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V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al.

PMData: a sports logging dataset

In ACM MMSys 2020, 2020.
Proceedings, refereed
2020
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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

In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
Proceedings, refereed
2020
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V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. A. 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 (2020).
Journal Article
2020
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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 9, no. 1 (2019).
Journal Article
2019
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2020

Journal articles

V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. A. 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 (2020).
Status: Accepted

Proceedings, refereed

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

In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
Status: Published
V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al.

PMData: a sports logging dataset

In ACM MMSys 2020, 2020.
Status: Published
2019

Journal articles

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 9, no. 1 (2019).
Status: Published

Proceedings, refereed

M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks and M. Riegler

Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification

In IEEE 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.
Status: Published
V. Thambawita, H. L. Hammer, M. Riegler and P. Halvorsen

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

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Status: Published
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

In MediaEval 2019. CEUR Workshop Proceedings, 2019.
Status: Published
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

In MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France, 2019.
Status: Published
2018

Proceedings, refereed

M. Kirkerød, V. Thambawita, M. Riegler and P. Halvorsen

Using preprocessing as a tool in medical image detection

In MediaEval 2018. Nice, France: MediaEval, 2018.
Status: Published
V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen

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

In MediaEval 2018. Nice, France: MediaEval, 2018.
Status: Published