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Hugo Lewi Hammer

Hugo Lewi Hammer

Job title
  • Professor
Visiting address
  • Pilestredet 35, 0166 Oslo
  • Office number: PS327
Phone
  • Mobile: +47 452 10 184
  • Office: +47 672 38 692
E-mail
  • hugo.hammer@oslomet.no
Affiliation

About

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.

Field of study

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

Research groups

Research projects

Completed research projects

Publications and research

Scientific publications

Duric, Adrian; Tørresen, Jim; Riegler, Michael ; Hammer, Hugo Lewi (2025). Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. IEEE International Symposium on Computer-Based Medical Systems.
https://doi.org/10.1109/CBMS65348.2025.00125

Thune, Noora Helene; Kristensen, Anna Tostrup; Sehic, Amer; Brox, Julie Marie Haabeth; Utheim, Tor Paaske ; Hammer, Hugo Lewi ; Khan, Qalbi (2025). Comparing the Effectiveness of Human Extracted Teeth and Plastic Teeth in Teaching Dental Anatomy. Dentistry Journal. Vol. 13.
https://doi.org/10.3390/dj13030105

Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål ; Varkey, Jonas; Hammer, Hugo Lewi ; Riegler, Michael Alexander ; Lange, Thomas de (2025). A comparative study benchmarking colon polyp with computer-aided detection (CADe) software. DEN Open. Vol. 5.
https://doi.org/10.1002/deo2.70061

Tveter, Mats; Tveitstøl, Thomas; Hatlestad-Hall, Christoffer; Teseyra, Ana Silvina Pérez; Taubøll, Erik; Yazidi, Anis ; Hammer, Hugo Lewi ; Haraldsen, Ira Hebold (2024). Advancing EEG prediction with deep learning and uncertainty estimation. Brain Informatics. Vol. 11.
https://doi.org/10.1186/s40708-024-00239-6

Yazidi, Anis ; Hammer, Hugo Lewi ; Leslie, David S. (2024). A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem. IEEE Transactions on Systems, Man & Cybernetics. Systems. Vol. 54.
https://doi.org/10.1109/TSMC.2024.3414832

Sheshkal, Sajad Amouei; Gundersen, Morten Pensgård; Riegler, Michael ; Utheim, Øygunn Aass; Gundersen, Kjell Gunnar; Rootwelt, Helge; Elgstøen, Katja B. Prestø; Hammer, Hugo Lewi (2024). Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. Diagnostics (Basel). Vol. 14.
https://doi.org/10.3390/diagnostics14232696

Boeker, Matthias; Swarbrick, Dana; Côté-Allard, Ulysse; Riegler, Michael ; Halvorsen, Pål ; Hammer, Hugo Lewi (2024). Predictive Modelling of Muscle Fatigue in Climbing. Lienhart, Rainer; Moeslund, Thomas B.; Saito, Hideo (Ed.). MMSports '24: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports. p. 7-15. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3689061.3689066

Sharma, Akriti; Kakulavarapu, Radhika; Alawad, Faiga Mohammad Mohammad Ahmed; Iliceto, Mario; Riegler, Michael Alexander ; Stensen, Mette Haug; Hammer, Hugo Lewi (2024). Exploring Embryo Development at the Morula Stage - an AI-based Approach to Determine Whether to Use or Discard an Embryo. Ogul, Hasan; Moræus, Jonas Aamodt (Ed.). 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI). IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/ICAPAI61893.2024.10541175

Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael ; Hammer, Hugo Lewi (2024). Efficient Estimation of Generative Models Using Tukey Depth. Algorithms. Vol. 17.
https://doi.org/10.3390/a17030120

Svennevik, Hanna; Hicks, Steven; Riegler, Michael ; Storelvmo, Trude; Hammer, Hugo Lewi (2024). A dataset for predicting cloud cover over Europe. Scientific Data. Vol. 11.
https://doi.org/10.1038/s41597-024-03062-0



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These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Research reports

Hammer, Hugo Lewi ; Riegler, Michael Alexander ; Delbarre, Erwan ; Stensen, Mette Haug; Sharma, Akriti (2025). Application of Artificial Intelligence in Assisted Reproductive Technology. OsloMet - storbyuniversitetet.

Filho, Sidney Pontes; Nichele, Stefano ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 9788232669530. Norges teknisk-naturvitenskapelige universitet.

