| N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding R McConville, R Santos-Rodriguez, RJ Piechocki, I Craddock 25th International Conference on Pattern Recognition (ICPR), 2020 | 181 | 2020 |
| A comprehensive study of activity recognition using accelerometers N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ... Informatics 5 (2), 27, 2018 | 178 | 2018 |
| MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset DS Nielsen, R McConville Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 147 | 2022 |
| Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes H Emerson, M Guy, R McConville Journal of Biomedical Informatics 142, 104376, 2023 | 87 | 2023 |
| OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors MJ Bocus, W Li, S Vishwakarma, R Kou, C Tang, K Woodbridge, ... Scientific data 9 (1), 474, 2022 | 82 | 2022 |
| Outdoor localization using BLE RSSI and accessible pedestrian signals for the visually impaired at intersections K Shin, R McConville, O Metatla, M Chang, C Han, J Lee, A Roudaut Sensors 22 (1), 371, 2022 | 46 | 2022 |
| Intraperitoneal drain placement and outcomes after elective colorectal surgery: international matched, prospective, cohort study British Journal of Surgery 109 (6), 520-529, 2022 | 42 | 2022 |
| On-board feature extraction from acceleration data for activity recognition A Elsts, R McConville, X Fafoutis, N Twomey, R Piechocki, ... EWSN’18: Proceedings of the 2018 International Conference on Embedded …, 2018 | 37 | 2018 |
| Multimodal classification of parkinson’s disease in home environments with resiliency to missing modalities F Heidarivincheh, R McConville, C Morgan, R McNaney, A Masullo, ... Sensors 21 (12), 4133, 2021 | 36 | 2021 |
| PerceptNet: a human visual system inspired neural network for estimating perceptual distance A Hepburn, V Laparra, J Malo, R McConville, R Santos-Rodriguez IEEE International Conference on Image Processing, 2020 | 36 | 2020 |
| Are microcontrollers ready for deep learning-based human activity recognition? A Elsts, R McConville Electronics 10 (21), 2640, 2021 | 29 | 2021 |
| Optimising TinyML with quantization and distillation of transformer and mamba models for indoor localisation on edge devices T Suwannaphong, F Jovan, I Craddock, R McConville Scientific Reports 15 (1), 10081, 2025 | 28 | 2025 |
| Vesta: A digital health analytics platform for a smart home in a box R McConville, G Archer, I Craddock, M Kozłowski, R Piechocki, J Pope, ... Future Generation Computer Systems 114, 106-119, 2021 | 28 | 2021 |
| Sphere in a box: Practical and scalable eurvalve activity monitoring smart home kit J Pope, R McConville, M Kozlowski, X Fafoutis, R Santos-Rodriguez, ... 2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN …, 2017 | 28 | 2017 |
| Exploring perceptions of cross-sectoral data sharing with people with Parkinson’s R McNaney, C Morgan, P Kulkarni, J Vega, F Heidarivincheh, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 26 | 2022 |
| Energy-efficient activity recognition framework using wearable accelerometers A Elsts, N Twomey, R McConville, I Craddock Journal of Network and Computer Applications 168, 102770, 2020 | 24 | 2020 |
| Social Network Influence Ranking via Embedding Network Interactions for User Recommendation H Bo, R McConville, J Hong, W Liu In Companion Proceedings of the Web Conference 2020 (WWW ’20), 379–384, 2020 | 24 | 2020 |
| Censorship and surveillance in the digital age: The technological challenges for academics LM Tanczer, R McConville, P Maynard Journal of Global Security Studies 1 (4), 346-355, 2016 | 24 | 2016 |
| A multimodal dataset of real world mobility activities in Parkinson’s disease C Morgan, EL Tonkin, A Masullo, F Jovan, A Sikdar, P Khaire, M Mirmehdi, ... Scientific data 10 (1), 918, 2023 | 21 | 2023 |
| A dataset for room level indoor localization using a smart home in a box R McConville, D Byrne, I Craddock, R Piechocki, J Pope, ... Data in brief 22, 1044-1051, 2019 | 21 | 2019 |
Ian CraddockUniversity of BristolVerified email at bristol.ac.uk
