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

Scientific publications

Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (2021). Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. 17 p. Big Data and Cognitive Computing . Vol. 5.

Riegler, Michael A.; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; holst, nicolai; Haugen, Trine B. (2021). Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction . Vol. 36.

Thambawita, Vajira; Hicks, Steven; Isaksen, Jonas L; Stensen, Mette H.; Haugen, Trine B.; Kanters, Jørgen K; Parasa, Sravanthi; Lange, Thomas de; Johansen, Håvard D.; Johansen, Dag; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael A. (2021). DeepSynthBody: the beginning of the end for data deficiency in medicine. Colomo-Palacios, Ricardo; Ripon, Kazi Shah Nawaz (Ed.). Proceedings of the international conference on Applied Artificial Intelligence (ICAPAI). 10th paper. p. 1-8. IEEE conference proceedings.

Smedsrud, Pia H; Thambawita, Vajira L B; Hicks, Steven; Gjestang, Henrik; Olsen Nedrejord, Oda; Næss, Espen; Borgli, Hanna; Jha, Debesh; Berstad, Tor Jan; Eskeland, Sigrun Losada; Lux, Mathias; Espeland, Håvard; Petlund, Andreas; Dang Nguyen, Duc Tien; Garcia, Enrique; Johansen, Dag; Schmidt, Peter Thelin; Toth, Ervin; Hammer, Hugo Lewi; de Lange, Thomas; Riegler, Michael Alexander; Halvorsen, Pål (2021). Kvasir-Capsule, a video capsule endoscopy dataset. Scientific Data .
http://hdl.handle.net/10852/86287

Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (2021). Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Computation . Vol. 33.
https://hdl.handle.net/11250/2728180

Yazidi, Anis; Hassan, Ismail; Hammer, Hugo Lewi; Oommen, John (2021). Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. IEEE Transactions on Neural Networks and Learning Systems . Vol. 32.
https://hdl.handle.net/11250/2727534

Hicks, Steven; Lasantha Bandara Thambawita, Vajira; Hammer, Hugo Lewi; Haugen, Trine B.; Andersen, Jorunn Marie; Witczak, Oliwia; Halvorsen, Pål; Riegler, Michael (2020). ACM Multimedia BioMedia 2020 Grand Challenge Overview. Qi, Guo-Jun; Ricci, Elisa; Zhang, Zhengyou; Zimmermann, Roger (Ed.). MM '20: Proceedings of the 28th ACM International Conference on Multimedia. Paper. p. 4655-4658. Association for Computing Machinery (ACM).

Lasantha Bandara Thambawita, Vajira; Jha, Debesh; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2020). An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. 29 p. ACM Transactions on Computing for Healthcare. Vol. 1.

Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi; Arntzen, Erik (2020). Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Computation . Vol. 32.
https://hdl.handle.net/11250/2680093

Borgli, Hanna; Lasantha Bandara Thambawita, Vajira; Smedsrud, Pia; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (2020). HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Scientific Data . Vol. 7.
http://hdl.handle.net/10852/82058





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