1 |
Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
|
|
|
|
In: https://hal.inria.fr/hal-03550289 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Both the validity of the cultural tightness index and the association with creativity and order are spurious -- a comment on Jackson et al ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Elastic Full Procrustes Analysis of Plane Curves via Hermitian Covariance Smoothing ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Quantitative Evaluation Approach for Translation of Perceptual Soundscape Attributes: Initial Application to the Thai Language ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Évaluation de dispositifs numériques innovants pour l’apprentissage de la lecture et de l’anglais : une expérimentation longitudinale en condition écologique
|
|
|
|
In: SFERE 2021 - 2ème édition du Colloque de SFERE-Provence ; https://hal.univ-grenoble-alpes.fr/hal-03187570 ; SFERE 2021 - 2ème édition du Colloque de SFERE-Provence, Mar 2021, Marseille, France (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Vers une modélisation graphique des applications ubiquitaires basée sur un Dsml intelligent : Covid-19 Contact-Tracer
|
|
|
|
In: Colloque sur les Objets et systèmes Connectés - COC'2021 ; https://hal.archives-ouvertes.fr/hal-03593726 ; Colloque sur les Objets et systèmes Connectés - COC'2021, IUT d'Aix-Marseille, Mar 2021, MARSEILLE, France (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis.
|
|
|
|
In: PloS one, vol 16, iss 12 (2021)
|
|
BASE
|
|
Show details
|
|
8 |
A DMAIC integrated fuzzy FMEA model: A case study in the automotive industry
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles ...
|
|
|
|
Abstract:
In this paper, we extend our PrInDT method (Weihs & Buschfeld 2021a) towards undersampling with different percentages of the smaller and the larger classes (psmall and plarge), stratification of predictors, varying the prediction threshold, and measuring variable importance in ensembles. An application of these methods to a linguistic example suggests the following: 1. In undersampling, a careful selection of the percentages plarge and psmall is important for building models with high balanced accuracies; 2. Stratification of predictors does not majorly enhance balanced accuracies; 3. Lowering the prediction threshold for the smaller class turns out to be an alternative method to undersampling because it increases the likelihood of the smaller class being selected. Finally, we introduce a method for ranking predictor importance that allows for a straightforward interpretation of the results. ...
|
|
Keyword:
Applications stat.AP; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2108.05129 https://arxiv.org/abs/2108.05129
|
|
BASE
|
|
Hide details
|
|
11 |
Combining Prediction and Interpretation in Decision Trees (PrInDT) -- a Linguistic Example ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Damping effect in innovation processes: case studies from Twitter ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Accent translation : improving online learning experience in Africa
|
|
|
|
BASE
|
|
Show details
|
|
18 |
SautiLearn : improving online learning experience with accent translation
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Bayesian Markov Renewal Mixed Models for Vocalization Syntax ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?
|
|
|
|
In: Pediatric research, vol 87, iss 3 (2020)
|
|
BASE
|
|
Show details
|
|
|
|