Search Results for author: Niall Twomey

Found 13 papers, 1 papers with code

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models

no code implementations18 Mar 2022 Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis Vaquero

At present, the educational data mining community lacks many tools needed for ensuring equitable ability estimation for Neurodivergent (ND) learners.

Evaluation of Field-Aware Neural Ranking Models for Recipe Search

no code implementations12 May 2021 Kentaro Takiguchi, Mikhail Fain, Niall Twomey, Luis M Vaquero

Although this requires the specification of bespoke task-dependent models, encouraging empirical results are beginning to emerge.

Document Embedding Retrieval

Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora

no code implementations11 May 2021 Mikhail Fain, Niall Twomey, Danushka Bollegala

Cross-lingual text representations have gained popularity lately and act as the backbone of many tasks such as unsupervised machine translation and cross-lingual information retrieval, to name a few.

Cross-Lingual Information Retrieval Retrieval +2

Hypothesis Testing for Class-Conditional Label Noise

no code implementations3 Mar 2021 Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raul Santos-Rodriguez

Differently, in this paper we assume we have access to a set of anchor points whose true posterior is approximately 1/2.

Non-Linear Multiple Field Interactions Neural Document Ranking

no code implementations18 Nov 2020 Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero

Ranking tasks are usually based on the text of the main body of the page and the actions (clicks) of users on the page.

Document Ranking

Towards Multi-Language Recipe Personalisation and Recommendation

no code implementations27 Jul 2020 Niall Twomey, Mikhail Fain, Andrey Ponikar, Nadine Sarraf

Our results are presented in a language-oriented (as opposed to model-oriented) fashion to emphasise the language-based goals of this work.

Information Retrieval Retrieval

Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA

no code implementations28 Nov 2019 Mikhail Fain, Niall Twomey, Andrey Ponikar, Ryan Fox, Danushka Bollegala

We also use our method for comparing image and text encoders trained using different modern approaches, thus addressing the issues hindering the development of novel methods for cross-modal recipe retrieval.

Cross-Modal Retrieval Retrieval

HyperStream: a Workflow Engine for Streaming Data

1 code implementation7 Aug 2019 Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perello-Nieto, Emma Tonkin, Peter Flach

This paper describes HyperStream, a large-scale, flexible and robust software package, written in the Python language, for processing streaming data with workflow creation capabilities.

BIG-bench Machine Learning

Ordinal Regression as Structured Classification

no code implementations31 May 2019 Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez

This paper extends the class of ordinal regression models with a structured interpretation of the problem by applying a novel treatment of encoded labels.

Classification General Classification +1

Neural ODEs with stochastic vector field mixtures

no code implementations23 May 2019 Niall Twomey, Michał Kozłowski, Raúl Santos-Rodríguez

It was recently shown that neural ordinary differential equation models cannot solve fundamental and seemingly straightforward tasks even with high-capacity vector field representations.

Label Propagation for Learning with Label Proportions

no code implementations24 Oct 2018 Rafael Poyiadzi, Raul Santos-Rodriguez, Niall Twomey

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.

Probabilistic Sensor Fusion for Ambient Assisted Living

no code implementations4 Feb 2017 Tom Diethe, Niall Twomey, Meelis Kull, Peter Flach, Ian Craddock

There is a widely-accepted need to revise current forms of health-care provision, with particular interest in sensing systems in the home.

Activity Recognition

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