Improving the adaptation process for a new smart home user

Conference paper


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
TypeConference paper
TitleImproving the adaptation process for a new smart home user
AuthorsAli, S., Augusto, J. and Windridge, D.
Abstract

Artificial Intelligence (AI) has been around for many years and plays a vital role in developing automatic systems that require decision using a data- or model-driven approach. Smart homes are one such system; in them, AI is used to recognize user activities, which is a fundamental task in smart home system design.There are many approaches to this challenge, but data-driven activity recognition approaches are currently perceived the most promising to address the sensor selection uncertainty problem. However, a smart home using a data-driven approach exclusively cannot immediately provide its new occupant with the expected functionality, which has reduced the popularity of the datadriven approach. This paper proposes an approach to develop an integrated personalized system using a user-centric approach comprising survey, simulation, activity recognition and transfer learning. This system will optimize the behaviour of the house using information from the user’s experience and provide required services. The proposed approach has been implemented in a smart home and validated with actual users. The validation results indicate that users benefited from smart features as soon as they move into the new home

KeywordsSmart home; User adaptation; Activity recognition; Transfer learning
Research GroupResearch Group on Development of Intelligent Environments
Conference39th SGAI International Conference on Artificial Intelligence
Proceedings Title Artificial Intelligence XXXVI 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings
SeriesLecture Notes in Artificial Intelligence
EditorsBramer, M. and Petridis, M.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783030348847
Electronic9783030348854
PublisherSpringer
Publication dates
Online19 Nov 2019
Publication process dates
Deposited18 Oct 2019
Submitted06 Jul 2019
Accepted11 Sep 2019
Output statusPublished
Accepted author manuscript
Copyright Statement

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-34885-4_32

Additional information

Paper published as:
Ali S.M.M., Augusto J.C., Windridge D. (2019) Improving the Adaptation Process for a New Smart Home User. In: Bramer M., Petridis M. (eds) Artificial Intelligence XXXVI. SGAI 2019. Lecture Notes in Computer Science, vol 11927. Springer, Cham

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-34885-4_32
Web of Science identifierWOS:000582555200032
Web address (URL) of conference proceedingshttps://doi.org/10.1007/978-3-030-34885-4
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/8888z

Download files


Accepted author manuscript
  • 139
    total views
  • 35
    total downloads
  • 6
    views this month
  • 5
    downloads this month

Export as

Related outputs

A language-guided latent diffusion approach to visual attribution in medical imaging
Siddiqui, A. A., Tirunagari, S., Zia, T. and Windridge, D. 2024. A language-guided latent diffusion approach to visual attribution in medical imaging. Scientific Reports. https://doi.org/10.1038/s41598-024-81646-x
Quantum enhanced knowledge distillation
Simone, P., Lavagna, L., De Falco, F,, Ceschini, A., Rosato, A., Windridge, D. and Panella, M. 2024. Quantum enhanced knowledge distillation. Quantum Techniques in Machine Learning 2024 Conference. Melbourne, Australia 24 - 29 Nov 2024
Generating data in an intelligent environment and systematically predicting user activity via bluetooth low energy beacons and machine learning
Benedict. S., Augusto, J. and Kacar. O. 2024. Generating data in an intelligent environment and systematically predicting user activity via bluetooth low energy beacons and machine learning. Hornos, M., Slapničar, G. and Yu, J. (ed.) 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 IOS Press. pp. 158-163 https://doi.org/10.3233/AISE240030
Gaining insight into user behaviour and systematically determing user location via Bluetooth low energy beacon optimisation
Benedict, S., Augusto, J. and Kacar. O. 2024. Gaining insight into user behaviour and systematically determing user location via Bluetooth low energy beacon optimisation. 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 IEEE. https://doi.org/10.1109/IE61493.2024.10599920
Towards engineering higher quality intelligent environments: a multi case study approach
Santokhee, A., Augusto, J. and Brodie, L. 2024. Towards engineering higher quality intelligent environments: a multi case study approach. Software Quality Journal. 32 (3), pp. 1075-1135. https://doi.org/10.1007/s11219-024-09678-0
