Advancing ambient assisted living with caution

Book chapter

Huyck, C., Augusto, J., Gao, X. and Botia, J. 2015. Advancing ambient assisted living with caution. in: Helfert, M., Holzinger, A., Ziefle, M., Fred, A., O'Donoghue, J. and Röcker, C. (ed.) Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers Springer.
Chapter titleAdvancing ambient assisted living with caution
AuthorsHuyck, C., Augusto, J., Gao, X. and Botia, J.
Abstract

As technology advances, systems involving artificial components provide more and more support for people. The potential consequences of this phenomena are examined in the specific circumstances of `ambient assisted living' as an instantiation of the concept of `intelligent environment'. This chapter describes the idea of `ambient assisted living' and looks at some of the possible ways humans may be affected by the prevalence of technology. The general example of assisted healthcare, and the specific example of medication support are used to show that systems are advancing. Moreover, these
advancements can lead to problems with both the artificial systems, and the larger systems with which they are involved. In many cases there is a trade-off around having people in the loop, but inevitably they will need to be included for many decision making processes. The chapter concludes with reflections on how these considerations can help us to retain the positive aspects whilst avoiding the negative side effects of the hypothetical technological singularity.

Research GroupArtificial Intelligence group
Research Group on Development of Intelligent Environments
Book titleInformation and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers
EditorsHelfert, M., Holzinger, A., Ziefle, M., Fred, A., O'Donoghue, J. and Röcker, C.
PublisherSpringer
SeriesCommunications in Computer and Information Science
ISBN
Hardcover9783319276946
Publication dates
Online27 Dec 2015
Publication process dates
Deposited10 Nov 2015
Accepted06 Nov 2015
Output statusPublished
Accepted author manuscript
Copyright Statement

This is a post-peer-review, pre-copyedit version of an paper published in Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-27695-3_2

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-27695-3_2
LanguageEnglish
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Gao, X. and Qian, Y. 2019. Patch-based deep learning approaches for artefact detection of endoscopic images. Endoscopic artefact detection challenge 2019 (EAD2019). Venice, Italy 08 Apr 2019 CEUR Workshop Proceedings.
Context-aware systems testing and validation
Augusto, J., Quinde, M. and Oguego, C. 2019. Context-aware systems testing and validation. 10th International Conference Dependable Systems, Services and Technologies. Leeds, United Kingdom 05 - 07 Jun 2019 IEEE. pp. 7-12 https://doi.org/10.1109/DESSERT.2019.8770048
Using formal methods to guide the development of an asthma management system
Augusto, J., Quinde, M. and Khan, N. 2019. Using formal methods to guide the development of an asthma management system. 10th International Conference Dependable Systems, Services and Technologies. Leeds, United Kingdom 05 - 07 Jun 2019 IEEE. pp. 57-62 https://doi.org/10.1109/DESSERT.2019.8770017
The SEArch smart environments architecture
Augusto, J., Quinde, M., Gimenez Manuel, J., Ali, M., Oguego, C. and James-Reynolds, C. 2019. The SEArch smart environments architecture. 15th International Conference on Intelligent Environments. Rabat, Morocco 24 - 27 Jun 2019 Institute of Electrical and Electronics Engineers (IEEE). pp. 60-63 https://doi.org/10.1109/IE.2019.00010
Evaluation of crowdsourcing Wi-Fi radio map creation in a real scenario for AAL applications
Belmonte-Fernandez, O., Gasco-Compte, A., Sansano-Sansano, E., Quinde, M., Gimenez Manuel, J. and Augusto, J. 2019. Evaluation of crowdsourcing Wi-Fi radio map creation in a real scenario for AAL applications. 15th International Conference on Intelligent Environments. Rabat, Morocco 24 - 27 Jun 2019 Institute of Electrical and Electronics Engineers (IEEE). pp. 30-36 https://doi.org/10.1109/IE.2019.00005
An interface for managing users' preferences in AmI
Oguego, C., Augusto, J., Springett, M., Quinde, M. and James-Reynolds, C. 2019. An interface for managing users' preferences in AmI. 15th International Conference on Intelligent Environments. Rabat, Morocco 24 - 27 Jun 2019 Institute of Electrical and Electronics Engineers (IEEE). pp. 56-59 https://doi.org/10.1109/IE.2019.00009
Context in Mobile learning: the point of view of the learners
Chouchane, K., Ali, A., Augusto, J. and Okba, K. 2019. Context in Mobile learning: the point of view of the learners. Symposium on Future Intelligent Educational Environments (SOFIEE'19). Rabat, Morocco IOS Press. pp. 280-289 https://doi.org/10.3233/AISE190053
Preface to the 10th anniversary issue of the Journal on Ambient Intelligence and Smart Environments
Augusto, J. and Aghajan, H. 2019. Preface to the 10th anniversary issue of the Journal on Ambient Intelligence and Smart Environments. Journal of Ambient Intelligence and Smart Environments. 11 (1), pp. 1-3. https://doi.org/10.3233/AIS-180511
Improving the adaptation process for a new smart home user
Ali, S., Augusto, J. and Windridge, D. 2019. Improving the adaptation process for a new smart home user. Bramer, M. and Petridis, M. (ed.) 39th SGAI International Conference on Artificial Intelligence. Cambridge, UK 17 - 19 Dec 2019 Springer. https://doi.org/10.1007/978-3-030-34885-4_32
Towards real-time detection of squamous pre-cancers from oesophageal endoscopic videos
Gao, X., Braden, B., Taylor, S. and Pang, W. 2019. Towards real-time detection of squamous pre-cancers from oesophageal endoscopic videos. ICMLA 2019. Boca Raton, Florida, USA 16 - 19 Dec 2019 IEEE. pp. 1606-1612 https://doi.org/10.1109/ICMLA.2019.00264
User preferences in intelligent environments
Augusto, J. and Muñoz, A. 2019. User preferences in intelligent environments. Applied Artificial Intelligence. 33 (12), pp. 1069-1091. https://doi.org/10.1080/08839514.2019.1661596
Collaborative educational environments incorporating mixed reality technologies: a systematic mapping study
Ali, A., Dafoulas, G. and Augusto, J. 2019. Collaborative educational environments incorporating mixed reality technologies: a systematic mapping study. IEEE Transactions on Learning Technologies. 12 (3), pp. 321-332. https://doi.org/10.1109/TLT.2019.2926727
Case-based reasoning for context-aware solutions supporting personalised asthma management
Quinde, M., Khan, N. and Augusto, J. 2019. Case-based reasoning for context-aware solutions supporting personalised asthma management. 18th International Conference on Artificial Intelligence and Soft Computing. Zakopane, Poland 16 - 20 Jun 2019 Cham Springer. https://doi.org/10.1007/978-3-030-20915-5_24
A Human-in-The-Loop context-aware system allowing the application of case-based reasoning for asthma management
Quinde, M., Khan, N., Augusto, J. and Van Wyk, A. 2019. A Human-in-The-Loop context-aware system allowing the application of case-based reasoning for asthma management. Duffy, V. (ed.) 21st International Conference on Human-Computer Interaction (HCI International 2019). Orlando, USA 26 - 31 Jul 2019 Springer. pp. 125-140 https://doi.org/10.1007/978-3-030-22219-2_10
