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ORCIDNiall Twomey
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- affiliation: University of Bristol, UK
- affiliation: University College Cork, Ireland
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2020 – today
- 2024
[c24]Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez:
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. AAAI 2024: 21744-21752- [c23]Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey:
Inherently Interpretable Time Series Classification via Multiple Instance Learning. ICLR 2024 - 2023
- [c22]Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie:
Low-Count Time Series Anomaly Detection. MLSP 2023: 1-6 - [i17]Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie:
Low-count Time Series Anomaly Detection. CoRR abs/2308.12925 (2023) - [i16]Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey:
Inherently Interpretable Time Series Classification via Multiple Instance Learning. CoRR abs/2311.10049 (2023) - [i15]Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez:
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. CoRR abs/2312.10238 (2023) - 2022
- [c21]Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero:
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. EDM 2022 - [c20]Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez:
Hypothesis Testing for Class-Conditional Label Noise. ECML/PKDD (3) 2022: 171-186 - [p1]Weisong Yang, Rafael Poyiadzi, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez
, James Selwood, Niall Twomey:
Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations. Integrating Artificial Intelligence and IoT for Advanced Health Informatics 2022: 25-52 - [i14]Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis Miguel Vaquero:
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. CoRR abs/2203.10170 (2022) - 2021
- [c19]Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. SIGIR 2021: 2106-2110 - [i13]Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez:
Statistical Hypothesis Testing for Class-Conditional Label Noise. CoRR abs/2103.02630 (2021) - [i12]Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. CoRR abs/2105.04971 (2021) - [i11]Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero:
Multi-Field Models in Neural Recipe Ranking - An Early Exploratory Study. CoRR abs/2105.05710 (2021) - [i10]Luis M. Vaquero, Niall Twomey, Miguel Patricio Dias, Massimo Camplani, Robert Hardman:
Towards Continuous Compounding Effects and Agile Practices in Educational Experimentation. CoRR abs/2112.01243 (2021) - 2020
- [j8]Atis Elsts, Niall Twomey, Ryan McConville, Ian Craddock:
Energy-efficient activity recognition framework using wearable accelerometers. J. Netw. Comput. Appl. 168: 102770 (2020) - [c18]Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey:
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. AAI4H@ECAI 2020: 23-27 - [c17]Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez:
Neural ODEs with Stochastic Vector Field Mixtures. ECAI 2020: 1555-1562 - [c16]Niall Twomey, Mikhail Fain, Andrey Ponikar, Nadine Sarraf:
Towards Multi-Language Recipe Personalisation and Recommendation. RecSys 2020: 708-713 - [i9]Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey:
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. CoRR abs/2007.03615 (2020) - [i8]Mikhail Fain, Andrey Ponikar, Nadine Sarraf, Niall Twomey:
Towards Multi-Language Recipe Personalisation and Recommendation. CoRR abs/2007.13440 (2020) - [i7]Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero:
Non-Linear Multiple Field Interactions Neural Document Ranking. CoRR abs/2011.09580 (2020)
2010 – 2019
- 2019
- [j7]Niall Twomey, Haoyan Chen, Tom Diethe, Peter A. Flach:
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves. Neurocomputing 342: 152-163 (2019) - [c15]Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey:
Active Learning with Label Proportions. ICASSP 2019: 3097-3101 - [i6]Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez:
Neural ODEs with stochastic vector field mixtures. CoRR abs/1905.09905 (2019) - [i5]Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez:
Ordinal Regression as Structured Classification. CoRR abs/1905.13658 (2019) - [i4]Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach:
HyperStream: a Workflow Engine for Streaming Data. CoRR abs/1908.02858 (2019) - 2018
- [j6]Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter A. Flach, Ian Craddock:
A Comprehensive Study of Activity Recognition Using Accelerometers. Informatics 5(2): 27 (2018) - [j5]Emma Tonkin, Alison Burrows, Przemyslaw Woznowski, Pawel Laskowski, Kristina Y. Yordanova, Niall Twomey, Ian Craddock:
Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User's Perspective. Sensors 18(7): 2365 (2018) - [c14]Haoyan Chen, Tom Diethe, Niall Twomey, Peter A. Flach:
Anomaly detection in star light curves using hierarchical Gaussian processes. ESANN 2018 - [c13]Ryan McConville, Raúl Santos-Rodríguez, Niall Twomey:
Person Identification and Discovery With Wrist Worn Accelerometer Data. ESANN 2018 - [c12]Raúl Santos-Rodríguez, Niall Twomey:
Efficient approximate representations for computationally expensive features. ESANN 2018 - [c11]Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert J. Piechocki, Raúl Santos-Rodriguez, Ian Craddock:
On-Board Feature Extraction from Acceleration Data for Activity Recognition. EWSN 2018: 163-168 - [c10]Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach:
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project. KDD 2018: 243-252 - [c9]Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey:
Label Propagation for Learning with Label proportions. MLSP 2018: 1-6 - [i3]Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey:
Label Propagation for Learning with Label Proportions. CoRR abs/1810.10328 (2018) - 2017
- [j4]Niall Twomey, Tom Diethe, Ian Craddock, Peter A. Flach:
Unsupervised learning of sensor topologies for improving activity recognition in smart environments. Neurocomputing 234: 93-106 (2017) - [c8]Przemyslaw Woznowski, Emma Tonkin, Pawel Laskowski, Niall Twomey, Kristina Y. Yordanova, Alison Burrows:
Talk, text or tag? PerCom Workshops 2017: 123-128 - [i2]Tom Diethe, Niall Twomey, Meelis Kull, Peter A. Flach, Ian Craddock:
Probabilistic Sensor Fusion for Ambient Assisted Living. CoRR abs/1702.01209 (2017) - 2016
- [j3]Niall Twomey, Tom Diethe, Peter A. Flach:
On the need for structure modelling in sequence prediction. Mach. Learn. 104(2-3): 291-314 (2016) - [c7]Tom Diethe, Niall Twomey, Peter A. Flach:
Active transfer learning for activity recognition. ESANN 2016 - [c6]Tom Diethe, Niall Twomey, Peter A. Flach:
BDL.NET: Bayesian dictionary learning in Infer.NET. MLSP 2016: 1-6 - [i1]Niall Twomey, Tom Diethe, Meelis Kull, Hao Song, Massimo Camplani, Sion L. Hannuna, Xenofon Fafoutis, Ni Zhu, Pete Woznowski, Peter A. Flach, Ian Craddock:
The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data. CoRR abs/1603.00797 (2016) - 2015
- [j2]Ni Zhu, Tom Diethe, Massimo Camplani, Lili Tao, Alison Burrows, Niall Twomey, Dritan Kaleshi, Majid Mirmehdi, Peter A. Flach, Ian Craddock:
Bridging e-Health and the Internet of Things: The SPHERE Project. IEEE Intell. Syst. 30(4): 39-46 (2015) - [c5]Tom Diethe, Niall Twomey, Peter A. Flach:
Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics. ECML/PKDD (2) 2015: 279-294 - [c4]Xenofon Fafoutis, Evangelos Mellios, Niall Twomey, Tom Diethe, Geoffrey S. Hilton, Robert J. Piechocki:
An RSSI-based wall prediction model for residential floor map construction. WF-IoT 2015: 357-362 - 2014
- [j1]Niall Twomey, Andrey Temko, Jonathan O'B. Hourihane, William P. Marnane:
Automated Detection of Perturbed Cardiac Physiology During Oral Food Allergen Challenge in Children. IEEE J. Biomed. Health Informatics 18(3): 1051-1057 (2014) - [c3]Niall Twomey, Peter A. Flach:
A Machine Learning Approach to Objective Cardiac Event Detection. CISIS 2014: 519-524 - 2011
- [c2]Niall Twomey, Andrey Temko, Jonathan O'B. Hourihane, William P. Marnane:
Allergy detection with statistical modelling of HRV-based non-reaction baseline features. ISABEL 2011: 134:1-134:5 - 2010
- [c1]Niall Twomey, Stephen Faul, William P. Marnane:
Comparison of accelerometer-based energy expenditure estimation algorithms. PervasiveHealth 2010: 1-8
Coauthor Index
aka: Raúl Santos-Rodriguez
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last updated on 2024-10-07 22:24 CEST by the dblp team
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