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446 results on '"DAVEY, NEIL"'

2. An automatic taxonomy of galaxy morphology using unsupervised machine learning

Author

Hocking, Alex, Geach, James E., Sun, Yi, and Davey, Neil

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches used in astronomy we use no pre-selection or pre-filtering of target galaxy type to identify galaxies that are similar. We demonstrate the technique on the HST Frontier Fields. By training the algorithm using galaxies from one field (Abell 2744) and applying the result to another (MACS0416.1-2403), we show how the algorithm can cleanly separate early and late type galaxies without any form of pre-directed training for what an 'early' or 'late' type galaxy is. We then apply the technique to the HST CANDELS fields, creating a catalogue of approximately 60,000 classifications. We show how the automatic classification groups galaxies of similar morphological (and photometric) type, and make the classifications public via a catalogue, a visual catalogue and galaxy similarity search. We compare the CANDELS machine-based classifications to human-based classifications from the Galaxy Zoo: CANDELS project. Although there is not a direct mapping between Galaxy Zoo and our hierarchical labelling, we demonstrate a good level of concordance between human and machine classifications. Finally, we show how the technique can be used to identify rarer objects and present new lensed galaxy candidates from the CANDELS imaging., Comment: 21 pages, 20 figures, accepted for publication in MNRAS. Code available at https://github.com/alexhock/galaxymorphology. This article is a substantially revised and expanded version of arXiv:1507.01589

Published
2017
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3. The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes

Author

Wakelam, Edward, Jefferies, Amanda, Davey, Neil, and Sun, Yi

Abstract

The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of failure/withdrawal. However, modern university environments, offering easy on-line availability of course material, may see reduced lecture/tutorial attendance, making such identification more challenging. Modern data mining and machine learning techniques provide increasingly accurate predictions of student examination assessment marks, although these approaches have focussed upon large student populations and wide ranges of data attributes per student. However, many university modules comprise relatively small student cohorts, with institutional protocols limiting the student attributes available for analysis. It appears that very little research attention has been devoted to this area of analysis and prediction. We describe an experiment conducted on a final-year university module student cohort of 23, where individual student data are limited to lecture/tutorial attendance, virtual learning environment accesses and intermediate assessments. We found potential for predicting individual student interim and final assessment marks in small student cohorts with very limited attributes and that these predictions could be useful to support module leaders in identifying students potentially "at risk."

Published
2020
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6. OVERCOMING PATENT BARRIERS TO INCREASE ACCESS TO MEDICINES: A NEW PATH FORWARD FOR COMPULSORY LICENSING.

Author

Davey, Neil

Subjects
Drugs -- Access control -- Intellectual property -- Laws, regulations and rules, Prescription pricing -- Laws, regulations and rules -- Management, Compulsory licensing of patents -- Laws, regulations and rules -- Management, Government regulation, Company business management, Agreement on Trade-Related Aspects of Intellectual Property Rights, Bayh-Dole Act
Abstract

TABLE OF CONTENTS I. INTRODUCTION 689 II. COMPULSORY LICENSING 691 A. Compulsory Licensing Abroad 692 1. Assessing the Potential of a TRIPS Waiver 695 2. Solving the Know-How Problem 696 [...]

Published
2022

7. Teaching a machine to see: unsupervised image segmentation and categorisation using growing neural gas and hierarchical clustering

Author

Hocking, Alex, Geach, James E., Davey, Neil, and Sun, Yi

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present a novel unsupervised learning approach to automatically segment and label images in astronomical surveys. Automation of this procedure will be essential as next-generation surveys enter the petabyte scale: data volumes will exceed the capability of even large crowd-sourced analyses. We demonstrate how a growing neural gas (GNG) can be used to encode the feature space of imaging data. When coupled with a technique called hierarchical clustering, imaging data can be automatically segmented and labelled by organising nodes in the GNG. The key distinction of unsupervised learning is that these labels need not be known prior to training, rather they are determined by the algorithm itself. Importantly, after training a network can be be presented with images it has never 'seen' before and provide consistent categorisation of features. As a proof-of-concept we demonstrate application on data from the Hubble Space Telescope Frontier Fields: images of clusters of galaxies containing a mixture of galaxy types that would easily be recognised and classified by a human inspector. By training the algorithm using one field (Abell 2744) and applying the result to another (MACS0416.1-2403), we show how the algorithm can cleanly separate image features that a human would associate with early and late type galaxies. We suggest that the algorithm has potential as a tool in the automatic analysis and data mining of next-generation imaging and spectral surveys, and could also find application beyond astronomy., Comment: 5 pages, submitted to MNRAS

Published
2015

9. Need for a Legal Framework to Enable Public-Funded Organizations in India to Build a New Paradigm for Innovation and Utilization of Intellectual Property (IP).

Author

Davé, Raj S., Goswami, Heena, Meena, Mansi, Davey, Neil, T., Ramakrishna, and Murthy, S. K.

