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)

Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. - Rune Johan Borgli; Pål Halvorsen; Michael Riegler 001; Håkon Kvale Stensland (MediaEval, 2018)

Deep Learning Based Disease Detection Using Domain Specific Transfer Learning. - Steven Alexander Hicks; Pia H. Smedsrud; Pål Halvorsen; Michael Riegler 001 (MediaEval, 2018)

Using Preprocessing as a Tool in Medical Image Detection. - Mathias Kirkerød; Vajira Thambawita; Michael Riegler 001; Pål Halvorsen (MediaEval, 2018)

GameStory Task at MediaEval 2018. - Mathias Lux; Michael Riegler 001; Duc-Tien Dang-Nguyen; Marcus Larson; Martin Potthast; Pål Halvorsen (MediaEval, 2018)

Team ORG @ GameStory Task 2018. - Mathias Lux; Michael Riegler 001; Duc-Tien Dang-Nguyen; Marcus Larson; Martin Potthast; Pål Halvorsen (MediaEval, 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)

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. - Vajira Thambawita; Debesh Jha; Michael Riegler 001; Pål Halvorsen; Hugo Lewi Hammer; Håvard D. Johansen; Dag Johansen (MediaEval, 2018)

Challenges and Opportunities within Personal Life Archives. - Duc-Tien Dang-Nguyen; Michael Riegler 001; Liting Zhou; Cathal Gurrin (ICMR, 2018)

The Importance of Medical Multimedia. - Michael Riegler 001; Pål Halvorsen; Bernd Münzer; Klaus Schoeffmann (ACM Multimedia, 2018)

Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients. - Enrique Garcia-Ceja; Michael Riegler 001; Petter Jakobsen; Jim Tørresen; Tine Nordgreen; Ketil J. Oedegaard; Ole Bernt Fasmer (MMSys, 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)

HINDSIGHT: an R-based framework towards long short term memory (LSTM) optimization. - Konstantinos Kousias; Michael Riegler 001; Özgü Alay; Antonios Argyriou (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)

Multimodal analysis of user behavior and browsed content under different image search intents. - Mohammad Soleymani 001; Michael Riegler 001; Pål Halvorsen (Int. J. Multim. Inf. Retr., 2018)

Mental health monitoring with multimodal sensing and machine learning: A survey. - Enrique Garcia-Ceja; Michael Riegler 001; Tine Nordgreen; Petter Jakobsen; Ketil J. Oedegaard; Jim Tørresen (Pervasive Mob. Comput., 2018)

Image Retrieval Evaluation in Specific Domains. - Luca Piras 001; Barbara Caputo; Duc-Tien Dang-Nguyen; Michael Riegler 001; Pål Halvorsen (Information Retrieval Evaluation in a Changing World, 2019)

Real-time Analysis of Physical Performance Parameters in Elite Soccer. - Kim Andreassen; Dag Johansen; Håvard D. Johansen; Ivan Baptista; Svein Arne Pettersen; Michael Riegler 001; Pål Halvorsen (CBMI, 2019)

Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques. - Rune Johan Borgli; Håkon Kvale Stensland; Pål Halvorsen; Michael Alexander Riegler (CBMI, 2019)

THREAT: A Large Annotated Corpus for Detection of Violent Threats. - Hugo Lewi Hammer; Michael A. Riegler; Lilja Øvrelid; Erik Velldal (CBMI, 2019)

Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety. - Farzan Majeed Noori; Smiti Kahlon; Philip Lindner; Tine Nordgreen; Jim Tørresen; Michael Riegler 001 (CBMI, 2019)

Semantic Analysis of Soccer News for Automatic Game Event Classification. - Aanund Jupskås Nordskog; Pål Halvorsen; Steven Alexander Hicks; Håkon Kvale Stensland; Hugo Lewi Hammer; Dag Johansen; Michael A. Riegler (CBMI, 2019)

GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. - Vajira Thambawita; Hugo Lewi Hammer; Michael Riegler 001; Pål Halvorsen (CBMI, 2019)

Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. - Theodor Wiik; Håvard D. Johansen; Svein Arne Pettersen; Ivan Baptista; Tomas Kupka; Dag Johansen; Michael Riegler 001; Pål Halvorsen (CBMI, 2019)

Performance of Data Enhancements and Training Optimization for Neural Network: A Polyp Detection Case Study. - Fredrik Lund Henriksen; Rune Jensen; Håkon Kvale Stensland; Dag Johansen; Michael Alexander Riegler; Pål Halvorsen (CBMS, 2019)

Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval. - Duc-Tien Dang-Nguyen; Luca Piras 001; Michael Riegler 001; Liting Zhou; Mathias Lux; Minh-Triet Tran; Tu-Khiem Le; Van-Tu Ninh; Cathal Gurrin (CLEF (Working Notes), 2019)

ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. - Bogdan Ionescu; Henning Müller; Renaud Péteri; Yashin Dicente Cid; Vitali Liauchuk; Vassili Kovalev; Dzmitri Klimuk; Aleh Tarasau; Asma Ben Abacha; Sadid A. Hasan; Vivek V. Datla; Joey Liu; et al. (CLEF, 2019)

LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System. - Van-Tu Ninh; Tu-Khiem Le; Liting Zhou; Luca Piras 001; Michael Riegler 001; Mathias Lux; Minh-Triet Tran; Cathal Gurrin; Duc-Tien Dang-Nguyen (CLEF (Working Notes), 2019)

ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. - Bogdan Ionescu; Henning Müller; Renaud Péteri; Duc-Tien Dang-Nguyen; Luca Piras 001; Michael Riegler 001; Minh-Triet Tran; Mathias Lux; Cathal Gurrin; Yashin Dicente Cid; Vitali Liauchuk; Vassili Kovalev; et al. (ECIR (2), 2019)

Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. - Farzan Majeed Noori; Enrique Garcia-Ceja; Md. Zia Uddin; Michael Riegler 001; Jim Tørresen (IJCNN, 2019)

A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI. - Edvarda Eriksen; Steven Alexander Hicks; Michael Alexander Riegler; Pål Halvorsen; Valentina Carapella (ISM, 2019)

ResUNet++: An Advanced Architecture for Medical Image Segmentation. - Debesh Jha; Pia H. Smedsrud; Michael A. Riegler; Dag Johansen; Thomas de Lange; Pål Halvorsen; Håvard D. Johansen (ISM, 2019)

Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization. - Rune Johan Borgli; Håkon Kvale Stensland; Michael Alexander Riegler; Pål Halvorsen (ISMICT, 2019)

Unsupervised preprocessing to improve generalisation for medical image classification. - Mathias Kirkerød; Rune Johan Borgli; Vajira Thambawita; Steven Alexander Hicks; Michael Alexander Riegler; Pål Halvorsen (ISMICT, 2019)

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)

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)

