Richard O. Sinnott

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 142

Top Venues

BDCAT

CoRR

Future Gener. Comput. Syst.

TrustCom/BigDataSE

University of Stirling, UK (PHD)

Education History

University of Stirling, UK

PHD

Publications

Anthony Stell, Ernesto C. Caparo, Zhe Wang, Chenyang Wang, David Berlowitz, Mark Howard, Richard O. Sinnott, Uwe Aickelin
Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning. BIOSTEC (2) (2024)
Richard O. Sinnott
Predicting and Avoiding Dog Barking Behaviour through Deep Learning. ACSW (2024)
Zihan Yang, Richard O. Sinnott, James Bailey, Krista A. Ehinger
Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification. HICSS (2024)
Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard O. Sinnott, Andrew Woods, Chris Bayliss, Kris Ehinger, Benjamin I. P. Rubinstein, James Bailey, Airlie Chapman, Michele Trenti
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT. CoRR (2024)
Chenhao Tong, Maria A. Rodriguez, Richard O. Sinnott
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate. CoRR (2024)
Richard O. Sinnott
Lessons Learnt in Developing and Supporting Infrastructures for Australian Urban and Built Environment Research. ACSW (2024)
Zhe Wang, Anthony Stell, Jean Paul Vera Soto, Richard O. Sinnott
e-Consent in Biomedical Research Registries: A GDPR-Compliant Approach Explored in the Context of the Australasian Diabetes Data Network. BIOSTEC (2) (2024)
Nurul Athirah Nasarudin, Fatma Al Jasmi, Richard O. Sinnott, Nazar Zaki, Hany Al Ashwal, Elfadil A. Mohamed, Mohd Saberi Mohamad
A review of deep learning models and online healthcare databases for electronic health records and their use for health prediction. Artif. Intell. Rev. 57 (9) (2024)
Zuo Huang, Richard O. Sinnott
Improved Knowledge Distillation for Crowd Counting on IoT Devices. EDGE (2023)
Yuhan Gu, Richard O. Sinnott
Real-Time Vehicle Passenger Detection Through Deep Learning. e-Science (2023)
Richard O. Sinnott, Siqi Zhong
Real-time Route Planning to Reduce Pedestrian Pollution Exposure in Urban Settings. BDCAT (2023)
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris
Fake News Detection Through Graph-based Neural Networks: A Survey. CoRR (2023)
Zhen Yang, Ming Zhou, Haiyang Yu, Richard O. Sinnott, Huan Liu
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris
Fake News Detection Through Temporally Evolving User Interactions. PAKDD (4) (2023)
Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke
A survey of automated data augmentation algorithms for deep learning-based image classification tasks. Knowl. Inf. Syst. 65 (7) (2023)
Zuo Huang, Richard O. Sinnott, Krista A. Ehinger
Truck Speed Detection Through Video Streams. e-Science (2023)
Yang Yang, Richard O. Sinnott
Automated Recognition and Classification of Cat Pain Through Deep Learning. DataCom (2022)
Richard O. Sinnott, Qi Li, Abdul Mohammad, Luca Morandini
The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale. DataCom (2022)
Zhe Wang, Anthony Stell, Richard O. Sinnott, Addn Study Group
The Impact of General Data Protection Regulation on the Australasian Type-1 Diabetes Platform. CBMS (2022)
Chenhao Tong, Aaron Harwood, Maria A. Rodriguez, Richard O. Sinnott
Multi-Agent Patrolling with Battery Constraints through Deep Reinforcement Learning. CoRR (2022)
Yueying Chang, Richard O. Sinnott
Machine Learning-based Classification of Birds through Birdsong. CoRR (2022)
Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks. CoRR (2022)
Richard O. Sinnott, William Hu
Experiences in Development and Support of a Multi-technology Skin Conditions Clinical Trial Platform. CBMS (2022)
Yinluo Jing, Zhiyi Qiao, Richard O. Sinnott
Benchmarking Container Technologies For IoT Environments. FMEC (2022)
Mona Alshardan, Antonette Mendoza, Shanton Chang, Richard O. Sinnott
Formal and Informal Technology Appropriation in New Learning Environments: The Case of Saudi Students in Australia. PACIS (2022)
