Norwegian version
Hugo Lewi Hammer

Hugo Lewi Hammer

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.

Fields of study

Academic disciplines

Statistics

Subject areas

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

Countries

Norway

Research projects

Scientific publications

Sharma, Akriti ; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael ; Hammer, Hugo Lewi (2023). Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. 21 p. Big Data and Cognitive Computing. Vol. 7.
https://doi.org/10.3390/bdcc7020091

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Nguyen, Thu; Andersen, Jorunn Marie ; Witczak, Oliwia ; Haugen, Trine B. ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander (2023). VISEM-Tracking, a human spermatozoa tracking dataset. Scientific Data.
https://doi.org/10.1038/s41597-023-02173-4

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

Nguyen, Thu; Thien Ly, Hoang; Riegler, Michael Alexander ; Halvorsen, Pål ; Hammer, Hugo Lewi (2023). Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. Nguyen, Ngoc-Thanh; Boonsang, Siridech; Fujita, Hamido; Hnatkowska, Bogumila; Hong, Tzung Pei; Pasupa, Kitsuchart (Ed.). Recent Challenges in Intelligent Information and Database Systems. Springer.
https://doi.org/10.1007/978-3-031-42430-4_21

Boeker, Matthias; Jakobsen, Petter; Riegler, Michael ; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål ; Hammer, Hugo Lewi (2023). Affect Recognition in Muscular Response Signals. 14 p. IEEE Access. Vol. 11.
https://doi.org/10.1109/ACCESS.2023.3279720

Storås, Andrea; Riegler, Michael Alexander ; Haugen, Trine B. ; Thambawita, Vajira L B; Hicks, Steven; Hammer, Hugo Lewi ; Kakulavarapu, Radhika; Halvorsen, Pål ; Stensen, Mette Haug (2023). Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. Zouganeli, Evi; Yazidi, Anis; Mello, Gustavo Borges Moreno E; Lind, Pedro (Ed.). Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. Springer Nature.
https://doi.org/10.1007/978-3-031-17030-0_9

Hammer, Hugo Lewi ; Riegler, Michael ; Tjelmeland, Håkon (2023). Approximate Bayesian Inference Based on Expected Evaluations. 22 p. Bayesian Analysis.
https://doi.org/10.1214/23-BA1368

Sheshkal, Sajad Amouei; Riegler, Michael ; Hammer, Hugo Lewi (2023). ML-Peaks: Chip-seq peak detection pipeline using machine learning techniques. Placidi, Giuseppe; González, Alejandro Rodríguez; Sicilia, Rosa; Spiliopoulou, Myra; Almeida, João Rafael; Andrades, José Alberto Benítez (Ed.). Proceedings of the 2023 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS). IEEE conference proceedings.
https://hdl.handle.net/10037/31697

Tveitstøl, Thomas; Tveter, Mats; Pérez T, Ana S.; Hatlestad-Hall, Christoffer; Yazidi, Anis ; Hammer, Hugo Lewi ; Hebold Haraldsen, Ira R. J. (2023). Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. Frontiers in Neuroinformatics. Vol. 17.
https://doi.org/10.3389/fninf.2023.1272791

Thunold, Håvard Horgen; Riegler, Michael ; Yazidi, Anis ; Hammer, Hugo Lewi (2023). A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering. Diagnostics (Basel). Vol. 13.
https://doi.org/10.3390/diagnostics13223413





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