Using Deep Learning to Predict Motility and Morphology of Human Sperm. - Steven Alexander Hicks; Trine B. Haugen; Pål Halvorsen; Michael Riegler 001 (MediaEval, 2019)

GameStory Task at MediaEval 2019. - Mathias Lux; Michael Riegler 001; Duc-Tien Dang-Nguyen; Johanna Pirker; Martin Potthast; Pål Halvorsen (MediaEval, 2019)

Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality. - Jon-Magnus Rosenblad; Steven Alexander Hicks; Håkon Kvale Stensland; Trine B. Haugen; Pål Halvorsen; Michael Riegler 001 (MediaEval, 2019)

Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. - Vajira Thambawita; Pål Halvorsen; Hugo Hammer; Michael Riegler 001; Trine B. Haugen (MediaEval, 2019)

Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. - Vajira Thambawita; Pål Halvorsen; Hugo Hammer; Michael Riegler 001; Trine B. Haugen (MediaEval, 2019)

Using Mr. MAPP for Lower Limb Phantom Pain Management. - Kanchan Bahirat; Yu-Yen Chung; Thiru Annaswamy; Gargi Raval; Kevin Desai; Balakrishnan Prabhakaran 001; Michael Riegler 001 (ACM Multimedia, 2019)

One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. - Joakim Ihle Frogner; Farzan Majeed Noori; Pål Halvorsen; Steven Alexander Hicks; Enrique Garcia-Ceja; Jim Tørresen; Michael Alexander Riegler (HealthMedia@MM, 2019)

Medical Multimedia Systems and Applications. - Pål Halvorsen; Michael Alexander Riegler; Klaus Schoeffmann (ACM Multimedia, 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)

VISEM: a multimodal video dataset of human spermatozoa. - Trine B. Haugen; Steven Alexander Hicks; Jorunn M. Andersen; Oliwia Witczak; Hugo Lewi Hammer; Rune Johan Borgli; Pål Halvorsen; Michael Riegler 001 (MMSys, 2019)

Summarizing E-sports matches and tournaments: the example of counter-strike: global offensive. - Mathias Lux; Pål Halvorsen; Duc-Tien Dang-Nguyen; Håkon Kvale Stensland; Manoj Kesavulu; Martin Potthast; Michael Riegler 001 (MMVE@MMSys, 2019)

Estimating Downlink Throughput from End-user Measurements in Mobile Broadband Networks. - Konstantinos Kousias; Özgü Alay; Antonios Argyriou; Andra Lutu; Michael Riegler 001 (WOWMOM, 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)

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. - Steven Alexander Hicks; Jorunn M. Andersen; Oliwia Witczak; Vajira Thambawita; Pål Halvorsen; Hugo Lewi Hammer; Trine B. Haugen; Michael A. Riegler (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)

PSYKOSE: A Motor Activity Database of Patients with Schizophrenia. - Petter Jakobsen; Enrique Garcia-Ceja; Lena Antonsen Stabell; Ketil J. Oedegaard; Jan Oystein Berle; Vajira Thambawita; Steven Alexander Hicks; Pål Halvorsen; Ole Bernt Fasmer; Michael Alexander Riegler (CBMS, 2020)

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. - Debesh Jha; Michael A. Riegler; Dag Johansen; Pål Halvorsen; Håvard D. Johansen (CBMS, 2020)

Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. - Bogdan Ionescu; Henning Müller; Renaud Péteri; Asma Ben Abacha; Vivek V. Datla; Sadid A. Hasan; Dina Demner-Fushman; Serge Kozlovski; Vitali Liauchuk; Yashin Dicente Cid; Vassili Kovalev; Obioma Pelka; et al. (CLEF, 2020)

Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data. - Tu-Khiem Le; Van-Tu Ninh; Liting Zhou; Minh-Huy Nguyen-Ngoc; Huu-Duc Trinh; Nguyen-Hien Tran; Luca Piras 001; Michael Riegler 001; Pål Halvorsen; Mathias Lux; Minh-Triet Tran; Graham Healy; et al. (CLEF (Working Notes), 2020)

Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog. - Van-Tu Ninh; Tu-Khiem Le; Liting Zhou; Luca Piras 001; Michael Riegler 001; Pål Halvorsen; Mathias Lux; Minh-Triet Tran; Cathal Gurrin; Duc-Tien Dang-Nguyen (CLEF (Working Notes), 2020)

ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. - Bogdan Ionescu; Henning Müller; Renaud Péteri; Duc-Tien Dang-Nguyen; Liting Zhou; Luca Piras 001; Michael Riegler 001; Pål Halvorsen; Minh-Triet Tran; Mathias Lux; Cathal Gurrin; Jon Chamberlain; et al. (ECIR (2), 2020)

Scalable Infrastructure for Efficient Real-Time Sports Analytics. - Håvard D. Johansen; Dag Johansen; Tomas Kupka; Michael A. Riegler; Pål Halvorsen (ICMI Companion, 2020)

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. - Steven Alexander Hicks; Debesh Jha; Vajira Thambawita; Pål Halvorsen; Hugo Lewi Hammer; Michael A. Riegler (ICPR Workshops (8), 2020)

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Sharib Ali; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Pål Halvorsen (ICPR Workshops (8), 2020)

Vid2Pix - A Framework for Generating High-Quality Synthetic Videos. - Oda Olsen Nedrejord; Vajira Thambawita; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (ISM, 2020)

Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks. - Olav A. Norgård Rongved; Steven Alexander Hicks; Vajira Thambawita; Håkon Kvale Stensland; Evi Zouganeli; Dag Johansen; Michael A. Riegler; Pål Halvorsen (ISM, 2020)

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. - Debesh Jha; Steven Hicks; Krister Emanuelsen; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Michael A. Riegler; Pål Halvorsen (MediaEval, 2020)

Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. - Vajira Thambawita; Steven Hicks; Pål Halvorsen; Michael A. Riegler (MediaEval, 2020)

ACM Multimedia BioMedia 2020 Grand Challenge Overview. - Steven Alexander Hicks; Vajira Thambawita; Hugo Lewi Hammer; Trine B. Haugen; Jorunn M. Andersen; Oliwia Witczak; Pål Halvorsen; Michael A. Riegler (ACM Multimedia, 2020)

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. - Tuan Hoang; Thanh-Toan Do; Ngai-Man Cheung; Michael Riegler 001; Jan Zahálka (ACM Multimedia, 2020)

Reproducibility Companion Paper: Instance of Interest Detection. - Fan Yu 003; Dandan Wang; Haonan Wang; Tongwei Ren; Jinhui Tang 001; Gangshan Wu; Jingjing Chen 001; Michael Riegler 001 (ACM Multimedia, 2020)

Kvasir-SEG: A Segmented Polyp Dataset. - Debesh Jha; Pia H. Smedsrud; Michael A. Riegler; Pål Halvorsen; Thomas de Lange; Dag Johansen; Håvard D. Johansen (MMM (2), 2020)

Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. - Henrik Svoren; Vajira Thambawita; Pål Halvorsen; Petter Jakobsen; Enrique Garcia-Ceja; Farzan Majeed Noori; Hugo Lewi Hammer; Mathias Lux; Michael Alexander Riegler; Steven Alexander Hicks (MMSys, 2020)

PMData: a sports logging dataset. - Vajira Thambawita; Steven Alexander Hicks; Hanna Borgli; Håkon Kvale Stensland; Debesh Jha; Martin Kristoffer Svensen; Svein Arne Pettersen; Dag Johansen; Håvard Dagenborg Johansen; Susann Dahl Pettersen; Simon Nordvang; Sigurd Pedersen; et al. (MMSys, 2020)

PCC arena: a benchmark platform for point cloud compression algorithms. - Cheng-Hao Wu; Chih-Fan Hsu; Ting-Chun Kuo; Carsten Griwodz; Michael Riegler 001; Géraldine Morin; Cheng-Hsin Hsu (MMVE@MMSys, 2020)

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. - Debesh Jha; Anis Yazidi; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (PDCAT, 2020)

Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending. - Jonas Markussen; Lars Bjørlykke Kristiansen; Rune Johan Borgli; Håkon Kvale Stensland; Friedrich Seifert; Michael Riegler 001; Carsten Griwodz; Pål Halvorsen (Clust. Comput., 2020)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. - Debesh Jha; Sharib Ali; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Michael A. Riegler; Pål Halvorsen (CoRR, 2020)

Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility. - Konstantinos Kousias; Apostolos Pappas; Ozgu Alay; Antonios Argyriou; Michael Riegler 001 (CoRR, 2020)

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. - Vajira Thambawita; Debesh Jha; Hugo Lewi Hammer; Håvard D. Johansen; Dag Johansen; Pål Halvorsen; Michael A. Riegler (ACM Trans. Comput. Heal., 2020)

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data. - Enrique Garcia-Ceja; Brice Morin; Anton Aguilar-Rivera; Michael Alexander Riegler (J. Medical Syst., 2020)

Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs. - Farzan Majeed Noori; Michael Riegler 001; Md. Zia Uddin; Jim Tørresen (ACM Trans. Multim. Comput. Commun. Appl., 2020)

User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. - Enrique Garcia-Ceja; Michael Riegler 001; Anders K. Kvernberg; Jim Tørresen (User Model. User Adapt. Interact., 2020)

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. - Debesh Jha; Sharib Ali; Nikhil Kumar Tomar; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (BHI, 2021)

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. - Matthias Boeker; Michael A. Riegler; Hugo Lewi Hammer; Pål Halvorsen; Ole Bernt Fasmer; Petter Jakobsen (CBMS, 2021)

A self-learning teacher-student framework for gastrointestinal image classification. - Henrik L. Gjestang; Steven Alexander Hicks; Vajira Thambawita; Pål Halvorsen; Michael A. Riegler (CBMS, 2021)

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Sharib Ali; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Pål Halvorsen (CBMS, 2021)

DivergentNets:Medical Image Segmentation by Network Ensemble. - Vajira Thambawita; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (EndoCV@ISBI, 2021)

Automated Clipping of Soccer Events using Machine Learning. - Joakim O. Valand; Haris Kadragic; Steven Hicks; Vajira Thambawita; Cise Midoglu; Tomas Kupka; Dag Johansen; Michael A. Riegler; Pål Halvorsen (ISM, 2021)

Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021. - Syed Zohaib Hassan; Kashif Ahmad; Michael Riegler 001; Steven Hicks; Nicola Conci; Pål Halvorsen; Ala I. Al-Fuqaha (MediaEval, 2021)

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. - Steven Hicks; Debesh Jha; Vajira Thambawita; Hugo Hammer; Thomas de Lange; Sravanthi Parasa; Michael Riegler 001; Pål Halvorsen (MediaEval, 2021)

Emotional Mario Task at MediaEval 2021. - Mathias Lux; Michael Riegler 001; Steven Hicks; Duc-Tien Dang-Nguyen; Kristine Jørgensen; Vajira Thambawita; Pål Halvorsen (MediaEval, 2021)

Multimodal Virtual Avatars for Investigative Interviews with Children. - Gunn Astrid Baugerud; Miriam S. Johnson; Ragnhild Klingenberg Røed; Michael E. Lamb; Martine B. Powell; Vajira Thambawita; Steven Alexander Hicks; Pegah Salehi; Syed Zohaib Hassan; Pål Halvorsen; Michael A. Riegler (ICDAR@ICMR, 2021)

ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Cathal Gurrin; Minh-Triet Tran; Nguyen Thanh Binh 001 (ICMR, 2021)

Temperature Forecasting using Tower Networks. - Siri S. Eide; Michael A. Riegler; Hugo Lewi Hammer; John Bjørnar Bremnes (ICDAR@ICMR, 2021)

Pyramidal Segmentation of Medical Images using Adversarial Training. - Espen Naess; Vajira Thambawita; Steven Alexander Hicks; Michael A. Riegler; Pål Halvorsen (ICDAR@ICMR, 2021)

Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. - Tor-Arne S. Nordmo; Aril B. Ovesen; Håvard D. Johansen; Michael A. Riegler; Pål Halvorsen; Dag Johansen (ICDAR@ICMR, 2021)

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. - Enrique Garcia-Ceja; Vajira Thambawita; Steven Alexander Hicks; Debesh Jha; Petter Jakobsen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (MMM (2), 2021)

Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. - Debesh Jha; Sharib Ali; Krister Emanuelsen; Steven Alexander Hicks; Vajira Thambawita; Enrique Garcia-Ceja; Michael A. Riegler; Thomas de Lange; Peter Thelin Schmidt; Håvard D. Johansen; Dag Johansen; Pål Halvorsen (MMM (2), 2021)

HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). - Steven Alexander Hicks; Andrea Stautland; Ole Bernt Fasmer; Wenche Førland; Hugo Lewi Hammer; Pål Halvorsen; Kristin Mjeldheim; Ketil Joachim Oedegaard; Berge Osnes; Vigdis Elin Giæver Syrstad; Michael Alexander Riegler; Petter Jakobsen (MMSys, 2021)

Predicting High Delays in Mobile Broadband Networks. - Azza H. Ahmed; Steven Hicks; Michael Alexander Riegler; Ahmed Elmokashfi (IEEE Access, 2021)

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. - Debesh Jha; Sharib Ali; Nikhil Kumar Tomar; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2021)

Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. - Anastasiia Kolevatova; Michael A. Riegler; Francesco Cherubini; Xiangping Hu; Hugo Lewi Hammer (Big Data Cogn. Comput., 2021)

Prediction of Cloud Fractional Cover Using Machine Learning. - Hanna Svennevik; Michael A. Riegler; Steven Hicks; Trude Storelvmo; Hugo Lewi Hammer (Big Data Cogn. Comput., 2021)