Stephen Kong Luan, Hongwei Yin, Richard O. Sinnott
Action Recognition in Australian Rules Football Through Deep Learning. ICCS (3) (2022)
Zihan Yang, Richard O. Sinnott, Qiuhong Ke, James Bailey
Individual Feral Cat Identification through Deep Learning. BDCAT (2021)
Haiyang Yu, Zhen Yang, Muhammad Waqas, Shanshan Tu, Zhu Han, Zahid Halim, Richard O. Sinnott, Udaya Parampalli
Efficient dynamic multi-replica auditing for the cloud with geographic location. Future Gener. Comput. Syst. 125 (2021)
Yutao Dong, Qing Li, Richard O. Sinnott, Yong Jiang, Shutao Xia
ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning. ICNP (2021)
Zuo Huang, Richard O. Sinnott, Qiuhong Ke
Crowd Counting Using Deep Learning in Edge Devices. BDCAT (2021)
Yasser Aldwyan, Richard O. Sinnott, Glenn T. Jayaputera
Elastic deployment of container clusters across geographically distributed cloud data centers for web applications. Concurr. Comput. Pract. Exp. 33 (21) (2021)
Yiqi Wang, Jiawen Li, Yabing Zhang, Richard O. Sinnott
Identifying lameness in horses through deep learning. SAC (2021)
Maxim Priymak, Richard O. Sinnott
Real-Time Traffic Classification through Deep Learning. BDCAT (2021)
Richard O. Sinnott, Phillip Law, Jane Pirkis, Lay San Too, Sadia Waleem, Allan Wu
Historic Twitter Mining: A Case Study Aiming to Identify and Capture the Social Media Network Activities of People who Died by Suicide. e-Science (2021)
Richard O. Sinnott, Zijian Wang
Linking User Accounts across Social Media Platforms. BDCAT (2021)
Zihan Yang, Richard O. Sinnott
Snake Detection and Classification using Deep Learning. HICSS (2021)
Huiling Jiang, Qing Li, Yong Jiang, Gengbiao Shen, Richard O. Sinnott, Chen Tian, Mingwei Xu
When machine learning meets congestion control: A survey and comparison. Comput. Networks 192 (2021)
Ross Pearson, Hannah Fraser, Martin Bush, Fallon Mody, Ivo Widjaja, Andy Head, David Peter Wilkinson, Richard O. Sinnott, Bonnie Wintle, Mark Burgman, Fiona Fidler, Peter Vesk
Eliciting group judgements about replicability: a technical implementation of the IDEA Protocol. HICSS (2021)
Yali Zhao, Rodrigo N. Calheiros, Graeme Gange, James Bailey, Richard O. Sinnott
SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. IEEE Trans. Cloud Comput. 9 (3) (2021)
Yi Tian, Jialing Gu, Yiiun Jia, Richard O. Sinnott
An Exploration of Machine and Deep Learning Models for Fake News Detection in Social Media. BESC (2021)
Richard O. Sinnott, Yuan Wang, Yiqun Wang
Real-time Route Planning using Mobile Air Pollution Detectors and Citizen Scientists. WiMob (2021)
Deng Pan, Lixian Sun, Rui Wang, Xingjian Zhang, Richard O. Sinnott
Deepfake Detection through Deep Learning. BDCAT (2020)
Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification. NetAI@SIGCOMM (2020)
Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott
Comparison of Optimization-Modelling Methods for Metabolites Production in Escherichia coli. J. Integr. Bioinform. 17 (1) (2020)
Huiling Jiang, Qing Li, Yong Jiang, Gengbiao Shen, Richard O. Sinnott, Chen Tian, Mingwei Xu
When Machine Learning Meets Congestion Control: A Survey and Comparison. CoRR (2020)
Lixuan Ding, Lanting Ding, Richard O. Sinnott
Fake News Classification of Social Media Through Sentiment Analysis. BigData Congress (2020)
Pei-Yun Sun, Wan-Yun Sun, Yicheng Jin, Richard O. Sinnott
Heavy Vehicle Classification Through Deep Learning. BigData Congress (2020)
Lu Chen, Yiru Pan, Richard O. Sinnott
Auto-scaling Walkability Analytics through Kubernetes and Docker SWARM on the Cloud. CLOSER (2020)
Anthony Stell, Vedant Chauhan, Richard O. Sinnott
Secure Audit in Support of an Adrenal Cancer Registry. HEALTHINF (2020)
Fanyin Zhuang, Lei Ren, Qianying Dong, Richard O. Sinnott
A Mobile Application Using Deep Learning to Automatically Classify Adult-Only Images. AIMS (2020)
Tiange Wang, Fengkai Wu, Richard O. Sinnott
A Case Study in Twitter Bot Identification: Are They Still a Problem? SNAMS (2020)
