HCIS

The original publication of this article has been corrected. Reference 1. Legg P, Smith J, Downing A (2019) Visual analytics for collaborative human-machine confidence in human-centric active lea…

Phil Legg, Jim Smith & Alexander Downing

Abstract Today the key technology of high-performance computing systems is the emergence of interconnect technology that makes multiple computers into one computer cluster. This technique is a genera…

Cheol Shim, Rupali Shinde & Min Choi

Abstract Case-based reasoning (CBR) is a nature inspired paradigm of machine learning capable to continuously learn from the past experience. Each newly solved problem and its corresponding solution …

Malik Jahan Khan, Hussain Hayat & Irfan Awan

Abstract Leap Motion has become widely used due to its ability to recognize intuitive hand gestures or accurate finger positions. Attaching a Leap Motion to a virtual reality head-mounted display (VR…

San Park, Seoungjae Cho, Jisun Park, Kaisi Huang, Yunsick Sung & Kyungeun Cho

Abstract The main down-top attention model usually uses some characteristics of audio signal to extract the auditory saliency map at present. But existing audio attention computational model based im…

Yu Liu, Cong Zhang, Bo Hang, Song Wang & Han-Chieh Chao

Abstract Various technologies such as WiFi, Bluetooth, and RFID are being used to provide indoor location-based services (LBS). In particular, a WiFi base using a WiFi AP already installed in an indo…

Sunmin Lee, Jinah Kim & Nammee Moon

Abstract Active machine learning is a human-centric paradigm that leverages a small labelled dataset to build an initial weak classifier, that can then be improved over time through human-machine col…

Phil Legg, Jim Smith & Alexander Downing

Abstract Model checking is an influential method to verify complex interactions, concurrent and distributed systems. Model checking constructs a behavioral model of the system using formal concepts s…

Alireza Souri, Amir Masoud Rahmani, Nima Jafari Navimipour & Reza Rezaei

Abstract With the deeper study on complex networks, more and more attention has been paid to the research on the cluster synchronization phenomena based on complex networks. In the real world, synchr…

Tinggui Chen, Jiawen Shi, Jianjun Yang & Gongfa Li

Abstract Worldwide sensor streams are expanding continuously with unbounded velocity in volume, and for this acceleration, there is an adaptation of large stream data processing system from the homog…

Bhaskar Gautam & Annappa Basava

Abstract The current bare Internet of Things (IoT) infrastructure has recently been extended to include smarter and more effective user interactions. Individual or meaningful sets and groups of IoT o…

Dongsik Jo & Gerard Jounghyun Kim

Abstract The amount of movie has increased to become more congested; therefore, to find a movie what users are looking for through the existing technologies are very hard. For this reason, the users …

Phonexay Vilakone, Doo-Soon Park, Khamphaphone Xinchang & Fei Hao

Abstract Based on the stimulus-organism-reaction model, we study the direct effects of the three interpersonal attraction factors (perceived similarity, perceived familiarity, and perceived expertise…

Yaqin Liu, Xinxing Luo & Yi Cao

Abstract Recommender systems are most often used to predict possible ratings that a user would assign to items, in order to find and propose items of possible interest to each user. In our work, we a…

Georgios Tsakalakis & Polychronis Koutsakis

Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition proce…

Song Zhou & Sheng Xiao