Large scale "speedtest" experimentation in Mobile Broadband Networks. - Cise Midoglu; Konstantinos Kousias; Özgü Alay; Andra Lutu; Antonios Argyriou; Michael Riegler 001; Carsten Griwodz (Comput. Networks, 2021)

Few-shot segmentation of medical images based on meta-learning with implicit gradients. - Rabindra Khadga; Debesh Jha; Sharib Ali; Steven Alexander Hicks; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen (CoRR, 2021)

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. - Sharib Ali; Debesh Jha; Noha M. Ghatwary; Stefano Realdon; Renato Cannizzaro; Osama E. Salem; Dominique Lamarque; Christian Daul; Kim V. Anonsen; Michael A. Riegler; Pål Halvorsen; Jens Rittscher; et al. (CoRR, 2021)

DivergentNets: Medical Image Segmentation by Network Ensemble. - Vajira Thambawita; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (CoRR, 2021)

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. - Vajira Thambawita; Pegah Salehi; Sajad Amouei Sheshkal; Steven Alexander Hicks; Hugo Lewi Hammer; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CoRR, 2021)

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. - Debesh Jha; Sharib Ali; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (CoRR, 2021)

MMSys'21 Grand Challenge on Detecting Cheapfakes. - Shivangi Aneja; Cise Midoglu; Duc-Tien Dang-Nguyen; Michael Alexander Riegler; Pål Halvorsen; Matthias Nießner; Balu Adsumilli; Chris Bregler (CoRR, 2021)

Artificial Intelligence in Dry Eye Disease. - Andrea M. Storås; Inga Strümke; Michael A. Riegler; Jakob Grauslund; Hugo Lewi Hammer; Anis Yazidi; Pål Halvorsen; Kjell G. Gundersen; Tor Paaske Utheim; Catherine Jackson (CoRR, 2021)

2020 CATARACTS Semantic Segmentation Challenge. - Imanol Luengo; Maria Grammatikopoulou; Rahim Mohammadi; Chris Walsh; Chinedu Innocent Nwoye; Deepak Alapatt; Nicolas Padoy; Zhen-Liang Ni; Chen-Chen Fan; Gui-Bin Bian; Zeng-Guang Hou; Heonjin Ha; et al. (CoRR, 2021)

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. - Abhishek Srivastava; Sukalpa Chanda; Debesh Jha; Michael A. Riegler; Pål Halvorsen; Dag Johansen; Umapada Pal 001 (CoRR, 2021)

Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021. - Syed Zohaib Hassan; Kashif Ahmad; Michael A. Riegler; Steven Hicks; Nicola Conci; Pål Halvorsen; Ala I. Al-Fuqaha (CoRR, 2021)

Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. - Olav A. Norgård Rongved; Steven Alexander Hicks; Vajira Thambawita; Håkon Kvale Stensland; Evi Zouganeli; Dag Johansen; Cise Midoglu; Michael A. Riegler; Pål Halvorsen (Int. J. Semantic Comput., 2021)

File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments. - Aril Bernhard Ovesen; Tor-Arne Schmidt Nordmo; Håvard Dagenborg Johansen; Michael Alexander Riegler; Pål Halvorsen; Dag Johansen (Inf., 2021)

Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. - Olav A. Norgård Rongved; Markus Stige; Steven Alexander Hicks; Vajira Lasantha Thambawita; Cise Midoglu; Evi Zouganeli; Dag Johansen; Michael Alexander Riegler; Pål Halvorsen (Mach. Learn. Knowl. Extr., 2021)

AI-Based Video Clipping of Soccer Events. - Joakim Olav Valand; Haris Kadragic; Steven Alexander Hicks; Vajira Lasantha Thambawita; Cise Midoglu; Tomas Kupka; Dag Johansen; Michael Alexander Riegler; Pål Halvorsen (Mach. Learn. Knowl. Extr., 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)

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 2021)

A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. - Debesh Jha; Pia H. Smedsrud; Dag Johansen; Thomas de Lange; Håvard D. Johansen; Pål Halvorsen; Michael A. Riegler (IEEE J. Biomed. Health Informatics, 2021)

A Virtual Reality Talking Avatar for Investigative Interviews of Maltreat Children. - Syed Zohaib Hassan; Pegah Salehi; Michael Alexander Riegler; Miriam Sinkerud Johnson; Gunn Astrid Baugerud; Pål Halvorsen; Saeed Shafiee Sabet (CBMI, 2022)

PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. - Jan Andre Fagereng; Vajira Thambawita; Andrea M. Storås; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CBMS, 2022)

Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. - Felicia Ly Jacobsen; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (CBMS, 2022)

Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning. - Andrea M. Storås; Anders Åsberg; Pål Halvorsen; Michael A. Riegler; Inga Strümke (CBMS, 2022)

Towards an AI-driven talking avatar in virtual reality for investigative interviews of children. - Syed Zohaib Hassan; Pegah Salehi; Ragnhild Klingenberg Røed; Pål Halvorsen; Gunn Astrid Baugerud; Miriam Sinkerud Johnson; Pierre Lison; Michael Riegler 001; Michael E. Lamb; Carsten Griwodz; Saeed Shafiee Sabet (GameSys@MMSys, 2022)

Video Analytics in Elite Soccer: A Distributed Computing Perspective. - Debesh Jha; Ashish Rauniyar; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Pål Halvorsen; Ulas Bagci (SAM, 2022)

Parallel feature selection based on the trace ratio criterion. - Thu Nguyen 001; Thanh Nhan Phan; Van Nhuong Nguyen; Nguyen Thanh Binh 001; Pål Halvorsen; Michael A. Riegler (IJCNN, 2022)

A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar. - Syed Zohaib Hassan; Saeed Shafiee Sabet; Pegah Salehi; Hayley Ko; Ingvild Riiser; Miriam S. Johnson; Gunn Astrid Baugerud; Michael Alexander Riegler; Pål Halvorsen (ISM, 2022)

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. - Cise Midoglu; Andrea M. Storås; Saeed Shafiee Sabet; Malek Hammou; Steven Alexander Hicks; Inga Strümke; Michael Alexander Riegler; Carsten Griwodz; Pål Halvorsen (ISM, 2022)

Detection of Commercial Fishing-related Slipping Events using Multimodal Data. - Tor-Arne S. Nordmo; Martine Mostervik Espeseth; Bjørn Aslak Juliussen; Michael A. Riegler; Dag Johansen (ISM, 2022)

Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. - Birk Torpmann-Hagen; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen; Kyrre Glette (ISM, 2022)

RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. - Azza H. Ahmed; Michael A. Riegler; Steven Alexander Hicks; Ahmed Elmokashfi (KDD, 2022)

