Input selection methods for soft sensor design: A survey
Soft Sensors (SSs) are inferential models used in many industrial fields. They allow for real-
time estimation of hard-to-measure variables as a function of available data obtained from …
time estimation of hard-to-measure variables as a function of available data obtained from …
Variations in sustainable development goal interactions: Population, regional, and income disaggregation
To fulfill the 2030 Agenda, the complexity of sustainable development goal (SDG)
interactions needs to be disentangled. However, this understanding is currently limited. We …
interactions needs to be disentangled. However, this understanding is currently limited. We …
Input selection methods for data-driven Soft sensors design: Application to an industrial process
Abstract Soft Sensors (SSs) are inferential models which are widely used in industry. They
are generally built through data-driven approaches that exploit industry historical databases …
are generally built through data-driven approaches that exploit industry historical databases …
[HTML][HTML] Parallel orthogonal deep neural network
Ensemble learning methods combine multiple models to improve performance by exploiting
their diversity. The success of these approaches relies heavily on the dissimilarity of the …
their diversity. The success of these approaches relies heavily on the dissimilarity of the …
What makes disinformation ads engaging? a case study of Facebook ads from the Russian active measures campaign
This article examines 3,517 Facebook ads created by Russia's Internet Research Agency
(IRA) between June 2015 and August 2017 in its Active Measures disinformation campaign …
(IRA) between June 2015 and August 2017 in its Active Measures disinformation campaign …
On the use of correlation analysis in the estimation of finite-time delay in Soft Sensors design
S Graziani, MG Xibilia - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Finite-time delay characterizes many processes, including industrial ones. Soft Sensors can
take into account the delay and give real-time estimations of process variables. The …
take into account the delay and give real-time estimations of process variables. The …
Facebook ad engagement in the russian active measures campaign of 2016
This paper examines 3,517 Facebook ads created by Russia's Internet Research Agency
(IRA) between June 2015 and August 2017 in its active measures disinformation campaign …
(IRA) between June 2015 and August 2017 in its active measures disinformation campaign …
Unified feature selection and hyperparameter bayesian optimization for machine learning based regression
In this paper we propose a method that is based on Bayesian optimization that performs
feature selection and hyperparameter optimization for training regression models. Without …
feature selection and hyperparameter optimization for training regression models. Without …
О некоторых методических аспектах исследования индивидуальности человека
АЮ Калугин - Психология. Психофизиология, 2019 - cyberleninka.ru
В российской психологии активно изучается индивидуальность человека,
представленная на многих уровнях организации (от биологических до социальных) …
представленная на многих уровнях организации (от биологических до социальных) …
Monte Carlo ensemble correlation coefficient for association detection
W Deebani, NN Kachouie - Communications in Statistics …, 2022 - Taylor & Francis
Data characteristics are often summarized and represented by a set of variables. Identifying
the relationship between these variables is crucial for prediction, hypothesis testing, and …
the relationship between these variables is crucial for prediction, hypothesis testing, and …