Towards a general framework for evaluating intelligent environments methodologies
Santokhee, A., Augusto, J. and Brodie, L. 2019. Towards a general framework for evaluating intelligent environments methodologies. 3rd International Worrkshop on Citizen-Centric Smart Cities Services (CCSCS'2019). Rabat, Morocco 24 - 27 Jun 2019 IOS Press. pp. 17-25 https://doi.org/10.3233/AISE190018
A survey of user-centred approaches for smart home transfer learning and new user home automation adaptation
Ali, M., Augusto, J. and Windridge, D. 2019. A survey of user-centred approaches for smart home transfer learning and new user home automation adaptation. Applied Artificial Intelligence. 33 (8), pp. 747-774. https://doi.org/10.1080/08839514.2019.1603784
Context aware virtual assistant with case-based conflict resolution in multi-user smart home environment
Ospan, B., Khan, N., Augusto, J., Quinde, M. and Nurgaliyev, K. 2018. Context aware virtual assistant with case-based conflict resolution in multi-user smart home environment. 2018 International Conference on Computing and Network Communications (CoCoNet). Astana, Kazakhstan 15 - 17 Aug 2018 IEEE Computer Society. pp. 36-44 https://doi.org/10.1109/CoCoNet.2018.8476898
RC-ASEF: An open-source tool-supported requirements elicitation framework for context-aware systems development
Alegre, U., Augusto, J. and Evans, C. 2018. RC-ASEF: An open-source tool-supported requirements elicitation framework for context-aware systems development. Annals of Computer Science and Information Systems. 15, pp. 829-838. https://doi.org/10.15439/2018F136
A brain-inspired cognitive system that mimics the dynamics of human thought
Ji, Y., Gamez, D. and Huyck, C. 2018. A brain-inspired cognitive system that mimics the dynamics of human thought. AI-2018 Thirty-eighth SGAI International Conference on Artificial Intelligence. Cambridge, UK 11 - 13 Dec 2018 Springer. pp. 50-62 https://doi.org/10.1007/978-3-030-04191-5_4
Two simple NeuroCognitive associative memory models
Huyck, C. and Ji, Y. 2018. Two simple NeuroCognitive associative memory models. International Conference on Cognitive Modeling 2018. Madison Wisconsin 20 - 24 Jul 2018 pp. 31-36
Implementing Rules with Aritificial Neurons
Huyck, C. and Kreivena, D. 2018. Implementing Rules with Aritificial Neurons. AI-2018 38th SGAI International Conference on Artificial Intelligence. Cambridge 11 - 13 Dec 2018 Springer. pp. 21-33 https://doi.org/10.1007/978-3-030-04191-5_2
Collecting sensor-generated data for assessing teamwork and individual contributions in computing student teams
Dafoulas, G., Cardoso Maia, C., Ali, A. and Augusto, J. 2018. Collecting sensor-generated data for assessing teamwork and individual contributions in computing student teams. EDULEARN18: 10th annual International Conference on Education and New Learning Technologies. Palma de Mallorca, Spain 02 - 04 Jul 2018 IATED. pp. 11156-11162 https://doi.org/10.21125/edulearn.2018.2759
Personalisation of context-aware solutions supporting asthma management
Quinde, M., Khan, N. and Augusto, J. 2018. Personalisation of context-aware solutions supporting asthma management. 16th International Conference on Computers Helping People with Special Needs. University of Linz, Austria 11 - 13 Jul 2018 Springer. pp. 510-519 https://doi.org/10.1007/978-3-319-94274-2_75
A spiking half-cognitive model for classification
Huyck, C. and Kulkarni, R. 2018. A spiking half-cognitive model for classification. Connection Science. 30 (3), pp. 285-305. https://doi.org/10.1080/09540091.2018.1443317
A survey on the evolution of the notion of context-awareness
Augusto, J., Aztiria, A., Kramer, D. and Alegre, U. 2017. A survey on the evolution of the notion of context-awareness. Applied Artificial Intelligence. 31 (7-8), pp. 613-642. https://doi.org/10.1080/08839514.2018.1428490
Interaction patterns for smart spaces: a confident interaction design solution for pervasive sensitive IoT services
Vega-Barbas, M., Pau, I., Augusto, J. and Seoane, F. 2018. Interaction patterns for smart spaces: a confident interaction design solution for pervasive sensitive IoT services. IEEE Access. 6, pp. 1126-1136. https://doi.org/10.1109/ACCESS.2017.2777999
CABots and other neural agents
Huyck, C. and Mitchell, I. 2018. CABots and other neural agents. Frontiers in Neurorobotics. 12, pp. 1-12. https://doi.org/10.3389/fnbot.2018.00079
Analysing TB severity levels with an enhanced deep residual learning– depth-resnet
Gao, X., James-Reynolds, C. and Currie, E. 2018. Analysing TB severity levels with an enhanced deep residual learning– depth-resnet. Cappellato, L., Ferro, N., Nie, J-Y. and Soulier, L. (ed.) CLEF 2018 Conference and Labs of the Evaluation Forum - ImageCLEF-Multimedia Retrieval in CLEF. Avignon, France 10 - 14 Sep 2018 CEUR-WS.
Sensorial computing
Varsani, P., Moseley, R., Jones, S., James-Reynolds, C., Chinellato, E. and Augusto, J. 2018. Sensorial computing. in: Filimowicz, M. and Tzankova, V. (ed.) New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies Cham, Switzerland Springer. pp. 265-284
Investigating the role of biometrics in education – the use of sensor data in collaborative learning
Dafoulas, G., Cardoso Maia, C., Samuels-Clarke, J., Ali, A. and Augusto, J. 2018. Investigating the role of biometrics in education – the use of sensor data in collaborative learning. 12th International Conference on e-Learning. Madrid, Spain 17 - 19 Jul 2018 IADIS. pp. 115-123
Engineering intelligent environments: preliminary findings of a systematic review
Santokhee, A., Augusto, J. and Evans, C. 2018. Engineering intelligent environments: preliminary findings of a systematic review. 2nd Workshop on Citizen Centric Smart Cities Solutions (CCSCS'18), The 14th International Conference on Intelligent Environments. Rome, Italy 25 - 28 Jun 2018 IOS Press Ebook. pp. 57-66 https://doi.org/10.3233/978-1-61499-874-7-57
Perspectives on engineering more usable context-aware systems
Alegre, U., Augusto, J. and Evans, C. 2018. Perspectives on engineering more usable context-aware systems. Journal of Ambient Intelligence and Humanized Computing. 9 (5), pp. 1593-1609. https://doi.org/10.1007/s12652-018-0863-7
Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques
Gao, X. and Qian, Y. 2018. Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques. Molecular Pharmaceutics. 15 (10), pp. 4326-4335. https://doi.org/10.1021/acs.molpharmaceut.7b00875
Segmentation of brain lesions from CT images based on deep learning techniques
Gao, X. and Qian, Y. 2018. Segmentation of brain lesions from CT images based on deep learning techniques. Gimi, B. and Krol, A. (ed.) SPIE Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. Houston, Texas, United States 10 - 15 Feb 2018 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2286844
Using argumentation to manage users' preferences
Oguego, C., Augusto, J., Muñoz, A. and Springett, M. 2018. Using argumentation to manage users' preferences. Future Generation Computer Systems. 81, pp. 235-243. https://doi.org/10.1016/j.future.2017.09.040
A survey on managing users' preferences in ambient intelligence
Oguego, C., Augusto, J., Muñoz Ortega, A. and Springett, M. 2018. A survey on managing users' preferences in ambient intelligence. Universal Access in the Information Society. 17 (1), pp. 97-114. https://doi.org/10.1007/s10209-017-0527-y
The user-centred intelligent environments development process as a guide to co-create smart technology for people with special needs
Augusto, J., Kramer, D., Alegre, U., Covaci, A. and Santokhee, A. 2018. The user-centred intelligent environments development process as a guide to co-create smart technology for people with special needs. Universal Access in the Information Society. 17 (1), pp. 115-130. https://doi.org/10.1007/s10209-016-0514-8
The neural cognitive architecture
Huyck, C. 2017. The neural cognitive architecture. AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind. Arlington, Virginia, USA 09 - 11 Nov 2017 Association for the Advancement of Artificial Intelligence (AAAI). pp. 365-370
Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management
Dafoulas, G., Cardoso Maia, C., Ali, A., Augusto, J. and Lopez, V. 2017. Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management. IE 2017 - 13th International Conference on Intelligent Environments (IE’17). Seoul, Korea (South) 21 - 25 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 114-121 https://doi.org/10.1109/IE.2017.40
Neuron-based control mechanisms for a robotic arm and hand
Singh, N., Huyck, C., Gandhi, V. and Jones, A. 2017. Neuron-based control mechanisms for a robotic arm and hand. International Journal of Computer, Electrical, Automation, Control and Information Engineering. 11 (2), pp. 221-229. https://doi.org/10.5281/zenodo.1128871
Security and privacy requirements engineering for human centric IoT systems using eFRIEND and Isabelle
Kammueller, F., Augusto, J. and Jones, S. 2017. Security and privacy requirements engineering for human centric IoT systems using eFRIEND and Isabelle. IEEE/ACIS 15th International Conference on Software Engineering Research, Management and Application, SERA2017. University of Greenwich, London, United Kingdom 07 - 09 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SERA.2017.7965758
Improved multi-user interaction in a smart environment through a preference-based conflict resolution virtual assistant
Nurgaliyev, K., Di Mauro, D., Khan, N. and Augusto, J. 2017. Improved multi-user interaction in a smart environment through a preference-based conflict resolution virtual assistant. 13th International Conference on Intelligent Environments (IE’17). Seoul, South Korea 23 - 25 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 100-107 https://doi.org/10.1109/IE.2017.21
New methods for stress assessment and monitoring at the workplace
Carneiro, D., Novais, P., Augusto, J. and Payne, N. 2019. New methods for stress assessment and monitoring at the workplace. IEEE Transactions on Affective Computing. 10 (2), pp. 237-254. https://doi.org/10.1109/TAFFC.2017.2699633
Is Context-aware Reasoning = Case-based Reasoning?
Khan, N., Alegre, U., Kramer, D. and Augusto, J. 2017. Is Context-aware Reasoning = Case-based Reasoning? Tenth Interdisciplinary Conference on Modelling and Using Context. Paris, France 20 - 23 Jun 2017 Springer. pp. 418-431 https://doi.org/10.1007/978-3-319-57837-8_35
A framework for distributed interaction in intelligent environments
DiMauro, D., Augusto, J., Origlia, A. and Cutugno, F. 2017. A framework for distributed interaction in intelligent environments. AmI 2017: 2017 European Conference on Ambient Intelligence. Malaga, Spain 26 - 28 Apr 2017 Springer. pp. 136-151 https://doi.org/10.1007/978-3-319-56997-0_11
Supporting context-aware engineering based on stream reasoning
Kramer, D. and Augusto, J. 2017. Supporting context-aware engineering based on stream reasoning. CONTEXT'17: 10th International and Interdisciplinary Conference on Modeling and Using Context. Paris, France 20 - 23 Jun 2017 Springer. pp. 440-453 https://doi.org/10.1007/978-3-319-57837-8_37
Application of deep learning neural network for classification of TB lung CT images based on patches
Gao, X. and Qian, Y. 2017. Application of deep learning neural network for classification of TB lung CT images based on patches. ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF: CLEF 2017: Conference and Labs of the Evaluation Forum. Dublin, Ireland 11 - 14 Sep 2017 CEUR Workshop Proceedings.
Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]
Huyck, C. 2017. Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]. Cognitive Systems Research. 41, pp. 36-37. https://doi.org/10.1016/j.cogsys.2016.09.002
A fused deep learning architecture for viewpoint classification of echocardiography
Gao, X., Li, W., Loomes, M. and Wang, L. 2017. A fused deep learning architecture for viewpoint classification of echocardiography. Information Fusion. 36, pp. 103-113. https://doi.org/10.1016/j.inffus.2016.11.007
Classification of CT brain images based on deep learning networks
Gao, X., Hui, R. and Tian, Z. 2017. Classification of CT brain images based on deep learning networks. Computer Methods and Programs in Biomedicine. 138 (2017), pp. 49-56. https://doi.org/10.1016/j.cmpb.2016.10.007
A formal methodology to design and deploy dependable wireless sensor networks
Testa, A., Cinque, M., Coronato, A. and Augusto, J. 2017. A formal methodology to design and deploy dependable wireless sensor networks. Sensors. 17 (1). https://doi.org/10.3390/s17010019
A stigmergic approach to indoor localization using bluetooth low energy beacons
Palumbo, F., Barsocchi, P., Chessa, S. and Augusto, J. 2015. A stigmergic approach to indoor localization using bluetooth low energy beacons. 3rd Workshop on Activity Monitoring by Multiple Distributed Sensing (AMMDS). Karslrhue, Germany 25 - 28 Aug 2015 IEEE. pp. 1-6 https://doi.org/10.1109/AVSS.2015.7301734
Programming with simulated neurons: a first design pattern
Evans, C., Mitchell, I. and Huyck, C. 2016. Programming with simulated neurons: a first design pattern. PPIG 2016 - 27th Annual Workshop of the Psychology of Programming Interest Group. University of Cambridge, Cambridge, UK 07 - 10 Sep 2016 Psychology of Programming Interest Group. pp. 36-45
Engineering context-aware systems and applications: a survey
Alegre, U., Augusto, J. and Clark, T. 2016. Engineering context-aware systems and applications: a survey. Journal of Systems and Software. 117, pp. 55-83. https://doi.org/10.1016/j.jss.2016.02.010
The heuristic strategies for assessing wireless sensor network: an event-based formal approach
Testa, A., Cinque, M., Coronato, A., De Pietro, G. and Augusto, J. 2015. The heuristic strategies for assessing wireless sensor network: an event-based formal approach. Journal of Heuristics. 21 (2), pp. 145-175. https://doi.org/10.1007/s10732-014-9258-x
Flexible context aware interface for ambient assisted living
McNaull, J., Augusto, J., Mulvenna, M. and McCullagh, P. 2014. Flexible context aware interface for ambient assisted living. Human-centric Computing and Information Sciences. 4 (1). https://doi.org/10.1186/2192-1962-4-1
An investigation into the efficacy of avatar-based systems for student advice
