Hugo Hammer

H. L. Hammer, M. Riegler and H. Tjelmeland

Approximate Bayesian Inference Based on Expected Evaluation

Bayesian Analysis

A. Storås, F. Fineide, H. L. Hammer, A. Khan, M. Magnø, C. Xiangjung, P. Halvorsen, T. Utheim and M. Riegler

Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout

ARVO Annual Meeting

A. Sharma, M. Stensen, E. Delbarre, M. Siddiqui, T. Haugen, M. Riegler and H. L. Hammer

Detecting human embryo cleavage stages using YOLO v5 object detection algorithm

Nordic Artificial Intelligence Research and Development

A. Storås, F. Fineide, H. L. Hammer, A. Khan, M. Magnø, C. Xiangjung, P. Halvorsen, T. Utheim and M. Riegler

Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout

ARVO Annual Meeting

F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler

Predicting the degree of meibomian gland dropout with artificial intelligence

ARVO Annual Meeting

A. Storås, I. Strümke, M. Riegler, J. Grauslund, H. L. Hammer, A. Yazidi, P. Halvorsen, K. G. Gundersen, T. P. Utheim and C. J. Jackson

Artificial intelligence in dry eye disease

The Ocular Surface

S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes

Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources

Sensors

H. L. Hammer, A. Yazidi, M. Riegler and H. Rue

Efficient quantile tracking using an oracle

Applied Intelligence

V. Thambawita, P. Salehi, S. A. Sheshkal, S. Hicks, H. L. Hammer, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

SinGAN-Seg: Synthetic training data generation for medical image segmentation

PLOS ONE

A. Storås, R. Prabhu, H. L. Hammer and I. Strümke

Bias og kvantitativ analyse innen velferd

Tidsskrift for velferdsforskning

M. Boeker, M. Riegler, H. L. Hammer, P. Jakobsen and P. Halvorsen

Prediction of Schizophrenia from Activity Data using Hidden Markov Model Parameters

Neural Computing and Applications

V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine

Real-time deep learning based multi object tracking of spermatozoa in fresh samples

Human Reproduction

S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction

A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

Human Reproduction

H. L. Hammer, A. Yazidi and H. Rue

Estimating tukey depth using incremental quantile estimators

Pattern Recognition

A. Storås, M. Riegler, T. B. Haugen, V. Thambawita, S. Hicks, H. L. Hammer, R. Kakulavarapu, P. Halvorsen and M. Stensen

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure

NAIS: Symposium of the Norwegian AI Society

A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

Human Reproduction

A. Sharma, M. H. Stensen, E. Delbarre, T. B. Haugen and H. L. Hammer

Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis

Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval

M. Boeker, M. Riegler, H. L. Hammer, P. Halvorsen, O. B. Fasmer and P. Jakobsen

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)

A. A. Mofrad, A. Yazidi, S. A. Mofrad, H. L. Hammer and E. Arntzen

Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes

Neural Computation

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters

DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine

Scientific Reports

M. Riegler, M. H. Stensen, O. Witczak, J. M. Andersen, S. Hicks, H. L. Hammer, E. Delbarre, P. Halvorsen, A. Yazidi, N. Holst and T. B. Haugen

Artificial intelligence in the fertility clinic: status, pitfalls and possibilities

Human Reproduction

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Nature Scientific Reports

H. Svennevik, M. Riegler, S. Hicks, T. Storelvmo and H. L. Hammer

Prediction of Cloud Fractional Cover Using Machine Learning

Big Data and Cognitive Computing

A. Sharma, T. Haugen, H. L. Hammer, M. Riegler and M. Stensen

Towards better explainable deep learning models for embryo selection in ART

Human Reproduction

P. H. Smedsrud, V. Thambawita, S. Hicks, H. Gjestang, O. O. Nedrejord, E. Næss, H. Borgli, D. Jha, T. J. D. Berstad, S. L. Eskeland, M. Lux, H. Espeland, A. Petlund, D. T. D. Nguyen, E. Garcia-Ceja, D. Johansen, P. T. Schmidt, E. Toth, H. L. Hammer, T. de Lange, M. Riegler and P. Halvorsen

Kvasir-Capsule, a video capsule endoscopy dataset

Scientific Data

A. Kolevatova, M. Riegler, F. Cherubini, X. Hu and H. L. Hammer

Unraveling the Impact of Land Cover Changes on Climate using Machine Learning and Explainable Artificial Intelligence

Big Data and Cognitive Computing

H. L. Hammer, A. Yazidi and H. Rue

Joint tracking of multiple quantiles through conditional quantiles

Information Sciences

E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features

27th International Conference on Multimedia Modeling

S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation

Mediaeval Medico 2021

S. Hicks, A. Stautland, O. B. Fasmer, W. Frøland, H. L. Hammer, P. Halvorsen, K. Mjeldheim, K. J. Oedegaard, B. Osnes, V. E. G. Syrstad, M. Riegler and P. Jakobsen

HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD)

Proceedings of the 12th ACM Multimedia Systems Conference (MMSys '21)

