output
20052026
most citedLesion Border Detection in Dermoscopy Images

425 citations

Showing 2020Show all

15 papers · 1 filter

cs.SI2020★ 1 cited

Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect

Kakeru Ohki, Ayako Hashizume, Masaki Aida

In the oscillation model that describes the user dynamics of online social networks, it is known that the fundamental equation can explicitly describe the causal relationship betwe…

eess.IV2020★ 1 cited

MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis

Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda

Medical images have been indispensable and useful tools for supporting medical experts in making diagnostic decisions. However, taken medical images especially throat and endoscopy…

cs.SI2020★ 1 cited

Modeling of Online Echo-Chamber Effect Based on the Concept of Spontaneous Symmetry Breaking

Masaki Aida, Ayako Hashizume

The online echo-chamber effect is a phenomenon in which beliefs that are far from common sense are strengthened within relatively small communities formed within online social netw…

cs.SI2020

Polarization Model of Online Social Networks Based on the Concept of Spontaneous Symmetry Breaking

Masaki Aida, Ayako Hashizume, Chisa Takano +1

The spread of information networks has not only made it easier for people to access a variety of information sources but also greatly enhanced the ability of individuals to dissemi…

cs.NI2020★ 11 cited

Social-Similarity-aware TCP with Collision Avoidance in Ad-hoc Social Networks

Hannan Bin Liaqat, Feng Xia, Jianhua Ma +3

Ad-hoc Social Network (ASNET), which explores social connectivity between users of mobile devices, is becoming one of the most important forms of today's internet. In this context,…

cs.SI2020★ 36 cited

Improving Smart Conference Participation through Socially-Aware Recommendation

Nana Yaw Asabere, Feng Xia, Wei Wang +3

This research addresses recommending presentation sessions at smart conferences to participants. We propose a venue recommendation algorithm, Socially-Aware Recommendation of Venue…