Search Results - "Twomey, Niall"

Bridging e-Health and the Internet of Things: The SPHERE Project by Ni Zhu, Diethe, Tom, Camplani, Massimo, Lili Tao, Burrows, Alison, Twomey, Niall, Kaleshi, Dritan, Mirmehdi, Majid, Flach, Peter, Craddock, Ian

“…There's a widely known need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to…”
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Unsupervised learning of sensor topologies for improving activity recognition in smart environments by Twomey, Niall, Diethe, Tom, Craddock, Ian, Flach, Peter

“…There has been significant recent interest in sensing systems and ‘smart environments’, with a number of longitudinal studies in this area. Typically the goal…”
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A Comprehensive Study of Activity Recognition Using Accelerometers by Twomey, Niall, Diethe, Tom, Fafoutis, Xenofon, Elsts, Atis, McConville, Ryan, Flach, Peter, Craddock, Ian

“…This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly…”
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A longitudinal observational study of home-based conversations for detecting early dementia: protocol for the CUBOId TV task by Kumpik, Daniel Paul, Santos-Rodriguez, Raul, Selwood, James, Coulthard, Elizabeth, Twomey, Niall, Craddock, Ian, Ben-Shlomo, Yoav

“…IntroductionLimitations in effective dementia therapies mean that early diagnosis and monitoring are critical for disease management, but current clinical…”
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Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User's Perspective by Tonkin, Emma L, Burrows, Alison, Woznowski, Przemysław R, Laskowski, Pawel, Yordanova, Kristina Y, Twomey, Niall, Craddock, Ian J

“…Delivering effortless interactions and appropriate interventions through pervasive systems requires making sense of multiple streams of sensor data. This is…”
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A multi-sensor dataset with annotated activities of daily living recorded in a residential setting by Tonkin, Emma L., Holmes, Michael, Song, Hao, Twomey, Niall, Diethe, Tom, Kull, Meelis, Perello Nieto, Miquel, Camplani, Massimo, Hannuna, Sion, Fafoutis, Xenofon, Zhu, Ni, Woznowski, Przemysław R., Tourte, Gregory J. L., Santos-Rodríguez, Raúl, Flach, Peter A., Craddock, Ian

“…SPHERE is a large multidisciplinary project to research and develop a sensor network to facilitate home healthcare by activity monitoring, specifically towards…”
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Energy-efficient activity recognition framework using wearable accelerometers by Elsts, Atis, Twomey, Niall, McConville, Ryan, Craddock, Ian

“…Acceleration data for activity recognition typically are collected on battery-powered devices, leading to a trade-off between high-accuracy recognition and…”
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An application of hierarchical Gaussian processes to the detection of anomalies in star light curves by Twomey, Niall, Chen, Haoyan, Diethe, Tom, Flach, Peter

“…This study is concerned with astronomical time-series called light-curves that represent the brightness of celestial objects over a period of time. We consider…”
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On the need for structure modelling in sequence prediction by Twomey, Niall, Diethe, Tom, Flach, Peter

“…There is no uniform approach in the literature for modelling sequential correlations in sequence classification problems. It is easy to find examples of…”
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Active Learning with Label Proportions by Poyiadzis, Rafael, Santos-Rodriguez, Raul, Twomey, Niall

“…Active Learning (AL) refers to the setting where the learner has the ability to perform queries to an oracle to acquire the true label of an instance or,…”
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Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood by Yang, Weisong, Poyiadzi, Rafael, Twomey, Niall, Rodriguez, Raul Santos

“…In supervised learning, automatically assessing the quality of the labels before any learning takes place remains an open research question. In certain…”
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Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora by Fain, Mikhail, Twomey, Niall, Bollegala, Danushka

“…Cross-lingual text representations have gained popularity lately and act as the backbone of many tasks such as unsupervised machine translation and…”
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Non-Linear Multiple Field Interactions Neural Document Ranking by Takiguchi, Kentaro, Twomey, Niall, Vaquero, Luis M

“…Ranking tasks are usually based on the text of the main body of the page and the actions (clicks) of users on the page. There are other elements that could be…”
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LABEL PROPAGATION FOR LEARNING WITH LABEL PROPORTIONS by Poyiadzi, Rafael, Santos-Rodriguez, Raul, Twomey, Niall

“…Learning with Label Proportions (LLP) is the problem of recovering the underlying true labels given a dataset when the data is presented in the form of bags…”
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Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models by Twomey, Niall, McMullan, Sarah, Elhalal, Anat, Poyiadzi, Rafael, Vaquero, Luis

“…At present, the educational data mining community lacks many tools needed for ensuring equitable ability estimation for Neurodivergent (ND) learners. On one…”
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Inherently Interpretable Time Series Classification via Multiple Instance Learning by Early, Joseph, Cheung, Gavin KC, Cutajar, Kurt, Xie, Hanting, Kandola, Jas, Twomey, Niall

“…Conventional Time Series Classification (TSC) methods are often black boxes that obscure inherent interpretation of their decision-making processes. In this…”
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Low-count Time Series Anomaly Detection by Renz, Philipp, Cutajar, Kurt, Twomey, Niall, Cheung, Gavin K. C, Xie, Hanting

“…2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) Low-count time series describe sparse or intermittent events, which are…”
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Digital signal processing and artificial intelligence for the automated classification of food allergy by Twomey, Niall Joseph

“…As a by-product of the ‘information revolution’ which is currently unfolding, lifetimes of man (and indeed computer) hours are being allocated for the…”
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Evaluation of Field-Aware Neural Ranking Models for Recipe Search by Takiguchi, Kentaro, Fain, Mikhail, Twomey, Niall, Vaquero, Luis M

“…Explicitly modelling field interactions and correlations in complex document structures has recently gained popularity in neural document embedding and…”
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Hypothesis Testing for Class-Conditional Label Noise by Poyiadzi, Rafael, Yang, Weisong, Twomey, Niall, Santos-Rodriguez, Raul

“…In this paper we provide machine learning practitioners with tools to answer the question: is there class-conditional noise in my labels? In particular, we…”
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