S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes

Temperature Forecasting using Tower Networks

Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval

V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler

Identification of spermatozoa by unsupervised learning from video data

37th Virtual Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE)

V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen, H. L. Hammer, P. Halvorsen and M. Riegler

DeepSynthBody: the beginning of the end for data deficiency in medicine

The International Conference on Applied Artificial Intelligence (ICAPAI)

M. Kongshavn, H. Haugerud, A. Yazidi, T. Maseng and H. L. Hammer

Mitigating DDoS using weight-based geographical clustering

Concurrency and Computation: Practice and Experience

A. A. Mofrad, A. Yazidi, H. L. Hammer and E. Arntzen

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

Neural Computation

A. Yazidi, H. L. Hammer, K. Samouylov and E. Herrera-Viedma

Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth

IEEE Transactions on Cybernetics

A. Yazidi, M. A. Pinto-Orellana, H. L. Hammer, P. Mirtaheri and E. Herrera-Viedma

Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics

IEEE Transactions on Cybernetics

M. A. Pinto-Orellana and H. L. Hammer

Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification

IEEE Access

A. Yazidi, A. A. Mofrad, M. Goodwin, H. L. Hammer and E. Arntzen

Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow

Cognitive Neurodynamics

A. Yazidi, I. Hassan, H. L. Hammer and J. Oommen

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

IEEE Transactions on Neural Networks and Learning Systems

V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. Riegler

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification

ACM Transactions on Computing for Healthcare

S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. Mello, I. Sandvig, G. Tufte and S. Nichele

A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

Cognitive Neurodynamics

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

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

Scientific Data

A. A. Mofrad, A. Yazidi, H. L. Hammer and E. Arntzen

Equivalence projective simulation as a framework for modeling formation of stimulus equivalence classes

Neural computation

A. A. Mofrad, A. Yazidi, H. L. Hammer and E. Arntzen

Equivalence projective simulation as a framework for modeling formation of stimulus equivalence classes

Neural computation

S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler and M. Stensen

Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos

S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen and M. Riegler

ACM Multimedia BioMedia 2020 Grand Challenge Overview

Proceedings of the 28th ACM International Conference on Multimedia

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer and M. Riegler

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

25th International Conference on Pattern Recognition (ICPR)

M. A. Pinto-Orellana and H. L. Hammer

Analysis of Optical Brain Signals Using Connectivity Graph Networks

International Cross-Domain Conference for Machine Learning and Knowledge Extraction

H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler and S. Hicks

Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros

The ACM Multimedia Systems Conference (MMSys)

V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen, S. Nordvang, S. Pedersen, A. Gjerdrum, T. Grønli, P. M. Fredriksen, R. Eg, K. Hansen, S. Fagernes, C. Claudi, A. Biørn-Hansen, D. T. D. Nguyen, T. Kupka, H. L. Hammer, R. Jain, M. Riegler and P. Halvorsen

PMData: a sports logging dataset

Proceedings of the 11th ACM Multimedia Systems Conference

S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. Mello, I. Sandvig, G. Tufte and S. Nichele

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality

International Conference on the Applications of Evolutionary Computation (Part of EvoStar)

S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports

N. Tatara, H. L. Hammer, J. Mirkovic, M. K. R. Kjøllesdal and H. K. Andreassen

Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

JMIR public health and surveillance

H. L. Hammer and A. Yazidi

Smooth estimates of multiple quantiles in dynamically varying data streams

Pattern Analysis and Applications

A. Yazidi, H. L. Hammer and T. M. Jonassen

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation

Applied Intelligence

H. L. Hammer, A. Yazidi and H. Rue

A new quantile tracking algorithm using a generalized exponentially weighted average of observations

Applied Intelligence

A. A. Mofrad, A. Yazidi and H. L. Hammer

On solving the SPL problem using the concept of probability flux

Applied Intelligence

M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia and T. Haugen

Artificial intelligence as a tool in predicting sperm motility and morphology: P-116

Human Reproduction

O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler and T. Haugen

Artificial intelligence predicts sperm motility from sperm fatty acids: P-120

Human Reproduction

V. Thambawita, H. L. Hammer, M. Riegler and P. Halvorsen

GANEx: A complete pipeline of training, inference and benchmarking GAN experiments

2019 International Conference on Content-Based Multimedia Indexing (CBMI)

A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler

Semantic Analysis of Soccer News for Automatic Game Event Classification

2019 International Conference on Content-Based Multimedia Indexing (CBMI)

V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen

Stacked dense optical flows and dropout layers to predict sperm motility and morphology

MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France

V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen

Extracting temporal features into a spatial domain using autoencoders for sperm video analysis

MediaEval 2019

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features

MediaEval

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Medico Multimedia Task at MediaEval 2019

MediaEval

T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler

VISEM: a multimodal video dataset of human spermatozoa

Proceedings of the 10th ACM Multimedia Systems Conference

H. L. Hammer, M. Riegler, L. Øvrelid and E. Velldal

THREAT: A Large Annotated Corpus for Detection of Violent Threats

2019 International Conference on Content-Based Multimedia Indexing (CBMI)

V. Thambawita and D. Jha

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

MediaEval 2018