[30] James Neve and Ryan McConville. Photos are all you need for reciprocal recommendation in online dating. arXiv, 2021. [ bib | arXiv ]
[29] Farnoosh Heidarivincheh, Ryan McConville, Catherine Morgan, Roisin McNaney, Alessandro Masullo, Majid Mirmehdi, Alan L. Whone, and Ian Craddock. Multimodal classification of parkinson’s disease in home environments with resiliency to missing modalities. Sensors, 21(12), 2021. [ bib | DOI | http ]
[28] Hok-Shing Lau, Ryan McConville, Mohammud J. Bocus, Robert J. Piechocki, and Raul Santos-Rodriguez. Self-supervised wifi-based activity recognition. arXiv, 2021. [ bib | arXiv ]
[27] Hongbo Bo, Ryan McConville, Jun Hong, and Weiru Liu. Social influence prediction with train and test time augmentation for graph neural networks. In 2021 International Joint Conference on Neural Networks (IJCNN), 2021. [ bib | arXiv ]
[26] Catherine Morgan, Farnoosh Heidarivincheh, Ian Craddock, Ryan McConville, Miquel Perello Nietó, Emma L. Tonkin, Alessandro Masullo, Antonis Vafeas, Mickey Kim, Roisin McNaney, Gregory Tourte, and Alan Whone. Data labelling in the wild: Annotating free-living activities and parkinson’s disease symptoms. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2021. [ bib ]
[25] Ryan McConville, Gareth Archer, Ian Craddock, Michał Kozłowski, Robert Piechocki, James Pope, and Raul Santos-Rodriguez. Vesta: A digital health analytics platform for a smart home in a box. Future Generation Computer Systems, 114:106 -- 119, 2021. [ bib | DOI | http ]
[24] Catherine Morgan, Ian Craddock, Emma L Tonkin, Kirsi M Kinnunen, Roisin McNaney, Sam Whitehouse, Majid Mirmehdi, Farnoosh Heidarivincheh, Ryan McConville, Julia Carey, Alison Horne, Michal Rolinski, Lynn Rochester, Walter Maetzler, Helen Matthews, Oliver Watson, Rachel Eardley, and Alan L Whone. Protocol for pd sensors: Parkinsons disease symptom evaluation in a naturalistic setting producing outcome measures using sphere technology. an observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in parkinson’s disease. BMJ Open, 10(11), 2020. [ bib | DOI | http ]
[23] James Neve and Ryan McConville. Imrec: Learning reciprocal preferences using images. In Fourteenth ACM Conference on Recommender Systems, RecSys '20, page 170–179, New York, NY, USA, 2020. Association for Computing Machinery. [ bib | DOI | http ]
[22] Junaid J Bocus, Jonas Paulavicius, Ryan McConville, Raul Santos-Rodriguez, and Robert J Piechocki. Low cost localisation in residential environments using high resolution cir information. In 2020 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, 2020, pages 1--6, United States, August 2020. Institute of Electrical and Electronics Engineers (IEEE). [ bib ]
[21] Atis Elsts, Niall Twomey, Ryan McConville, and Ian Craddock. Energy-efficient activity recognition framework using wearable accelerometers. Journal of Network and Computer Applications, 168:102770, 2020. [ bib | DOI | http ]
[20] Ryan McConville, Raul Santos-Rodriguez, Robert J Piechocki, and Ian Craddock. N2d:(not too) deep clustering via clustering the local manifold of an autoencoded embedding. In 25th International Conference on Pattern Recognition, ICPR 2020. IEEE Computer Society, 2020. [ bib | .pdf ]
[19] Mohammud J. Bocus, Wenda Li, Jonas Paulavicius, Ryan McConville, Raul Santos-Rodriguez, Kevin Chetty, and Robert Piechocki. Translation resilient opportunistic wifi sensing. In 25th International Conference on Pattern Recognition, ICPR 2020. IEEE Computer Society, 2020. [ bib ]
[18] Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, and Raul Santos-Rodriguez. Perceptnet: A human visual system inspired neural network for estimating perceptual distance. In The 27th IEEE International Conference on Image Processing (ICIP 2020), 2020. [ bib | .pdf ]
[17] Hongbo Bo, Ryan McConville, Jun Hong, and Weiru Liu. Social network influence ranking via embedding network interactions for user recommendation. In Companion Proceedings of the Web Conference 2020, WWW ’20, page 379–384, New York, NY, USA, 2020. Association for Computing Machinery. [ bib | DOI | http ]
[16] Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, and Atis Elsts. Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. page arXiv:1908.06134, Aug 2019. [ bib | arXiv ]
[15] Alex Hepburn, Valero Laparra, Ryan McConville, and Raul Santos-Rodriguez. Enforcing perceptual consistency on generative adversarial networks by using the normalised laplacian pyramid distance. In Proceedings of the Northern Lights Deep Learning Workshop 2020, volume 1. Septentrio Academic Publishing, February 2020. [ bib | DOI ]
[14] 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 | DOI | .pdf ]
[13] 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 ]
[12] 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 ]
[11] 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 ]
[10] 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 ]
[9] 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 ]
[8] 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 ]
[7] 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 ]
[6] 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 ]
[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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 ]

This file was generated by bibtex2html 1.99.