Blog
No more endless PDFs. Discover the core value of the latest top-tier research in one article.
7466_Upper level set scan statistic system for detecting arbitrarily shaped hotspots for digital governance.
Evolving the Asymmetry of the Prisoner’s Dilemma Game in Adaptive Social Structures
Inferring anchor links across multiple heterogeneous social networks
International Symposium on Frontiers in Ambient and Mobile Systems (FAMS-2011) Automatic Full Text Analysis in Public Social Media -Adoption of a Software Prototype to Investigate Political Communication
Trace-by-classification: A machine learning approach to generate trace links for frequently occurring software artifacts
Recruiting the K-most influential prospective workers for crowdsourcing platforms
Determination of Customer Satisfaction using Improved K-means algorithm
Interacting with social networks of intelligent things and people in the world of gastronomy
Foundational Challenges in Automated Semantic Web Data and Ontology Cleaning
Dynamic Model for Social Coalition Formation Based on Expertise, Temporal Reputation and Time Commitment
Language Models Need Sleep
ECHO: Terminal Agents Learn World Models for Free
Polar: Agentic RL on Any Harness at Scale
PowLU: An Activation Function for Stable Pre-Training of LLMs
Toward QoI and Energy Efficiency in Participatory Crowdsourcing
Detecting Social Interactions in Working Environments Through Sensing Technologies
Placemaking for Urban Sustainability
Towards Knowledge Management Based on Harnessing Collective Intelligence on the Web
Facebook in educational research: a bibliometric analysis
Statistical Analysis of Real Large-Scale Mobile Social Network
Influence maximization in social networks: Considering both positive and negative relationships
Mining Social Networks and Their Visual Semantics from Social Photos
Redundancy Avoidance in Entity Resolution Based On Social Networks Paradigm
Empowering End Users for Social Internet of Things
HySoN: A Distributed Agent-Based Protocol for Group Formation in Online Social Networks
Abstract-Gender recognition for interactive functions becomes essential topic in terms of service robotics applications. Ensemble learning which combines multiple classifiers prediction is now an active area of research in Machine Learning and Pattern Recognition. We propose an ensemble learning to facilitate gender classification. The features which we use are raw data (image pixels as input), Local binary pattern (LBP), Local derivative pattern (LDP), Gabor, and Weber local descriptors (WLD). We carry out comparative experimental studies of various gender recognition schemes, including Eigenfaces, any individual classifiers, Rotation Forest, and Adaboost. Specifically, not only individual classifiers but also ensemble classifiers are based on Support Vector Machine, namely using SVM as component classifier in ensemble learning. Furthermore, we evaluate the effect of image size on classification rate. In conclusion, we find that the best classification rate is achieved with Discrete Adaboost with SVM as component classifier using the aforementioned features. Another finding is that the classification rates will increase when face image size increases
Social Competency and Social Networks as Predictors of Business Growth in Japanese IT and Web Startups
7489_Indo-European partnership to promote HCI and usability issues in the indian IT industry and academia.
Recommendations to boost content spread in social networks
Trans-Social Networks for Distributed Processing