Niall Twomey

50 papers A* 4A 2B 6Misc 2Journal 25Unranked 10
YearRankTypeTitle / Venue / Authors
2024 A* conf
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.
AAAI
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
2024 A* conf
Inherently Interpretable Time Series Classification via Multiple Instance Learning.
ICLR
Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
2023 J jnl
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.
CoRR
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
2023 J jnl
Inherently Interpretable Time Series Classification via Multiple Instance Learning.
CoRR
Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
2023 — conf
Low-Count Time Series Anomaly Detection.
MLSP
Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie
2023 J jnl
Low-count Time Series Anomaly Detection.
CoRR
Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie
2022 — ch.
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
Weisong Yang, Rafael Poyiadzi, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
2022 B conf
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.
EDM
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero
2022 J jnl
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.
CoRR
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis Miguel Vaquero
2022 — conf
Hypothesis Testing for Class-Conditional Label Noise.
ECML/PKDD (3)
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
2021 A* conf
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora.
SIGIR
Mikhail Fain, Niall Twomey, Danushka Bollegala
2021 J jnl
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora.
CoRR
Mikhail Fain, Niall Twomey, Danushka Bollegala
2021 J jnl
Multi-Field Models in Neural Recipe Ranking - An Early Exploratory Study.
CoRR
Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero
2021 J jnl
Statistical Hypothesis Testing for Class-Conditional Label Noise.
CoRR
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
2021 J jnl
Towards Continuous Compounding Effects and Agile Practices in Educational Experimentation.
CoRR
Luis M. Vaquero, Niall Twomey, Miguel Patricio Dias, Massimo Camplani, Robert Hardman
2020 — conf
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
AAI4H@ECAI
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
2020 J jnl
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
CoRR
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
2020 J jnl
Energy-efficient activity recognition framework using wearable accelerometers.
J. Netw. Comput. Appl.
Atis Elsts, Niall Twomey, Ryan McConville, Ian Craddock
2020 A conf
Neural ODEs with Stochastic Vector Field Mixtures.
ECAI
Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez
2020 J jnl
Non-Linear Multiple Field Interactions Neural Document Ranking.
CoRR
Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero
2020 A conf
Towards Multi-Language Recipe Personalisation and Recommendation.
RecSys
Niall Twomey, Mikhail Fain, Andrey Ponikar, Nadine Sarraf
2020 J jnl
Towards Multi-Language Recipe Personalisation and Recommendation.
CoRR
Mikhail Fain, Andrey Ponikar, Nadine Sarraf, Niall Twomey
2019 Misc conf
Active Learning with Label Proportions.
ICASSP
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
2019 J jnl
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves.
Neurocomputing
Niall Twomey, Haoyan Chen, Tom Diethe, Peter A. Flach
2019 J jnl
HyperStream: a Workflow Engine for Streaming Data.
CoRR
Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach
2019 J jnl
Neural ODEs with stochastic vector field mixtures.
CoRR
Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez
2019 J jnl
Ordinal Regression as Structured Classification.
CoRR
Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez
2018 J jnl
A Comprehensive Study of Activity Recognition Using Accelerometers.
Informatics
Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter A. Flach, Ian Craddock
2018 B conf
Anomaly detection in star light curves using hierarchical Gaussian processes.
ESANN
Haoyan Chen, Tom Diethe, Niall Twomey, Peter A. Flach
2018 B conf
Efficient approximate representations for computationally expensive features.
ESANN
Raúl Santos-Rodríguez, Niall Twomey
2018 J jnl
Label Propagation for Learning with Label Proportions.
CoRR
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
2018 — conf
Label Propagation for Learning with Label proportions.
MLSP
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
2018 B conf
On-Board Feature Extraction from Acceleration Data for Activity Recognition.
EWSN
Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert J. Piechocki, Raúl Santos-Rodriguez, Ian Craddock
2018 B conf
Person Identification and Discovery With Wrist Worn Accelerometer Data.
ESANN
Ryan McConville, Raúl Santos-Rodríguez, Niall Twomey
2018 A* conf
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project.
KDD
Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach
2018 J jnl
Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User's Perspective.
Sensors
Emma Tonkin, Alison Burrows, Przemyslaw Woznowski, Pawel Laskowski, Kristina Y. Yordanova, Niall Twomey, Ian Craddock
2017 J jnl
Probabilistic Sensor Fusion for Ambient Assisted Living.
CoRR
Tom Diethe, Niall Twomey, Meelis Kull, Peter A. Flach, Ian Craddock
2017 — conf
Talk, text or tag?
PerCom Workshops
Przemyslaw Woznowski, Emma Tonkin, Pawel Laskowski, Niall Twomey, Kristina Y. Yordanova, Alison Burrows
2017 J jnl
Unsupervised learning of sensor topologies for improving activity recognition in smart environments.
Neurocomputing
Niall Twomey, Tom Diethe, Ian Craddock, Peter A. Flach
2016 B conf
Active transfer learning for activity recognition.
ESANN
Tom Diethe, Niall Twomey, Peter A. Flach
2016 — conf
BDL.NET: Bayesian dictionary learning in Infer.NET.
MLSP
Tom Diethe, Niall Twomey, Peter A. Flach
2016 J jnl
On the need for structure modelling in sequence prediction.
Mach. Learn.
Niall Twomey, Tom Diethe, Peter A. Flach
2016 J jnl
The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data.
CoRR
Niall Twomey, Tom Diethe, Meelis Kull, Hao Song, Massimo Camplani, Sion L. Hannuna, Xenofon Fafoutis, Ni Zhu, Pete Woznowski, Peter A. Flach, Ian Craddock
2015 — conf
An RSSI-based wall prediction model for residential floor map construction.
WF-IoT
Xenofon Fafoutis, Evangelos Mellios, Niall Twomey, Tom Diethe, Geoffrey S. Hilton, Robert J. Piechocki
2015 — conf
Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics.
ECML/PKDD (2)
Tom Diethe, Niall Twomey, Peter A. Flach
2015 J jnl
Bridging e-Health and the Internet of Things: The SPHERE Project.
IEEE Intell. Syst.
Ni Zhu, Tom Diethe, Massimo Camplani, Lili Tao, Alison Burrows, Niall Twomey, Dritan Kaleshi, Majid Mirmehdi, Peter A. Flach, Ian Craddock
2014 Misc conf
A Machine Learning Approach to Objective Cardiac Event Detection.
CISIS
Niall Twomey, Peter A. Flach
2014 J jnl
Automated Detection of Perturbed Cardiac Physiology During Oral Food Allergen Challenge in Children.
IEEE J. Biomed. Health Informatics
Niall Twomey, Andrey Temko, Jonathan O'B. Hourihane, William P. Marnane
2011 — conf
Allergy detection with statistical modelling of HRV-based non-reaction baseline features.
ISABEL
Niall Twomey, Andrey Temko, Jonathan O'B. Hourihane, William P. Marnane
2010 — conf
Comparison of accelerometer-based energy expenditure estimation algorithms.
PervasiveHealth
Niall Twomey, Stephen Faul, William P. Marnane