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ORCIDRichard O. Sinnott
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
[j43]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): 249 (2024)- [j42]Hongwei Yin, Richard O. Sinnott, Glenn T. Jayaputera:
A survey of video-based human action recognition in team sports. Artif. Intell. Rev. 57(11): 293 (2024) - [j41]Xigui Wang
, Haiyang Yu, Yuwen Chen, Richard O. Sinnott, Zhen Yang:
PrVFL: Pruning-Aware Verifiable Federated Learning for Heterogeneous Edge Computing. IEEE Trans. Mob. Comput. 23(12): 15062-15079 (2024) - [c190]Richard O. Sinnott:
Predicting and Avoiding Dog Barking Behaviour through Deep Learning. ACSW 2024: 26-35 - [c189]Richard O. Sinnott:
Lessons Learnt in Developing and Supporting Infrastructures for Australian Urban and Built Environment Research. ACSW 2024: 36-42 - [c188]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: 45-55 - [c187]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: 436-443 - [c186]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. CVPR Workshops 2024: 6789-6798 - [c185]Glenn T. Jayaputera, Andrew Bivard, Ivo Widjaya, James W. Jayaputera, Rio Susanto, Yunjie Jia, Yao Pan, Richard O. Sinnott:
MTP: A Cloud-based Real-time Mobile Tele-medicine Platform - Systems Paper. e-Science 2024: 1-9 - [c184]Taylor Tang, Glenn T. Jayaputera, Richard O. Sinnott:
A Performance Comparison of Convolutional Neural Networks and Transformer-Based Models for Classification of the Spread of Bushfires. e-Science 2024: 1-9 - [c183]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: 1159-1168 - [i10]Chenhao Tong, Maria A. Rodriguez, Richard O. Sinnott:
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate. CoRR abs/2402.10222 (2024) - [i9]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 abs/2404.08399 (2024) - 2023
- [j40]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): 2805-2861 (2023) - [j39]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): 205-222 (2023) - [c182]Richard O. Sinnott, Siqi Zhong:
Real-time Route Planning to Reduce Pedestrian Pollution Exposure in Urban Settings. BDCAT 2023: 01:1-01:10 - [c181]Yuhan Gu, Richard O. Sinnott:
Real-Time Vehicle Passenger Detection Through Deep Learning. e-Science 2023: 1-10 - [c180]Zuo Huang, Richard O. Sinnott, Krista A. Ehinger:
Truck Speed Detection Through Video Streams. e-Science 2023: 1-10 - [c179]Zuo Huang, Richard O. Sinnott:
Improved Knowledge Distillation for Crowd Counting on IoT Devices. EDGE 2023: 207-214 - [c178]Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris:
Fake News Detection Through Temporally Evolving User Interactions. PAKDD (4) 2023: 137-148 - [i8]Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris:
Fake News Detection Through Graph-based Neural Networks: A Survey. CoRR abs/2307.12639 (2023) - 2022
- [c177]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: 205-210 - [c176]Richard O. Sinnott, William Hu:
Experiences in Development and Support of a Multi-technology Skin Conditions Clinical Trial Platform. CBMS 2022: 453-458 - [c175]Yang Yang, Richard O. Sinnott:
Automated Recognition and Classification of Cat Pain Through Deep Learning. DataCom 2022: 230-240 - [c174]Richard O. Sinnott, Qi Li, Abdul Mohammad, Luca Morandini:
The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale. DataCom 2022: 316-327 - [c173]Yinluo Jing, Zhiyi Qiao, Richard O. Sinnott:
Benchmarking Container Technologies For IoT Environments. FMEC 2022: 1-8 - [c172]Stephen Kong Luan, Hongwei Yin, Richard O. Sinnott:
