Niall Twomey

Orcid: 0000-0002-3225-2654

Affiliations:
  • University of Bristol, UK
  • University College Cork, Ireland


According to our database1, Niall Twomey authored at least 41 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Low-Count Time Series Anomaly Detection.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022
Hypothesis Testing for Class-Conditional Label Noise.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations.
Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022

2021
Towards Continuous Compounding Effects and Agile Practices in Educational Experimentation.
CoRR, 2021

Multi-Field Models in Neural Recipe Ranking - An Early Exploratory Study.
CoRR, 2021

Statistical Hypothesis Testing for Class-Conditional Label Noise.
CoRR, 2021

Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Energy-efficient activity recognition framework using wearable accelerometers.
J. Netw. Comput. Appl., 2020

Non-Linear Multiple Field Interactions Neural Document Ranking.
CoRR, 2020

Towards Multi-Language Recipe Personalisation and Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Neural ODEs with Stochastic Vector Field Mixtures.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
Proceedings of the First International AAI4H, 2020

2019
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves.
Neurocomputing, 2019

HyperStream: a Workflow Engine for Streaming Data.
CoRR, 2019

Ordinal Regression as Structured Classification.
CoRR, 2019

Active Learning with Label Proportions.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User's Perspective.
Sensors, 2018

A Comprehensive Study of Activity Recognition Using Accelerometers.
Informatics, 2018

Label Propagation for Learning with Label proportions.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

On-Board Feature Extraction from Acceleration Data for Activity Recognition.
Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018

Efficient approximate representations for computationally expensive features.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Person Identification and Discovery With Wrist Worn Accelerometer Data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Anomaly detection in star light curves using hierarchical Gaussian processes.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Unsupervised learning of sensor topologies for improving activity recognition in smart environments.
Neurocomputing, 2017

Probabilistic Sensor Fusion for Ambient Assisted Living.
CoRR, 2017

Talk, text or tag?
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

2016
On the need for structure modelling in sequence prediction.
Mach. Learn., 2016

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data.
CoRR, 2016

BDL.NET: Bayesian dictionary learning in Infer.NET.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Active transfer learning for activity recognition.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Bridging e-Health and the Internet of Things: The SPHERE Project.
IEEE Intell. Syst., 2015

An RSSI-based wall prediction model for residential floor map construction.
Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
Automated Detection of Perturbed Cardiac Physiology During Oral Food Allergen Challenge in Children.
IEEE J. Biomed. Health Informatics, 2014

A Machine Learning Approach to Objective Cardiac Event Detection.
Proceedings of the Eighth International Conference on Complex, 2014

2011
Allergy detection with statistical modelling of HRV-based non-reaction baseline features.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010
Comparison of accelerometer-based energy expenditure estimation algorithms.
Proceedings of the 4th International Conference on Pervasive Computing Technologies for Healthcare, 2010


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