Automated machine learning (AutoML) aims to find optimal solutions automatically given a problem description, its task type, and datasets. It could release the burden of data scientists from multifarious manual tuning process enable access domain experts off-the-shelf without extensive experience. In this paper, we portray AutoML as bi-level optimization problem, where one is nested within anot...

exploiting multimodal information like acceleration and heart rate is a promising method to achieve human action recognition. a semi-supervised action recognition approach aucc (action understanding with combinational classifier) using the diversity of base classifiers to create a high-quality ensemble for multimodal human action recognition is proposed in this paper. furthermore, both labeled ...

The Compact Muon Solenoid (CMS) is one of the general purpose detectors at CERN Large Hadron Collider (LHC), where products proton–proton collisions center mass energy up to 13.6 TeV are reconstructed. electromagnetic calorimeter (ECAL) crucial components CMS since it reconstructs energies and positions electrons photons. Even though several Machine Learning (ML) algorithms have been already us...

In this work, several machine learning techniques are presented for nanofiltration modeling. According to the results, specific errors are defined. The rejection due to Nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. Methods of machine learning represent the rejection of nanofiltration as a function of concentration, pH, pressure and also ...