NjordVid: A Fishing Trawler Video Analytics Task. - Tor-Arne S. Nordmo; Aril B. Ovesen; Håvard D. Johansen; Dag Johansen; Michael Riegler 001 (MediaEval, 2022)

Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. - Vajira Thambawita; Steven Hicks; Andrea M. Storås; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Hammer; Thu Nguyen 001; Pål Halvorsen; Michael Riegler 001 (MediaEval, 2022)

Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics. - Birk Torpmann-Hagen; Pål Halvorsen; Michael Riegler 001; Dag Johansen (MediaEval, 2022)

Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization. - Ayan Chatterjee; Andreas Prinz 001; Michael Riegler 001 (MeMeA, 2022)

MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. - Vajira Thambawita; Andrea M. Storås; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (HECKTOR@MICCAI, 2022)

ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Cathal Gurrin; Yuta Nakashima; Mianxiong Dong (ICMR, 2022)

Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children. - Pegah Salehi; Syed Zohaib Hassan; Saeed Shafiee Sabet; Gunn Astrid Baugerud; Miriam Sinkerud Johnson; Pål Halvorsen; Michael A. Riegler (ICDAR@ICMR, 2022)

Huldra: a framework for collecting crowdsourced feedback on multimedia assets. - Malek Hammou; Cise Midoglu; Steven Alexander Hicks; Andrea M. Storås; Saeed Shafiee Sabet; Inga Strümke; Michael A. Riegler; Pål Halvorsen (MMSys, 2022)

Automatic thumbnail selection for soccer videos using machine learning. - Andreas Husa; Cise Midoglu; Malek Hammou; Steven Alexander Hicks; Dag Johansen; Tomas Kupka; Michael A. Riegler; Pål Halvorsen (MMSys, 2022)

HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey. - Andreas Husa; Cise Midoglu; Malek Hammou; Pål Halvorsen; Michael A. Riegler (MMSys, 2022)

Njord: a fishing trawler dataset. - Tor-Arne Schmidt Nordmo; Aril Bernhard Ovesen; Bjørn Aslak Juliussen; Steven Alexander Hicks; Vajira Thambawita; Håvard Dagenborg Johansen; Pål Halvorsen; Michael Alexander Riegler; Dag Johansen (MMSys, 2022)

Explainability methods for machine learning systems for multimodal medical datasets: research proposal. - Andrea M. Storås; Inga Strümke; Michael A. Riegler; Pål Halvorsen (MMSys, 2022)

Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm. - Akriti Sharma; Mette H. Stensen; Erwan Delbarre; Momin Naushad Siddiqui; Trine B. Haugen; Michael A. Riegler; Hugo Lewi Hammer (NAIS, 2022)

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. - Andrea M. Storås; Michael A. Riegler; Trine B. Haugen; Vajira Thambawita; Steven Alexander Hicks; Hugo Lewi Hammer; Radhika Kakulavarapu; Pål Halvorsen; Mette H. Stensen (NAIS, 2022)

Human vs. GPT-3: The challenges of extracting emotions from child responses. - Myrthe Lammerse; Syed Zohaib Hassan; Saeed Shafiee Sabet; Michael Alexander Riegler; Pål Halvorsen (QoMEX, 2022)

When Every Millisecond Counts: The Impact of Delay in VR Gaming. - Saeed Shafiee Sabet; Ragnhild Eg; Kjetil Raaen; Muhammad Oasim; Michael Riegler 001; Pål Halvorsen (QoMEX, 2022)

Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews. - Saeed Shafiee Sabet; Cise Midoglu; Syed Zohaib Hassan; Pegah Salehi; Gunn Astrid Baugerud; Carsten Griwodz; Miriam S. Johnson; Michael Alexander Riegler; Pål Halvorsen (QoMEX, 2022)

LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching. - Ayan Chatterjee; Nibedita Pahari; Michael Riegler 001; Andreas Prinz 001 (WiMob, 2022)

Áika: A Distributed Edge System for AI Inference. - Joakim Aalstad Alslie; Aril Bernhard Ovesen; Tor-Arne Schmidt Nordmo; Håvard Dagenborg Johansen; Pål Halvorsen; Michael Alexander Riegler; Dag Johansen (Big Data Cogn. Comput., 2022)

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children. - Pegah Salehi; Syed Zohaib Hassan; Myrthe Lammerse; Saeed Shafiee Sabet; Ingvild Riiser; Ragnhild Klingenberg Røed; Miriam S. Johnson; Vajira Thambawita; Steven Alexander Hicks; Martine B. Powell; Michael E. Lamb; Gunn Astrid Baugerud; et al. (Big Data Cogn. Comput., 2022)

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. - Rabindra Khadka; Debesh Jha; Steven Hicks; Vajira Thambawita; Michael A. Riegler; Sharib Ali; Pål Halvorsen (Comput. Biol. Medicine, 2022)

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. - Sharib Ali; Noha M. Ghatwary; Debesh Jha; Ece Isik-Polat; Gorkem Polat; Chen Yang 026; Wuyang Li; Adrian Galdran; Miguel Ángel González Ballester; Vajira Thambawita; Steven Hicks; Sahadev Poudel; et al. (CoRR, 2022)

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. - Steven Hicks; Andrea M. Storås; Michael Riegler 001; Cise Midoglu; Malek Hammou; Thomas de Lange; Sravanthi Parasa; Pål Halvorsen; Inga Strümke (CoRR, 2022)

Principle Components Analysis based frameworks for efficient missing data imputation algorithms. - Thu Nguyen 001; Hoang Thien Ly; Michael Alexander Riegler; Pål Halvorsen (CoRR, 2022)

Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos. - Vladimir Monakhov; Vajira Thambawita; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

ACM Multimedia Grand Challenge on Detecting Cheapfakes. - Shivangi Aneja; Cise Midoglu; Duc-Tien Dang-Nguyen; Sohail Ahmed Khan; Michael Riegler 001; Pål Halvorsen; Chris Bregler; Balu Adsumilli (CoRR, 2022)

Combining datasets to increase the number of samples and improve model fitting. - Thu Nguyen 001; Rabindra Khadka; Nhan Phan; Anis Yazidi; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

VISEM-Tracking: Human Spermatozoa Tracking Dataset. - Vajira Thambawita; Steven Alexander Hicks; Andrea M. Storås; Thu Nguyen 001; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

Towards the Neuroevolution of Low-level artificial general intelligence. - Sidney Pontes-Filho; Kristoffer Olsen; Anis Yazidi; Michael A. Riegler; Pål Halvorsen; Stefano Nichele (Frontiers Robotics AI, 2022)

Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. - Siri S. Eide; Michael A. Riegler; Hugo Hammer; John Bjørnar Bremnes (Sensors, 2022)

Visual Sentiment Analysis from Disaster Images in Social Media. - Syed Zohaib Hassan; Kashif Ahmad; Steven Hicks; Pål Halvorsen; Ala I. Al-Fuqaha; Nicola Conci; Michael Riegler 001 (Sensors, 2022)

