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No more endless PDFs. Discover the core value of the latest top-tier research in one article.
A picture of Instagram is worth more than a thousand words: Workload characterization and application
Collecting Behavior Logs with Emotions in Town
Learning from the Past: An Analysis of Person Name Corrections in DBLP Collection and Social Network Properties of Affected Entities
Joint Topology and Radio Resource Optimization for Device-to-Device Based Mobile Social Networks
6179_SinkNet Interactive Sink to Detect Living Habits for Healthcare and Quality of Life Using Private Networks.
Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces
Coking Coal Railway Transportation Forecasting Using Ensembles of ElasticNet, LightGBM, and Facebook Prophet
Get out of MySpace!
Social-Aware Privacy-Preserving Mechanism for Correlated Data
Elimination based algorithm for link prediction on social networks
6185_Understanding Microeconomic Behaviors in Social Networking An engineering view.
Transfer AdaBoost SVM for Link Prediction in Newly Signed Social Networks using Explicit and PNR Features
6187_Filtering of Brand-Related Microblogs Using Social-Smooth Multiview Embedding.
CommPar: A Community-Based Model Partitioning Approach for Large-Scale Networked Social Dynamics Simulation
ASNA: An Intelligent Agent for Retrieving and Classifying News on the Basis of Emotion-Affinity
Profiling Environmental Conditions from DNA
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations
OSNGuard: Detecting Worms with User Interaction Traces in Online Social Networks
Which Recommender System Can Best Fit Social Learning Platforms?
Privacy in geo-social networks: proximity notification with untrusted service providers and curious buddies
6196_Selfish Mules Social Profit Maximization in Sparse Sensornets using Rationally-Selfish Human Relays.
Assessing scope and cohesion of nonprofits audiences in social media: A case study
Addressing bias in big data and AI for healthcare: a call for open science
A note on competitive diffusion through social networks
Despite dramatic progress in the application of predictive modeling and data mining techniques to problems in modern medicine, a major challenge facing technical practitioners is that of delivering models to clinicians. We have developed an easily implementable framework for publishing predictive models written in R or Python in a way that allows them to be consumed by practically any downstream clinical application, as well as allowing them to be reused in a wide variety of environments without modification. The approach makes models available as web services embedded in containers and uses only open source technology. We provide a template, practical explanation and discussion of involved technologies for a model production framework. We currently use this framework to deliver a model for predicting readmission to hospital following discharge to skilled nursing facilities. The flexibility and simplicity of this methodology will allow it to be readily adopted at a wide variety of institutions. We also provide source code for an example model
Understanding Students’ Continuance Intention toward Social Networking e-Learning
Extensive cryptic circulation sustains mpox among men who have sex with men
Global Agendas: Detection of Agenda Shifts in Cross-National Discussions Using Neural-Network Text Summarization for Twitter
Cultural communication in double-layer coupling social network based on association rules in big data
Robotics and Computer Integrated Manufacturing