Traditional Deep Neural Network (DNN) security is mostly related to the well-known adversarial input example attack. Recently, another dimension of attack, namely, attack on DNN weight parameters, has been shown be very powerful. As a representative one, Bit-Flip-based Attack (BFA) injects an extremely small amount faults into parameters hijack executing function. Prior works BFA focus <italic ...

Abstract: Bagging is a device intended for reducing the prediction error of learning algorithms. In its simplest form, bagging draws bootstrap samples from the training sample, applies the learning algorithm to each bootstrap sample, and then averages the resulting prediction rules. More generally, the resample size M may be different from the original sample size N , and resampling can be done...

Blikstein, P. and Wilensky, U. (2006, April). From inert to generative modeling: two case studies of Multi-Agent-Based Simulation in Undergraduate Engineering education. In D. Abrahamson (Org.), U. Wilensky (Chair), and M. Eisenberg (Discussant), Small steps for agents... giant steps for students?: Learning with agent-based models. Symposium conducted at the annual meeting of the American Educa...

Reliable cell segmentation and classification from biomedical images is a crucial step for both scientific research and clinical practice. A major challenge for more robust segmentation and classification methods is the large variations in the size, shape and viewpoint of the cells, combining with the low image quality caused by noise and artifacts. To address this issue, in this work we propos...

In recent years, memristive crossbar-based neuromorphic computing systems (NCS) have obtained extremely high performance in neural network acceleration. However, adversarial attacks and conductance variations of memristors bring reliability challenges to NCS design. First, can fool the pose a serious threat security critical applications. On other hand, device lead degradation accuracy. this pa...

Background: Despite the implementation of new training programs, neglecting individual differences in terms of learning styles can be taken into account as one of the reasons for poor levels of self-care behaviors in patients suffering from diabetes. Aim: The purpose of the present study was to examine the effect of training according to the learning styles on self-care behaviors among individu...

PARyOpt 1 is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. especially attractive computational due to its low cost footprint as well ability account uncertainties in data. A key challenge efficiently deploy any strategy on distributed computing systems synchronization step, where data from multiple calls assimilated...

sporadic alzheimer’s disease (sad) is affected by genetic risk factors, aging and oxidative stresses. the herbal extract of r. canina, t. vulgare and u. dioica has a beneficial role in aging, as an anti-inflammatory and anti-oxidative agent. we investigate the neuroprotective effects of this herbal extract in the rat model of sad.  the rats were divided into control, sham, model, herbal extract...

Does organizat ional learning as measured by experience in a host coun t ry a f f ec t i n t e rna t iona l expansion performance? I f so, does s u c h a relat ionship between exper i ence and per formance ho ld over t ime? How d o the env ironmental forces in the host country a f f e c t s u c h a r e l a t i o n s h i p ? Focusing on organizational learning by m u l t i n a t i o n a l e n t...