An evolutionary approach to automated class-specific data augmentation for image classification
Marc, S., Belavkin, R., Windridge, D. and Gao, X. 2024. An evolutionary approach to automated class-specific data augmentation for image classification. Moosaei, H., Hladík, M. and Pardalos, P. (ed.) 6th International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Dec 2023 Springer. pp. 170–185 https://doi.org/10.1007/978-3-031-50320-7_12
Faithful Counterfactual Visual Explanations (FCVE)
Khan, B., Tariq, S., Zia, T., Ahsan, M. and Windridge, D. 2024. Faithful Counterfactual Visual Explanations (FCVE). Knowledge-Based Systems. 294. https://doi.org/10.1016/j.knosys.2024.111668
Taxonomy and software architecture for real-time context-aware collaborative smart environments
Bazan-Muñoz, A., Ortiz, G., Augusto, J. C. and Garcia-de-Prado, A. 2024. Taxonomy and software architecture for real-time context-aware collaborative smart environments. Internet of Things. 26. https://doi.org/10.1016/j.iot.2024.101160
Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application
Fatima, S., Augusto, J., Moseley, R., Urbonas, P., Elliott, A. and Payne, N. 2023. Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application. Entertainment Computing. 46. https://doi.org/10.1016/j.entcom.2023.100571
Resource saving via ensemble techniques for quantum neural networks
Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S. and Windridge, D. 2023. Resource saving via ensemble techniques for quantum neural networks. Quantum Machine Intelligence. 5 (2). https://doi.org/10.1007/s42484-023-00126-z
A topological features based quantum kernel
Incudini, M., Martini, F., Di Pierro, A. and Windridge, D. 2023. A topological features based quantum kernel. 7th International Conference on Quantum Techniques in Machine Learning. CERN, Geneva 19 - 24 Nov 2023
Interpretable chronic kidney disease risk prediction from clinical data using machine learning
Chennareddy, V., Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Interpretable chronic kidney disease risk prediction from clinical data using machine learning. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_63
Addressing challenges in healthcare big data analytics
Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Addressing challenges in healthcare big data analytics. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_70
Visual attribution using Adversarial Latent Transformations
Zia, T., Wahab, A., Windridge, D., Tirunagari, S. and Bhatti, N. 2023. Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. https://doi.org/10.1016/j.compbiomed.2023.107521
Deep combination of radar with optical data for gesture recognition: role of attention in fusion architectures
Towakel, P., Windridge, D. and Nguyen, H. 2023. Deep combination of radar with optical data for gesture recognition: role of attention in fusion architectures. IEEE Transactions on Instrumentation and Measurement. 72, pp. 1-15. https://doi.org/10.1109/TIM.2023.3307768
The quantum path kernel: A generalized neural tangent kernel for deep quantum machine learning
Incudini, M., Grossi, M., Mandarino, A., Vallecorsa, S., Di Pierro, A. and Windridge, D. 2023. The quantum path kernel: A generalized neural tangent kernel for deep quantum machine learning. IEEE Transactions on Quantum Engineering. 4. https://doi.org/10.1109/TQE.2023.3287736
Pediatrics in artificial intelligence era: A systematic review on challenges, opportunities, and explainability
Balla, Y., Tirunagari, S. and Windridge, D. 2023. Pediatrics in artificial intelligence era: A systematic review on challenges, opportunities, and explainability. Indian Pediatrics. 60 (7), pp. 561-569. https://doi.org/10.1007/s13312-023-2936-8
Resource saving via ensemble techniques for quantum neural networks
Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S. and Windridge, D. 2023. Resource saving via ensemble techniques for quantum neural networks. https://doi.org/10.48550/arXiv.2303.11283
Reducing the dependency of having prior domain knowledge for effective online information retrieval
Zammit, O., Smith, S., Windridge, D. and De Raffaele, C. 2023. Reducing the dependency of having prior domain knowledge for effective online information retrieval. Expert Systems. 40 (4). https://doi.org/10.1111/exsy.13014
A user-guided personalization methodology to facilitate new smart home occupancy
Ali, S.M.M., Augusto, J., Windridge, D. and Ward, E. 2023. A user-guided personalization methodology to facilitate new smart home occupancy. Universal Access in the Information Society. 22 (3), pp. 869-891. https://doi.org/10.1007/s10209-022-00883-x
Quality traceability for user-centric context-aware systems in intelligent environments
