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EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

PloS one, 2021-08, Vol.16 (8), p.e0255929-19

2021

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Combining Internal- and External-Training-Loads to Predict Non-Contact Injuries in Soccer

Applied sciences, 2020-08, Vol.10 (15), p.5261

2020

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Sensitivity Analysis of Traffic Sign Recognition to Image Alteration and Training Data Size

Information (Basel), 2024-10, Vol.15 (10), p.621

2024

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The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning

Sports medicine - open, 2022-03, Vol.8 (1), Article 29

2022

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Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction

PLOS digital health, 2022-10, Vol.1 (10), p.e0000115-e0000115

2022

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Thickness measurement by model-based exhaustive analysis in far-infrared

Infrared physics & technology, 2021-08, Vol.116, p.103742, Article 103742

2021

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Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches

Information processing & management, 2021-11, Vol.58 (6), p.102721, Article 102721

2021

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Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy

Knowledge-based systems, 2022-06, Vol.245, p.108560, Article 108560

2022

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Predictive modeling of the ratings of perceived exertion during training and competition in professional soccer players

Journal of science and medicine in sport, 2023-06, Vol.26 (6), p.322-327

2023

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Influence of field retting on physicochemical and biological properties of “Futura 75” hemp stems

Industrial crops and products, 2024-08, Vol.214, p.118487, Article 118487

2024

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Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction

PLOS digital health, 2022-10, Vol.1 (10), p.e0000115

2022

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Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation

Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020, Vol.1238, p.368-381

2020

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EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

PloS one, 2021-01, Vol.16 (8), p.e0255929

2021

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Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention

Belief Functions: Theory and Applications, 2022, Vol.13506, p.297-306

2022

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Application of E2M Decision Trees to Rubber Quality Prediction

Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014, p.107-116

2014

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Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018, Vol.853, p.297-309

2018

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The AffectMove Challenge: some machine learning approaches

2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2021, p.01-05

2021

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Learning Decision Trees from Uncertain Data with an Evidential EM Approach

2013 12th International Conference on Machine Learning and Applications, 2013, Vol.1, p.111-116

2013

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Training and Evaluating Classifiers from Evidential Data: Application to E2M Decision Tree Pruning

Belief Functions: Theory and Applications, 2014, p.87-94

2014

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EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

Combining Internal- and External-Training-Loads to Predict Non-Contact Injuries in Soccer

Sensitivity Analysis of Traffic Sign Recognition to Image Alteration and Training Data Size

The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning

Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction

Thickness measurement by model-based exhaustive analysis in far-infrared

Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches

Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy

Predictive modeling of the ratings of perceived exertion during training and competition in professional soccer players

Influence of field retting on physicochemical and biological properties of “Futura 75” hemp stems

Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction

Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation

EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention

Application of E2M Decision Trees to Rubber Quality Prediction

Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework

The AffectMove Challenge: some machine learning approaches

Learning Decision Trees from Uncertain Data with an Evidential EM Approach

Training and Evaluating Classifiers from Evidential Data: Application to E2M Decision Tree Pruning

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