Abstract

The Protection and Utilization of Public Funded Intellectual Property Bill, 2008 [hereinafter referred to as "the Bill"] was to provide a standard framework through which the universities and academic and research institutions are supported to build larger pools of knowledge which can seamlessly and efficiently be transferred to the industries. The Committee set up to make a recommendation highlighted specific contentious points and the absence of the recommendations put forth by the Committee in the Bill led to its withdrawal from the Rajya Sabha on December 8, 2014. The empirical study indicated that 64% of the participants in the study, emphatically, favor adopting an Act like the Bayh-Dole Act (of 1970 enacted by the United States of America) with modifications made to suit Indian requirements. Government of India (GOI), then, should consider modifying its draft Bill-2008 to bring it in line with the aspirations of India in 2022 and take guidance from Bayh-Dole Act and table the modified PUFUP Bill-2020 in the Indian parliament. Enactment of such a law will positively contribute to furthering science and technology, promoting leading research, make Indian organizations more efficient, and have a meaningful impact on the economy and quality of life of people in India. This research paper presents a section by section proposed amendments to the Bill of 2008. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input

Author

Bensmail, Chama, Steuber, Volker, Davey, Neil, Wróbel, Borys, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Kůrková, Věra, editor, Manolopoulos, Yannis, editor, Hammer, Barbara, editor, Iliadis, Lazaros, editor, and Maglogiannis, Ilias, editor

Published
2018
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13. Spiking Neural Networks Evolved to Perform Multiplicative Operations

Author

Khan, Muhammad Aamir, Steuber, Volker, Davey, Neil, Wróbel, Borys, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Kůrková, Věra, editor, Manolopoulos, Yannis, editor, Hammer, Barbara, editor, Iliadis, Lazaros, editor, and Maglogiannis, Ilias, editor

Published
2018
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27. Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns

Author

Priori, Daniel, de Sousa, Giseli, Roisenberg, Mauro, Stopford, Christopher, Hesse, Evelyn, Salawu, Emmanuel, Davey, Neil, Sun, Yi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Villa, Alessandro E.P., editor, Masulli, Paolo, editor, and Pons Rivero, Antonio Javier, editor

Published
2016
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32. Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping

Author

Alva, Parimala, de Sousa, Giseli, Torben-Nielsen, Ben, Maex, Reinoud, Adams, Rod, Davey, Neil, Steuber, Volker, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Mladenov, Valeri, editor, Koprinkova-Hristova, Petia, editor, Palm, Günther, editor, Villa, Alessandro E. P., editor, Appollini, Bruno, editor, and Kasabov, Nikola, editor

Published
2013
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33. Linear Support Vector Machines for Error Correction in Optical Data Transmission

Author

Metaxas, Alex, Redyuk, Alexei, Sun, Yi, Shafarenko, Alex, Davey, Neil, Adams, Rod, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Tomassini, Marco, editor, Antonioni, Alberto, editor, Daolio, Fabio, editor, and Buesser, Pierre, editor

Published
2013
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35. Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition

Author

de Sousa, Giseli, Maex, Reinoud, Adams, Rod, Davey, Neil, Steuber, Volker, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Villa, Alessandro E. P., editor, Duch, Włodzisław, editor, Érdi, Péter, editor, Masulli, Francesco, editor, and Palm, Günther, editor

Published
2012
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36. The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes

Author

Sun, Yi, Brown, Marc B., Prapopoulou, Maria, Adams, Rod, Davey, Neil, Moss, Gary P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Villa, Alessandro E. P., editor, Duch, Włodzisław, editor, Érdi, Péter, editor, Masulli, Francesco, editor, and Palm, Günther, editor

Published
2012
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37. Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers

Author

Shah, Alpa, Moss, Gary P., Sun, Yi, Adams, Rod, Davey, Neil, Wilkinson, Simon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Villa, Alessandro E. P., editor, Duch, Włodzisław, editor, Érdi, Péter, editor, Masulli, Francesco, editor, and Palm, Günther, editor

Published
2012
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38. Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples

Author

Rezwan, Faisal, Sun, Yi, Davey, Neil, Adams, Rod, Rust, Alistair G., Robinson, Mark, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lones, Michael A., editor, Smith, Stephen L., editor, Teichmann, Sarah, editor, Naef, Felix, editor, Walker, James A., editor, and Trefzer, Martin A., editor

Published
2012
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39. The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations

Author

Metaxas, Alex, Maex, Reinoud, Steuber, Volker, Adams, Rod, Davey, Neil, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lones, Michael A., editor, Smith, Stephen L., editor, Teichmann, Sarah, editor, Naef, Felix, editor, Walker, James A., editor, and Trefzer, Martin A., editor

Published
2012
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40. Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions

Author

Rezwan, Faisal, Sun, Yi, Davey, Neil, Adams, Rod, Rust, Alistair G., Robinson, Mark, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Pizzuti, Clara, editor, Ritchie, Marylyn D., editor, and Giacobini, Mario, editor

Published
2011
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41. Correcting Errors in Optical Data Transmission Using Neural Networks

Author

Hunt, Stephen, Sun, Yi, Shafarenko, Alex, Adams, Rod, Davey, Neil, Slater, Brendan, Bhamber, Ranjeet, Boscolo, Sonia, Turitsyn, Sergei K., Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Diamantaras, Konstantinos, editor, Duch, Wlodek, editor, and Iliadis, Lazaros S., editor

Published
2010
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45. The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex

Author

de Sousa, Giseli, Adams, Rod, Davey, Neil, Maex, Reinoud, Steuber, Volker, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kolehmainen, Mikko, editor, Toivanen, Pekka, editor, and Beliczynski, Bartlomiej, editor

Published
2009
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46. Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons

Author

Chen, Weiliang, Maex, Reinoud, Adams, Rod, Steuber, Volker, Calcraft, Lee, Davey, Neil, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kolehmainen, Mikko, editor, Toivanen, Pekka, editor, and Beliczynski, Bartlomiej, editor

Published
2009
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50. Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines

Author

Sun, Yi, Robinson, Mark, Adams, Rod, Rust, Alistair, Davey, Neil, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kůrková, Véra, editor, Neruda, Roman, editor, and Koutník, Jan, editor

Published
2008
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