Liam P. Maguire

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip

Jim Harkin, Lei Wan, Junxiu Liu, 2015, ICA3PP.

Client-Server Architecture for Collaborative Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, Third International Conference on Information Technology and Applications (ICITA'05).

Detection of Straight Lines Using a Spiking Neural Network Model

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, 2009 Fifth International Conference on Natural Computation.

Accelerating embedded applications using dynamically reconfigurable hardware and evolutionary algorithms

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2000, Proceedings 2000 IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00871).

Issues in the development of an integrated environment for embedded system design: Part B: design and implementation

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Microprocess. Microsystems.

Online traffic-aware fault detection for networks-on-chip

Jim Harkin, Junxiu Liu, Yuhua Li, 2014, J. Parallel Distributed Comput..

Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Predicting a Chaotic Time Series using Fuzzy Neural network

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1998, Inf. Sci..

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2012, J. Univers. Comput. Sci..

SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture

Jim Harkin, Junxiu Liu, Liam P. Maguire, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2010, Int. J. Neural Syst..

Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead

Jim Harkin, Junxiu Liu, Yuhua Li, 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Hybrid Intelligent Architectures using a Neurofuzzy Approach

T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, 2002, Advances in Computational Intelligence and Learning.

Emulating Spiking Neural Networks for edge detection on FPGA hardware

Qingxiang Wu, T. Martin McGinnity, Jim Harkin, 2009, 2009 International Conference on Field Programmable Logic and Applications.

State assignment techniques in multiple-valued logic

Liam P. Maguire, J. G. Campbell, K. J. Adams, 1999, Proceedings 1999 29th IEEE International Symposium on Multiple-Valued Logic (Cat. No.99CB36329).

Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC

Jim Harkin, Junxiu Liu, Yuhua Li, 2014, 2014 IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs.

A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion

Girijesh Prasad, Liam P. Maguire, Sina Rezvani, 2004, Eng. Appl. Artif. Intell..

Modeling architectures for VLSI Implementations of Fuzzy Logic Systems

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Inf. Sci..

Novelty Detection Using Level Set Methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Binary Multiplier Using RTD Based Threshold Logic Gates

T. Martin McGinnity, Liam P. Maguire, Peter M. Kelly, 2003, IWANN.

A collaborative environment for remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, Proceedings 2003 IEEE International Conference on Microelectronic Systems Education. MSE'03.

Genetic algorithm driven hardware-software partitioning for dynamically reconfigurable embedded systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2001, Microprocess. Microsystems.

Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition

Cornelius Glackin, Liam McDaid, Liam P. Maguire, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A CASE-tool oriented approach for embedded systems design

T. Martin McGinnity, Liam P. Maguire, 2001, Microprocess. Microsystems.

Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2005, ICNC.

A visual attention model based on hierarchical spiking neural networks

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2013, Neurocomputing.

Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic

David A. Bell, Liam P. Maguire, K. J. Adams, 2004, Artificial Intelligence Review.

A symbiosis algorithm for robotic control

T. Martin McGinnity, Nazmul H. Siddique, Liam P. Maguire, 2005, 2005 IEEE Congress on Evolutionary Computation.

Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

Self-repairing hardware with astrocyte-neuron networks

Liam McDaid, Malachy McElholm, Jim Harkin, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Learning Mechanisms in Networks of Spiking Neurons

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2007, Trends in Neural Computation.

Processing visual stimuli using hierarchical spiking neural networks

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2008, Neurocomputing.

Design philosophy for self-repair of electronic systems using the UML

T. Martin McGinnity, Liam P. Maguire, Eamomn A. Coyle, 2002, IEE Proc. Softw..

The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAs

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1998, Inf. Sci..

SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Client-Server Architecture for Collaborative Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, ICITA.

Learning under weight constraints in networks of temporal encoding spiking neurons

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2006, Neurocomputing.

Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models

Damien Coyle, Liam P. Maguire, Kamal Abuhassan, 2012, IEEE Transactions on Biomedical Engineering.

Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome

Damien Coyle, Liam P. Maguire, J. A. Scott Kelso, 2018, NeuroImage.

An online supervised learning method for spiking neural networks with adaptive structure

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2014, Neurocomputing.

Evaluation of Sampling Methods for Learning from Imbalanced Data

Yuhua Li, Liam P. Maguire, Seán F. McLoone, 2013, ICIC.

