Search Results - "McGinnity, T. M."

Deep-FS: A feature selection algorithm for Deep Boltzmann Machines by Taherkhani, Aboozar, Cosma, Georgina, McGinnity, T. M

“…A Deep Boltzmann Machine is a model of a Deep Neural Network formed from multiple layers of neurons with nonlinear activation functions. The structure of a…”
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Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning by Shynkevich, Yauheniya, McGinnity, T.M., Coleman, Sonya A., Belatreche, Ammar

“…The market state changes when a new piece of information arrives. It affects decisions made by investors and is considered to be an important data source that…”
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Robust Microbial Markers for Non-Invasive Inflammatory Bowel Disease Identification by Wingfield, Benjamin, Coleman, Sonya, McGinnity, TM, Bjourson, AJ

“…Inflammatory Bowel Disease (IBD) is an umbrella term for a group of inflammatory diseases of the gastrointestinal tract, including Crohn's Disease and…”
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A review of learning in biologically plausible spiking neural networks by Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua, Cosma, Georgina, Maguire, Liam P., McGinnity, T.M.

“…Artificial neural networks have been used as a powerful processing tool in various areas such as pattern recognition, control, robotics, and bioinformatics…”
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A novel neighborhood based document smoothing model for information retrieval by Goyal, Pawan, Behera, Laxmidhar, McGinnity, T. M.

“…In this paper, a novel neighborhood based document smoothing model for information retrieval has been proposed. Lexical association between terms is used to…”
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In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing by Woodward, Kieran, Kanjo, Eiman, Brown, David J., McGinnity, T. M., Harold, Gordon

“…Involving and engaging people with intellectual disabilities on issues relating to their mental wellbeing is essential if relevant tools and solutions are to…”
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Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being by Woodward, Kieran, Kanjo, Eiman, Brown, David J., McGinnity, T. M., Inkster, Becky, Macintyre, Donald J., Tsanas, Athanasios

“…Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma,…”
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Material recognition using tactile sensing by Kerr, Emmett, McGinnity, TM, Coleman, Sonya

“…•A system that can recognise materials based on tactile sensing alone is presented.•Identification achieved by analysis of thermal conductivity and surface…”
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An FPGA hardware/software co-design towards evolvable spiking neural networks for robotics application by Johnston, S P, Prasad, G, Maguire, L, McGinnity, T M

“…This paper presents an approach that permits the effective hardware realization of a novel Evolvable Spiking Neural Network (ESNN) paradigm on Field…”
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Reliable robotic handovers through tactile sensing by Gómez Eguíluz, A., Rañó, I., Coleman, S. A., McGinnity, T. M.

“…Joint manipulation and object exchange are common in many everyday scenarios. Although they are trivial tasks for humans, they are still very challenging for…”
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Disentangling causal relationships of a manufacturing process using genetic algorithms and six-sigma techniques by Johnston, A. B., Maguire, L. P., Mcginnity, T. M.

“…The manufacturing of hard disk drive storage is a highly competitive industry due to ever changing technology and the introduction of solid-state storage…”
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Fault diagnosis of electronic systems using intelligent techniques: a review by Fenton, W.G., McGinnity, T.M., Maguire, L.P.

“…In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis…”
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Human vital sign determination using tactile sensing and fuzzy triage system by Kerr, Emmett, McGinnity, T.M., Coleman, Sonya, Shepherd, Andrea

“…•Development of a fuzzy classification system to ascertain an overall health status.•Determination of human BPM, RR and rhythm analysis via robotic tactile…”
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A visual attention model based on hierarchical spiking neural networks by Wu, QingXiang, McGinnity, T.M., Maguire, Liam, Cai, Rongtai, Chen, Meigui

“…Based on the information processing functionalities of spiking neurons, hierarchical spiking neural networks are proposed to simulate visual attention. Using…”
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Automatically composing and parameterizing skills by evolving Finite State Automata by Riano, Lorenzo, McGinnity, T.M.

“…We propose a robotics algorithm that is able to simultaneously combine, adapt and create actions to solve a task. The actions are combined in a Finite State…”
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Predicting a chaotic time series using a fuzzy neural network by Maguire, L.P., Roche, B., McGinnity, T.M., McDaid, L.J.

“…In this paper the authors present an alternative neurofuzzy architecture for application to chaotic time series prediction. The architecture employs an…”
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An integrated modelling framework for neural circuits with multiple neuromodulators by Joshi, Alok, Youssofzadeh, Vahab, Vemana, Vinith, McGinnity, T. M., Prasad, Girijesh, Wong-Lin, KongFatt

“…Neuromodulators are endogenous neurochemicals that regulate biophysical and biochemical processes, which control brain function and behaviour, and are often…”
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Correction to ‘An integrated modelling framework for neural circuits with multiple neuromodulators’ by Joshi, Alok, Youssofzadeh, Vahab, Vemana, Vinith, McGinnity, T. M., Prasad, Girijesh, Wong-Lin, KongFatt

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Kinematic control of a redundant manipulator using an inverse-forward adaptive scheme with a KSOM based hint generator by Kumar, Swagat, Behera, Laxmidhar, McGinnity, T.M.

“…This paper proposes an online inverse-forward adaptive scheme with a KSOM based hint generator for solving the inverse kinematic problem of a redundant…”
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Robotic Ubiquitous Cognitive Ecology for Smart Homes by Amato, G., Bacciu, D., Broxvall, M., Chessa, S., Coleman, S., Di Rocco, M., Dragone, M., Gallicchio, C., Gennaro, C., Lozano, H., McGinnity, T. M., Micheli, A., Ray, A. K., Renteria, A., Saffiotti, A., Swords, D., Vairo, C., Vance, P.

“…Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks…”
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