Network troubleshooting is still a heavily human-intensive process. To reduce the time spent by human operators in diagnosis process, we present system based on (i) unsupervised learning methods for detecting anomalies domain, (ii) an attention mechanism to rank features feature space and finally (iii) expert knowledge module able seamlessly incorporate previously collected domain-knowledge. In...

The monitoring of physiological biomarkers is fundamental to the diagnosis and treatment of disease. We describe here the development of molecular sensors which can be read by magnetic resonance (MR) relaxometry. MR is an advantageous bio-sensor readout because it can be determined from opaque samples and through intervening layers of matter. Wash steps can therefore be avoided in in vitro MR a...

Passports are documents that help immigration officers to identify people. In order to strongly authenticate their data and to automatically identify people, they are now equipped with RFID chips. These contain private information, biometrics, and a digital signature by issuing authorities. Although they substantially increase security at the border controls, they also come with new security an...

We present a technique for translating black-box machine-learned classifier operating on high-dimensional input space into small set of human-interpretable observables that can be combined to make the same classification decisions. iteratively select these from large high-level discriminants by finding those with highest decision similarity relative black box, quantified via metric we introduce...

s are best written after the facts, once you actually have something to abstract: write down the key points (for example by listing each paragraph’s first sentence), tie them together, add an opening sentence, then edit drastically. Sometimes, though, you may have to write and submit an abstract to a conference long before the paper is written or the research even carried out. Such promissory a...

Over the past few years the subject of doctors' communication skills has come under scrutiny, and in 1991 a consensus conference was held in Toronto.' Attention has focused mainly on the outcome of messages between doctor and patient when both are present. Yet much communication takes place in the doctor's absence by means of leaflets and notices. This important topic has seldom been studied. A...

In this paper, we study properties of rank metric codes in general and maximum rank distance (MRD) codes in particular. For codes with the rank metric, we first establish Gilbert and sphere-packing bounds, and then obtain the asymptotic forms of these two bounds and the Singleton bound. Based on the asymptotic bounds, we observe that asymptotically Gilbert-Varsharmov bound is exceeded by MRD co...