Action Recognition in Australian Rules Football Through Deep Learning. ICCS (3) 2022: 563-576 - [c171]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: 128 - [i7]Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke:
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks. CoRR abs/2206.06544 (2022) - [i6]Yueying Chang, Richard O. Sinnott:
Machine Learning-based Classification of Birds through Birdsong. CoRR abs/2212.04684 (2022) - [i5]Chenhao Tong, Aaron Harwood, Maria A. Rodriguez, Richard O. Sinnott:
Multi-Agent Patrolling with Battery Constraints through Deep Reinforcement Learning. CoRR abs/2212.08230 (2022) - 2021
- [j38]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: 108033 (2021) - [j37]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) - [j36]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: 285-298 (2021) - [j35]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): 1236-1253 (2021) - [c170]Richard O. Sinnott, Zijian Wang:
Linking User Accounts across Social Media Platforms. BDCAT 2021: 18-27 - [c169]Zuo Huang, Richard O. Sinnott, Qiuhong Ke:
Crowd Counting Using Deep Learning in Edge Devices. BDCAT 2021: 28-37 - [c168]Zihan Yang, Richard O. Sinnott, Qiuhong Ke, James Bailey:
Individual Feral Cat Identification through Deep Learning. BDCAT 2021: 101-110 - [c167]Maxim Priymak, Richard O. Sinnott:
Real-Time Traffic Classification through Deep Learning. BDCAT 2021: 128-133 - [c166]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: 1-6 - [c165]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: 169-176 - [c164]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: 1-10 - [c163]Zihan Yang, Richard O. Sinnott:
Snake Detection and Classification using Deep Learning. HICSS 2021: 1-10 - [c162]Yutao Dong, Qing Li, Richard O. Sinnott, Yong Jiang, Shutao Xia:
ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning. ICNP 2021: 1-11 - [c161]Yiqi Wang, Jiawen Li, Yabing Zhang, Richard O. Sinnott:
Identifying lameness in horses through deep learning. SAC 2021: 976-985 - [c160]Richard O. Sinnott, Yuan Wang, Yiqun Wang:
Real-time Route Planning using Mobile Air Pollution Detectors and Citizen Scientists. WiMob 2021: 139-144 - 2020
- [j34]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) - [c159]Richard O. Sinnott, Donghan Yang, Xueyang Ding, Zhenyuan Ye:
Poisonous Spider Recognition through Deep Learning. ACSW 2020: 14:1-14:7 - [c158]Fanyin Zhuang, Lei Ren, Qianying Dong, Richard O. Sinnott:
A Mobile Application Using Deep Learning to Automatically Classify Adult-Only Images. AIMS 2020: 140-155 - [c157]Deng Pan, Lixian Sun, Rui Wang, Xingjian Zhang, Richard O. Sinnott:
Deepfake Detection through Deep Learning. BDCAT 2020: 134-143 - [c156]Lixuan Ding, Lanting Ding, Richard O. Sinnott:
Fake News Classification of Social Media Through Sentiment Analysis. BigData 2020: 52-67 - [c155]Jingling Zhou, Shiyu Wang, Yunxue Chen, Richard O. Sinnott:
A Web Application for Feral Cat Recognition Through Deep Learning. BigData 2020: 85-100 - [c154]Pei-Yun Sun, Wan-Yun Sun, Yicheng Jin, Richard O. Sinnott:
Heavy Vehicle Classification Through Deep Learning. BigData 2020: 220-236 - [c153]Anthony Stell, Vedant Chauhan, Richard O. Sinnott:
Secure Audit in Support of an Adrenal Cancer Registry. HEALTHINF 2020: 237-248 - [c152]Lu Chen, Yiru Pan, Richard O. Sinnott:
Auto-scaling Walkability Analytics through Kubernetes and Docker SWARM on the Cloud. CLOSER 2020: 261-272 - [c151]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: 366-376 - [c150]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: 14-20 - [c149]Geoff Cunliffe, Chao Liang, Richard O. Sinnott:
Using Social Media to Understand City-wide Movement Patterns and Behaviours. SNAMS 2020: 1-8 - [c148]Tiange Wang, Fengkai Wu, Richard O. Sinnott:
A Case Study in Twitter Bot Identification: Are They Still a Problem? SNAMS 2020: 1-8 - [i4]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 abs/2010.11397 (2020)
2010 – 2019
- 2019
- [j33]Haiyang Yu, Zhen Yang, Richard O. Sinnott:
Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE Access 7: 6288-6296 (2019) - [j32]Kauthar Mohd Daud, Mohd Saberi Mohamad, Zalmiyah Zakaria, Rohayanti Hassan, Zuraini Ali Shah, Safaai Deris, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott:
A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout. Comput. Biol. Medicine 113 (2019) - [j31]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) - [j30]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): 59-73 (2019) - [j29]Yasser Aldwyan, Richard O. Sinnott:
Latency-aware failover strategies for containerized web applications in distributed clouds. Future Gener. Comput. Syst. 101: 1081-1095 (2019) - [c147]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: 146-155 - [c146]Minh Tri Truong, Aaron Harwood, Richard O. Sinnott, Shiping Chen:
Cost-Efficient Stream Processing on the Cloud. CLOUD 2019: 209-213 - [c145]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: 85 - [c144]Anirudh Joshi, Timothy Baldwin, Richard O. Sinnott, Cécile Paris:
Reevaluating Argument Component Extraction in Low Resource Settings. DeepLo@EMNLP-IJCNLP 2019: 219-224 - [c143]Mihira Wanninayake, Richard O. Sinnott:
An Exploration of Commuter Travel Time Through Social Media Analytics on the Cloud. BDCAT 2019: 43-51 - [c142]Peng Zhao, Xinrui Lyu, Richard O. Sinnott, Shimin Wei:
Crowd-Counting through a Cascaded, Multi-Task Convolutional Neural Network. BDCAT 2019: 63-66 - [c141]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: 117-126 - [c140]Huaqing Yu, Shining Song, Shaoxi Ma, Richard O. Sinnott:
Estimating Fruit Crop Yield through Deep Learning. BDCAT 2019: 145-148 - [c139]Ying Hu, Richard O. Sinnott:
Big Data Analytics Exploration of Green Space and Mental Health in Melbourne. CCGRID 2019: 648-657 - [c138]Arnaldo Pereira Ferreira, Richard O. Sinnott:
A Performance Evaluation of Containers Running on Managed Kubernetes Services. CloudCom 2019: 199-208 - [c137]Shangyu Chen, Shuo Wang, Richard O. Sinnott:
Parametric Canonical Correlation Analysis. CloudCom 2019: 347-353 - [c136]Richard O. Sinnott:
Migrating a National Cloud Platform for Urban Analytics: A Performance Assessment Framework. CloudCom 2019: 354-361 - [c135]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: 156-167 - [c134]Richard O. Sinnott:
The Design and Development of a Cloud-based Platform Supporting Team-oriented Evidence-based Reasoning: SWARM Systems Paper. HICSS 2019: 1-10 - [c133]Yao Pan, Ian Chen, Francisco V. Brasileiro, Glenn T. Jayaputera, Richard O. Sinnott:
A Performance Comparison of Cloud-Based Container Orchestration Tools. ICBK 2019: 191-198 - [c132]Shuo Wang, Surya Nepal, Richard O. Sinnott, Carsten Rudolph:
P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories. ICWS 2019: 1-10 - [c131]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: 26-47 - [c130]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: 12:1-12:10 - [c129]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: 36-44 - 2018
- [j28]Lei Wang, Qing Li, Richard O. Sinnott, Yong Jiang, Jianping Wu:
An intelligent rule management scheme for Software Defined Networking. Comput. Networks 144: 77-88 (2018) - [j27]Timothy van Gelder, Richard de Rozario, Richard O. Sinnott:
SWARM: Cultivating Evidence-Based Reasoning. Comput. Sci. Eng. 20(6): 22-34 (2018) - [j26]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: 765-775 (2018) - [j25]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Privacy-protected statistics publication over social media user trajectory streams. Future Gener. Comput. Syst. 87: 792-802 (2018) - [j24]Yang Lu, Richard O. Sinnott:
Semantic privacy-preserving framework for electronic health record linkage. Telematics Informatics 35(4): 737-752 (2018) - [c128]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: 754-761 - [c127]Shanshan Chen, Xudong Zhou, Guiping Zhou, Richard O. Sinnott:
Distributed Data Load Balancing for Scalable Key-Value Cache Systems. ACA 2018: 181-194 - [c126]Richard O. Sinnott, Ziyue Guan:
Prediction of Air Pollution through Machine Learning Approaches on the Cloud. BDCAT 2018: 51-60 - [c125]Richard O. Sinnott, Fang Wu, Wenbin Chen:
A Mobile Application for Dog Breed Detection and Recognition Based on Deep Learning. BDCAT 2018: 87-96 - [c124]Anirudh Joshi, Richard O. Sinnott:
Modelling Implicit Content Networks to Track Information Propagation Across Media Sources to Analyze News Events. eScience 2018: 475-485 - [c123]Yikai Gong, Richard O. Sinnott, Paul Rimba:
RT-DBSCAN: Real-Time Parallel Clustering of Spatio-Temporal Data Using Spark-Streaming. ICCS (1) 2018: 524-539 - [c122]Chang Liu, Richard O. Sinnott:
A Platform for Exploring Social Media Analytics of Fast Food Restaurants in Australia. ICCSA (1) 2018: 231-244 - [c121]Ke Kang, Richard O. Sinnott:
Improving Online Argumentation Through Deep Learning. ICCSA (1) 2018: 376-391 - [c120]Yang Hong, Richard O. Sinnott:
A Social Media Platform for Infectious Disease Analytics. ICCSA (1) 2018: 526-540 - [c119]Shuo Wang, Richard O. Sinnott, Surya Nepal:
A Privacy-Preserving Semantic Annotation Framework Using Online Social Media. ICWS 2018: 353-372 - [c118]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: 1124-1128 - [c117]Yang Lu, Richard O. Sinnott, Karin Verspoor:
Semantic-Based Policy Composition for Privacy-Demanding Data Linkage. TrustCom/BigDataSE 2018: 348-359 - [c116]Shuo Wang, Richard O. Sinnott, Surya Nepal:
PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. TrustCom/BigDataSE 2018: 920-931 - [c115]Shuo Wang, Richard O. Sinnott, Surya Nepal:
P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. TrustCom/BigDataSE 2018: 972-983 - [c114]Yang Lu, Richard O. Sinnott, Karin Verspoor, Udaya Parampalli:
Privacy-Preserving Access Control in Electronic Health Record Linkage. TrustCom/BigDataSE 2018: 1079-1090 - [c113]Richard O. Sinnott, Yikai Gong, Shiping Chen, Paul Rimba:
Urban Traffic Analysis Using Social Media Data on the Cloud. UCC Companion 2018: 134-141 - [c112]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: 327-334 - [i3]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 - 2017
- [j23]Sehrish Kanwal, Farah Zaib Khan, Andrew Lonie, Richard O. Sinnott:
Investigating reproducibility and tracking provenance - A genomic workflow case study. BMC Bioinform. 18(1): 337 (2017) - [j22]Shuo Wang, Richard O. Sinnott:
Protecting personal trajectories of social media users through differential privacy. Comput. Secur. 67: 142-163 (2017) - [j21]Zhanibek Kozhirbayev, Richard O. Sinnott:
A performance comparison of container-based technologies for the Cloud. Future Gener. Comput. Syst. 68: 175-182 (2017) - [j20]Richard O. Sinnott, Wei Wang:
Estimating micro-populations through social media analytics. Soc. Netw. Anal. Min. 7(1): 13:1-13:19 (2017) - [j19]Surya Nepal, Richard O. Sinnott, Carsten Friedrich, Catherine Wise, Shiping Chen, Sehrish Kanwal, Jinhui Yao, Andrew Lonie:
TruXy: Trusted Storage Cloud for Scientific Workflows. IEEE Trans. Cloud Comput. 5(3): 428-442 (2017) - [c111]