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Multi-target regression is concerned with the prediction of multiple continuous target variables using a shared set of predictors. Two key challenges in multi-target regression are: (a) modelling target dependencies and (b) scalability to…

Machine Learning · Computer Science 2020-03-24 Eleftherios Spyromitros-Xioufis , Konstantinos Sechidis , Ioannis Vlahavas

The current COVID-19 pandemic highlights the utility of contact tracing, when combined with case isolation and social distancing, as an important tool for mitigating the spread of a disease [1]. Contact tracing provides a mechanism of…

Cryptography and Security · Computer Science 2020-04-13 Jack K. Fitzsimons , Atul Mantri , Robert Pisarczyk , Tom Rainforth , Zhikuan Zhao

Today, tracking and controlling the spread of a virus is a crucial need for almost all countries. Doing this early would save millions of lives and help countries keep a stable economy. The easiest way to control the spread of a virus is to…

Cryptography and Security · Computer Science 2020-10-26 Didem Demirag , Erman Ayday

Epidemic outbreaks are an important healthcare challenge, especially in developing countries where they represent one of the major causes of mortality. Approaches that can rapidly target subpopulations for surveillance and control are…

Social and Information Networks · Computer Science 2018-07-04 Stefania Rubrichi , Zbigniew Smoreda , Mirco Musolesi

The ability to directly record human face-to-face interactions increasingly enables the development of detailed data-driven models for the spread of directly transmitted infectious diseases at the scale of individuals. Complete coverage of…

Human and animal tissues consist of heterogeneous cell types that organize and interact in highly structured manners. Bulk and single-cell sequencing technologies remove cells from their original microenvironments, resulting in a loss of…

Quantitative Methods · Quantitative Biology 2022-02-08 Boxiang Liu , Yanjun Li , Liang Zhang

The present paper addresses the task of reliably identifying critical contacts by using COVID-19 tracing apps. A reliable classification is crucial to ensure a high level of protection, and at the same time to prevent many people from being…

Signal Processing · Electrical Eng. & Systems 2020-08-12 Christoph Günther , Daniel Günther

Proximity-based contact tracing relies on mobile-device interaction to estimate the spread of disease. ShareTrace is one such approach that improves the efficacy of tracking disease spread by considering direct and indirect forms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-20 Ryan Tatton , Erman Ayday , Youngjin Yoo , Anisa Halimi

The problem of mapping human close-range proximity networks has been tackled using a variety of technical approaches. Wearable electronic devices, in particular, have proven to be particularly successful in a variety of settings relevant…

Pandemic and epidemic diseases such as CoVID-19, SARS-CoV2, and Ebola have spread to multiple countries and infected thousands of people. Such diseases spread mainly through person-to-person contacts. Health care authorities recommend…

Cryptography and Security · Computer Science 2020-04-14 Arvin Hekmati , Gowri Ramachandran , Bhaskar Krishnamachari

During the COVID-19 (SARS-CoV-2) epidemic, Contact Tracing emerged as an essential tool for managing the epidemic. App-based solutions have emerged for Contact Tracing, including a protocol designed by Apple and Google (influenced by an…

Cryptography and Security · Computer Science 2025-03-21 Junade Ali , Vladimir Dyo

This paper describes the R package crqa to perform cross-recurrence quantification analysis of two time series of either a categorical or continuous nature. Streams of behavioral information, from eye movements to linguistic elements,…

Computation and Language · Computer Science 2013-10-04 Moreno I. Coco , Rick Dale

Recurrence plots (RPs) are powerful tools for visualizing time series dynamics; however, traditional Recurrence Quantification Analysis (RQA) often relies on global metrics, such as line counting, that can overlook system-specific,…

The recent COVID-19 pandemic underscores the significance of early-stage non-pharmacological intervention strategies. The widespread use of masks and the systematic implementation of contact tracing strategies provide a potentially equally…

Populations and Evolution · Quantitative Biology 2024-09-02 A. P. Muntoni , F. Mazza , A. Braunstein , G. Catania , L. Dall'Asta

Contact tracing is an effective method to control emerging diseases. Since the 1980's, mathematical modelers are developing a consistent theory for contact tracing, with the aim to find effective and efficient implementations of contact…

Populations and Evolution · Quantitative Biology 2020-08-18 Johannes Müller , Mirjam Kretzschmar

Spatial transcriptomics is a modern sequencing technology that allows the measurement of the activity of thousands of genes in a tissue sample and map where the activity is occurring. This technology has enabled the study of the so-called…

Methodology · Statistics 2022-09-15 Andrea Sottosanti , Davide Risso

Digital contact tracing has emerged as a viable tool supplementing manual contact tracing. To date, more than 100 contact tracing applications have been published to slow down the spread of highly contagious Covid-19. Despite subtle…

Cryptography and Security · Computer Science 2021-08-05 Pai Chet Ng , Petros Spachos , Stefano Gregori , Konstantinos Plataniotis

Cross-correlation is a popular signal processing technique used in numerous location tracking systems for obtaining reliable range information. However, its efficient design and practical implementation has not yet been achieved on mote…

Other Computer Science · Computer Science 2016-06-14 Prasant Misra , Wen Hu , Mingrui Yang , Marco Duarte , Sanjay Jha

Containment, the key strategy in quickly halting an epidemic, requires rapid identification and quarantine of the infected individuals, determination of whom they have had close contact with in the previous days and weeks, and…