Richard O. Sinnott, Donghan Yang, Xueyang Ding, Zhenyuan Ye
Poisonous Spider Recognition through Deep Learning. ACSW (2020)
Qing Li, Nanyang Huang, Yong Jiang, Richard O. Sinnott, Mingwei Xu
Scale the Data Plane of Software-Defined Networks: a Lazy Rule Placement Approach. ICDCS (2020)
Geoff Cunliffe, Chao Liang, Richard O. Sinnott
Using Social Media to Understand City-wide Movement Patterns and Behaviours. SNAMS (2020)
Jingling Zhou, Shiyu Wang, Yunxue Chen, Richard O. Sinnott
A Web Application for Feral Cat Recognition Through Deep Learning. BigData Congress (2020)
Haiyang Yu, Zhen Yang, Richard O. Sinnott
Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE Access 7 (2019)
Yali Zhao, Rodrigo N. Calheiros, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott
Profit Maximization and Time Minimization Admission Control and Resource Scheduling for Cloud-Based Big Data Analytics-as-a-Service Platforms. ICWS (2019)
Haiyang Yu, Yongquan Cai, Richard O. Sinnott, Zhen Yang
ID-based dynamic replicated data auditing for the cloud. Concurr. Comput. Pract. Exp. 31 (11) (2019)
Karin Clark, Matt Duckham, Marilys Guillemin, Assunta Hunter, Jodie McVernon, Christine M. O'Keefe, Cathy Pitkin, Steven Prawer, Richard O. Sinnott, Deborah Warr, Jenny Waycott
Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice. Ethics Inf. Technol. 21 (1) (2019)
Shuo Wang, Surya Nepal, Richard O. Sinnott, Carsten Rudolph
P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories. ICWS (2019)
Richard O. Sinnott
The Design and Development of a Cloud-based Platform Supporting Team-oriented Evidence-based Reasoning: SWARM Systems Paper. HICSS (2019)
Huaqing Yu, Shining Song, Shaoxi Ma, Richard O. Sinnott
Estimating Fruit Crop Yield through Deep Learning. BDCAT (2019)
Arnaldo Pereira Ferreira, Richard O. Sinnott
A Performance Evaluation of Containers Running on Managed Kubernetes Services. CloudCom (2019)
Richard O. Sinnott
Migrating a National Cloud Platform for Urban Analytics: A Performance Assessment Framework. CloudCom (2019)
Shangyu Chen, Shuo Wang, Richard O. Sinnott
Parametric Canonical Correlation Analysis. CloudCom (2019)
Ying Hu, Richard O. Sinnott
Big Data Analytics Exploration of Green Space and Mental Health in Melbourne. CCGRID (2019)
Peng Zhao, Xinrui Lyu, Richard O. Sinnott, Shimin Wei
Crowd-Counting through a Cascaded, Multi-Task Convolutional Neural Network. BDCAT (2019)
Mona Mesfer Alshardan, Antonette Mendoza, Shanton Chang, Richard O. Sinnott
Students' Use of Internet Technologies for Interactions in Learning Practices: A Study from Saudi Arabia's Higher Education. ACIS (2019)
Lu Chen, Yunjie Jia, Pei-Yun Sun, Richard O. Sinnott
Identification and Classification of Trucks and Trailers on the Road Network through Deep Learning. BDCAT (2019)
Mihira Wanninayake, Richard O. Sinnott
An Exploration of Commuter Travel Time Through Social Media Analytics on the Cloud. BDCAT (2019)
Yasser Aldwyan, Richard O. Sinnott
Latency-aware failover strategies for containerized web applications in distributed clouds. Future Gener. Comput. Syst. 101 (2019)
Kauthar Mohd Daud, Mohd Saberi Mohamad, Zalmiyah Zakaria, Rohayanti Hassan, Zuraini Ali Shah, Safaai Deris, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott
multiobjective optimization in identifying reactions knockout. Comput. Biol. Medicine 113 (2019)
Yali Zhao, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott
Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. eScience (2019)
Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott
A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli. PACBB (2019)
Yao Pan, Ian Chen, Francisco V. Brasileiro, Glenn T. Jayaputera, Richard O. Sinnott
A Performance Comparison of Cloud-Based Container Orchestration Tools. ICBK (2019)
Gengbiao Shen, Qing Li, Yong Jiang, Richard O. Sinnott, Dong Lin, Zehua Guo, Yi Wang
