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Ensemble learning application to discover new trypanothione synthetase inhibitors
(Springer, 2021-07-15)
Trypanosomatid-caused diseases are among the neglectedinfectious diseases with the highest disease burden, affecting about 27 millionpeople worldwide and, in particular, socio-economically vulnerable populations.Trypanothione ...
Learning Running-time Prediction Models for Gene-Expression Analysis Workflows
(Institute of Electrical and Electronics Engineers, 2015-09)
One of the central issues for the efficient management of Scientific workflow applications is the prediction of tasks performance. This paper proposes a novel approach for constructing performance models for tasks in ...
The wisdom of crowds in forecasting at high-frequency for multiple time horizons: A case study of the Brazilian retail sales
(Lociedade Brasileira de Finanças, 2022)
A rapid refresh ensemble based data assimilation and forecast system for the RELAMPAGO field campaign
(Elsevier, 2021-12)
This paper describes the lessons learned from the implementation of a regional ensemble data assimilation and forecast system during the intensive observing period of the Remote sensing of Electrification, Lightning, And ...
Intelligent agricultural modelling of soil nutrients and ph classification using ensemble deep learning techniques
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach
(BioMed Central, 2019-12)
Background: Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Previously, we had trained an ensemble machine learning model to assign a probability of having ...
Positive predictive value surfaces as a complementary tool to assess the performance of virtual screening methods
(Bentham Science Publishers, 2020-05)
Background: Since their introduction in the virtual screening field, Receiver Operating Characteristic (ROC) curve-derived metrics have been widely used for benchmarking of computational methods and algorithms intended for ...