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All Outputs (63)

Open-Ended Evolution in Cellular Automata Worlds (2017)
Presentation / Conference
(2017, September). Open-Ended Evolution in Cellular Automata Worlds. Presented at European Conference on Artificial Life, Lyon, France

Open-ended evolution is a fundamental issue in artificial life research. We consider biological and social systems as a flux of interacting components that transiently participate in interactions with other system components as part of these systems.... Read More about Open-Ended Evolution in Cellular Automata Worlds.

Lexicase Selection Outperforms Previous Strategies for Incremental Evolution of Virtual Creature Controllers (2017)
Presentation / Conference
(2017, September). Lexicase Selection Outperforms Previous Strategies for Incremental Evolution of Virtual Creature Controllers. Presented at ECAL 2017: 14th European Conference on Artificial Life, Lyon

Evolving robust behaviors for robots has proven to be a challenging problem. Determining how to optimize behavior for a specific instance, while also realizing behaviors that generalize to variations on the problem often requires highly customized al... Read More about Lexicase Selection Outperforms Previous Strategies for Incremental Evolution of Virtual Creature Controllers.

Standard Enabled Model Generator for Genetic Circuit Design (2017)
Presentation / Conference
Myers, C., Wipat, A., Misirli, G., Nguyen, T., & McLaughlin, J. (2017, August). Standard Enabled Model Generator for Genetic Circuit Design. Presented at 9th International Workshop on Bio-Design Automation, Pittsburgh

Searching the Past in the Future ? Joining Cuneiform Tablet Fragments in Virtual Collections (2017)
Presentation / Conference
Gehlken, E., Collins, T., Woolley, S. I., & Ch’ng, E. (2017, July). Searching the Past in the Future ? Joining Cuneiform Tablet Fragments in Virtual Collections. Paper presented at 63rd Rencontre Assyriologique Internationale, Philipps-Universität Marburg, Germany

Joining cuneiform tablet fragments are separated within and between collections worldwide. In previous work of the Virtual Cuneiform Tablet Reconstruction Project [VCTR, 2018], automated joins were achieved for virtual 3D Ur and Uruk fragments held w... Read More about Searching the Past in the Future ? Joining Cuneiform Tablet Fragments in Virtual Collections.

The Quantified Outpatient - Challenges and Opportunities in 24hr Patient Monitoring (2017)
Presentation / Conference
INFANTE SANCHEZ, D., WOOLLEY, S., COLLINS, T., PEMBERTON, P., VEENITH, T., HUME, D., …SMALL, C. (2017, April). The Quantified Outpatient - Challenges and Opportunities in 24hr Patient Monitoring. Poster presented at Informatics for Health 2017, Manchester

1. Introduction Patient monitoring systems capable of accurate recording in the real-world, during the activities of everyday living, can provide rich objective accounts of patient well-being that have broad application in clinical decision support.... Read More about The Quantified Outpatient - Challenges and Opportunities in 24hr Patient Monitoring.

Magnetic polarizability tensors for low frequency object classification and detection (2017)
Presentation / Conference
Ledger, P. D., & Lionheart, W. R. B. (2017, March). Magnetic polarizability tensors for low frequency object classification and detection. Paper presented at 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES), Florence

There is considerable interest in obtaining a low-cost mathematical description, which describes the interaction between a low frequency alternating magnetic field and a conducting object. Electrical engineers have proposed that the voltage perturbat... Read More about Magnetic polarizability tensors for low frequency object classification and detection.

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., & Zheng, Y. (2016, December). GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

From Uruk to Ur: Automated Matching of Virtual Tablet Fragments (2016)
Presentation / Conference
Gehlken, E., Collins, T., Woolley, S., Hanes, L., Lewis, A., Hernandez Munoz, L., & Ch’ng, E. (2016, July). From Uruk to Ur: Automated Matching of Virtual Tablet Fragments. Paper presented at 62nd Rencontre Assyriologique Internationale 2016, Ur in the Twenty-First Century CE, Philadelphia

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Parry, D., Leach, S., & Zheng, Y. (2016, June). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. Poster presented at 26th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec), Manchester, UK

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes. Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.

An investigation into the early detection of psychosis and depression in individuals via Social Media (Twitter) (2015)
Presentation / Conference
COLLINS EADE, A., DE QUINCEY, E., & FOSTER, J. (2015, October). An investigation into the early detection of psychosis and depression in individuals via Social Media (Twitter). Presented at 3rd GRF One Health Summit 2015, One Health, One Planet, One Future: Fostering interdisciplinary collaboration for global public and animal health, Davos, Switzerland

Improved Eigenfeature Regularization for Face Identification (2015)
Presentation / Conference
Mandal, B. (2015, September). Improved Eigenfeature Regularization for Face Identification. Paper presented at ICIP 2015 - IEEE International Conference on Image Processing

In this work, we propose to divide each class (a person) into subclasses using spatial partition trees which helps in better capturing the intra-personal variances arising from the appearances of the same individual. We perform a comprehensive analys... Read More about Improved Eigenfeature Regularization for Face Identification.

Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones (2015)
Presentation / Conference
Chia, S., Mandal, B., Xu, Q., Li, L., & Lim, J. (2015, August). Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. Poster presented at 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Copenhagen, Denmark

Wearable devices offer immense opportunities in both consumer and enterprise domains due to the hands-free interaction modality and the ability to provide information in real-time. However, due to hardware limitations, it presents a notable challenge... Read More about Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones.

Optimal mutation rate control under selection in hamming spaces (2015)
Presentation / Conference
Knight, C., Channon, A., Belavkin, R., Krasovec, R., & Aston, E. (2015, July). Optimal mutation rate control under selection in hamming spaces. Presented at Thirteenth European Conference on the Synthesis and Simulation of Living Systems (ECAL 2015), York