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. - Abhishek Srivastava; Debesh Jha; Sukalpa Chanda; Umapada Pal 001; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Sharib Ali; Pål Halvorsen (IEEE J. Biomed. Health Informatics, 2022)

Artificial Intelligence for Colonoscopy: Past, Present, and Future. - Wallapak Tavanapong; Jung-Hwan Oh 001; Michael A. Riegler; Mohammed Khaleel; Bhuvan Mittal; Piet C. de Groen (IEEE J. Biomed. Health Informatics, 2022)

SoccerMon: A Large-Scale Multivariate Soccer Athlete Health, Performance, and Position Monitoring Dataset. - Cise Midoglu; Matthias Boeker; Andreas Kjæreng Winther; Svein Arne Pettersen; Dag Johansen; Michael Riegler 001; Pål Halvorsen; Steven Hicks (Zenodo, 2022)

VISEM-Tracking. - Vajira Thambawita; Steven Alexander Hicks; Andrea M. Storås; Thu Nguyen 001; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (Zenodo, 2022)

Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. - Thu Nguyen 001; Hoang Thien Ly; Michael Alexander Riegler; Pål Halvorsen; Hugo Lewi Hammer (ACIIDS (Companion), 2023)

Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence. - Fredrik A. Fineide; Andrea M. Storås; Michael A. Riegler; Tor Paaske Utheim (CBMS, 2023)

ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. - Sajad Amouei Sheshkal; Michael Alexander Riegler; Hugo Lewi Hammer (CBMS, 2023)

Man vs. AI: An in silico study of polyp detection performance. - Pia Helen Smedsrud; Håvard Espeland; Tor Jan Derek Berstad; Andreas Petlund; Thomas de Lange; Michael A. Riegler; Pål Halvorsen (CBMS, 2023)

Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence. - Andrea M. Storås; Morten Magnø; Fredrik A. Fineide; Bernd Thiede; Xiangjun Chen; Inga Strümke; Pål Halvorsen; Tor P. Utheim; Michael A. Riegler (CBMS, 2023)

Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract. - Steven Hicks; Andrea M. Storås; Pål Halvorsen; Thomas de Lange; Michael Riegler 001; Vajira Thambawita (CLEF (Working Notes), 2023)

Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Wen-wai Yim; Asma Ben Abacha; Neal Snider; Griffin Adams; Meliha Yetisgen; Johannes Rückert; Alba García Seco de Herrera; Christoph M. Friedrich; Louise Bloch; et al. (CLEF, 2023)

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Adrian Popescu 001; Ahmad Idrissi-Yaghir; Alba García Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Christoph M. Friedrich; George Ioannidis; et al. (ECIR (3), 2023)

Mask-conditioned latent diffusion for generating gastrointestinal polyp images. - Roman Machácek; Leila Mozaffari; Zahra Sepasdar; Sravanthi Parasa; Pål Halvorsen; Michael A. Riegler; Vajira Thambawita (ICDAR@ICMR, 2023)

Combining datasets to improve model fitting. - Thu Nguyen 001; Rabindra Khadka; Nhan Phan; Anis Yazidi; Pål Halvorsen; Michael A. Riegler (IJCNN, 2023)

SmartCrop: AI-Based Cropping of Soccer Videos. - Sayed Mohammad Majidi Dorcheh; Mehdi Houshmand Sarkhoosh; Cise Midoglu; Saeed Shafiee Sabet; Tomas Kupka; Michael A. Riegler; Dag Johansen; Pål Halvorsen (ISM, 2023)

Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa. - Vajira Thambawita; Andrea M. Storås; Tuan-Luc Huynh; Hai-Dang Nguyen; Minh-Triet Tran; Trung-Nghia Le; Pål Halvorsen; Michael Riegler 001; Steven Hicks; Thien-Phuc Tran (MediaEval, 2023)

ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. - Guillaume Habault; Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Yuta Nakashima; Cathal Gurrin (ICMR, 2023)

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. - Debesh Jha; Vanshali Sharma; Neethi Dasu; Nikhil Kumar Tomar; Steven Hicks; Manas Kamal Bhuyan; Pradip K. Das; Michael A. Riegler; Pål Halvorsen; Ulas Bagci; Thomas de Lange (ML4MHD, 2023)

Multimedia Datasets: Challenges and Future Possibilities. - Thu Nguyen 001; Andrea M. Storås; Vajira Thambawita; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (MMM (2), 2023)

Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks. - Alireza Hossein Zadeh Nik; Michael A. Riegler; Pål Halvorsen; Andrea M. Storås (MMM (1), 2023)

Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. - Tor-Arne S. Nordmo; Michael A. Riegler; Håvard D. Johansen; Dag Johansen (MMM (1), 2023)

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. - Michael A. Riegler; Vajira Thambawita; Ayan Chatterjee; Binh T. Nguyen 001; Steven Alexander Hicks; Vibeke Telle-Hansen; Svein Arne Pettersen; Dag Johansen; Ramesh C. Jain; Pål Halvorsen (MMM (1), 2023)

Affect Recognition in Muscular Response Signals. - Matthias Boeker; Petter Jakobsen; Michael A. Riegler; Lena Antonsen Stabell; Ole Bernt Fasmer; Pål Halvorsen; Hugo Lewi Hammer (IEEE Access, 2023)

Efficient quantile tracking using an oracle. - Hugo Lewi Hammer; Anis Yazidi; Michael A. Riegler; Håvard Rue (Appl. Intell., 2023)

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. - Akriti Sharma; Ayaz Z. Ansari; Radhika Kakulavarapu; Mette H. Stensen; Michael A. Riegler; Hugo Lewi Hammer (Big Data Cogn. Comput., 2023)

Conditional expectation for missing data imputation. - Mai Anh Vu; Thu Nguyen 001; Tu T. Do; Nhan Phan; Pål Halvorsen; Michael A. Riegler; Binh T. Nguyen 001 (CoRR, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Grand Challenge On Detecting Cheapfakes. - Duc-Tien Dang-Nguyen; Sohail Ahmed Khan; Cise Midoglu; Michael Riegler 001; Pål Halvorsen; Minh-Son Dao (CoRR, 2023)

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. - Tu T. Do; Mai Anh Vu; Hoang Thien Ly; Thu Nguyen 001; Steven Alexander Hicks; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (CoRR, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

Imputation using training labels and classification via label imputation. - Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler (CoRR, 2023)

Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. - Phuc-Thinh Nguyen; Minh-Son Dao; Michael A. Riegler; Rage Uday Kiran; Thai-Thinh Dang; Duy-Dong Le; Kieu-Chinh Nguyen-Ly; Thanh-Qui Pham; Van-Luong Nguyen (Algorithms, 2023)

GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos. - Vladimir Monakhov; Vajira Thambawita; Pål Halvorsen; Michael A. Riegler (Sensors, 2023)