Sakanga, N., Augusto, J., Brodie, L. and Marzano, L. 2022. Quality traceability for user-centric context-aware systems in intelligent environments. Work-07: Digital Innovation for people well-being: Healthcare and Agriculture perspectives . Yokohama, Japan 07 Nov 2022 IEEE. https://doi.org/10.1109/WF-IoT54382.2022.10152209
Gamification for healthier lifestyle – user retention
Fatima, S., Augusto, J., Moseley, R. and Urbonas, P. 2022. Gamification for healthier lifestyle – user retention. 3rd Workshop on Smart Data Integration and Processing on Service Based Environments (STRAPS 2021). Dubai, UAE 22 Nov 2021 Springer. pp. 217-227 https://doi.org/10.1007/978-3-031-14135-5_17
VANT-GAN: adversarial learning for discrepancy-based visual attribution in medical imaging
Zia, T., Murtaza, S., Bhatti, N., Windridge, D. and Nisar, Z. 2022. VANT-GAN: adversarial learning for discrepancy-based visual attribution in medical imaging. Pattern Recognition Letters. 156, pp. 112-118. https://doi.org/10.1016/j.patrec.2022.02.005
The quantum path kernel: A generalized quantum neural tangent kernel for deep quantum machine learning
Incudini, M., Grossi, M., Mandarino, A., Vallecorsa, S., Di Pierro, A. and Windridge, D. 2022. The quantum path kernel: A generalized quantum neural tangent kernel for deep quantum machine learning. https://doi.org/10.48550/arXiv.2212.11826
Discriminator-based adversarial networks for knowledge graph completion
Tubaishat, A., Zia, T., Faiz, R., Al Obediat, F., Shah, B. and Windridge, D. 2022. Discriminator-based adversarial networks for knowledge graph completion. Neural Computing and Applications. https://doi.org/10.1007/s00521-022-07680-w
Introduction to the Proceedings of WoRIE’22
Rodríguez-Domínguez, C., Santokhee, A., Hornos, M. and Augusto, J. 2022. Introduction to the Proceedings of WoRIE’22. in: Alvarez Valera, H. and Luštrek, M. (ed.) Intelligent Environments 2022: Workshops at 18th International Conference on Intelligent Environments (IE2022) IOS Press.
Engineering context updates
Augusto, J. 2022. Engineering context updates. 5th Citizen-Centric Smart Cities Services (CCSCS'2022) Workshop. Biarritz, France 20 - 21 Jun 2022 IOS Press. pp. 293-301 https://doi.org/10.3233/aise220056
A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk
Nwegbu, N., Tirunagari, S. and Windridge, D. 2022. A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk. Scientific Reports. 12 (1), pp. 1-16. https://doi.org/10.1038/s41598-022-08757-1
Contexts and context-awareness revisited from an intelligent environments perspective
Augusto, J. 2022. Contexts and context-awareness revisited from an intelligent environments perspective. Applied Artificial Intelligence. 36 (1), pp. 694-725. https://doi.org/10.1080/08839514.2021.2008644
AnAbEL: Towards empowering people living with dementia in ambient assisted living
Gimenez Manuel, J., Augusto, J. and Stewart, J. 2022. AnAbEL: Towards empowering people living with dementia in ambient assisted living. Universal Access in the Information Society. 21 (2), pp. 457-476. https://doi.org/10.1007/s10209-020-00760-5
The Life-cycle of artificial contexts
Augusto, J. and Dickins, T. 2021. The Life-cycle of artificial contexts. Modeling and Using Context. 4 (Sp Iss), pp. 1-7. https://doi.org/10.21494/ISTE.OP.2021.0685
Smart cities: state of the art and future challenges
Augusto, J. 2021. Smart cities: state of the art and future challenges. in: Augusto, J. (ed.) Handbook of Smart Cities Cham, Switzerland Springer Nature. pp. 1693-1702
A generative adversarial network for single and multi-hop distributional knowledge base completion
Zia, T. and Windridge, D. 2021. A generative adversarial network for single and multi-hop distributional knowledge base completion. Neurocomputing. 461, pp. 543-551. https://doi.org/10.1016/j.neucom.2021.04.128
Multi-view convolutional recurrent neural networks for lung cancer nodule identification
Naeem Abid, M., Zia, T., Ghafoor, M. and Windridge, D. 2021. Multi-view convolutional recurrent neural networks for lung cancer nodule identification. Neurocomputing. 453, pp. 299-311. https://doi.org/10.1016/j.neucom.2020.06.144
Context-aware support for cardiac health monitoring using federated machine learning
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2021. Context-aware support for cardiac health monitoring using federated machine learning. Bramer, M. and Ellis, R. (ed.) 41st SGAI International Conference on Artificial Intelligence (AI-2021). Cambridge, England [Online] 14 - 16 Dec 2021 Springer. pp. 267-281 https://doi.org/10.1007/978-3-030-91100-3_22
Introduction to the Proceedings of WoRIE’21
Rodríguez-Domínguez, C., Santokhee, A., Hornos, M. and Augusto, J. 2021. Introduction to the Proceedings of WoRIE’21. in: Bashir, E. and Luštrek, M. (ed.) Intelligent Environments 2021: Workshop Proceedings of the 17th International Conference on Intelligent Environments IOS Press.