Currie, E., Harvey, P., Daryanani, P., Augusto, J., Arif, R. and Ali, A. 2016. An investigation into the efficacy of avatar-based systems for student advice. EAI Endorsed Transactions on e-Learning. 3 (11). https://doi.org/10.4108/eai.15-6-2016.151450
PlaNeural: spiking neural networks that plan
Mitchell, I., Huyck, C. and Evans, C. 2016. PlaNeural: spiking neural networks that plan. 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016. New York City, NY, USA 16 Jul 2016 Elsevier. pp. 198-204 https://doi.org/10.1016/j.procs.2016.07.425
Co-creation of smart technology with (and for) people with special needs
Augusto, J., Kramer, D., Alegre, U., Covaci, A. and Santokhee, A. 2016. Co-creation of smart technology with (and for) people with special needs. 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion. Vila Real, Portugal 01 - 03 Dec 2016 Association for Computing Machinery (ACM). pp. 39-46 https://doi.org/10.1145/3019943.3019950
A deep learning based approach to classification of CT brain images
Gao, X. and Hui, R. 2016. A deep learning based approach to classification of CT brain images. SAI Computing Conference 2016. London, UK 13 - 15 Jul 2016 IEEE. https://doi.org/10.1109/sai.2016.7555958
A new approach to image enhancement for the visually impaired
Gao, X. and Loomes, M. 2016. A new approach to image enhancement for the visually impaired. IS&T International Symposium on Electronic Imaging 2016 - Color Imaging XXI: Displaying, Processing, Hardcopy, and Applications. San Francisco, CA, USA 14 - 18 Feb 2016 Society for Imaging Science and Technology. pp. 1-7 https://doi.org/10.2352/ISSN.2470-1173.2016.20.COLOR-325
Enhancing student support with a virtual assistant
Harvey, P., Currie, E., Daryanani, P. and Augusto, J. 2016. Enhancing student support with a virtual assistant. Vincenti, G., Bucciero, A. and Vaz de Carvalho, C. (ed.) eLEOT 2015: 2nd EAI International Conference on e-Learning e-Education and Online Training. Novedrate, Italy 16 - 18 Sep 2015 Springer. pp. 101-109 https://doi.org/10.1007/978-3-319-28883-3_13
Temporal reasoning for intuitive specification of context-awareness
Alegre, U., Augusto, J. and Aztiria, A. 2014. Temporal reasoning for intuitive specification of context-awareness. 10th International Conference on Intelligent Environments - IE'14. Shanghai, China 30 Jun - 04 Jul 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 234-241
Neural constraints and flexibility in language processing
Huyck, C. 2016. Neural constraints and flexibility in language processing. Behavioral and Brain Sciences: An International Journal of Current Research and Theory with Open Peer Commentary. 39, p. e78. https://doi.org/10.1017/s0140525x15000837
Assessing real world imagery in virtual environments for people with cognitive disabilities
Covaci, A., Kramer, D., Augusto, J., Rus, S. and Braun, A. 2015. Assessing real world imagery in virtual environments for people with cognitive disabilities. Intelligent Environments 2015. Prague, Czech Republic 15 - 17 Jul 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 41-48
Spatial health systems: the state of the art
Gottfried, B., Aghajan, H., Wong, K., Augusto, J., Guesgen, H., Kirste, T. and Lawo, M. 2014. Spatial health systems: the state of the art. in: Holzinger, A., Ziefle, M. and Roecker, C. (ed.) Smart health. State of the art Springer Verlag. pp. 41-70
Self organising maps with a point neuron model
Huyck, C. and Mitchell, I. 2013. Self organising maps with a point neuron model. Intl Conf. on Cognitive and Neural Systems.
Developing navigational services for people with Down's Syndrome
Kramer, D., Covaci, A. and Augusto, J. 2015. Developing navigational services for people with Down's Syndrome. 2015 International Conference on Intelligent Environments. Prague, Czech Republic 15 - 17 Jul 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 128-131 https://doi.org/10.1109/IE.2015.26
Evaluation of colour appearances displaying on smartphones
Gao, X., Khodamoradi, E., Guo, L., Yang, X., Tang, S., Guo, W. and Wang, Y. 2015. Evaluation of colour appearances displaying on smartphones. Yaguchi, H., Okajima, K., Ishida, T., Araki, K., Doi, M. and Manabe, Y. (ed.) AIC 2015, Color and Image, Midterm meeting of the International Colour Association (AIC). Tokyo, Japan 19 - 22 May 2015 The Color Science Association of Japan. pp. 539-544
A comparison of simple agents implemented in simulated neurons
Huyck, C., Evans, C. and Mitchell, I. 2015. A comparison of simple agents implemented in simulated neurons. Biologically Inspired Cognitive Architectures. 12, pp. 9-19. https://doi.org/10.1016/j.bica.2015.03.001
Programming the MIRTO robot with neurons
Huyck, C., Primiero, G. and Raimondi, F. 2014. Programming the MIRTO robot with neurons. Procedia Computer Science. 41, pp. 75-82. https://doi.org/10.1016/j.procs.2014.11.087
A neuro-computational approach to PP attachment ambiguity resolution
Nadh, K. and Huyck, C. 2012. A neuro-computational approach to PP attachment ambiguity resolution. Neural Computation. 24 (7), pp. 1906-1925. https://doi.org/10.1162/NECO_a_00298
A review of cell assemblies
Huyck, C. and Passmore, P. 2013. A review of cell assemblies. Biological Cybernetics. 107 (3), pp. 263-288. https://doi.org/10.1007/s00422-013-0555-5
Compensatory Hebbian learning for categorisation in simulated biological neural nets
Huyck, C. and Mitchell, I. 2013. Compensatory Hebbian learning for categorisation in simulated biological neural nets. Biologically Inspired Cognitive Architectures. 6 (5), pp. 3-7. https://doi.org/10.1016/j.bica.2013.06.003
Context-awareness to increase inclusion of people with DS in society
Kramer, D., Augusto, J. and Clark, T. 2014. Context-awareness to increase inclusion of people with DS in society. AAAI 14: Workshop on Artificial Intelligence Applied to Assistive Technologies and Smart Environments (ATSE 2014). Quebec City, Quebec, Canada 27 - 31 Jul 2014 Association for the Advancement of Artificial Intelligence (AAAI). pp. 27-31
Night optimised care technology for users needing assisted lifestyles
Augusto, J., Mulvenna, M., Zheng, H., Wang, H., Martin, S., McCullagh, P. and Wallace, J. 2014. Night optimised care technology for users needing assisted lifestyles. Behaviour and Information Technology. 33 (12), pp. 1261-1277. https://doi.org/10.1080/0144929X.2013.816773
Personalized smart environments to increase inclusion of people with Down's Syndrome
Augusto, J., Grimstad, T., Wichert, R., Schulze, E., Braun, A., Rødevand, G. and Ridley, V. 2013. Personalized smart environments to increase inclusion of people with Down's Syndrome. Augusto, J., Wichert, R., Collier, R., Keyson, D., Salah, A. and Tan, A. (ed.) International Joint Conference on Ambient Intelligence. Dublin, Ireland Springer International. https://doi.org/10.1007/978-3-319-03647-2_16
Reflections on ambient intelligence systems handling of user preferences and needs
Augusto, J. 2014. Reflections on ambient intelligence systems handling of user preferences and needs. The 10th International Conference on Intelligent Environments (IE'14). Shanghai, P.R. China 29 Jun - 04 Jul 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 369-371
AAL4DS (Can AAL technology help people with Down’s Syndrome to live better lives?)
