Search
Search Results
-
Pulled, pushed or failed: the demographic impact of a gene drive can change the nature of its spatial spread
Understanding the temporal spread of gene drive alleles—alleles that bias their own transmission—through modeling is essential before any field...
-
Demographic feedbacks can hamper the spatial spread of a gene drive
This paper is concerned with a reaction–diffusion system modeling the fixation and the invasion in a population of a gene drive (an allele biasing...
-
Fairness, Bias and Trust in the Context of Biometric-Enabled Autonomous Decision Support
Develo** a trustworthy biometric-enabled autonomous and semi-autonomous system involves computing the amount of bias and fairness of the data upon... -
A Feature Selection Technique–Based Approach for Author Profiling Using Word Embedding Techniques
Textual data are tremendously increasing on the World Wide Web through different social networking platforms, such as blogs, review sites, Facebook,... -
A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering
In the application of data clustering to human-centric decision-making systems, such as loan applications and advertisement recommendations, the... -
Pre-processing
“Pre-processing” is about distorting the training sample to ensure that the model we obtain is “fair,” with respect to some criteria (defined in the... -
2030: A Sensible Census, in Reach
The 2030 census should be designed to take advantage of new data sources. This will require a Census Bureau that is as adept at data curation as its... -
Celebrity profiling through linguistic analysis of digital social networks
Digital social networks have become an essential source of information because celebrities use them to share their opinions, ideas, thoughts, and...
-
Development and validation of the early warning system scores ontology
BackgroundClinical early warning scoring systems, have improved patient outcomes in a range of specializations and global contexts. These systems are...
-
Early Prediction of Alzheimer’s Disease Using Ensemble Learning Models
The human brain is the most complex part as it controls numerous operations of the human body. For the past few decades, works have been going on to... -
Agent-Based Model of Cultural Landscape Evolution in Euclidean Space
The cultural landscape determines the cultural agent’s diversity. It is believed that the cultures space can be represented as a Hilbert space, in... -
Bayesian Analysis of Homicide Rates in Mexico from 2000 to 2012
The war against drugs started in Mexico in 2007. During the following years, there was an unprecedented increase in violence and... -
Automatic Balance Mechanisms in an NDC Pension System with Disability Benefits
The aging population is currently impacting several countries worldwide, generating socio-economic needs such as long-term care (LTC) in old age.... -
Digital Humanities and Big Microdata: New Approaches for Demographic Research
During the last decades, Demography saw a huge amount of microdata, from an uncountable number of sources, being released in on-line worldwide... -
Friend Recommendation System Using Transfer Learning in the Autoencoder
Social information helps the traditional recommendation system to provide more personalized services. Autoencoder provides an unsupervised... -
Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding
Lyme disease is the most common vector-borne disease in the United States impacting the Northeast and Midwest at the highest rates. Recently, it has...
-
Seed predation-induced Allee effects, seed dispersal and masting jointly drive the diversity of seed sources during population expansion
The environmental factors affecting plant reproduction and effective dispersal, in particular biotic interactions, have a strong influence on plant...
-
Diabetic prediction and classification of risk level using ODDTADC method in big data analytics
Diabetes is regarded as one of the deadliest chronic illnesses that increases blood sugar. But there is no reliable method for predicting diabetic...
-
Allee Effects Plus Noise Induce Population Dynamics Resembling Binary Markov Highs and Lows
We show that the combination of Allee effects and noise can produce a stochastic process with alternating sudden decline to a low population phase,...
-
Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England
For the past two decades, the USA has been embroiled in a growing prescription drug epidemic. The ripples of this epidemic have been especially...