A smart campus template
Augusto, J. 2021. A smart campus template. Bashir, E. and Luštrek, M. (ed.) 3rd International Workshop on Intelligent Environments and Buildings (IEB’21). Virtual Event 21 Jun 2021 IOS Press. pp. 71-80 https://doi.org/10.3233/aise210083
Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation
Navidan, H., Moshiri, P., Nabati, M., Shahbazian, R., Ghorashi, S., Shah-Mansouri, V. and Windridge, D. 2021. Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. Computer Networks. 194, pp. 1-21. https://doi.org/10.1016/j.comnet.2021.108149
Using argumentation to solve conflicting situations in users' preferences in ambient assisted living
Oguego, C., Augusto, J., Springett, M., Quinde, M. and James-Reynolds, C. 2021. Using argumentation to solve conflicting situations in users' preferences in ambient assisted living. Applied Artificial Intelligence. 35 (15), pp. 2327-2369. https://doi.org/10.1080/08839514.2021.1966986
Using technology to encourage a healthier lifestyle in people with Down's syndrome
Mohammedi, A. and Augusto, J. 2021. Using technology to encourage a healthier lifestyle in people with Down's syndrome. Universal Access in the Information Society. 20 (2), pp. 343-358. https://doi.org/10.1007/s10209-020-00721-y
A genetic deep learning model for electrophysiological soft robotics
Pandey, H. and Windridge, D. 2021. A genetic deep learning model for electrophysiological soft robotics. Balas, V., Jain, L., Balas, M. and Shahbazova, S. (ed.) 8th International Workshop on Soft Computing Applications. Arad, Romania 13 - 15 Sep 2018 Cham Springer. https://doi.org/10.1007/978-3-030-51992-6_12
Exposing students to new terminologies while collecting browsing search data (best technical paper)
Zammit, O., Smith, S., Windridge, D. and De Raffaele, C. 2020. Exposing students to new terminologies while collecting browsing search data (best technical paper). 40th SGAI International Conference on Artificial Intelligence, AI 2020. Cambridge, UK 15 - 17 Dec 2020 Cham Springer. https://doi.org/10.1007/978-3-030-63799-6_1
Context-aware systems architecture (CaSA)
Augusto, J., Quinde, M., Oguego, C. and Gimenez Manuel, J. 2022. Context-aware systems architecture (CaSA). Cybernetics and Systems. 53 (4), pp. 319-345. https://doi.org/10.1080/01969722.2021.1985226
Achieving multi-user capabilities through an indoor positioning system based on BLE beacons
Quinde, M., Gimenez Manuel, J., Oguego, C. and Augusto, J. 2020. Achieving multi-user capabilities through an indoor positioning system based on BLE beacons. IE2020: Intelligent Environments. Madrid, Spain 20 - 23 Jul 2020 Institute of Electrical and Electronics Engineers (IEEE). pp. 13-20
Context-aware approach for cardiac rehabilitation monitoring
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2020. Context-aware approach for cardiac rehabilitation monitoring. Iglesias, C., Novella, J., Ricci, A., Pinto, D. and Roman, D. (ed.) 4th International Workshop on Citizen-Centric Smart Cities Services (CCSCS 2020). Madrid, Spain 22 - 23 Jun 2020 IOS Press. pp. 167-176 https://doi.org/10.3233/AISE200039
Managing preference profiles in multi-user intelligent environments
Augusto, J. and Muñoz, A. 2020. Managing preference profiles in multi-user intelligent environments. Iglesias, C., Novella, J., Ricci, A., Pinto, D. and Roman, D. (ed.) 4th International Workshop on Citizen-Centric Smart Cities Services (CCSCS 2020). Madrid, Spain 22 - 23 Jun 2020 IOS Press. pp. 217-226 https://doi.org/10.3233/AISE200044
On the utility of dreaming: a general model for how learning in artificial agents can benefit from data hallucination
Windridge, D., Svensson, H. and Thill, S. 2021. On the utility of dreaming: a general model for how learning in artificial agents can benefit from data hallucination. Adaptive Behavior. 29 (3), pp. 267-280. https://doi.org/10.1177/1059712319896489
An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning
Attfield, S., Fields, B., Windridge, D. and Xu, K. 2019. An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning. Conrad, J., Pickens, J., Jones, A., Baron, J. and Henseler, H. (ed.) First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019).. Montreal, Canada 17 Jun 2019 CEUR Workshop Proceedings. pp. 7-11
Epileptic seizure detection using constrained singular spectrum analysis and 1D-local binary patterns
Ramanna, S., Tirunagari, S. and Windridge, D. 2020. Epileptic seizure detection using constrained singular spectrum analysis and 1D-local binary patterns. Health and Technology. 10 (3), pp. 699-709. https://doi.org/10.1007/s12553-019-00395-4
Editorial to special issue on hybrid artificial intelligence and machine learning technologies in intelligent systems
Pandey, H., Bessis, N., Das, S., Windridge, D. and Chaudhary, A. 2020. Editorial to special issue on hybrid artificial intelligence and machine learning technologies in intelligent systems. Neural Computing and Applications. 32 (12), pp. 7743-7745. https://doi.org/10.1007/s00521-020-04903-w
A low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems
Sazdar, A.M., Ghorashi, S.A., Moghtadaiee, V., Khonsari, A. and Windridge, D. 2020. A low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems. Journal of Information Security and Applications. 53. https://doi.org/10.1016/j.jisa.2020.102515
Context-aware system for cardiac condition monitoring and management: a survey
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2020. Context-aware system for cardiac condition monitoring and management: a survey. Behaviour and Information Technology. 41 (4), pp. 759-776. https://doi.org/10.1080/0144929X.2020.1836255
ADAPT: Approach to Develop context-Aware solutions for Personalised asthma managemenT
Quinde, M., Augusto, J., Khan, N. and Van Wyk, A. 2020. ADAPT: Approach to Develop context-Aware solutions for Personalised asthma managemenT. Journal of Biomedical Informatics. 111, pp. 1-20. https://doi.org/10.1016/j.jbi.2020.103586
5G smart and innovative healthcare services: opportunities, challenges and prospective solutions
Bekaroo, G., Santokhee, A. and Augusto, J. 2020. 5G smart and innovative healthcare services: opportunities, challenges and prospective solutions. in: Bojkovic, Z., Milovanovic, D. and Fowdur, T. (ed.) 5G Multimedia Communication Technology, Multiservices, and Deployment Boca Raton CRC Press. pp. 279-297
A smart environments architecture (Search)
Augusto, J., Gimenez Manuel, J., Quinde, M., Oguego, C., Ali, M. and James-Reynolds, C. 2020. A smart environments architecture (Search). Applied Artificial Intelligence. 34 (2), pp. 155-186. https://doi.org/10.1080/08839514.2020.1712778
Context-aware solutions for asthma condition management: a survey
Quinde, M., Khan, N., Augusto, J., Van Wyk, A. and Stewart, J. 2020. Context-aware solutions for asthma condition management: a survey. Universal Access in the Information Society. 19 (3), pp. 571-593. https://doi.org/10.1007/s10209-018-0641-5
Assessing vulnerabilities in IoT-based ambient assisted living systems
Cristescu, I., Gimenez Manuel, J. and Augusto, J. 2020. Assessing vulnerabilities in IoT-based ambient assisted living systems. in: Hernaandez Ramos, J. and Skarmeta, A. (ed.) Security and privacy in Internet of Things: challenges and solutions IOS Press.
Revisiting direct neuralisation of first-order logic
Gunn, I. and Windridge, D. 2018. Revisiting direct neuralisation of first-order logic. NeSy 2018 : Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning. Prague, Czech Republic 23 - 24 Aug 2018
A generative adversarial strategy for modeling relation paths in knowledge base representation learning
Zia, T., Zahid, U. and Windridge, D. 2019. A generative adversarial strategy for modeling relation paths in knowledge base representation learning. KR2ML - Knowledge Representation and Reasoning Meets Machine Learning Workshop, NeurIPS 2019, Thirty-third Conference on Neural Information Processing Systems. Vancouver, Canada 09 - 14 Dec 2019
Managing multi-user smart environments through BLE based system
Sora, D. and Augusto, J. 2018. Managing multi-user smart environments through BLE based system. Chatzigiannakis, I., Tobe, Y., Novais, P. and Amft, O. (ed.) 3rd International Workshop on Smart Sensing Systems (IWSSS'18). Rome, Italy 25 - 28 Jun 2018 IOS Press. pp. 234-244 https://doi.org/10.3233/978-1-61499-874-7-234
Fully-automated identification of imaging biomarkers for post-operative cerebellar mutism syndrome using longitudinal paediatric MRI
Spiteri, M., Guillemaut, J., Windridge, D., Avula, S., Kumar, R. and Lewis, E. 2020. Fully-automated identification of imaging biomarkers for post-operative cerebellar mutism syndrome using longitudinal paediatric MRI. Neuroinformatics. 18 (1), pp. 151-162. https://doi.org/10.1007/s12021-019-09427-w
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
A family of globally optimal branch-and-bound algorithms for 2D–3D correspondence-free registration
Brown, M., Windridge, D. and Guillemaut, J. 2019. A family of globally optimal branch-and-bound algorithms for 2D–3D correspondence-free registration. Pattern Recognition. 93, pp. 36-54. https://doi.org/10.1016/j.patcog.2019.04.002
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
A comprehensive classification of deep learning libraries
Pandey, H. and Windridge, D. 2019. A comprehensive classification of deep learning libraries. Yang, X.S., Sherratt, S., Dey, N. and Joshi, A. (ed.) 3rd International Congress on Information and Communication Technology. London, UK 27 - 28 Feb 2018 Singapore Springer. pp. 427-435 https://doi.org/10.1007/978-981-13-1165-9_40
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
Edit distance Kernelization of NP theorem proving for polynomial-time machine learning of proof heuristics
Windridge, D. and Kammueller, F. 2020. Edit distance Kernelization of NP theorem proving for polynomial-time machine learning of proof heuristics. FICC 2019: Future of Information and Communications Conference. San Francisco, USA 14 - 15 Mar 2019 Springer. pp. 271-283 https://doi.org/10.1007/978-3-030-12385-7_22
Criminal pattern identification based on modified K-means clustering