Augusto, J. 2012. AAL4DS (Can AAL technology help people with Down’s Syndrome to live better lives?). Proceedings of AALForum2012 (Tomorrow in Sight: from Design to Delivery). Eindhoven, The Netherlands 26 Sep 2012 pp. 79-83
A group decision making model for partially ordered preference under uncertainty
Chen, S., Liu, J., Wang, H. and Augusto, J. 2015. A group decision making model for partially ordered preference under uncertainty. Information Fusion. 25, pp. 32-41. https://doi.org/10.1016/j.inffus.2014.11.001
eFRIEND: an ethical framework for intelligent environments development
Jones, S., Hara, S. and Augusto, J. 2015. eFRIEND: an ethical framework for intelligent environments development. Ethics and Information Technology. 17 (1), pp. 11-25. https://doi.org/10.1007/s10676-014-9358-1
The application of KAZE features to the classification echocardiogram videos
Li, W., Qian, Y., Loomes, M. and Gao, X. 2015. The application of KAZE features to the classification echocardiogram videos. First International Workshop Multimodal Retrieval in the Medical Domain (MRMD 2015). Vienna, Austria 29 Mar 2015 Springer. pp. 61-72 https://doi.org/10.1007/978-3-319-24471-6_6
Modelling of chromatic contrast for retrieval of wallpaper images
Gao, X., Wang, Y., Qian, Y. and Gao, A. 2015. Modelling of chromatic contrast for retrieval of wallpaper images. Color Research and Application. 40 (4), pp. 361-373. https://doi.org/10.1002/col.21897
Requirements for context-aware systems
Evans, C., Brodie, L. and Augusto, J. 2014. Requirements for context-aware systems. 20th International Working Conference on Requirements Engineering: Foundations for Software Quality (REFSQ). Essen, Germany 07 - 10 Apr 2014 pp. 137-138
Requirements engineering for intelligent environments
Evans, C., Brodie, L. and Augusto, J. 2014. Requirements engineering for intelligent environments. The 10th International Conference on Intelligent Environments. Shanghai, China 29 Jun - 04 Jul 2014 pp. 154-161
A user-centric software development process
Augusto, J. 2014. A user-centric software development process. The 10th International Conference on Intelligent Environments (IE'14). Shanghai, P.R. China 29 Jun - 04 Jul 2014 pp. 252-255
Sensors for Ambient Assisted Living (AAL) and smart homes
Martinez Madrid, N., Martinez Fernandez, J., Seepold, R. and Augusto, J. 2013. Sensors for Ambient Assisted Living (AAL) and smart homes. in: Filippini, D. (ed.) Autonomous Sensor Networks: Collective Sensing Strategies for Analytical Purposes Springer.
Context-aware discovery of human frequent behaviours through sensor information interpretation
Aztiria, A. and Augusto, J. 2013. Context-aware discovery of human frequent behaviours through sensor information interpretation. in: Guesgen, H. and Marsland, S. (ed.) Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security IGI Global. pp. 14-32
A hierarchical human activity recognition framework based on automated reasoning
Chen, S., Liu, J., Wang, H. and Augusto, J. 2013. A hierarchical human activity recognition framework based on automated reasoning. IEEE International Conference on Systems, Man and Cybernetics (SMC2013). Manchester, UK 13 - 16 Oct 2013
A linguistic multi-criteria decision making approach based on logical reasoning
Chen, S., Liu, J., Wang, H. and Augusto, J. 2014. A linguistic multi-criteria decision making approach based on logical reasoning. Information Sciences. 258, pp. 266-276. https://doi.org/10.1016/j.ins.2013.08.040
Participatory research to design a novel system to support the night-time needs of people with dementia; NOCTURNAL
Martin, S., Augusto, J., McCullagh, P., Carswell, W., Zheng, H., Wang, H., Wallace, J. and Mulvenna, M. 2013. Participatory research to design a novel system to support the night-time needs of people with dementia; NOCTURNAL. International Journal of Environmental Research and Public Health. 10 (12), pp. 6764-6782. https://doi.org/10.3390/ijerph10126764
Self-aware trader: a new approach to safer trading
Martínez Fernández, J., Augusto, J., Trombino, G., Seepold, R. and Martinez Madrid, N. 2013. Self-aware trader: a new approach to safer trading. Journal of Universal Computer Science. 19 (15), pp. 2292-2319.
Learning frequent behaviours of the users in intelligent environments
Aztiria, A., Augusto, J., Basagoiti, R., Izaguirre, A. and Cook, D. 2013. Learning frequent behaviours of the users in intelligent environments. IEEE Transactions on Systems Man and Cybernetics: Systems. 43 (6), pp. 1265-1278. https://doi.org/10.1109/TSMC.2013.2252892
Intelligent environments: a manifesto
Augusto, J., Callaghan, V., Kameas, A., Cook, D. and Satoh, I. 2013. Intelligent environments: a manifesto. Human-centric Computing and Information Sciences. 3 (12). https://doi.org/10.1186/2192-1962-3-12
eFRIEND: an ethical framework for intelligent environment development
Jones, S., Augusto, J. and Hara, S. 2014. eFRIEND: an ethical framework for intelligent environment development. The 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments: PETRA 2014. Rhodes, Greece 27 - 30 May 2014 Association for Computing Machinery (ACM). https://doi.org/10.1145/2674396.2674410
Post and pre-compensatory Hebbian Learning for categorisation
Huyck, C. and Mitchell, I. 2014. Post and pre-compensatory Hebbian Learning for categorisation. Cognitive Neurodynamics. 8 (4), pp. 299-311. https://doi.org/10.1007/s11571-014-9282-4
Feature-wise representation for both still and motion 3D medical images
Gao, X. 2014. Feature-wise representation for both still and motion 3D medical images. 2014 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI). San Diego, USA 06 - 09 Apr 2014 IEEE. pp. 1-4 https://doi.org/10.1109/SSIAI.2014.6806014
True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms
Yang, X., Huyck, C., Karamanoglu, M. and Khan, N. 2013. True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms. International Journal of Bio-Inspired Computation. 5 (6), pp. 329-335. https://doi.org/10.1504/IJBIC.2013.058910
Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography
Gao, A., Li, W., Lin, C., Loomes, M. and Gao, X. 2013. Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography. in: IPCV'13 - The 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition CSRES Press.