Novelty Detection Using Level Set Methods with Adaptive Boundaries

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease

Damien Coyle, Liam P. Maguire, Kamal Abuhassan, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2001, FPL.

A least angle regression method for fMRI activation detection in phase-encoded experimental designs

T. Martin McGinnity, Damien Coyle, Habib Benali, 2010, NeuroImage.

Intelligent User-Support in Learning Environments for Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, Third International Conference on Information Technology and Applications (ICITA'05).

Receptive field optimisation and supervision of a fuzzy spiking neural network

Cornelius Glackin, Liam McDaid, Liam P. Maguire, 2011, Neural Networks.

SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2015, ICONIP.

An experimental evaluation of novelty detection methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, Neurocomputing.

An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application

T. Martin McGinnity, Girijesh Prasad, Liam P. Maguire, 2010, Int. J. Neural Syst..

Low cost fault-tolerant routing algorithm for Networks-on-Chip

Jim Harkin, Junxiu Liu, Yuhua Li, 2015, Microprocess. Microsystems.

Constructing minimum volume surfaces using level set methods for novelty detection

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation

Ammar Belatreche, T. Martin McGinnity, Liam McDaid, 2010, Adv. Artif. Intell..

Development of Cognitive Capabilities for Smart Home Using a Self-Organizing Fuzzy Neural Network

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2012, SyRoCo.

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2008, Neural Networks.

Application of biologically inspired neural oscillators to colour image segmentation

Ammar Belatreche, T. Martin McGinnity, Liam McDaid, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Spiking Neural Network Performs Discrete Cosine Transform for Visual Images

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, ICIC.

Signalling techniques and their effect on neural network implementation sizes

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2001, Inf. Sci..

Client-Server Architecture for Remote Experimentation for Embedded Systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2006, Int. J. Online Eng..

A new biologically plausible supervised learning method for spiking neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, ESANN.

Modeling and optimizing run-time reconfiguration using evolutionary computation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, TECS.

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2005, IWANN.

Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2006, 2006 International Conference on Field Programmable Logic and Applications.

Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model

Damien Coyle, Liam P. Maguire, Jill Stewart, 2012, ICANN.

Self-repair of embedded systems

T. Martin McGinnity, Liam P. Maguire, Eamomn A. Coyle, 2004, Eng. Appl. Artif. Intell..

Synchrony: A spiking-based mechanism for processing sensory stimuli

Cornelius Glackin, Liam McDaid, Liam P. Maguire, 2012, Neural Networks.

Hardware/Software Co-Design for Spike Based Recognition pdf

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, ArXiv.

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, ICONIP.

Intelligent User Support in Autonomous Remote Experimentation Environments

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, IEEE Transactions on Industrial Electronics.

Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control

Yuhua Li, Liam P. Maguire, Michael McCann, 2008, NIPS Causality: Objectives and Assessment.

Distributed Architecture for Adaptive Intelligent Environments

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Re-Programmable MVL Circuits and Architecture to Enable Evolvable MVL Hardware

T. Martin McGinnity, Liam P. Maguire, Peter M. Kelly, 2003, J. Multiple Valued Log. Soft Comput..

Adaptive intelligent environment for remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics

KongFatt Wong-Lin, Damien Coyle, Liam P. Maguire, 2011, Journal of Computational Neuroscience.

Compensating for thalamocortical synaptic loss in Alzheimer's disease

Damien Coyle, Liam P. Maguire, Kamal Abuhassan, 2014, Front. Comput. Neurosci..

Does Soft Computing Classify Research in Spiking Neural Networks?

Liam P. Maguire, L. Maguire, 2010, Int. J. Comput. Intell. Syst..

Challenges for large-scale implementations of spiking neural networks on FPGAs

Ammar Belatreche, T. Martin McGinnity, Jim Harkin, 2007, Neurocomputing.

A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2010, Frontiers in computational neuroscience.

Intrinsic and extrinsic implementation of a bio-inspired hardware system

T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, 2004, Inf. Sci..

A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach

Liam P. Maguire, Paul K. Humphreys, Ronan T. McIvor, 2006, Decis. Support Syst..

A practical computerized decision support system for predicting the severity of Alzheimer’s disease of an individual

Stephen Todd, KongFatt Wong-Lin, Girijesh Prasad, 2019, bioRxiv.

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2010, ICIC.

On-chip and Off-chip Real-Time Debugging for Remotely-Accessed Embedded Programmable Systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, FPL.

