2019

  1. HyperStream: a Workflow Engine for Streaming Data Diethe, Tom, Kull, Meelis, Twomey, Niall, Sokol, Kacper, Song, Hao, Perello-Nieto, Miquel, Tonkin, Emma, and Flach, Peter arXiv preprint arXiv:1908.02858 2019 [Abs] [PDF]
  2. Neural ODEs with stochastic vector field mixtures Twomey, Niall, Kozłowski, Michał, and Santos-Rodrı́guez, Raúl arXiv preprint arXiv:1905.09905 2019 [Abs] [PDF]
  3. Ordinal Regression as Structured Classification Twomey, Niall, Poyiadzi, Rafael, Mann, Callum, and Santos-Rodrı́guez, Raúl arXiv preprint arXiv:1905.13658 2019 [Abs] [PDF]
  4. Active Learning with Label Proportions Poyiadzi, Rafael, Santos-Rodrı́guez, Raul, and Twomey, Niall In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 [Abs] [PDF]
  5. An application of hierarchical Gaussian processes to the detection of anomalies in star light curves Twomey, Niall, Chen, Haoyan, Diethe, Tom, and Flach, Peter Neurocomputing 2019 [Abs] [PDF]

2018

  1. Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User’s Perspective Tonkin, Emma, Burrows, Alison, Woznowski, Przemysław, Laskowski, Pawel, Yordanova, Kristina, Twomey, Niall, and Craddock, Ian Sensors 2018 [Abs] [PDF]
  2. Label Propagation for Learning with Label Proportions Poyiadzi, Rafael, Santos-Rodrı́guez, Raul, and Twomey, Niall In 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) 2018 [Abs] [PDF]
  3. A Guide to the SPHERE 100 Homes Study Dataset Elsts, Atis, Burghardt, Tilo, Byrne, Dallan, Camplani, Massimo, Damen, Dima, Fafoutis, Xenofon, Hannuna, Sion, Harwin, William, Holmes, Michael, Janko, Balazs, Ponce Lopez, Alessandro, Mirmehdi, Majid, Oikonomou, George, Piechocki, Robert, Sherratt, Simon, Tonkin, Emma, Twomey, Niall, Vafeas, Antonis, Woznowski, Przemyslaw, and Craddock, Ian arXiv preprint arXiv:1805.11907 2018 [Abs] [PDF]
  4. On-Board Feature Extraction from Acceleration Data for Activity Recognition Elsts, Atis, McConville, Ryan, Fafoutis, Xenofon, Twomey, Niall, Piechocki, Robert, Santos-Rodrı́guez, Raul, and Craddock, Ian In Proceedings of the International Conference on Embedded Wireless Systems and Networks 2018 [Abs] [PDF]
  5. Anomaly Detection in Star Light Curves using Hierarchical Gaussian Processes Chen, Haoyan, Diethe, Tom, Twomey, Niall, and Flach, Peter In European Symposium on Artificial Neural Networks (ESANN) 2018 [Abs] [PDF]
  6. Person Identification and Discovery With Wrist Worn Accelerometer Data McConville, Ryan, Santos-Rodrı́guez, Raúl, and Twomey, Niall In European Symposium on Artificial Neural Networks (ESANN) 2018 [Abs] [PDF]
  7. Efficient Approximate Representations of Computationally Expensive Features Santos-Rodrı́guez, Raul, and Twomey, Niall In European Symposium on Artificial Neural Networks (ESANN) 2018 [Abs] [PDF]
  8. A Comprehensive Study of Activity Recognition Using Accelerometers Twomey, Niall, Diethe, Tom, Fafoutis, Xenofon, Elsts, Atis, McConville, Ryan, Flach, Peter, and Craddock, Ian In Informatics 2018 [Abs] [PDF]
  9. Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project Diethe, Tom, Holmes, Mike, Kull, Meelis, Perello-Nieto, Miquel, Sokol, Kacper, Song, Hao, Tonkin, Emma, Twomey, Niall, and Flach, Peter In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 [Abs] [PDF]

2017

  1. SPHERE: A sensor platform for healthcare in a residential environment Woznowski, Przemyslaw, Burrows, Alison, Diethe, Tom, Fafoutis, Xenofon, Hall, Jake, Hannuna, Sion, Camplani, Massimo, Twomey, Niall, Kozlowski, Michal, Tan, Bo, and others, 2017 [Abs]
  2. Unsupervised learning of sensor topologies for improving activity recognition in smart environments Twomey, Niall, Diethe, Tom, Craddock, Ian, and Flach, Peter Neurocomputing 2017 [Abs] [PDF]
  3. Probabilistic sensor fusion for ambient assisted living Diethe, Tom, Twomey, Niall, Kull, Meelis, Flach, Peter, and Craddock, Ian arXiv preprint arXiv:1702.01209 2017 [Abs] [PDF]
  4. Talk, text or tag? Woznowski, Przemyslaw, Tonkin, Emma, Laskowski, Pawel, Twomey, Niall, Yordanova, Kristina, and Burrows, Alison In 1st International Workshop on Annotation of useR Data for UbiquitOUs Systems at Pervasive Computing’ to PERCOM 2017 2017 [Abs] [PDF]

