1. Psychiatric risk factors in Formula One and the importance of integrating ...
Oct 9, 2024 · This perspective paper details the physiological conditions in F1 and the socioenvironmental pressures that a driver may encounter during their career.
Formula One (F1) racing has recently grown in popularity, extending well beyond its traditional European roots. However, there has been a paucity of scholarl...
2. DeepSig: deep learning improves signal peptide detection in proteins
In this paper, we present DeepSig, a novel approach to predict signal peptides in proteins based on deep learning and sequence labelling methods.
The identification of signal peptides in protein sequences is an important step toward protein localization and function characterization. Here, we present DeepSig, an improved approach for signal peptide detection and cleavage-site prediction based ...
3. Max Montavon - Unifrance
Missing: f1 | Show results with:f1
Located in Paris, Unifrance employs around 50 staff members, as well as representatives based in the U.S. China and Japan. The organisation currently brings together more than 1,000 French cinema and TV content professionals (producers, talents, agents, sales companies, etc.) working together to promote French films and TV programmes among foreign audiences, industry executives and media.
4. HIV Circulating Recombinant Forms (CRFs)
Oct 14, 2024 · HIV Circulating Recombinant Forms (CRFs). This page presents an overview of existing circulating recombinant forms (CRFs).
5. [PDF] Predicting Slowdowns in Decadal Climate Warming Trends With ...
Overall, the network achieves an F1 score of 40% and performs better than random chance (10.4%). While our ANN sometimes struggles with correctly classifying ...
6. [PDF] Outlier Summarization via Human Interpretable Rules
We also calculate the. F1 score at each iteration until the F1 score is larger than F1m. The number of non-“∗” values in the obtained explanation table.
7. [PDF] A Survey on the Explainability of Supervised Machine Learning
A common example of an error measure in binary classification with y ∈ {−1,1} is the hinge loss S(h(x),y) = max ... Montavon et al. (2017) introduces Deep ...
8. [PDF] bbl: Boltzmann Bayes Learner for High-Dimensional Inference with ...
Max. score: 0.7369487 lambda. AUC ci1 ci2. 1 1.000000e-05 0.7184460 0.6861087 ... “A Practical Guide to Training Restricted Boltzmann Machines.” In. G Montavon, ...
9. [PDF] Learning Explanations from Language Data
Our classifier achieves an F1 score of. 0.875 on a fixed test split. We ... Grégoire Montavon, Sebastian Lapuschkin, Alexander. Binder, Wojciech Samek ...
10. [PDF] Multi-Dimensional Explanation of Target Variables from Documents
Moreover, MTM is the first to also achieve the highest F1 scores for all the target variables simultaneously. Introduction. Neural models have become the ...
