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Machine Learning
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December 15, 2020
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
Mihaela van der Schaar, Ahmed M Alaa, Andres Floto, et al.
Machine Learning
|
October 19, 2021
MLife: a lite framework for machine learning lifecycle initialization
Cong Yang, Wenfeng Wang, Yunhui Zhang, et al.
Machine Learning
|
October 8, 2021
IntelligentPooling: Practical Thompson Sampling for mHealth
Sabina Tomkins, Peng Liao, Predrag Klasnja, et al.
Machine Learning
|
November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification
Blaž Škrlj, Matej Martinc, Nada Lavrač, et al.
Machine Learning
|
November 16, 2020
Embedding-based Silhouette community detection
Blaž Škrlj, Jan Kralj, Nada Lavrač
Machine Learning
|
November 11, 2021
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
Javier Fernández, Luke Bornn, Daniel Cervone
Machine Learning
|
June 28, 2022
Relating instance hardness to classification performance in a dataset: a visual approach
Pedro Yuri Arbs Paiva, Camila Castro Moreno, Kate Smith-Miles, et al.
Machine Learning
|
May 25, 2022
Scrutinizing XAI using linear ground-truth data with suppressor variables
Rick Wilming, Céline Budding, Klaus-Robert Müller, et al.
Machine Learning
|
February 20, 2026
Linear Causal Discovery with Interventional Constraints
Zhigao Guo, Feng Dong
Machine Learning
|
March 13, 2023
Responsible model deployment via model-agnostic uncertainty learning
Preethi Lahoti, Krishna Gummadi, Gerhard Weikum
Page
of 6
Search research articles
Search
Showing results (11-20 of 60) with videos related to
Sort By:
Page
of 6
Machine Learning
|
December 15, 2020
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
Mihaela van der Schaar, Ahmed M Alaa, Andres Floto, et al.
Machine Learning
|
October 19, 2021
MLife: a lite framework for machine learning lifecycle initialization
Cong Yang, Wenfeng Wang, Yunhui Zhang, et al.
Machine Learning
|
October 8, 2021
IntelligentPooling: Practical Thompson Sampling for mHealth
Sabina Tomkins, Peng Liao, Predrag Klasnja, et al.
Machine Learning
|
November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification
Blaž Škrlj, Matej Martinc, Nada Lavrač, et al.
Machine Learning
|
November 16, 2020
Embedding-based Silhouette community detection
Blaž Škrlj, Jan Kralj, Nada Lavrač
Machine Learning
|
November 11, 2021
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
Javier Fernández, Luke Bornn, Daniel Cervone
Machine Learning
|
June 28, 2022
Relating instance hardness to classification performance in a dataset: a visual approach
Pedro Yuri Arbs Paiva, Camila Castro Moreno, Kate Smith-Miles, et al.
Machine Learning
|
May 25, 2022
Scrutinizing XAI using linear ground-truth data with suppressor variables
Rick Wilming, Céline Budding, Klaus-Robert Müller, et al.
Machine Learning
|
February 20, 2026
Linear Causal Discovery with Interventional Constraints
Zhigao Guo, Feng Dong
Machine Learning
|
March 13, 2023
Responsible model deployment via model-agnostic uncertainty learning
Preethi Lahoti, Krishna Gummadi, Gerhard Weikum
Page
of 6