Content-based petrieval of 3D medical images
Qian, Y., Gao, X., Loomes, M., Comley, R., Barn, B., Hui, R. and Tian, Z. 2011. Content-based petrieval of 3D medical images. in: Gemert-Pijnen, L., Ossebaard, H. and Hämäläinen, P. (ed.) eTELEMED 2011, The Third International Conference on eHealth, Telemedicine, and Social Medicine IARIA. pp. 7-12
Visualization of data for ambient assisted living services
Mulvenna, M., Carswell, W., McCullagh, P., Augusto, J., Zheng, H., Jeffers, P., Wang, H. and Martin, S. 2011. Visualization of data for ambient assisted living services. IEEE Communications Magazine. 49 (1), pp. 110-117. https://doi.org/10.1109/MCOM.2011.5681023
Mass function derivation and combination in multivariate data spaces
Wang, H., Liu, J. and Augusto, J. 2010. Mass function derivation and combination in multivariate data spaces. Information Sciences. 180 (6), pp. 813-819. https://doi.org/10.1016/j.ins.2009.08.027
Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system
Muñoz, A., Augusto, J., Villa, A. and Botía, J. 2011. Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system. Personal and Ubiquitous Computing. 15 (4), pp. 377-387. https://doi.org/10.1007/s00779-010-0361-1
Ordering based decision making: a survey
Chen, S., Liu, J., Wang, H. and Augusto, J. 2013. Ordering based decision making: a survey. Information Fusion. 14 (4), pp. 521-531. https://doi.org/10.1016/j.inffus.2012.10.005
Software simulation and verification to increase the reliability of intelligent environments
Augusto, J. and Hornos, M. 2013. Software simulation and verification to increase the reliability of intelligent environments. Advances in Engineering Software. 58, pp. 18-34. https://doi.org/10.1016/j.advengsoft.2012.12.004
Using patterns position distribution for software failure detection
Li, C., Chen, Z., Du, H., Wang, H., Wilkie, G., Augusto, J. and Liu, J. 2013. Using patterns position distribution for software failure detection. International Journal of Computational Intelligence Systems. 6 (2), pp. 234-243. https://doi.org/10.1080/18756891.2013.768442
A sensor technology survey for a stress aware trading process
Fernandez, J., Augusto, J., Seepold, R. and Madrid, N. 2012. A sensor technology survey for a stress aware trading process. Transactions on Systems, Man and Cybernetics - Part C. 42 (6), pp. 809-824. https://doi.org/10.1109/TSMCC.2011.2179028
Discovering frequent user-environment interactions in intelligent environments
Aztiria, A., Augusto, J., Basagoiti, R., Izaguirre, A. and Cook, D. 2012. Discovering frequent user-environment interactions in intelligent environments. Personal and Ubiquitous Computing. 16 (1), pp. 91-103. https://doi.org/10.1007/s00779-011-0471-4
A linguistic truth-value temporal reasoning (LTR) system and its application to the design of an intelligent environment
Lu, Z., Augusto, J., Liu, J. and Wang, H. 2012. A linguistic truth-value temporal reasoning (LTR) system and its application to the design of an intelligent environment. International Journal of Computational Intelligence Systems. 5 (1), pp. 173-196. https://doi.org/10.1080/18756891.2012.670529
Static verification of wireless sensor networks with formal methods
Testa, A., Coronato, A., Cinque, M. and Augusto, J. 2012. Static verification of wireless sensor networks with formal methods. 8th International Conference on Signal Image Technology and Internet Based Systems (SITIS 2012). Naples, Italy 25 - 29 Nov 2012 pp. 587-594
Modeling eating disorders of cognitive impaired people
Coronato, A., De Pietro, G. and Augusto, J. 2012. Modeling eating disorders of cognitive impaired people. HumanCom'2012. Gwangju, South Korea pp. 165-172
An evidential reasoning based approach for decision making with partially ordered preference under uncertainty
Chen, S., Liu, J., Wang, H. and Augusto, J. 2013. An evidential reasoning based approach for decision making with partially ordered preference under uncertainty. 2013 International Conference on Machine Learning and Cybernetics. Tianjin, China 14 - 17 Jul 2013 IEEE. pp. 1712-1717 https://doi.org/10.1109/ICMLC.2013.6890874
The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos
Qian, Y., Wang, L., Wang, C. and Gao, X. 2013. The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos. Greenspan, H., Müller, H. and Syeda-Mahmood, T. (ed.) 3rd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support. Nice, France 01 - 01 Oct 2012 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-642-36678-9_7
3D CBIR with sparse coding for image-guided neurosurgery
Qian, Y., Hui, R. and Gao, X. 2013. 3D CBIR with sparse coding for image-guided neurosurgery. Signal Processing. 93 (6), pp. 1673-1683. https://doi.org/10.1016/j.sigpro.2012.10.020
Retrieval of 3D medical images via their texture features
Gao, X., Qian, Y., Loomes, M., Barn, B., Comley, R., Chapman, A., Rix, J., Hui, R. and Tian, Z. 2012. Retrieval of 3D medical images via their texture features. International Journal on Advances in Software. 4 (3&4), pp. 499-509.
Bridging the abridged – the diffusion of Telemedicine in Europe and China
Gao, X., Loomes, M. and Comley, R. 2012. Bridging the abridged – the diffusion of Telemedicine in Europe and China. in: Rodrigues, J., Díez, I. and Abajo, B. (ed.) Telemedicine and e-health services, policies, and applications: avancements and developments USA IGI Global. pp. 451-495
The state of the art of medical imaging technology: from creation to archive and back.
Gao, X., Qian, Y. and Hui, R. 2011. The state of the art of medical imaging technology: from creation to archive and back. The Open Medical Informatics Journal. 5 (1-M8), pp. 73-85. https://doi.org/10.2174/1874431101105010073
A reasoning system for uncertain and dynamic environments
Lu, Z., Augusto, J., Liu, J., Wang, H. and Aztiria, A. 2012. A reasoning system for uncertain and dynamic environments. International Journal on Artificial Intelligence Tools. 21 (5). https://doi.org/10.1142/S0218213012500236
Data and information quality issues in ambient assisted living systems
McNaull, J., Augusto, J., Mulvenna, M. and McCullagh, P. 2012. Data and information quality issues in ambient assisted living systems. Journal of Data and Information Quality. 4 (1), pp. 1-15. https://doi.org/10.1145/2378016.2378020
Cell assemblies for query expansion in information retrieval
Volpe, I., Moreira, V. and Huyck, C. 2011. Cell assemblies for query expansion in information retrieval. 2011 International Joint Conference on Neural Networks (IJCNN). San Jose, CA, USA 31 Jul - 05 Aug 2011 IEEE. pp. 551-558 https://doi.org/10.1109/IJCNN.2011.6033269
Living without a safety net in an Intelligent Environment
Augusto, J., McCullagh, P. and Augusto-Walkden, J. 2011. Living without a safety net in an Intelligent Environment. ICST Transactions on Ambient Systems. 11 (10-12). https://doi.org/10.4108/trans.amsys.2011.e6
The anatomy of teleneurosurgery in China
Gao, X. 2011. The anatomy of teleneurosurgery in China. International Journal of Telemedicine and Applications. 2011. https://doi.org/10.1155/2011/353405
Conflict resolution and learning probability matching in a neural cell-assembly architecture
Belavkin, R. and Huyck, C. 2011. Conflict resolution and learning probability matching in a neural cell-assembly architecture. Cognitive Systems Research. 12 (2), pp. 93-101. https://doi.org/10.1016/j.cogsys.2010.08.003
A Pong playing agent modelled with massively overlapping cell assemblies
Nadh, K. and Huyck, C. 2010. A Pong playing agent modelled with massively overlapping cell assemblies. Neurocomputing. 73 (16-18), pp. 2928-2934. https://doi.org/10.1016/j.neucom.2010.07.013
Multi-associative memory in fLIF cell assemblies.
Huyck, C. and Nadh, K. 2009. Multi-associative memory in fLIF cell assemblies. 9th International Conference on Cognitive Modeling. Manchester 24 - 26 Jul 2009
Processing with cell assemblies
Byrne, E. and Huyck, C. 2010. Processing with cell assemblies. Neurocomputing. 74 (1-3), pp. 76-83. https://doi.org/10.1016/j.neucom.2009.09.024
Using cohesive devices to recognize rhetorical relations in text.
Le, H., Abeysinghe, G. and Huyck, C. 2003. Using cohesive devices to recognize rhetorical relations in text. 4th Computational Linguistics UK Research Colloquium (CLUK-4). Edinburgh University Jan 2003 pp. 123-128
Automated discourse segmentation by syntactic information and cue phrases.
Le, H., Abeysinghe, G. and Huyck, C. 2004. Automated discourse segmentation by syntactic information and cue phrases. IASTED International Conference on Artificial Intelligence and Applications (AIA 2004). Innsbruck, Austria 16 - 18 Feb 2004 pp. 293-298
Generating discourse structures for written texts
Le, H., Abeysinghe, G. and Huyck, C. 2004. Generating discourse structures for written texts. International Conference on Computational Linguistics, (COLING 2004). University of Geneva, Switzerland 23 - 27 Aug 2004 pp. 329-355
A study to improve the efficiency of a discourse parsing system
Le, H., Abeysinghe, G. and Huyck, C. 2003. A study to improve the efficiency of a discourse parsing system. 4th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing’03). Mexico City 16 - 22 Feb 2003 pp. 101-114
Emergence of rules in cell assemblies of fLIF neurons.
Belavkin, R. and Huyck, C. 2008. Emergence of rules in cell assemblies of fLIF neurons. The 18th European Conference on Artificial Intelligence. University of Patras, Greece 21 - 25 Jul 2008
A model of probability matching in a two-choice task based on stochastic control of learning in neural cell-assemblies.
