Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Automatic Exploration of Datacenter Performance Regimes

    Bodik, P., Griffith, R., Sutton, C., Fox, A., Jordan, M. I. & Patterson, D. A., 2009, Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds (ACDC 2009). New York, NY, USA: ACM, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Automatic Generation of Specialized Direct Convolutions for Mobile GPUs

    Mogers, N., Radu, V., Li, L., Turner, J., O'Boyle, M. & Dubach, C., 23 Feb 2020, GPGPU '20: Proceedings of the 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit. ACM, p. 41-50 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Automatic Myoelectric Control Site Detection Using Candid Covariance-Free Incremental Principal Component Analysis

    Stuttaford, S. A., Krasoulis, A., Dupan, S. S. G., Nazarpour, K. & Dyson, M., 27 Aug 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 3497-3500 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Automatic classification of arrhythmic beats using Gaussian Processes

    Skolidis, G., Clayton, R. H. & Sanguinetti, G., Sep 2008, Computers in Cardiology, 2008. Institute of Electrical and Electronics Engineers (IEEE), p. 921-924 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Automatically Extracting Drosophila Courtship Behaviour Statistics from Video

    Heward, J. A., Lukins, T. C., Dewar, M. A. & Armstrong, D., 2008, Workshop on the Visual Observation and Analysis of Animal and Insect Behavior (held at ICPR2008). 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Automatically determining active investigation in rodents using contour analysis

    Lukins, T. C., Dewar, M., Crook, P. A., Heward, J. A. & Armstrong, J. D., 2008, Proceedings of Measuring Behavior 2008. p. 267-268

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Automating the Calibration of a Neonatal Condition Monitoring System

    Williams, C. K. I. & Stanculescu, I., 2011, Artificial Intelligence in Medicine: 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings. Peleg, M., Lavrac, N. & Combi, C. (eds.). Springer-Verlag GmbH, p. 240-249 10 p. (Lecture Notes in Computer Science; vol. 6747).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Autonomous flight control for an RC helicopter

    Camilleri, M., Scerri, K. & Zammit, S., 10 May 2012, 2012 16th IEEE Mediterranean Electrotechnical Conference. Institute of Electrical and Electronics Engineers (IEEE), p. 391-394 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis

    Stanculescu, I., Williams, C. K. I. & Freer, Y., 1 Sep 2014, In : IEEE Journal of Biomedical and Health Informatics. 18, 5, p. 1560-1570 11 p.

    Research output: Contribution to journalArticle

  10. Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations

    Rule, M. & Sanguinetti, G., 27 Aug 2018, In : Neural Computation. 34 p.

    Research output: Contribution to journalArticle

  11. Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media

    Shoemark, P., Sur, D., Shrimpton, L., Murray, I. & Goldwater, S., 7 Apr 2017, European Chapter of the Association for Computational Linguistics (EACL 2017). Valencia, Spain : Association for Computational Linguistics, p. 1239–1248 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

    Cooper Stickland, A. & Murray, I., 3 Jul 2019, Proceedings of the 36th International Conference on Machine Learning (ICML). Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, USA: PMLR, Vol. 97. p. 5986-5995 12 p. (Proceedings of Machine Learning Research; vol. 97).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. BLISS: an artificial language for learnability studies

    Pirmoradian, S. & Treves, A., 20 Oct 2011, In : Cognitive Computation. 3, 4, p. 539-553 15 p.

    Research output: Contribution to journalArticle

  14. BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited