Active Filters

  • (-) Keywords = bias
  • (-) Publication Type = Journal Article
Search Results 1 - 6 of 6
  • RSS Feed
Select Page
Combatting over-specialization bias in growing chemical databases
Dost, K., Pullar-Strecker, Z., Brydon, L., Zhang, K., Hafner, J., Riddle, P. J., & Wicker, J. S. (2023). Combatting over-specialization bias in growing chemical databases. Journal of Cheminformatics, 15(1), 53 (17 pp.). https://doi.org/10.1186/s13321-023-00716-w
Quantification of MR spectra by deep learning in an idealized setting: investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias
Rizzo, R., Dziadosz, M., Kyathanahally, S.  P., Shamaei, A., & Kreis, R. (2023). Quantification of MR spectra by deep learning in an idealized setting: investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. Magnetic Resonance in Medicine, 89(5), 1707-1727. https://doi.org/10.1002/mrm.29561
Towards consistent assessments of in situ radiometric measurements for the validation of fluorescence satellite missions
Buman, B., Hueni, A., Colombo, R., Cogliati, S., Celesti, M., Julitta, T., … Damm, A. (2022). Towards consistent assessments of in situ radiometric measurements for the validation of fluorescence satellite missions. Remote Sensing of Environment, 274, 112984 (17 pp.). https://doi.org/10.1016/j.rse.2022.112984
Precipitation estimates from commercial microwave links: practical approaches to wet-antenna correction
Pastorek, J., Fencl, M., Rieckermann, J., & Bares, V. (2022). Precipitation estimates from commercial microwave links: practical approaches to wet-antenna correction. IEEE Transactions on Geoscience and Remote Sensing, 60, 4104409 (9 pp.). https://doi.org/10.1109/TGRS.2021.3110004
Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model
Dietzel, A., & Reichert, P. (2012). Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model. Environmental Modelling and Software, 38(December), 129-146. https://doi.org/10.1016/j.envsoft.2012.05.007
An efficient monitoring concept with control charts for on-line sensors
Thomann, M., Rieger, L., Frommhold, S., Siegrist, H., & Gujer, W. (2002). An efficient monitoring concept with control charts for on-line sensors. Water Science and Technology, 46(4-5), 107-116. https://doi.org/10.2166/wst.2002.0563