Results 61 to 70 of about 17,286,028 (305)
Random Forest Similarity Maps: A scalable visual representation for global and local interpretation
, 2021 This Research work focuses on the interpretation and explainability of Random Forest ensemble model using Visual Analytics.Machine Learning prediction algorithms have made significant contributions in today’s world, leading to increased usage in a ...
Mazumdar, Dipankar
core
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
Molecular Oncology, EarlyView.This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests
CoRR33 pages, 12 ...
Roman Hornung, Alexander Hapfelmeier
openaire +2 more sources
, 2017 Random-effects model forest plots showing the impact of allogeneic BT on the survival of PCa patients after RP.
Su-Liang Li (3704542) +2 more
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The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Molecular Oncology, EarlyView.Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
IMFN newsletter, vol. 6, April 2000 : a global future for the IMFN
, 2000 French version available in IDRC Digital Library: Bulletin du RIFM, numéro 6, avril 2000 : un avenir mondial pour le RIFMSpanish version available in IDRC Digital Library: Bolétein de la RED, vol.
International Model Forest Network
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Model forest profiles, 2005 [PDF]
, 2005 Library has Spanish version: Perfiles de bosques modelo, 2005Also part of idrc_number 126403The 34 model forests profiled in this document represent the majority of the IMFN membership as it stood in 2005. They were created as posters for the November
International Model Forest Network Secretariat
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Modelling lake trophic state: A random forest approach [PDF]
Ecosphere, 2015 Productivity of lentic ecosystems is well studied and it is widely accepted that as nutrient inputs increase, productivity increases and lakes transition from lower trophic state (e.g. oligotrophic) to higher trophic states (e.g. eutrophic).
Jeffrey W Hollister +2 more
openaire +2 more sources
Feature importances based on the random forest regressor model.
, 2023 Feature importances based on the random forest regressor model.
Jane A. Dwivedi-Yu (15307239) +4 more
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Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source