Belavkin, R. and Huyck, C. 2009. A model of probability matching in a two-choice task based on stochastic control of learning in neural cell-assemblies. 9th International conference on cognitive modelling {ICCM 2009]. University of Manchester 24 - 26 Jul 2009
Models of cell assembly decay
Passmore, P. and Huyck, C. 2008. Models of cell assembly decay. Institute of Electrical and Electronics Engineers. pp. 1-6 https://doi.org/10.1109/UKRICIS.2008.4798946
Dialogue based interfaces for universal access.
Huyck, C. 2010. Dialogue based interfaces for universal access. Universal Access in the Information Society. https://doi.org/10.1007/s10209-010-0209-5
A psycholinguistic model of natural language parsing implemented in simulated neurons
Huyck, C. 2009. A psycholinguistic model of natural language parsing implemented in simulated neurons. Cognitive Neurodynamics. 3 (4), pp. 316-330. https://doi.org/10.1007/s11571-009-9080-6
Variable binding by synaptic strength change
Huyck, C. 2009. Variable binding by synaptic strength change. Connection Science. 21 (4), pp. 327-357. https://doi.org/10.1080/09540090902954188
Texture-based 3d image retrieval for medical applications
Gao, X., Qian, Y., Hui, R., Loomes, M., Comley, R., Barn, B., Chapman, A. and Rix, J. 2010. Texture-based 3d image retrieval for medical applications. Macedo, M. (ed.) IADIS International Conference e-Health 2010. Freiburg, Germany 29 - 31 Jul 2010 IADIS. pp. 101-108
Application of mesh morphing techniques in modelling 3D objects
Gao, X. and Hassan, M. 2010. Application of mesh morphing techniques in modelling 3D objects. Annual International Conference on Computer Games Multimedia and Allied Technology. Singapore 06 - 07 Apr 2010 Global Science and Technology Forum. https://doi.org/10.5176/978-981-08-5480-5_048
Prepositional phrase attachment ambiguity resolution using semantic hierarchies
Nadh, K. and Huyck, C. 2009. Prepositional phrase attachment ambiguity resolution using semantic hierarchies. Hamza, M. (ed.) 9th IASTED International Conference on Artificial Intelligence and Applications. Innsbruck, Austria 17 - 18 Feb 2009 Acta Press.
Neural cell assemblies for practical applications.
Huyck, C. and Bavan, A. 2002. Neural cell assemblies for practical applications. in: Callaos, N. (ed.) SCI 2002: ISAS: the 6th world multiconference on systemics, cybernetics and informatics: proceedings. Orlando, Florida. International Institute of Informatics and Systemics.. pp. 174-177
Agent design method for enhancing accessibility.
Cook, J., Huyck, C. and Whitney, G. 2004. Agent design method for enhancing accessibility. in: McLoughlin, C. and Cantoni, L. (ed.) ED-MEDIA 2004: world conference on educational multimedia, hypermedia and telecommunications: proceedings of ED-MEDIA 2004. Association for the Advancement of Computing in Education.
Road sign recognition by one fixation of space-variant sensor.
Gao, X., Shaposhnikov, D., Podladchikova, L., Golovan, A., Shevtsova, N. and Hong, K. 2002. Road sign recognition by one fixation of space-variant sensor. in: Gorodnich, D. and Zhang, H. (ed.) Vision Interface ’2002: proceedings Quebec Canadian Image Processing and Pattern Recognition Society.
Invariant recognition of traffic signs
Gao, X., Shaposhnikov, D., Podladchikova, L., Shevtsova, N. and Golovan, A. 2002. Invariant recognition of traffic signs.
Application of the behavioural model of vision for invariant recognition of facial and traffic sign images.
Gao, X., Shaposhnikov, D., Podladchikova, L., Golovan, A., Shevtsova, N., Gusakova, V. and Gizatdinova, Y. 2003. Application of the behavioural model of vision for invariant recognition of facial and traffic sign images. in: Gulaev, Y. and Galushkin, A. (ed.) Neurocomputers and their application. [In Russian] Moscow Radiotechnics.
Image classification based on the informative regions properties.
Gao, X., Podladchikova, L. and Shaposhnikov, D. 2003. Image classification based on the informative regions properties. in: Proceedings of PRIA-6-2002 : 6th International conference on pattern recognition and image analysis: new information technologies. MAIK Nauka/Interperiodica. pp. 439-441
Image retrieval through perceptual shape modelling.
Gao, X., Ren, M., Riley, K., Eakins, J. and Briggs, P. 2001. Image retrieval through perceptual shape modelling. London Council for Museums, Archives and Libraries.
Telemedicine in Europe.
Gao, X. 2006. Telemedicine in Europe. ChinaPacs. Beijing 14 - 16 Apr 2006
A new approach to traffic sign recognition
Gao, X., Podladchikova, L., Shaposhnikov, D., Hong, K., Batty, S., Golovan, A., Gusakova, V. and Shevtsova, N. 2002. A new approach to traffic sign recognition. in: Arabnia, H. and Mun, Y. (ed.) Proceedings of the international conference on imaging science, systems, and technology: CISST'02. Athens CSREA Press.
Road sign recognition by means of the behavioural model of vision.
Gao, X., Golovan, A., Hong, K., Podladchikova, L. and Shevtsova, N. 2002. Road sign recognition by means of the behavioural model of vision. in: Proceedings of the third all-Russian conference on neuroinformatics [In Russian]. Moscow. pp. 63-69
Colour reproduction for tele-imaging systems
Gao, X. and He, P. 2006. Colour reproduction for tele-imaging systems. Computerized medical imaging and graphics. 30 (6-7), pp. 79-84.
Measurement of vessel diameters on retinal for cardiovascular studies.
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2001. Measurement of vessel diameters on retinal for cardiovascular studies. in: Claridge, E., Bamber, J. and Marlow, K. (ed.) Medical image understanding and analysis 2001. Medical Imaging Understanding and Analysis.
Extraction of sagittal symmetry planes from PET images.
Gao, X., Batty, S., Clark, J., Fryer, T., Blandford, A. and International Association of Science and Technology for Development. 2001. Extraction of sagittal symmetry planes from PET images. in: Hamza, M. (ed.) Visualization, imaging and image processing: proceedings of the IASTED international conference. Calgary IASTED. pp. 428-433
The state of art of medical displays.
Gao, X. 2006. The state of art of medical displays. EuroPacs 2006. Trondheim, Norway 14 - 17 Jun 2006
Towards archiving wallpaper images
Gao, X., Qian, Y., Tully, T. and Hendon, Z. 2004. Towards archiving wallpaper images. in: Hamza, M. (ed.) Proceedings of the seventh IASTED international conference on computer graphics and imaging. Anaheim Acta Press. pp. 305-309
High-precision detection of facial landmarks to estimate head motions based on vision models
Gao, X., Anishenko, S., Shaposhnikov, D., Podladchikova, L., Batty, S. and Clark, J. 2007. High-precision detection of facial landmarks to estimate head motions based on vision models. Journal of computer sciences. 3 (7), pp. 528-532.
Content-based retrieval of PET images via localised anatomical texture measurements and mean activity levels
Gao, X., Batty, S., Clark, J. and Fryer, T. 2006. Content-based retrieval of PET images via localised anatomical texture measurements and mean activity levels. Computerized medical imaging and graphics. 30 (6-7), pp. 70-74.
Extraction of physiological information from 3D PET brain images.