Edge Detection Based on Spiking Neural Network Model

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2009, ICIC.

Using a fuzzy approach to support financial analysis in the corporate acquisition process

Liam P. Maguire, Paul K. Humphreys, Ronan T. McIvor, 2004, Expert Syst. Appl..

Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

Modular hardware design for distant‐internet embedded systems engineering laboratory

T. Martin McGinnity, Emmanuel M. Drakakis, Jim Harkin, 2009, Comput. Appl. Eng. Educ..

Integrated architecture for remote experimentation

T. Martin McGinnity, Girijesh Prasad, Jim Harkin, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Selecting Critical Patterns Based on Local Geometrical and Statistical Information

Yuhua Li, Liam P. Maguire, L. Maguire, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis

T. Martin McGinnity, Damien Coyle, Liam P. Maguire, 2012, Neuroinformatics.

Book reviews

Anita Greenhill, Liam P. Maguire, Maeve Paris, 2007, Artificial Intelligence Review.

Reducing the negative effects of sales promotions in supply chains using genetic algorithms

Liam P. Maguire, Paul K. Humphreys, Ronan T. McIvor, 2009, Expert Syst. Appl..

Motion Detection Using Spiking Neural Network Model

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2008, ICIC.

Cost effectiveness issues in remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Introduction

Nazmul H. Siddique, Liam P. Maguire, Bernard Widrow, 2014, Int. J. Neural Syst..

A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics

Julie A. Wall, T. Martin McGinnity, Liam P. Maguire, 2011, The 2011 International Joint Conference on Neural Networks.

A locally adaptive boundary evolution algorithm for novelty detection using level set methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2011, Neural Networks.

Compensating for synaptic loss in Alzheimer’s disease

Ammar Belatreche, Damien Coyle, Liam P. Maguire, 2013, Journal of Computational Neuroscience.

Fault diagnosis of electronic systems using intelligent techniques: a review

T. Martin McGinnity, Liam P. Maguire, W. G. Fenton, 2001, IEEE Trans. Syst. Man Cybern. Part C.

A novel intelligent approach to anchorage measurement using electron microscopy

Girijesh Prasad, Nazmul H. Siddique, Liam P. Maguire, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Simulation of Visual Attention Using Hierarchical Spiking Neural Networks

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2011, ICIC.

Advances in Design and Application of Spiking Neural Networks

Ammar Belatreche, T. Martin McGinnity, Liam P. Maguire, 2006, Soft Comput..

Development of a hybrid PCA-ANFIS measurement system for monitoring product quality in the coating industry

Girijesh Prasad, Nazmul H. Siddique, Liam P. Maguire, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Dynamically Reconfigurable Online Self-organising Fuzzy Neural Network with Variable Number of Inputs for Smart Home Application

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2013, IJCCI.

Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1997, Inf. Sci..

Issues in the development of an integrated environment for embedded system design: Part A: user needs and commercial products

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Microprocess. Microsystems.

Memories in University of Ulster

Juan Carlos Augusto, Jun Liu, Liam P. Maguire, 2013, A Tribute to Prof. Dr. Da Ruan.

Robotic UBIquitous COgnitive Network

Alessio Micheli, T. Martin McGinnity, Claudio Gennaro, 2012, ISAmI.

Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2011, 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis

T. Martin McGinnity, Damien Coyle, Habib Benali, 2011, IEEE Transactions on Medical Imaging.

From a fuzzy flip-flop to a MVL flip-flop

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Proceedings 1999 29th IEEE International Symposium on Multiple-Valued Logic (Cat. No.99CB36329).

Reducing interconnection resource overhead in nano-scale FPGAs through MVL signal systems

T. Martin McGinnity, Liam P. Maguire, Peter M. Kelly, 2005, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05).

Implementing Fuzzy Reasoning on a Spiking Neural Network

Cornelius Glackin, Liam McDaid, Liam P. Maguire, 2008, ICANN.

Intelligent Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Dynamically Evolving Spiking Neural network for pattern recognition

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Neuro-inspired Speech Recognition with Recurrent Spiking Neurons

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, ICANN.

A comparison of fuzzy strategies for corporate acquisition analysis

Cornelius Glackin, Pawel Andrzej Herman, Liam P. Maguire, 2007, Fuzzy Sets Syst..

Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty

Liam P. Maguire, Paul K. Humphreys, Ehsan Badakhshan, 2018, 2018 International Conference on Intelligent Systems (IS).