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PeerJ Author

2,040 Points

Contributions by role

Contributions by subject area

Feng Xia

PeerJ Author

Summary

I work in artificial intelligence (AI), digital health, and systems engineering, with particular interest in graph learning, brain science, and robotics.

Artificial Intelligence Brain-Computer Interface Data Mining & Machine Learning Neural Networks Robotics Social Computing

Work details

Professor

RMIT University

January 2023

School of Computing Technologies

Websites

October 14, 2022

Efficient anomaly recognition using surveillance videos

Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza, Fayez Hussain Alqahtani, Amr Tolba, Feng Xia

https://doi.org/10.7717/peerj-cs.1117

Academic Editor on

February 29, 2024

Eliminating bias: enhancing children’s book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization

Lijuan Shen, Liping Jiang

https://doi.org/10.7717/peerj-cs.1858

January 25, 2024

A comprehensive exploration of machine learning techniques for EEG-based anxiety detection

Mashael Aldayel, Abeer Al-Nafjan

https://doi.org/10.7717/peerj-cs.1829

September 5, 2022

Constructing marine expert management knowledge graph based on Trellisnet-CRF

Jiajing Wu, Zhiqiang Wei, Dongning Jia, Xin Dou, Huo Tang, Nannan Li

https://doi.org/10.7717/peerj-cs.1083

June 18, 2021

Local network connectivity optimization: an evaluation of heuristics applied to complex spatial networks, a transportation case study, and a spatial social network

Jeremy Auerbach, Hyun Kim

https://doi.org/10.7717/peerj-cs.605

March 11, 2021

LSTM-based sentiment analysis for stock price forecast

Ching-Ru Ko, Hsien-Tsung Chang

https://doi.org/10.7717/peerj-cs.408

November 30, 2020

Big data clustering techniques based on Spark: a literature review

Mozamel M. Saeed, Zaher Al Aghbari, Mohammed Alsharidah

https://doi.org/10.7717/peerj-cs.321

October 14, 2019

Synthetic dataset generation for object-to-model deep learning in industrial applications

Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller

https://doi.org/10.7717/peerj-cs.222

December 18, 2017

Sustainable computational science: the ReScience initiative

Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C.Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito

https://doi.org/10.7717/peerj-cs.142

December 11, 2017

Utilizing social media and video games to control #DIY microscopes

Maxime Leblanc-Latour, Craig Bryan, Andrew E. Pelling

https://doi.org/10.7717/peerj-cs.139