Aljrees, T., Shi, D., Windridge, D. and Wong, B. 2016. Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics (ICMLC). 2, pp. 799-806. https://doi.org/10.1109/ICMLC.2016.7872990
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
On the intrinsic limits to representationally-adaptive machine-learning
Windridge, D. 2015. On the intrinsic limits to representationally-adaptive machine-learning. ArXiv e-prints.
Proteomic identification and characterization of hepatic glyoxalase 1 dysregulation in non-alcoholic fatty liver disease
Spanos, C., Maldonado, E., Fisher, C., Leenutaphong, P., Oviedo-Orta, E., Windridge, D. and Salguero, F. 2018. Proteomic identification and characterization of hepatic glyoxalase 1 dysregulation in non-alcoholic fatty liver disease. Proteome Science. 16 (1). https://doi.org/10.1186/s12953-018-0131-y
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
Data governance in the health industry: investigating data quality dimensions within a big data context
Juddoo, S., George, C., Duquenoy, P. and Windridge, D. 2018. Data governance in the health industry: investigating data quality dimensions within a big data context. Applied System Innovation. 1 (4), pp. 1-16. https://doi.org/10.3390/asi1040043
Quantum error-correcting output codes
Windridge, D., Mengoni, R. and Nagarajan, R. 2018. Quantum error-correcting output codes. International Journal of Quantum Information. 16 (8). https://doi.org/10.1142/S0219749918400038
Representational fluidity in embodied (artificial) cognition
Windridge, D. and Thill, S. 2018. Representational fluidity in embodied (artificial) cognition. Biosystems. 172, pp. 9-17. https://doi.org/10.1016/j.biosystems.2018.07.007
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
An improved block matching algorithm for motion estimation in video sequences and application in robotics
Bhattacharjee, K., Kumar, S., Pandey, H., Pant, M., Windridge, D. and Chaudhary, A. 2018. An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers & Electrical Engineering. 68, pp. 92-106. https://doi.org/10.1016/j.compeleceng.2018.03.045
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
Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines
Attfield, S., Hewitt, D., Xu, K., Passmore, P., Wagstaff, A., Phillips, G., Windridge, D., Dash, G., Chapman, R. and Mason, L. 2016. Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines. IEEE VAST Challenge 2016. Baltimore, MD, USA 23 Oct 2016
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
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
Quantum Bootstrap Aggregation
Windridge, D. and Nagarajan, R. 2017. Quantum Bootstrap Aggregation. de Barros, J., Coecke, B. and Pothos, E. (ed.) Quantum Interaction. San Francisco, CA, USA 20 - 22 Jul 2016 Springer. pp. 115-121 https://doi.org/10.1007/978-3-319-52289-0_9
Hamming distance kernelisation via topological quantum computation
Di Pierro, A., Mengoni, R., Nagarajan, R. and Windridge, D. 2017. Hamming distance kernelisation via topological quantum computation. Martín-Vide C., Neruda R. and Vega-Rodríguez M. (ed.) 6th International Conference on the Theory and Practice of Natural Computing. Prague, Czech Republic 18 - 20 Dec 2017 Springer. pp. 269-280 https://doi.org/10.1007/978-3-319-71069-3_21
Emergent intentionality in perception-action subsumption hierarchies
Windridge, D. 2017. Emergent intentionality in perception-action subsumption hierarchies. Frontiers in Robotics and AI. 4. https://doi.org/10.3389/frobt.2017.00038
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
Tirunagari, S., Poh, N., Wells, K., Bober, M., Gorden, I. and Windridge, D. 2017. Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications. 28 (3-4), pp. 393-407. https://doi.org/10.1007/s00138-017-0835-5
A generalised framework for saliency-based point feature detection
Brown, M., Windridge, D. and Guillemaut, J. 2017. A generalised framework for saliency-based point feature detection. Computer Vision and Image Understanding. 157, pp. 117-137. https://doi.org/10.1016/j.cviu.2016.09.008
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
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
Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT
Juneja, P., Evans, P., Windridge, D. and Harris, E. 2016. Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT. BMC Medical Imaging. 16 (1). https://doi.org/10.1186/s12880-016-0107-2
Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration
Avula, S., Spiteri, M., Kumar, R., Lewis, E., Harave, S., Windridge, D., Ong, C. and Pizer, B. 2016. Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration. Quantitative Imaging in Medicine and Surgery. 6 (5), pp. 535-544. https://doi.org/10.21037/qims.2016.10.11
Criminal pattern identification based on modified K-means clustering
Aljrees, T., Shi, D., Windridge, D. and Wong, B. 2016. Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics. Jeju, South Korea 10 - 13 Jul 2016 IEEE. pp. 799-806 https://doi.org/10.1109/ICMLC.2016.7872990
Can DMD obtain a scene background in color?
