@incollection{NIPS2017_7062, title = {A Unified Approach to Interpreting Model Predictions}, author = {Lundberg, Scott M and Lee, Su-In}, booktitle = {Advances in Neural Information Processing Systems 30}, editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. ...
Methods The objective of this work is to identify and quantify the effect that various socio-economic variables have in determining the risk class associated with each European region. To achieve this goal we opted for a classification-based machine learning approach, using models that provide some...
The TCR integrates forces in its triggering process upon interaction with pMHC. Force elicits TCR catch-slip bonds with strong pMHCs but slip-only bonds with weak pMHCs. We develop two models and apply them to analyze 55 datasets, demonstrating the models’ ability to quantitatively integrate and...
(2019). A new transparent ensemble method based on deep learning. Procedia Computer Science, 159, 271–280. Article Google Scholar Marginean, A., Groza, A., Nicoara, S. D., Muntean, G., Slavescu, R. R., & Letia, I. A. (2019). Towards balancing the complexity of convolutional ...
Ensemble-based and single machine-learning classifiers were utilized; accuracies were evaluated using a confusion-matrix and area under the curve (AUC) of a sensitivityspecificity plot. Results: We evaluated 42 COPD patients with three year follow-up data, 27 of whom (9 Females/18 Males, 66...
A Garrett–Munk model (GM76) with a shear-to-strain ratio Rω = 3 (see Eq. (6) in "Methods"). B Spectrum with larger near-inertial peak (Rω = 7.3). The frequency and wavenumber energy spectra are shown at the bottom and the left of (A, B), with dashed grey lines ...
Research published as Feil, F., Naumov, S., Michaelis, J., Valiullin, R., Enke, D., Kärger, J. and Bräuchle, C. (2011),Single-Particle and Ensemble Diffusivities—Test of Ergodicity.Angewandte Chemie. Filed inBy Peter Rowlett,Edited by Samuel Hansen|Taggednews,press release,researc...
While SHAP values can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods (Tree SHAP arXiv paper). Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, and scikit-learn tree models: import xgboost import sh...
This article considers gain in the broadest sense, encompassing all mechanisms by which a single neuron, or ensemble of neurons, increases the ratio of the response it elicits in its onward targets to the combined ascending inputs it receives. Its principal consideration is evidence linking gain ...
The number of patterns in each session was selected using an unsupervised cross-validation procedure (10.2 ± 0.6 across 33 sessions, which ranged from 6 to 22 patterns; Figure S2A; STAR Methods) and did not depend on ensemble size (Figure S2B). The identity and order of inferred patterns ...