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Combining modality-specific extreme learning machines for emotion recognition in the wild
Pervasive urban crowdsourcing: Visions and challenges
Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis
The prevalence and rapid development of the Internet and mobile technology in recent decades has revamped our living styles and daily habits. To ride on the digital trend, more business activities have been engaged in the digital world. Marketing and advertising is one of typical business areas that is transformed digitally. The rise of Key Opinion Leaders (KOLs), social media platforms, and Omni-channel retailing have attracted countless business entities to consider the adoption of digital marketing tools for promoting and advertising their brands and products. However, with the increasing diversity of the types of digital marketing tools, they must be carefully selected based on a multiple number of criterion. In this paper, a fuzzy-AHP method is proposed and developed for assisting industry practitioners in systematically and effectively evaluate and select proper digital marketing tool(s) for adoption. The developed method not only streamlines the internal business process of digital marketing tool selection, but it also increases the practitioner's effectiveness of achieving the pre-defined strategic marketing objectives
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning
Categories and Subject Descriptors
Induction and Profiling of Strong Multi-Componential Emotions in Virtual Reality
WeChat Text and Picture Messages Service Flow Traffic Classification Using Machine Learning Technique
Predicting Spending Behavior Using Socio-mobile Features
Case Study: Studying Human and Social Aspects of Testing in a Service-Based Software Company
12880_The 5th ACM hotplanet workshop keynote speaker smartphones, crowds, and the cloud population guided sensing systems.
Relational Attribute Integrated Matching Analysis (RAIMA): A Framework for the Design of Self-Adaptive Egocentric Social Networks
Target users' activation probability maximization with different seed set constraints in social networks
Modeling and Analyzing Engagement in Social Network Challenges
A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks
Analysis of Optimal Pricing Model of Crowdsourcing Platform Based on Cluster and Proportional Sharing
The Role of Tweet-Related Emotion on the Exhaustion – Recovery from Work Relationship
An Instance of Distributed Social Computation: The Multiagent Group Membership Problem
E-rank: A Structural-Based Similarity Measure in Social Networks
Exploring Imagery-driven Service Framework on Social Network Service
Continuous, Real-Time Emotion Annotation: A Novel Joystick-Based Analysis Framework
Unsynchronized wearable sensor data analytics model for improving the performance of smart healthcare systems
Autonomous trAnsportAtion in EmErgEncy HEAltHcArE sErvicEs: FrAmEwork, cHAllEngEs, And FuturE work IntroductIon
A Block-Based Edge Partitioning for Random Walks Algorithms over Large Social Graphs
A Robust Mean Shift-Based Approach to Effectively Clustering Incomplete Educational Data
Recognizing emotions in text using ensemble of classifiers
Agriculture 4.0: An Implementation Framework for Food Security Attainment in Nigeria’s Post-Covid-19 Era
TP-TA: a comparative analytical framework for trust prediction models in online social networks based on trust aspects
Citywide Estimation of Traffic Dynamics via Sparse GPS Traces
Persuasion driven influence propagation in social networks