Dr. Ryan McConville

picture of me

University of Bristol

ryan.mcconville@bristol.ac.uk

This is my webpage. TODO.

In the meantime if you want to play with some accelerometer and RSSI calibration (training) data from a smart home please see here.

We also have a cool machine learning reading group every two fridays in the University of Bristol; you can find out more here.

Peer Reviewed Publications

[1] Ryan McConville, Dallan Byrne, Ian Craddock, Robert Piechocki, James Pope, and Raul Santos-Rodriguez. A dataset for room level indoor localization using a smart home in a box. Data in Brief, 22:1044 -- 1051, 2019. [ bib | .pdf ]
[2] Michal Kozlowski, Ryan McConville, Raul Santos-Rodriguez, and Robert J Piechocki. Energy efficiency in reinforcement learning for wireless sensor networks. In Green Data Mining, 6 2018. [ bib | .pdf ]
[3] Alexander Hepburn, Ryan McConville, Raul Santos-Rodriguez, Jesús Cid-Sueiro, and Darío García-García. Proper losses for learning with example-dependent costs. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018). CEUR Workshop Proceedings, 6 2018. [ bib | .pdf ]
[4] Ryan McConville, Gareth Archer, Ian Craddock, Herman ter Horst, Robert Piechocki, James Pope, and Raul Santos-Rodriguez. Online heart rate prediction using acceleration from a wrist worn wearable. In KDD Workshop on Machine Learning for Medicine and Healthcare, 8 2018. [ bib | .pdf ]
[5] Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter Flach, and Ian Craddock. A comprehensive study of activity recognition using accelerometers. Informatics, 5(2), 6 2018. [ bib | DOI | .pdf ]
[6] Ryan McConville, Raul Santos-Rodriguez, and Niall Twomey. Person identification and discovery with wrist worn accelerometer data. In Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2018, pages 615--620, 3 2018. [ bib | .pdf ]
[7] Ryan McConville, Weiru Liu, and Jun Hong. Vertex deduplication based on string similarity and community membership. In Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications), volume 689 of Studies in Computational Intelligence, pages 178--189. Springer-Verlag Berlin, 2018. [ bib | DOI | .pdf ]
[8] Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert Piechocki, Raul Santos-Rodriguez, and Ian Craddock. On-board feature extraction from acceleration data for activity recognition. In Proceedings of the International Conference on Embedded Wireless Systems and Networks, pages 163--168, United States, 12 2017. Association for Computing Machinery (ACM). [ bib | .pdf ]
[9] Ryan McConville, Dallan Byrne, Ian Craddock, Robert Piechocki, James Pope, and Raul Santos-Rodriguez. Understanding the quality of calibrations for indoor localisation. In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT 2018), United States, 11 2017. Institute of Electrical and Electronics Engineers (IEEE). [ bib | DOI | .pdf ]
[10] Alex Hepburn, Ryan McConville, and Raul Santos-Rodriguez. Album cover generation from genre tags. In 10th International Workshop on Machine Learning and Music, 10 2017. [ bib | .pdf ]
[11] James Pope, Ryan McConville, Michal Kozlowski, Xenofon Fafoutis, Raul Santos-Rodriguez, Robert Piechocki, and Ian Craddock. Sphere in a box: Practical and scalable eurvalve activity monitoring smart home kit. In 2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN Workshops 2017), pages 128--135, United States, 10 2017. Institute of Electrical and Electronics Engineers (IEEE). [ bib | DOI | .pdf ]
[12] Leonie Tanczer, Ryan McConville, and Peter Maynard. Censorship and surveillance in the digital age: The technological challenges for academics. Journal of Global Security Studies, 1(4):346--355, 11 2016. [ bib | DOI | .pdf ]
[13] Ryan McConville, Xin Cao, Weiru Liu, and Paul Miller. Accelerating large scale centroid-based clustering with locality sensitive hashing. In 2016 IEEE 32nd International Conference on Data Engineering (ICDE 2016), pages 649--660, United States, 8 2016. Institute of Electrical and Electronics Engineers (IEEE). [ bib | DOI | .pdf ]
[14] Ryan McConville, Weiru Liu, and Paul Miller. Vertex clustering of augmented graph streams. In Proceedings of the 2015 SIAM International Conference on Data Mining, pages 109--117, United States, 3 2015. Society for Industrial and Applied Mathematics. [ bib | DOI | .pdf ]