Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms von Lones, Michael A.

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Evolving continuous optimisers from scratch von Lones, Michael A.

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Avoiding common machine learning pitfalls von Lones, Michael A.

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IoTDevID: A Behavior-Based Device Identification Method for the IoT von Kostas, Kahraman, Just, Mike, Lones, Michael A.

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Using echo state networks for classification: A case study in Parkinson's disease diagnosis von Lacy, Stuart E., Smith, Stephen L., Lones, Michael A.

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Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease von Hughes, Gideon L, Lones, Michael A, Bedder, Matthew, Currie, Peter D, Smith, Stephen L, Pownall, Mary Elizabeth

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Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks von Alissa, Mohamad, Lones, Michael A., Cosgrove, Jeremy, Alty, Jane E., Jamieson, Stuart, Smith, Stephen L., Vallejo, Marta

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An in-depth review of machine learning based Android malware detection von Muzaffar, Ali, Ragab Hassen, Hani, Lones, Michael A., Zantout, Hind

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Significant cognitive decline in Parkinson's disease exacerbates the reliance on visual feedback during upper limb reaches von Cosgrove, Jeremy, Hinder, Mark R., St George, Rebecca J., Picardi, Chiara, Smith, Stephen L., Lones, Michael A., Jamieson, Stuart, Alty, Jane E.

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Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients von Lones, Michael A., Smith, Stephen L., Alty, Jane E., Lacy, Stuart E., Possin, Katherine L., Jamieson, D. R. Stuart, Tyrrell, Andy M.

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Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification von Turner, Alexander P., Caves, Leo S. D., Stepney, Susan, Tyrrell, Andy M., Lones, Michael A.

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REFORMS: Consensus-based Recommendations for Machine-learning-based Science von Kapoor, Sayash, Cantrell, Emily M, Peng, Kenny, Pham, Thanh Hien, Bail, Christopher A, Gundersen, Odd Erik, Hofman, Jake M, Hullman, Jessica, Lones, Michael A, Malik, Momin M, Nanayakkara, Priyanka, Poldrack, Russell A, Raji, Inioluwa Deborah, Roberts, Michael, Salganik, Matthew J, Serra-Garcia, Marta, Stewart, Brandon M, Vandewiele, Gilles, Narayanan, Arvind

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Objective assessment of bradykinesia in Parkinson's disease using evolutionary algorithms: clinical validation von Gao, Chao, Smith, Stephen, Lones, Michael, Jamieson, Stuart, Alty, Jane, Cosgrove, Jeremy, Zhang, Pingchen, Liu, Jin, Chen, Yimeng, Du, Juanjuan, Cui, Shishuang, Zhou, Haiyan, Chen, Shengdi

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A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia von Lones, Michael A., Alty, Jane E., Cosgrove, Jeremy, Duggan-Carter, Philippa, Jamieson, Stuart, Naylor, Rebecca F., Turner, Andrew J., Smith, Stephen L.

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A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys von Ranieri, Caetano M., Pimentel, Jhielson M., Romano, Marcelo R., Elias, Leonardo A., Romero, Roseli A. F., Lones, Michael A., Araujo, Mariana F. P., Vargas, Patricia A., Moioli, Renan C.

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Potential for Raman spectroscopy to provide cancer screening using a peripheral blood sample von Harris, Andrew T, Lungari, Anxhela, Needham, Christopher J, Smith, Stephen L, Lones, Michael A, Fisher, Sheila E, Yang, Xuebin B, Cooper, Nicola, Kirkham, Jennifer, Smith, D Alastair, Martin-Hirsch, Dominic P, High, Alec S

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Regulatory Motif Discovery Using a Population Clustering Evolutionary Algorithm von Lones, M.A., Tyrrell, A.M.

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Optimising Boolean Synthetic Regulatory Networks to Control Cell States von Taou, Nadia, Lones, Michael

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Information Processing in Cells and Tissues: 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings von Lones, Michael A, Tyrrell, Andy, Smith, Stephen, Fogel, Gary

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2015 Information Processing in Cells and Tissues (IPCAT 2015) von Tyrrell, Andy M., Lones, Michael A., Smith, Stephen L., Fogel, Gary B.

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