Minimax TD-Learning with Neural Nets in a Markov Game. - Fredrik A. Dahl; Ole Martin Halck (ECML, 2000)

Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games. - Ole Martin Halck; Fredrik A. Dahl (ECML, 2000)

A Constraint Based Agent Design for Playing a highly complex game. - O. J. Sendstad; Ole Martin Halck; Fredrik A. Dahl (PACPL, 2000)

A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker. - Fredrik A. Dahl (ECML, 2001)

Learning While Exploring: Bridging the Gaps in the Eligibility Traces. - Fredrik A. Dahl; Ole Martin Halck (ECML, 2001)

Variance reduction for Markov chain processes using state space evaluation for control variates. - Fredrik A. Dahl (J. Oper. Res. Soc., 2001)

A Challenge to Formal Modeling of Poker and Bridge. - Fredrik A. Dahl (Games Econ. Behav., 2002)

The Lagging Anchor Algorithm: Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information. - Fredrik A. Dahl (Mach. Learn., 2002)

Representing human uncertainty by subjective likelihood estimates. - Fredrik A. Dahl (Int. J. Approx. Reason., 2005)

How Online Learning Approaches Ornstein Uhlenbeck Processes. - Fredrik A. Dahl (Neural Process. Lett., 2006)

Convergence of random k-nearest-neighbour imputation. - Fredrik A. Dahl (Comput. Stat. Data Anal., 2007)

Simulating the Effect of Physician Triage in the Emergency Department of Akershus University Hospital. - Lene Berge Holm; Fredrik A. Dahl (WSC, 2009)

Simulating the influence of a 45% increase in patient volume on the emergency department of Akershus University Hospital. - Lene Berge Holm; Fredrik A. Dahl (WSC, 2010)

Quantifying Information Content in Survey Data by Entropy. - Fredrik A. Dahl; Nina Østerås (Entropy, 2010)

Using soft systems methodology as a precursor for an emergency department simulation model. - Lene Berge Holm; Fredrik A. Dahl (OR Insight, 2011)

Improving hospital bed utilisation through simulation and optimisation: With application to a 40% increase in patient volume in a Norwegian general hospital. - Lene Berge Holm; Hilde Lurås; Fredrik A. Dahl (Int. J. Medical Informatics, 2013)

Conflicts or synergy when combining modeling approaches - Perspectives from psychology. - Kim Rand-Hendriksen; Joe Viana; Mathias Barra; Fredrik A. Dahl (WSC, 2016)

Do hybrid simulation models always increase flexibility to handle parametric and structural changes? - Joe Viana; Kim Rand-Hendriksen; Tone Breines Simonsen; Mathias Barra; Fredrik A. Dahl (WSC, 2016)

Combining bootstrap-based stroke incidence models with discrete event modeling of travel-time and stroke treatment: Non-normal input and non-linear output. - Kim Rand-Hendriksen; Joe Viana; Fredrik A. Dahl (WSC, 2017)

A Hybrid discrete Event Agent based overdue pregnancy outpatient Clinic simulation Model. - Joe Viana; Tone Breines Simonsen; Fredrik A. Dahl; Kari Flo (WSC, 2018)

Classification of Syncope Cases in Norwegian Medical Records. - Ildikó Pilán; Pål H. Brekke; Fredrik A. Dahl; Tore Gundersen; Haldor Husby; Øystein Nytrø; Lilja Øvrelid (ClinicalNLP@EMNLP, 2020)

Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children. - Fredrik A. Dahl; Taraka Rama; Petter Hurlen; Pål H. Brekke; Haldor Husby; Tore Gundersen; Øystein Nytrø; Lilja Øvrelid (BMC Medical Informatics Decis. Mak., 2021)

A mammography classification model trained from image labels only. - Fredrik A. Dahl; Marit Holden; Olav Brautaset; Line Eikvil (NLDL, 2022)

Unsupervised Domain Adaptation for Breast Cancer Detection in a Multi-Scanner Environment: A Case-Study from Norway. - Alba Ordoñez; Fredrik A. Dahl; Olav Brautaset; Line Eikvil (AIME (1), 2025)

Self-guided SwinTransformer Improves Breast Cancer Detection Through Iterative Attention-Based Zooming. - Fredrik A. Dahl; Solveig Hofvind (MIUA (2), 2025)

Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms. - Fredrik A. Dahl; Amund Vedal; Line Eikvil; Solveig Thrun; Michael Kampffmeyer; Solveig Hofvind (MIUA (2), 2025)