Norwegian version
Hugo Lewi Hammer

Hugo Lewi Hammer


Hammer has a master in industrial mathematics from 2003 and a PhD in computational statistics from 2008. His main research interests are within improving reliability and transparency of machine learning, reinforcement learning and deep learning models by developing methods within model interpretation, uncertainty quantification, robust statistics and causal inference.

Fields of study

Academic disciplines


Subject areas

Bayesian statistics   Regression   Artificial intelligence   Machine learning   Applied statistics   Stochastic simulation   Big Data



Scientific publications

Boeker, Matthias; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; Jakobsen, Petter (2022). Prediction of schizophrenia from activity data using hidden Markov model parameters. Neural computing & applications (Print) .

Thambawita, Vajira L B; Salehi, Pegah; Sheshkal, Sajad Amouei; Hicks, Steven; Hammer, Hugo Lewi; Parasa, Sravanthi; de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (2022). SinGAN-Seg: Synthetic training data generation for medical image segmentation. PLOS ONE . Vol. 17.

Hammer, Hugo Lewi; Yazidi, Anis; Riegler, Michael; Rue, Håvard (2022). Efficient quantile tracking using an oracle. 12 p. Applied intelligence (Boston) .

Eide, Siri Sofie; Riegler, Michael; Hammer, Hugo Lewi; Bremnes, John Bjørnar (2022). Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. Sensors . Vol. 22.

Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (2022). Estimating Tukey depth using incremental quantile estimators. 11 p. Pattern Recognition . Vol. 122.

Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (2021). Artificial intelligence in dry eye disease. The ocular surface . Vol. 23.

Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (2021). Joint tracking of multiple quantiles through conditional quantiles. Information Sciences . Vol. 563.

Garcia-Ceja, Enrique; Thambawita, Vajira L B; Hicks, Steven; Jha, Debesh; Jakobsen, Petter; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (2021). HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. Lecture Notes in Computer Science (LNCS) . Vol. 12573.

Boeker, Matthias; Riegler, Michael; Hammer, Hugo Lewi; Halvorsen, Pål; Fasmer, Ole Bernt; Jakobsen, Petter (2021). Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. Almeida, João Rafael; González, Alejandro Rodríguez; Shen, Linling (Ed.). Proceeding of 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). Artikkel. IEEE conference proceedings.

Thambawita, Vajira L B; Isaksen, Jonas L.; Hicks, Steven A.; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Strümke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pål; Riegler, Michael A.; Kanters, Jørgen K. (2021). DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. 8 p. Scientific Reports . Vol. 11.

These publications are obtained from Cristin. The list may be incomplete