EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples [PDF]
Recent studies have highlighted the vulnerability of deep neural networks (DNNs) to adversarial examples — a visually indistinguishable adversarial image can easily be crafted to cause a well-trained model to misclassify.
Pin-Yu Chen +4 more
semanticscholar +1 more source
Detection of functional and structural brain alterations in female schizophrenia using elastic net logistic regression. [PDF]
Neuroimaging technique is a powerful tool to characterize the abnormality of brain networks in schizophrenia. However, the neurophysiological substrate of schizophrenia is still unclear.
Wu Y +9 more
europepmc +2 more sources
This study builds a predictive model capable of estimating the critical temperature of a superconductor from experimentally determined physico-chemical properties of the material (input variables): features extracted from the thermal conductivity, atomic
P. J. García–Nieto +2 more
semanticscholar +1 more source
Patients with Disorder of Consciousness (DoC) entering Intensive Rehabilitation Units after a severe Acquired Brain Injury have a highly variable evolution of the state of consciousness which is a complex aspect to predict.
Piergiuseppe Liuzzi +12 more
semanticscholar +1 more source
Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness [PDF]
We investigate the learning rate of multiple kernel learning (MKL) with $\ell_1$ and elastic-net regularizations. The elastic-net regularization is a composition of an $\ell_1$-regularizer for inducing the sparsity and an $\ell_2$-regularizer for ...
Sugiyama, Masashi, Suzuki, Taiji
core +2 more sources
High Dimensional QSAR Study of Mild Steel Corrosion Inhibition in acidic medium by Furan Derivatives
The inhibition of mild steel corrosion in 1 M HCl by 17 furan derivatives was investigated experimentally using potentiodynamic polarization measurements. The furan derivatives inhibit the mild steel corrosion. The experimental inhibition efficiency (IE)
Abdo M. Al-Fakih +5 more
doaj +1 more source
Pyglmnet : Python implementation of elastic-net regularized generalized linear models [PDF]
Graceful handling of small Hessian term in coordinate descent solver that led to exploding update term Ensure full compatibility of GLM class with scikit ...
Achakulvisut, Titipat +21 more
core +1 more source
Elastic Net Constraints for Shape Matching [PDF]
We consider a parametrized relaxation of the widely adopted quadratic assignment problem (QAP) formulation for minimum distortion correspondence between deformable shapes. In order to control the accuracy/sparsity trade-off we introduce a weighting parameter on the combination of two existing relaxations, namely spectral and game-theoretic.
Rodola, Emanuele +4 more
openaire +1 more source
Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net [PDF]
This study was conducted to determine the inner quality characteristics of eggs using external egg quality characteristics. The variables were selected in order to obtain the simplest model using ridge, LASSO and elastic net regularization methods ...
M. N. Çiftsüren, S. Akkol
doaj +1 more source
On the adaptive elastic-net with a diverging number of parameters [PDF]
We consider the problem of model selection and estimation in situations where the number of parameters diverges with the sample size. When the dimension is high, an ideal method should have the oracle property [J. Amer. Statist. Assoc.
Zhang, Hao Helen, Zou, Hui
core +2 more sources