Tirunagari, S., Poh, N., Bober, M. and Windridge, D. 2016. Can DMD obtain a scene background in color? 2016 International Conference on Image, Vision and Computing (ICIVC). Portsmouth, UK 03 - 05 Aug 2016 pp. 46-50 https://doi.org/10.1109/ICIVC.2016.7571272
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
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
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
Kernel combination via debiased object correspondence analysis
Windridge, D. and Yan, F. 2016. Kernel combination via debiased object correspondence analysis. Information Fusion. 27, pp. 228-239. https://doi.org/10.1016/j.inffus.2015.02.002
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
Advancing ambient assisted living with caution
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.
Identifying quantitative imaging features of posterior fossa syndrome in longitudinal MRI
Spiteri, M., Windridge, D., Avula, S., Kumar, R. and Lewis, E. 2015. Identifying quantitative imaging features of posterior fossa syndrome in longitudinal MRI. Journal of Medical Imaging. 2 (4), p. 044502. https://doi.org/10.1117/1.JMI.2.4.044502
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
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
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
Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses
Tirunagari, S., Poh, N., Hu, G. and Windridge, D. 2015. Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses. https://doi.org/10.48550/arXiv.1503.06316
Longitudinal MRI assessment: the identification of relevant features in the development of posterior fossa syndrome in children
Spiteri, M., Lewis, E., Windridge, D. and Avula, S. 2015. Longitudinal MRI assessment: the identification of relevant features in the development of posterior fossa syndrome in children. Medical imaging 2015: Computer-Aided Diagnosis. Orlando, Florida, United States 21 Feb 2015 Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2081591
Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics
Tirunagari, S., Poh, N., Bober, M. and Windridge, D. 2015. Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics. 2015 IEEE International Workshop on Information Forensics and Security (WIFS). Rome, Italy 16 - 19 Nov 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-6 https://doi.org/10.1109/WIFS.2015.7368599
Globally optimal 2D-3D registration from points or lines without correspondences
Brown, M., Windridge, D. and Guillemaut, J. 2015. Globally optimal 2D-3D registration from points or lines without correspondences. 2015 IEEE International Conference on Computer Vision (ICCV). Santiago, Chile 07 - 13 Dec 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 2111-2119 https://doi.org/10.1109/ICCV.2015.244
A generalisable framework for saliency-based line segment detection
Brown, M., Windridge, D. and Guillemaut, J. 2015. A generalisable framework for saliency-based line segment detection. Pattern Recognition. 48 (12), pp. 3993-4011. https://doi.org/10.1016/j.patcog.2015.06.015
A novel Markov logic rule induction strategy for characterizing sports video footage
Windridge, D., Kittler, J., De Campos, T., Yan, F., Christmas, W. and Khan, A. 2015. A novel Markov logic rule induction strategy for characterizing sports video footage. IEEE MultiMedia. 22 (2), pp. 24-35. https://doi.org/10.1109/MMUL.2014.36
Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems
Da Lio, M., Biral, F., Bertolazzi, E., Galvani, M., Bosetti, P., Windridge, D., Saroldi, A. and Tango, F. 2015. Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems. IEEE Transactions on Intelligent Transportation Systems. 16 (1), pp. 244-263. https://doi.org/10.1109/TITS.2014.2330199
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
Breast cancer data analytics with missing values: a study on ethnic, age and income groups
Tirunagari, S., Poh, N., Abdulrahman, H., Nemmour, N. and Windridge, D. 2015. Breast cancer data analytics with missing values: a study on ethnic, age and income groups. ArXiv e-prints: Quantitative Biology > Quantitative Methods. https://doi.org/10.48550/arXiv.1503.03680
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
Detection of face spoofing using visual dynamics
Tirunagari, S., Poh, N., Windridge, D., Iorliam, A., Suki, N. and Ho, A. 2015. Detection of face spoofing using visual dynamics. IEEE Transactions on Information Forensics and Security. 10 (4), pp. 762-777. https://doi.org/10.1109/TIFS.2015.2406533
Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation
