Outputs (80)

On surface wave fields arising in soil-structure interaction problems (2017)
Journal Article
Ege, N., Erbas, B., Chorozoglou, A., Kaplunov, J., & Prikazchikov, D. A. (2017). On surface wave fields arising in soil-structure interaction problems. Procedia Engineering, 199, 2366 -2371. https://doi.org/10.1016/j.proeng.2017.09.253

Abstract The paper aims at generalization of the specialized formulation, originally developed for the surface wave fields induced by prescribed surface stresses. We extend this formulation to soil-structure interaction problems with unknown contact... Read More about On surface wave fields arising in soil-structure interaction problems.

I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization (2017)
Presentation / Conference Contribution
Molino, A., Mandal, B., Jie, L., Lim, J.-H., Subbaraju, V., & Chandrasekhar, V. I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization

In this paper we describe our approach for the ImageCLEF-lifelog summarization task. A total of ten runs were submitted, which used only visual features, only metadata information, or both. In the first step, a set of relevant frames are drawn from t... Read More about I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization.

Fast blur detection and parametric deconvolution of retinal fundus images (2017)
Presentation / Conference Contribution
Williams, B. M., Al-Bander, B., Pratt, H., Lawman, S., Zhao, Y., Zheng, Y., & Shen, Y. (2017, September). Fast blur detection and parametric deconvolution of retinal fundus images. Presented at International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada

Blur is a significant problem in medical imaging which can hinder diagnosis and prevent further automated or manual processing. The problem of restoring an image from blur degradation remains a challenging task in image processing. Semi-blind deblurr... Read More about Fast blur detection and parametric deconvolution of retinal fundus images.

Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer (2017)
Presentation / Conference Contribution
Butcher, J. B., Rutter, A. V., Wootton, A. J., Day, C. R., & Sulé-Suso, J. (2017, September). Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer. Presented at 17th Annual UK Workshop on Computational Intelligence, Cardiff, Wales, UK

Lung cancer is a widespread disease and it is well understood that systematic, non-invasive and early detection of this progressive and life-threatening disorder is of vital importance for patient outcomes. In this work we present a convergence of fa... Read More about Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer.

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.

Critical Mutation Rate in a Population with Horizontal Gene Transfer (2017)
Book Chapter
Channon. (2017). Critical Mutation Rate in a Population with Horizontal Gene Transfer. In Proceedings of ECAL 2017: the 14th European Conference on Artificial Life (446-453). https://doi.org/10.7551/ecal_a_074

Horizontal gene transfer (HGT) enables segments of DNA to be transferred between individuals in a population in addition to from parent to child. It is a prominent process in bacterial reproduction. Existing in silico models have succeeded in predict... Read More about Critical Mutation Rate in a Population with Horizontal Gene Transfer.

Towards Accurate Predictions of Customer Purchasing Patterns (2017)
Presentation / Conference Contribution
Valero-Fernandez, R., Collins, D. J., Lam, K., Rigby, C., & Bailey, J. (2017, August). Towards Accurate Predictions of Customer Purchasing Patterns. Presented at 2017 IEEE International Conference on Computer and Information Technology (CIT), Helsinki, Finland

A range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most relate... Read More about Towards Accurate Predictions of Customer Purchasing Patterns.

An empirical approach for automatic face clustering on personal lifelogging images (2017)
Presentation / Conference Contribution
Subbaraju, V., Xu, Q., Mandal, B., Li, L., & Lim, J.-H. (2017, August). An empirical approach for automatic face clustering on personal lifelogging images. Presented at 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), Singapore

Life-logging applications generate a vast amount of personalized data that provides vital insights into the user's daily life. One such key insight is the people whom the user has come across/interacted with during regular life. This can be obtained... Read More about An empirical approach for automatic face clustering on personal lifelogging images.

Spontaneous mutation rate is a plastic trait associated with population density across domains of life. (2017)
Journal Article
Aston, E., McBain, A., Knight, C., Krašovec, R., Richards, H., Hatcher, C., Faulkner, K., Belavkin, R., Channon, A., & Gifford, D. (2017). Spontaneous mutation rate is a plastic trait associated with population density across domains of life. PLoS Biology, e2002731 - ?. https://doi.org/10.1371/journal.pbio.2002731

Rates of random, spontaneous mutation can vary plastically, dependent upon the environment. Such plasticity affects evolutionary trajectories and may be adaptive. We recently identified an inverse plastic association between mutation rate and populat... Read More about Spontaneous mutation rate is a plastic trait associated with population density across domains of life..