We propose denoising dictionary learning (DDL), a simple yet effective technique as a protection measure against adversarial perturbations. We examined denoising dictionary learning on MNIST and CIFAR10 perturbed under two different perturbation techniques, fast gradient sign (FGSM) and jacobian saliency maps (JSMA). We evaluated it against five different deep neural networks (DNN) representing...

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

As an implementation of compressive sensing (CS), dual-dictionary learning (DDL) method provides an ideal access to restore signals of two related dictionaries and sparse representation. It has been proven that this method performs well in medical image reconstruction with highly undersampled data, especially for multimodality imaging like CT-MRI hybrid reconstruction. Because of its outstandin...

This article reports a pre–post comparative study investigating whether the data-driven learning (DDL) approach has different pedagogical effects on grammar students of English as foreign language (EFL) with levels proficiency. The entailed treatment group (TG) 95 first-year undergraduates who learned using DDL and control (CG) 84 received no treatment. Most participants were 18 or 19 years old...

D-alanine:D-alanine ligase (EC 6.3.2.4; Ddl) catalyzes the ATP-driven ligation of two D-alanine (D-Ala) molecules to form the D-alanyl:D-alanine dipeptide. This molecule is a key building block in peptidoglycan biosynthesis, making Ddl an attractive target for drug development. D-Cycloserine (DCS), an analog of D-Ala and a prototype Ddl inhibitor, has shown promise for the treatment of tubercul...

Learning a historical language is different from learning modern in view of the emphasis on work texts instead everyday communication. Therefore, not only expectations and motivation differ, but also teaching methodology. Whereas learners languages focus production, Latin read or translate their texts. Because overall low frequency occurrence word phrase this kind environment, most students are...