Chunk-level request-grant-transfer mode for QoE-sensitive video delivery in CDN. IWQoS (2019)
Minh Tri Truong, Aaron Harwood, Richard O. Sinnott, Shiping Chen
Cost-Efficient Stream Processing on the Cloud. CLOUD (2019)
Yali Zhao, Rodrigo N. Calheiros, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott
SLA-Aware and Deadline Constrained Profit Optimization for Cloud Resource Management in Big Data Analytics-as-a-Service Platforms. CLOUD (2019)
Anirudh Joshi, Timothy Baldwin, Richard O. Sinnott, Cécile Paris
Reevaluating Argument Component Extraction in Low Resource Settings. DeepLo@EMNLP-IJCNLP (2019)
Richard O. Sinnott, Fang Wu, Wenbin Chen
A Mobile Application for Dog Breed Detection and Recognition Based on Deep Learning. BDCAT (2018)
San Kho Lin, Umer Altaf, Glenn T. Jayaputera, Jiajie Li, Davis Marques, David Meggyesy, Sulman Sarwar, Shivank Sharma, William Voorsluys, Richard O. Sinnott, Ana Novak, Vivian Nguyen, Kristan Pash
Auto-Scaling a Defence Application across the Cloud Using Docker and Kubernetes. UCC Companion (2018)
Yang Lu, Richard O. Sinnott, Karin Verspoor, Udaya Parampalli
Privacy-Preserving Access Control in Electronic Health Record Linkage. TrustCom/BigDataSE (2018)
Yikai Gong, Richard O. Sinnott, Paul Rimba
RT-DBSCAN: Real-Time Parallel Clustering of Spatio-Temporal Data Using Spark-Streaming. ICCS (1) (2018)
Anirudh Joshi, Richard O. Sinnott
Modelling Implicit Content Networks to Track Information Propagation Across Media Sources to Analyze News Events. eScience (2018)
Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cécile Paris
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing. SemEval@NAACL-HLT (2018)
Shuo Wang, Richard O. Sinnott, Surya Nepal
A Privacy-Preserving Semantic Annotation Framework Using Online Social Media. ICWS (2018)
Chang Liu, Richard O. Sinnott
A Platform for Exploring Social Media Analytics of Fast Food Restaurants in Australia. ICCSA (1) (2018)
Shuo Wang, Richard O. Sinnott, Surya Nepal
Privacy-protected statistics publication over social media user trajectory streams. Future Gener. Comput. Syst. 87 (2018)
Lei Wang, Qing Li, Richard O. Sinnott, Yong Jiang, Jianping Wu
An intelligent rule management scheme for Software Defined Networking. Comput. Networks 144 (2018)
Adel Nadjaran Toosi, Richard O. Sinnott, Rajkumar Buyya
Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka. Future Gener. Comput. Syst. 79 (2018)
Shuo Wang, Richard O. Sinnott, Surya Nepal
P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. TrustCom/BigDataSE (2018)
Yang Lu, Richard O. Sinnott, Karin Verspoor
Semantic-Based Policy Composition for Privacy-Demanding Data Linkage. TrustCom/BigDataSE (2018)
Yang Lu, Richard O. Sinnott
Semantic privacy-preserving framework for electronic health record linkage. Telematics Informatics 35 (4) (2018)
Richard O. Sinnott, Ziyue Guan
Prediction of Air Pollution through Machine Learning Approaches on the Cloud. BDCAT (2018)
Richard O. Sinnott, Yikai Gong, Shiping Chen, Paul Rimba
Urban Traffic Analysis Using Social Media Data on the Cloud. UCC Companion (2018)
Timothy van Gelder, Richard de Rozario, Richard O. Sinnott
SWARM: Cultivating Evidence-Based Reasoning. Comput. Sci. Eng. 20 (6) (2018)
Minh Tri Truong, Aaron Harwood, Richard O. Sinnott, Shiping Chen
Performance Analysis of Large-Scale Distributed Stream Processing Systems on the Cloud. IEEE CLOUD (2018)
Yang Hong, Richard O. Sinnott
A Social Media Platform for Infectious Disease Analytics. ICCSA (1) (2018)
Stian Soiland-Reyes, Farah Zaib Khan, Richard O. Sinnott, Andrew Lonie, Michael R. Crusoe, Carole A. Goble
Capturing interoperable reproducible workflows with Common Workflow Language. RO (2018)
Shuo Wang, Richard O. Sinnott, Surya Nepal
PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. TrustCom/BigDataSE (2018)

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Publication Activity (10 Years)

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Richard O. Sinnott