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Hugo Hammer
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Publications
- 2024
- [i12]Matthias Boeker, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach. CoRR abs/2402.17601 (2024) - 2023
- [j31]Matthias Boeker, Petter Jakobsen, Michael A. Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer:
Affect Recognition in Muscular Response Signals. IEEE Access 11: 61914-61928 (2023) - [j27]Matthias Boeker, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen, Petter Jakobsen:
Prediction of schizophrenia from activity data using hidden Markov model parameters. Neural Comput. Appl. 35(8): 5619-5630 (2023) - [d1]Matthias Boeker, Petter Jakobsen, Michael Alexander Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer:
Affect recognition in muscular response signals. IEEE DataPort, 2023 - 2022
- [c55]Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler:
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. MediaEval 2022 - [c52]Andrea M. Storås, Michael A. Riegler, Trine B. Haugen, Vajira Thambawita, Steven Alexander Hicks, Hugo Lewi Hammer, Radhika Kakulavarapu, Pål Halvorsen, Mette H. Stensen:
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. NAIS 2022: 111-121 - [i11]Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
VISEM-Tracking: Human Spermatozoa Tracking Dataset. CoRR abs/2212.02842 (2022) - 2021
- [c51]Matthias Boeker, Michael A. Riegler, Hugo Lewi Hammer, Pål Halvorsen, Ole Bernt Fasmer, Petter Jakobsen:
Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. CBMS 2021: 432-437 - [c50]Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas de Lange, Sravanthi Parasa, Michael Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval 2021 - [c48]Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) 2021: 196-205 - [i10]Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven Alexander Hicks, Hugo Lewi Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. CoRR abs/2107.00471 (2021) - [i9]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:
Artificial Intelligence in Dry Eye Disease. CoRR abs/2109.01658 (2021) - 2020
- [j15]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. ACM Trans. Comput. Heal. 1(3): 17:1-17:29 (2020) - [c45]Steven Alexander Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Michael A. Riegler:
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. ICPR Workshops (8) 2020: 263-274 - [c44]Steven Alexander Hicks, Vajira Thambawita, Hugo Lewi Hammer, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Pål Halvorsen, Michael A. Riegler:
ACM Multimedia BioMedia 2020 Grand Challenge Overview. ACM Multimedia 2020: 4655-4658 - [c43]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, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen:
PMData: a sports logging dataset. MMSys 2020: 231-236 - [c42]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:
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. MMSys 2020: 309-314 - [i7]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. CoRR abs/2005.03912 (2020) - 2019
- [c40]Aanund Jupskås Nordskog, Pål Halvorsen, Steven Alexander Hicks, Håkon Kvale Stensland, Hugo Lewi Hammer, Dag Johansen, Michael A. Riegler:
Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: 1-6 - [c39]Vajira Thambawita, Hugo Lewi Hammer, Michael Riegler, Pål Halvorsen:
GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. CBMI 2019: 1-4 - [c38]Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Medico Multimedia Task at MediaEval 2019. MediaEval 2019 - [c37]Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. MediaEval 2019 - [c36]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. MediaEval 2019 - [c35]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. MediaEval 2019 - [c34]Trine B. Haugen, Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Hugo Lewi Hammer, Rune Johan Borgli, Pål Halvorsen, Michael Riegler:
VISEM: a multimodal video dataset of human spermatozoa. MMSys 2019: 261-266 - [i4]Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Trine B. Haugen, Michael A. Riegler:
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. CoRR abs/1910.13327 (2019) - [i3]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked dense optical flows and dropout layers to predict sperm motility and morphology. CoRR abs/1911.03086 (2019) - [i2]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis. CoRR abs/1911.03100 (2019) - 2018
- [c30]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. MediaEval 2018 - [i1]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. CoRR abs/1810.13278 (2018)
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last updated on 2024-03-30 01:31 CET by the dblp team
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