Browsing by Subject "Machine Learning"
Now showing items 1-20 of 34
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Automatic Identification of Experts and Performance Prediction in the Multimodal Math Data Corpus through Analysis of Speech Interaction
(ACM Press, 2013)An analysis of multiparty interaction in the problem solving sessions of the Multimodal Math Data Corpus is presented. The analysis focuses on non-verbal cues extracted from the audio tracks. Algorithms for expert ... -
Denoising approaches for data preparation in machine learning
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Machine-learning models have been recently developed in various computer vision applications, such as image detention, segmentation and so on. Models are often trained based on data that present various levels of accuracy, ... -
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
(2023)Vehicles today comprise intelligent systems like connected autonomous driving and advanced driving assistance systems (ADAS) to enhance the driving experience, which is enabled through increased connectivity to ... -
Extracting new urban patterns in cities: Analysis, models and applications
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)Smart city initiatives rely on real-time measurements and data collected by a large num- ber of heterogenous physical sensors deployed throughout a city. The data gathered by physical sensors can capably identify important ... -
Few-Shot Learning and Learnable Frontends for Remote Monitoring of Bird Populations
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2024)In response to changing ecological and environmental factors, automated monitoring of bird populations has become imperative for conservation efforts and as an indicator of change in its own right. This is particularly ... -
From the reconceptualisation of the safety event to an innovative systemic risk management approach
(Trinity College Dublin. School of Psychology. Discipline of Psychology, 2024)Safety events occur spontaneously or unexpectedly without prior planning. The objective of this research was to demonstrate that safety events are conceptualised as dynamic combinations of co-occurring factors, both related ... -
Functional network mapping reveals state-dependent response to IGF-1 treatment in Rett Syndrome
(2020)Rett Syndrome (RTT) is a neurodevelopmental disorder associated with mutations in thegeneMeCP2, which is involved in the development and function of cortical networks. The clinical presentation of RTT is generally severe ... -
Is all that glitters in MT quality estimation really gold standard?
(2016)Human-targeted metrics provide a compromise between human evaluation of machine translation, where high inter-annotator agreement is difficult to achieve, and fully automatic metrics, such as BLEU or TER, that lack the ...