Affect recognition in muscular response signals. - Matthias Boeker; Petter Jakobsen; Michael Alexander Riegler; Lena Antonsen Stabell; Ole Bernt Fasmer; Pål Halvorsen; Hugo Lewi Hammer (IEEE DataPort, 2023)

Prediction of schizophrenia from activity data using hidden Markov model parameters. - Matthias Boeker; Hugo Lewi Hammer; Michael A. Riegler; Pål Halvorsen; Petter Jakobsen (Neural Comput. Appl., 2023)

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Pål Halvorsen; Sharib Ali (IEEE Trans. Neural Networks Learn. Syst., 2023)

AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. - Ayan Chatterjee; Nibedita Pahari; Andreas Prinz 001; Michael Riegler 001 (BMC Medical Informatics Decis. Mak., 2023)

Overview of ImageCLEFmedical 2024 - Medical Visual Question Answering for Gastrointestinal Tract. - Steven Hicks; Andrea M. Storås; Pål Halvorsen; Michael Riegler 001; Vajira Thambawita (CLEF (Working Notes), 2024)

Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Johannes Rückert; Asma Ben Abacha; Alba García Seco de Herrera; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia Sabrina Schmidt; Tabea Margareta Grace Pakull; et al. (CLEF (2), 2024)

Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Ahmad Idrissi-Yaghir; Ahmedkhan Radzhabov; Alba Garcia Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Benjamin Lecouteux; Benno Stein 001; et al. (ECIR (6), 2024)

Inducing Inductive Bias in Vision Transformer for EEG Classification. - Rabindra Khadka; Pedro G. Lind; Gustavo B. M. Mello; Michael A. Riegler; Anis Yazidi (ICASSP, 2024)

Brain-Inspired Real Time Anomaly Detection System for Mobile Networks. - Azza H. Ahmed; Michael Alexander Riegler (ICC Workshops, 2024)

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. - Tu T. Do; Anh M. Vu; Tuan L. Vo; Hoang Thien Ly; Thu Nguyen 001; Steven Hicks; Pål Halvorsen; Michael Riegler 001; Binh T. Nguyen 001 (IJCNN, 2024)

Soccer-GraphRAG: Applications of GraphRAG in Soccer. - Zahra Sepasdar; Sushant Gautam; Cise Midoglu; Michael A. Riegler; Pål Halvorsen (IRonGraphs, 2024)

SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset. - Sushant Gautam; Mehdi Houshmand Sarkhoosh; Jan Held; Cise Midoglu; Anthony Cioppa; Silvio Giancola; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen; Mubarak Shah (ISM, 2024)

Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024. - Duc-Tien Dang-Nguyen; Sohail Ahmed Khan; Michael Riegler 001; Pål Halvorsen; Anh-Duy Tran; Minh-Son Dao; Minh-Triet Tran (ICMR, 2024)

ICDAR 24: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Hanh-Nhi Tran; Rage Uday Kiran; Takahiro Komamizu (ICMR, 2024)

E2Evideo: End to End Video and Image Pre-processing and Analysis Tool. - Faiga Alawad; Pål Halvorsen; Michael A. Riegler (MMM (4), 2024)

Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes. - Aril Bernhard Ovesen; Tor-Arne Schmidt Nordmo; Michael Alexander Riegler; Pål Halvorsen; Dag Johansen (MMM (3), 2024)

Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods. - Nhat-Hao Pham; Khanh-Linh Vo; Mai Anh Vu; Thu Nguyen 001; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (MMM (4), 2024)

AI-Based Cropping of Soccer Videos for Different Social Media Representations. - Mehdi Houshmand Sarkhoosh; Sayed Mohammad Majidi Dorcheh; Cise Midoglu; Saeed Shafiee Sabet; Tomas Kupka; Dag Johansen; Michael A. Riegler; Pål Halvorsen (MMM (4), 2024)

Predictive Modelling of Muscle Fatigue in Climbing. - Matthias Boeker; Dana Swarbrick; Ulysse Côté Allard; Michael Alexander Riegler; Pål Halvorsen; Hugo Lewi Hammer (MMSports@MM, 2024)

TACDEC: Dataset of Tackle Events in Soccer Game Videos. - Evan Jåsund Kassab; Håkon Maric Solberg; Sushant Gautam; Saeed Shafiee Sabet; Thomas Torjusen; Michael Riegler 001; Pål Halvorsen; Cise Midoglu (MMSys, 2024)

Immersive Virtual Reality in Child Interview Skills Training: A Comparison of 2D and 3D Environments. - Pegah Salehi; Syed Zohaib Hassan; Gunn Astrid Baugerud; Martine B. Powell; M. Cayetana López Cano; Miriam S. Johnson; Ragnhild Klingenberg Røed; Dag Johansen; Saeed Shafiee Sabet; Michael A. Riegler; Pål Halvorsen (MMVE@MMSys, 2024)

An Intent-based Networks Framework based on Large Language Models. - Ahlam Fuad; Azza H. Ahmed; Michael A. Riegler; Tarik Cicic (NetSoft, 2024)

Maleficent Neural Networks, the Embedding of Malware in Neural Networks: A Survey. - Stephanie Zubicueta Portales; Michael Alexander Riegler (IEEE Access, 2024)

A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills. - Pegah Salehi; Syed Zohaib Hassan; Gunn Astrid Baugerud; Martine B. Powell; Miriam S. Johnson; Dag Johansen; Saeed Shafiee Sabet; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2024)

AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations. - Mehdi Houshmand Sarkhoosh; Sayed Mohammad Majidi Dorcheh; Cise Midoglu; Saeed Shafiee Sabet; Tomas Kupka; Dag Johansen; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2024)

A Robust Framework for Distributional Shift Detection Under Sample-Bias. - Birk Torpmann-Hagen; Michael A. Riegler; Pål Halvorsen; Dag Johansen (IEEE Access, 2024)

The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation. - Tuan L. Vo; Quan Huu Do; Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler; Binh T. Nguyen 001 (IEEE Access, 2024)

Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach. - Matthias Boeker; Vajira Thambawita; Michael Riegler 001; Pål Halvorsen; Hugo Lewi Hammer (CoRR, 2024)

Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. - Sajad Amouei Sheshkal; Morten Gundersen; Michael Alexander Riegler; Øygunn Aass Utheim; Kjell Gunnar Gundersen; Hugo Lewi Hammer (CoRR, 2024)

Explainability of Machine Learning Models under Missing Data. - Tuan L. Vo; Thu Nguyen 001; Hugo Lewi Hammer; Michael A. Riegler; Pål Halvorsen (CoRR, 2024)

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Vanshali Sharma; Quoc-Huy Trinh; Koushik Biswas; Hongyi Pan; Ritika Kumari Jha; Gorkem Durak; Alexander Hann; Jonas Varkey; Hang Viet Dao; Long Van Dao; et al. (CoRR, 2024)

