the lack of pathognomonic signs and symptoms makes the diagnosis of pulmonary embolism (pe) difficult. here, we report a case of a 42-year-old man presented to the emergency department with worsening epigastric pain, hypotension, frank bradycardia, and final diagnosis of pe. although previous studies have indicated that abdominal pain was observed in 6.7% of patients with pe, the exact reason f...

Likelihood-based Imprecise Regression (LIR) is a recently introduced approach to regression with imprecise data. Here we consider a robust regression method derived from the general LIR approach and we establish an exact algorithm to determine the set-valued result of the LIR analysis in the special case of simple linear regression with interval data.

Abstract argumentation frameworks (AFs) are one of the central formalisms in AI; equipped with a wide range of semantics, they have proven useful in several application domains. We contribute to the systematic analysis of semantics for AFs by connecting two recent lines of research – the work on input/output frameworks and the study of the expressiveness of semantics. We do so by considering th...

We consider multiple agents who s task is to determine the true state of a uncertain domain so they can act properly If each agent only has partial knowledge about the domain and local observation how can agents accomplish the task with the least amount of commu nication Multiply sectioned Bayesian networks MSBNs provide an e ective and exact framework for such a task but also impose a set of c...

Lack of sufficient labeled data often limits the applicability of advanced machine learning algorithms to real life problems. However efficient use of Transfer Learning (TL) has been shown to be very useful across domains. TL utilizes valuable knowledge learned in one task (source task), where sufficient data is available, to the task of interest (target task). In biomedical and clinical domain...

The paradigm of the Internet of Services envisions trade on a global service-enabled internet. Companies, which participate in this new world of services, face the challenges of changing market conditions, new competitive threats, and new legal regulations. Service-oriented Architectures (SOA) provide a promising way to address some of these challenges at the level of the company’s IT infrastru...

Nowadays, there is a rising trend of building array-based distributed computing frameworks, which are suitable for implementing many machine learning and data mining algorithms. However, most of these frameworks only execute each primitive in an isolated manner and in the exact order defined by programmers, which implies a huge space for optimization. In this paper, we propose a novel array-bas...

The light-weight JavaScript frameworks such as IoT.js, DukServer, and Smart.js provide the asynchronous event-driven JavaScript runtime for lowend IoT device. These frameworks are designed for memory-constrained systems such as IoT devices. To evaluate the performance of these frameworks, existing JavaScript benchmarks are not suitable considering that the use cases of IoT device are mainly to ...

The IT-Capability Maturity Model [IT-CMF] is a high-level process capability maturity framework for managing the IT function within an organization. The purpose of this paper is to explore and explain the IT-CMF as a “ method meta-model” for IT management, emphasizing the novel approach to addressing the application of design processes and design artifacts by means of a very structured use of e...