2016

  1. The SPHERE challenge: Activity recognition with multimodal sensor data Twomey, Niall, Diethe, Tom, Kull, Meelis, Song, Hao, Camplani, Massimo, Hannuna, Sion, Fafoutis, Xenofon, Zhu, Ni, Woznowski, Pete, Flach, Peter, and others, arXiv preprint arXiv:1603.00797 2016 [Abs] [PDF]
  2. Active transfer learning for activity recognition Diethe, Tom, Twomey, Niall, and Flach, Peter In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2016 [Abs] [PDF]
  3. On the need for structure modelling in sequence prediction Twomey, Niall, Diethe, Tom, and Flach, Peter Machine Learning 2016 [Abs] [PDF]
  4. BDL. NET: Bayesian dictionary learning in Infer. NET Diethe, Tom, Twomey, Niall, and Flach, Peter In 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) 2016 [Abs] [PDF]

2015

  1. Bayesian Active Transfer Learning in Smart Homes Diethe, Tom, Twomey, Niall, and Flach, Peter In Advances in Active Learning : Bridging Theory and Practice, ICML 2015 2015 [Abs] [PDF]
  2. Bridging e-health and the internet of things: The sphere project Zhu, Ni, Diethe, Tom, Camplani, Massimo, Tao, Lili, Burrows, Alison, Twomey, Niall, Kaleshi, Dritan, Mirmehdi, Majid, Flach, Peter, and Craddock, Ian IEEE Intelligent Systems 2015 [Abs] [PDF]
  3. Bayesian Active Learning with Evidence-Based Instance Selection Twomey, Niall, Diethe, Tom, and Flach, Peter In Second International Workshop on Learning over Multiple Contexts in conjunction with ECML PKDD 2015 2015 [Abs] [PDF]
  4. Gaussian Process Model Re-Use Diethe, Tom, Twomey, Niall, and Flach, Peter In 2nd International Workshop on Learning over Multiple Contexts (LMCE 2015), in conjunction with ECML PKDD 2015 2015 [Abs] [PDF]
  5. Bayesian modelling of the temporal aspects of smart home activity with circular statistics Diethe, Tom, Twomey, Niall, and Flach, Peter In Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2015 [Abs] [PDF]
  6. An RSSI-based Wall Prediction Model for Residential Floor Map Construction Fafoutis, Xenofon, Mellios, Evangelos, Twomey, Niall, Diethe, Tom, Hilton, Geoffrey, and Piechocki, Robert In 2nd IEEE World Forum on Internet of Things (WF-IoT), 2015 [Abs] [PDF]

2014

  1. Context Modulation of Sensor Data Applied to Activity Recognition in Smart Homes Twomey, Niall, and Flach, Peter In Workshop on Learning over Multiple Contexts, European Conference on Machine Learning (ECML’14) 2014 [Abs] [PDF]
  2. SPHERE-a Sensor Platform for HEalthcare in a Residential Environment Diethe, Tom R, Twomey, Niall, and Flach, Peter 2014 [Abs]
  3. A Machine Learning Approach to Objective Cardiac Event Detection Twomey, N, and Flach, P In The 8th International Conference on Complex, Intelligent and Software Intensive Systems 2014 [Abs] [PDF]

2013

  1. Twomey, N. (2013). Digital signal processing and artificial intelligence for the automated classification of food allergy. University College Cork. [Abs] [PDF]
  2. Real-time allergy detection Gutierrez Rivas, Raquel, Garcia Dominguez, Juan Jesus, Marnane, William P, Twomey, Niall, and Temko, Andriy In Intelligent Signal Processing (WISP), 2013 IEEE 8th International Symposium on 2013 [Abs] [PDF]
  3. Automated detection of perturbed cardiac physiology during oral food allergen challenge in children Twomey, Niall, Temko, Andrey, Hourihane, JO’B, and Marnane, William P IEEE journal of biomedical and health informatics 2013 [Abs] [PDF]
  4. Monitoring of heart rate variability during oral food challenge could improve patient safety and diagnostic yield: 837 Twomey, N, Temko, A, Cullinane, C, Daly, D, Marnane, WP, and Hourihane, JO Allergy: European Journal of Allergy and Clinical Immunology 2013 [Abs]

2011

  1. Allergy detection with statistical modelling of HRV-based non-reaction baseline features Twomey, Niall, Temko, Andrey, Hourihane, Jonathan O’B, and Marnane, William P In Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies 2011 [Abs] [PDF]

2010

  1. Comparison of accelerometer-based energy expenditure estimation algorithms Twomey, Niall, Faul, Stephen, and Marnane, William P In 2010 4th International Conference on Pervasive Computing Technologies for Healthcare 2010 [Abs] [PDF]
  2. The effect of lossy ECG compression on QRS and HRV feature extraction Twomey, Niall, Walsh, Noel, Doyle, Orla, McGinley, Brian, Glavin, Martin, Jones, Edward, and Marnane, WP In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010 [Abs] [PDF]
  3. Classification of biophysical changes during food allergy challenges Twomey, Niall, Faul, Stephen, Daly, Deirdre, Hourihane, Jonathan O’B, and Marnane, William P In 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010) 2010 [Abs] [PDF]