Khan, A., Windridge, D. and Kittler, J. 2014. Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation. IEEE Transactions on Cybernetics. 44 (10), pp. 1910-1923. https://doi.org/10.1109/TCYB.2014.2299955
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
Domain anomaly detection in machine perception: a system architecture and taxonomy
Kittler, J., Christmas, W., De Campos, T., Windridge, D., Yan, F., Illingworth, J. and Osman, M. 2014. Domain anomaly detection in machine perception: a system architecture and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36 (5), pp. 845-859. https://doi.org/10.1109/TPAMI.2013.209
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
A saliency-based framework for 2D-3D registration
Brown, M., Guillemaut, J. and Windridge, D. 2014. A saliency-based framework for 2D-3D registration. 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014). Lisbon, Portugal 05 - 08 Jan 2014 SCITEPRESS - Science and Technology Publications. pp. 265-273 https://doi.org/10.5220/0004675402650273
Supervised selective kernel fusion for membrane protein prediction
Tatarchuk, A., Sulimova, V., Torshin, I., Mottl, V. and Windridge, D. 2014. Supervised selective kernel fusion for membrane protein prediction. Comin, M., Käll, L., Marchiori, E., Ngom, A. and Rajapakse, J. (ed.) 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014). Stockholm, Sweden 21 - 23 Aug 2014 Springer. pp. 98-109 https://doi.org/10.1007/978-3-319-09192-1_9
Challenges in designing an online healthcare platform for personalised patient analytics
Poh, N., Tirunagari, S. and Windridge, D. 2014. Challenges in designing an online healthcare platform for personalised patient analytics. 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD). Orlando, FL., USA 09 - 12 Dec 2014 IEEE. pp. 1-6 https://doi.org/10.1109/CIBD.2014.7011526
Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses
Tirunagari, S., Poh, N., Aliabadi, K., Windridge, D. and Cooke, D. 2014. Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Orlando, FL., USA 09 - 12 Dec 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 304-309 https://doi.org/10.1109/CIDM.2014.7008682
Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs
Chernousova, E., Levdik, P., Tatarchuk, A., Mottl, V. and Windridge, D. 2014. Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs. 22nd International Conference on Pattern Recognition ICPR 2014. Stockholm, Sweden 24 - 28 Aug 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 3654-3659 https://doi.org/10.1109/ICPR.2014.628
Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection
Chernousova, E., Razin, N., Krasotkina, O., Mottl, V. and Windridge, D. 2014. Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection. in: Aleskerov, F., Goldengorin, B. and Pardalos, P. (ed.) Clusters, Orders, and Trees: Methods and Applications: In Honor of Boris Mirkin's 70th Birthday New York Springer.
Automatic annotation of tennis games: an integration of audio, vision, and learning
Yan, F., Kittler, J., Windridge, D., Christmas, W., Mikolajczyk, K., Cox, S. and Huang, Q. 2014. Automatic annotation of tennis games: an integration of audio, vision, and learning. Image and Vision Computing. 32 (11), pp. 896-903. https://doi.org/10.1016/j.imavis.2014.08.004
A kernel-based framework for medical big-data analytics
Windridge, D. and Bober, M. 2014. A kernel-based framework for medical big-data analytics. in: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges Springer. pp. 197-208
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
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
High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP)
Abbey, C., Hope, C., Sterr, A., Elangovan, P., Geades, N., Windridge, D., Young, K., Wells, K. and Mello-Thoms, C. 2013. High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP). SPIE Proceedings Vol. 8673. https://doi.org/10.1117/12.2007557
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
Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene
Taya, S., Windridge, D. and Osman, M. 2012. Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene. PLoS ONE. 7 (6). https://doi.org/10.1371/journal.pone.0039060
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
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
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution
Poh, N., Windridge, D., Mottl, V., Tatarchuk, A. and Eliseyev, A. 2010. Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Transactions on Information Forensics and Security. 5 (3), pp. 461-469. https://doi.org/10.1109/TIFS.2010.2053535