Gao, X., Batty, S., Fryer, T., Clark, J., Turkheimer, F. and International Association of Science and Technology for Development. 2003. Extraction of physiological information from 3D PET brain images. in: Villanueva, J. (ed.) Visualization imaging and image processing. Acta Press. pp. 401-405
Extraction of features from 3D PET images.
Gao, X., Batty, S., Clark, J. and Fryer, T. 2002. Extraction of features from 3D PET images. in: Houston, A. and Zwiggelar, R. (ed.) Medical image understanding and analysis 2002. BMVA.
Towards archiving 3D PET brain images based on their physiological and visual content.
Gao, X., Batty, S., Clark, J., Fryer, T. and Turkheimer, F. 2002. Towards archiving 3D PET brain images based on their physiological and visual content. International conference on diagnostic imaging and analysis. Shanghai, China 18 - 20 Aug 2002
A new approach to estimation of non-isotropic scale factors for correction of MR distortion
Gao, X., Hui, R., White, A.S. and Tian, Z. 2009. A new approach to estimation of non-isotropic scale factors for correction of MR distortion. International Journal of Computer Assisted Radiology and Surgery. 4 (s1), pp. s349-s350.
Classification of images on the basis of the properties of informative regions.
Gao, X., Shaposhnikov, D. and Podladchikova, L. 2003. Classification of images on the basis of the properties of informative regions. Pattern Recognition and Image Analysis. 13 (2), pp. 349-352.
Counting with neurons: rule application with nets of fatiguing leaking integrate and fire neurons.
Huyck, C. and Belavkin, R. 2006. Counting with neurons: rule application with nets of fatiguing leaking integrate and fire neurons. 7th International Conference on Cognitive Modelling. Trieste, Italy pp. 142-147
A fast approach to segmentation of PET brain images for extraction of features
Gao, X. and Clark, J. 2008. A fast approach to segmentation of PET brain images for extraction of features. Gao, X., Loomes, M., Comley, R., Muller, H. and Luo, S. (ed.) International Conference on Medical Imaging and Informatics (MIMI 2007). Beijing, China 14 - 16 Aug 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-79490-5_25
Prototype system for semantic retrieval of neurological PET images
Batty, S., Clark, J., Fryer, T. and Gao, X. 2008. Prototype system for semantic retrieval of neurological PET images. Gao, X., Muller, H., Loomes, M., Comley, R. and Luo, S. (ed.) International Conference on Medical Imaging and Informatics (MIMI 2007). Beijing, China 14 - 16 Aug 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-79490-5_23
Colour vision model-based approach for segmentation of traffic signs
Gao, X., Hong, K., Passmore, P., Podladchikova, L. and Shaposhnikov, D. 2008. Colour vision model-based approach for segmentation of traffic signs. EURASIP Journal on Image and Video Processing. 2008. https://doi.org/10.1155/2008/386705
Toward a robust system to monitor the head motions during PET based on facial landmarks detection: a new approach
Anishenko, S., Osimov, V., Shaposhnikov, D., Podladchikova, L., Comley, R. and Gao, X. 2008. Toward a robust system to monitor the head motions during PET based on facial landmarks detection: a new approach. Puuronen, S., Pechenizkiy, M., Tsymbal, A. and Lee, D. (ed.) 21st IEEE International Symposium on Computer-Based Medical Systems. Jyvaskyla, Finland 17 - 19 Jun 2008 IEEE Computer Society. pp. 50-52 https://doi.org/10.1109/CBMS.2008.19
Detection of head motions using a vision model
Gao, X., Shaposhnikov, D., Podladchikova, L., Batty, S. and Clark, J. 2007. Detection of head motions using a vision model. Bashshur, R. (ed.) 3rd IASTED International Conference on Telehealth. Montreal, QC, Canada 31 May - 01 Jun 2007 Anaheim, CA Acta Press. pp. 167-171
Creating hierarchical categories using cell assemblies
Huyck, C. 2007. Creating hierarchical categories using cell assemblies. Connection Science. 19 (1), pp. 1-24. https://doi.org/10.1080/09540090600779713
Relevance feedback and cross-language information retrieval
Orengo, V. and Huyck, C. 2006. Relevance feedback and cross-language information retrieval. Information Processing and Management. 42 (5), pp. 1203-1217. https://doi.org/10.1016/j.ipm.2005.12.003
Recognition of traffic signs based on their colour and shape features extracted using human vision models
Gao, X., Podladchikova, L., Shaposhnikov, D., Hong, K. and Shevtsova, N. 2006. Recognition of traffic signs based on their colour and shape features extracted using human vision models. Journal of Visual Communication and Image Representation. 17 (4), pp. 675-685. https://doi.org/10.1016/j.jvcir.2005.10.003
Information retrieval and categorisation using a cell assembly network
Huyck, C. and Orengo, V. 2005. Information retrieval and categorisation using a cell assembly network. Neural Computing and Applications. 14 (4), pp. 282-289. https://doi.org/10.1007/s00521-004-0464-6
Colour management in telemedicine
Gao, X. 2004. Colour management in telemedicine. Hamza, M. (ed.) 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, United States 16 - 18 Aug 2004 Anaheim, CA Acta Press. pp. 361-364
Application of vision models to traffic sign recognition
Gao, X., Shaposhnikov, D. and Podladchikova, L. 2004. Application of vision models to traffic sign recognition. Kaynak, O., Alpaydin, E., Oja, E. and Xu, L. (ed.) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Istanbul, Turkey 26 - 29 Sep 2003 Berlin, Heidelberg Springer. https://doi.org/10.1007/3-540-44989-2_131
Overlapping cell assemblies from correlators
Huyck, C. 2004. Overlapping cell assemblies from correlators. Neural Computing Letters. 56, pp. 435-439. https://doi.org/10.1016/j.neucom.2003.08.003
Towards content-based retrieval for wallpaper images
Qian, Y., Tully, C., Hendon, Z. and Gao, X. 2003. Towards content-based retrieval for wallpaper images. 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, United States 16 - 18 Aug 2004 pp. 305-309
Vision models based identification of traffic signs
Gao, X., Podladchikova, L., Shaposhnikov, D., Shevtsova, N., Hong, K., Batty, S., Golovan, A. and Gusakova, V. 2002. Vision models based identification of traffic signs. 1st European Conference on Colour Graphics, Imaging, and Vision. University of Poitiers, France 02 - 05 Apr 2002 Society for Imaging Science and Technology.
Content based retrieval of lesioned brain images
Batty, S., Blandford, A., Clark, J., Fryer, T. and Gao, X. 2002. Content based retrieval of lesioned brain images. Siegel, E. and Huang, H. (ed.) SPIE Medical Imaging 2002. San Diego, California, United States 23 - 28 Feb 2002 Bellingham Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.466997
A method of vessel tracking for vessel diameter measurement on retinal images
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2001. A method of vessel tracking for vessel diameter measurement on retinal images. 2001 International Conference on Image Processing. Thessaloniki, Greece 07 - 10 Oct 2001 IEEE.
Computer algorithms for the automated measurement of retinal arteriolar diameters
Chapman, N., Witt, N., Gao, X., Bharath, A., Stanton, A., Thom, S. and Hughes, A. 2001. Computer algorithms for the automated measurement of retinal arteriolar diameters. British Journal of Ophthalmology. 85 (1), pp. 74-79. https://doi.org/10.1136/bjo.85.1.74
Quantification and characterization of arteries in retinal images
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2000. Quantification and characterization of arteries in retinal images. Computer Methods and Programs in Biomedicine. 63 (2), pp. 133-146. https://doi.org/10.1016/S0169-2607(00)00082-1