Kvasir-VQA: A Text-Image Pair GI Tract Dataset. - Sushant Gautam; Andrea M. Storås; Cise Midoglu; Steven Alexander Hicks; Vajira Thambawita; Pål Halvorsen; Michael A. Riegler (CoRR, 2024)

Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study. - Zahra Sepasdar; Sushant Gautam; Cise Midoglu; Michael A. Riegler; Pål Halvorsen (CoRR, 2024)

Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis. - Pegah Salehi; Sajad Amouei Sheshkal; Vajira Thambawita; Sushant Gautam; Saeed Shafiee Sabet; Dag Johansen; Michael A. Riegler; Pål Halvorsen (CoRR, 2024)

Embryo 2.0: Merging Synthetic and Real Data for Advanced AI Predictions. - Oriana Presacan; Alexandru Dorobantiu; Vajira Thambawita; Michael A. Riegler; Mette H. Stensen; Mario Iliceto; Alexandru C. Aldea; Akriti Sharma (CoRR, 2024)

Missing data imputation for noisy time-series data and applications in healthcare. - Lien P. Le; Xuan-Hien Nguyen Thi; Thu Nguyen 001; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (CoRR, 2024)

OBF-Psychiatric, a motor activity dataset of depressed, schizophrenic, and attention deficit hyperactivity disorder patients. - Michael Riegler 001 (Zenodo, 2024)

TACDEC: Dataset of Tackle Events in Soccer Game Videos. - Evan Jåsund Kassab; Håkon Maric Solberg; Sushant Gautam; Saeed Shafiee Sabet; Thomas Torjusen; Michael Riegler 001; Pål Halvorsen; Cise Midoglu (Zenodo, 2024)

Efficient Estimation of Generative Models Using Tukey Depth. - Minh-Quan Vo; Thu Nguyen 001; Michael A. Riegler; Hugo Lewi Hammer (Algorithms, 2024)

Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes. - Matthias Boeker; Vajira Thambawita; Michael Riegler 001; Cise Midoglu (Zenodo, 2024)

Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes. - Matthias Boeker; Vajira Thambawita; Michael Riegler 001; Cise Midoglu (Zenodo, 2024)

Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes. - Matthias Boeker; Vajira Thambawita; Michael Riegler 001; Cise Midoglu (Zenodo, 2024)

OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD. - Michael Riegler 001 (Zenodo, 2024)

HumanEmbryo2.0. - Oriana Presacan; Alexandru Dorobantiu; Akriti Sharma; Vajira Thambawita; Mette Haug Stensen; Mario Iliceto; Michael Riegler 001; Alexandru C. Aldea (Zenodo, 2024)

POCACO: Polyp Videos for CADe Comparison. - Pia Helen Smedsrud; Nikolaos Papachrysos; Tor Jan Derek Berstad; Thomas de Lange; Kim V. Anonsen; Håvard Espeland; Andreas Petlund; Per Hedenström; Pål Halvorsen; Jonas Varkey; Hugo Lewi Hammer; Michael Riegler 001 (Zenodo, 2024)

AI-Based Cropping of Sport Videos Using SmartCrop. - Sayed Mohammad Majidi Dorcheh; Mehdi Houshmand Sarkhoosh; Cise Midoglu; Saeed Shafiee Sabet; Tomas Kupka; Michael A. Riegler; Dag Johansen; Pål Halvorsen (Int. J. Semantic Comput., 2024)

Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study. - Hanna Borgli; Michael A. Riegler; Håkon Kvale Stensland; Pål Halvorsen (CBMS, 2025)

Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. - Adrian Duric; Jim Tørresen; Michael A. Riegler; Hugo Lewi Hammer (CBMS, 2025)

Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models. - Sushant Gautam; Michael A. Riegler; Pål Halvorsen (CBMS, 2025)

Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Dan-Cristian Stanciu; Alexandra-Georgiana Andrei; Ahmedkhan Radzhabov; Yuri Prokopchuk; Liviu-Daniel Stefan; Mihai Gabriel Constantin; Mihai Dogariu; Vassili Kovalev; Hendrik Damm; Johannes Rückert; et al. (CLEF, 2025)

ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Dan-Cristian Stanciu; Ahmad Idrissi-Yaghir; Ahmedkhan Radzhabov; Alba García Seco de Herrera; Alexandra Andrei; Andrea M. Storås; Asma Ben Abacha; Benjamin Bracke; Benjamin Lecouteux; Benno Stein 001; et al. (ECIR (5), 2025)

Runtime Verification for Deep Learning Systems. - Birk Torpmann-Hagen; Michael A. Riegler; Pål Halvorsen; Dag Johansen (ENASE, 2025)

ICDAR 25: Intelligent Cross-Data Analysis and Retrieval. - Takahiro Komamizu; Marc A. Kastner 001; Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Son Tran (ICMR, 2025)

Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks. - Ayan Chatterjee; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2025)

Runtime Verification for Visual Deep Learning Systems With Loss Prediction. - Birk Torpmann-Hagen; Michael A. Riegler; Pål Halvorsen; Dag Johansen (IEEE Access, 2025)

Multimodal missing data in healthcare: A comprehensive review and future directions. - Lien P. Le; Thu Nguyen 001; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (Comput. Sci. Rev., 2025)

Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps. - Andrea M. Storås; Steffen Mæland; Jonas Isaksen; Steven Alexander Hicks; Vajira Thambawita; Claus Graff; Hugo Lewi Hammer; Pål Halvorsen; Michael Alexander Riegler; Jørgen K. Kanters (J. Am. Medical Informatics Assoc., 2025)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)

DPERC: Direct Parameter Estimation for Mixed Data. - Tuan L. Vo; Quan Huu Do; Uyen Dang; Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler; Binh T. Nguyen 001 (CoRR, 2025)

Principal Components for Neural Network Initialization. - Nhan Phan; Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler (CoRR, 2025)

Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption. - Alireza Hossein Zadeh Nik; Michael A. Riegler; Pål Halvorsen (CoRR, 2025)

SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding. - Sushant Gautam; Cise Midoglu; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen; Mubarak Shah (CoRR, 2025)

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy. - Sushant Gautam; Michael A. Riegler; Pål Halvorsen (CoRR, 2025)

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics. - Michael A. Riegler; Kristoffer H. Hellton; Vajira Thambawita; Hugo Lewi Hammer (CoRR, 2025)

Medico 2025: Visual Question Answering for Gastrointestinal Imaging. - Sushant Gautam; Vajira Thambawita; Michael Riegler 001; Pål Halvorsen; Steven Hicks (CoRR, 2025)

A Comparative Study of Decoding Strategies in Medical Text Generation. - Oriana Presacan; Alireza Nik; Vajira Thambawita; Bogdan Ionescu; Michael Riegler 001 (CoRR, 2025)