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Security governance surrounding infectious diseases necessitates collaboration and information sharing among diverse actors, including nation-states and institutions. The Global Antimicrobial Resistance Surveillance Syst...

El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

Subjects / keywords: computer and network security, cybercrime laws, digital forensics, data science security, multimedia & mobile security, information security; Law: Law in general. Comparative and uniform law. Jurisprudence: Comparative l...

Subjects / keywords: Data encryption (Computer science); Cryptography; Data processing; Computer security; Python (Computer program language); Electronic books

Subjects / keywords: Computer security; Data structures (Computer science); Electronic books

Subjects / keywords: Data encryption (Computer science); Computer security

Subjects / keywords: Cryptography; Computer security; Data encryption (Computer science); Electronic books

In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms and across time, and OLS standard errors can ...

The Cambridge Structural Database (CSD) contains a complete record of all published organic and metal-organic small-molecule crystal structures. The database has been in operation for over 50 years and continues to be th...

Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a ...

Large datasets are increasingly common and are often difficult to interpret. Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same...

A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The mani...

Consider a data holder, such as a hospital or a bank, that has a privately held collection of person-specific, field structured data. Suppose the data holder wants to share a version of the data with researchers. How can...

Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take acti...

Subjects / keywords: Cloud computing; Computer science; Utility computing; Cloudlet; Resource allocation; Workload; Service (business); Resource management (computing); The Internet; Distributed computing; Data science; Cloud computing secur...

Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather tha...

As we draw near to closing out the twentieth century, we see quite clearly that the information-processing and telecommunications revolutions now underway will continue vigorously into the twenty-first. We interact and t...

At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the shift towards a more algorithmic ...

Subjects / keywords: Black box; Harm; Computer science; Key (lock); Criminal justice; Artificial intelligence; Economic Justice; Machine learning; Data science; Criminology; Psychology; Computer security

Subjects / keywords: Computer science; The Internet; Vision; Telecommunications; Identification (biology); Paradigm shift; Data science; Wireless sensor network; Internet of Things; World Wide Web; Computer security; Computer network

Subjects / keywords: data mining, business analytics, data-driven management decisions, digital economy, data quality and security, data science; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: cybersecurity data analysis, security, information science, information security, cybersecurity; Technology: Technology (General): Industrial engineering. Management engineering: Management information systems

Subjects / keywords: data science, data mining, big data networks, big data security and privacy, big data in healthcare; Technology: Technology (General): Industrial engineering. Management engineering: Information technology

Subjects / keywords: cryptography, software security, database security, information security, network security; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware; Scie...