Thambawita, Vajira; Jha, Debesh; Riegler, Michael ; Halvorsen, Pål ; Hammer, Hugo Lewi ; Johansen, Håvard D.; Johansen, Dag (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. 3 p. MediaEval 2018, arXiv:1810.13278, Cornell University.

Hammer, Hugo Lewi ; Haugan, John (2013). Matematikk og beregninger. 350 p. Høgskolen i Oslo og Akershus.

Mørken, Knut Martin; Malthe-Sørensen, Anders; Simonsen, Ingve; Hammer, Hugo Lewi ; Vatne, Jon Eivind; Nøst, Elisabeth; Løyning, Terje Brinck; Dahl, Lars Oswald; Sasaki, Nina (2011). Computing in Science Education. A guide for universities and colleges in Norway. 34 p. Universitetet i Oslo.

Mørken, Knut Martin; Simonsen, Ingve; Malthe-Sørensen, Anders; Hammer, Hugo Lewi ; Løyning, Terje Brinck; Vatne, Jon Eivind; Nøst, Elisabeth; Dahl, Lars Oswald; Sasaki, nina (2011). Beregninsorientert utdanning: En veileder for universiteter og høgskoler i Norge. 34 p. Universitetet i Oslo.

Hammer, Hugo Lewi (2008). Topics in stochastic simulation, with an application to seismic inversion. Norges teknisk-naturvitenskapelige universitet.



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål ; Varkey, Jonas; Hammer, Hugo Lewi ; Riegler, Michael ; Lange, Thomas de (2024). A comparative study benchmarking colon polyp detection with CADe software. Endoscopy. Vol. S02.
https://doi.org/10.1055/s-0044-1782889

Storås, Andrea; Fineide, Fredrik; Hammer, Hugo Lewi ; Khan, Ayyad Ahmad Zartasht; Magnø, Morten Schjerven; Chen, Xiangjun; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout. Investigative Ophthalmology and Visual Science.

Fineide, Fredrik; Storås, Andrea; Magnø, Morten Schjerven; Hammer, Hugo Lewi ; Chen, Xiangjun; Khan, Ayyad Ahmad Zartasht; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Predicting the degree of meibomian gland dropout with artificial intelligence. Investigative Ophthalmology and Visual Science.

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Haugen, Trine B. ; Hammer, Hugo Lewi ; Nguyen, Thu; Halvorsen, Pål ; Riegler, Michael Alexander (2023). Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. CEUR Workshop Proceedings.
https://2022.multimediaeval.com/paper5501.pdf

Thambawita, Vajira; Hicks, Steven A.; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Nguyen, Thu; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael ; Halvorsen, Pål (2023). Medico multimedia task at MedialEval: transparent tracking of spermatozoa. 22nd European Testis Workshop. European Testis Workshops/EMBO.

Hicks, Steven; Thambawita, Vajira L B; Storås, Andrea; Haugen, Trine B. ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Stensen, Mette Haug (2022). P-272 Automatic Tracking of the ICSI procedure using Deep Learning. Human Reproduction. Vol. 37.
https://doi.org/10.1093/humrep/deac107.261

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Witczak, Oliwia ; Andersen, Jorunn Marie ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Haugen, Trine B. (2022). P-108 Real-time deep learning based multi object tracking of spermatozoa in fresh samples. Human Reproduction.
https://doi.org/10.1093/humrep/deac107.104

Sharma, Akriti; Kakulavarapu, Radhika; Thambawita, Vajira L B; Siddiqui, M.; Delbarre, Erwan ; Riegler, Michael; Hammer, Hugo Lewi ; Stensen, Mette Haug (2022). Automating tracking of cell division for human embryo development in time lapse videos. Human Reproduction. Vol. 37.
https://doi.org/10.1093/humrep/deac107.233

Thambawita, Vajira L B; Haugen, Trine B. ; Stensen, Mette Haug; Witczak, Oliwia ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael A. (2021). Identification of spermatozoa by unsupervised learning from video data. ESHRE virtual 37th Annual Meeting. European Society of Human Reproduction and Embryology.

Sharma, Akriti; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael A.; Stensen, Mette Haug (2021). Towards better explainable deep learning models for embryo selection in ART. ESHRE virtual 37th Annual Meeting. European Society of Human Reproduction and Embryology.



See all publications


These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.
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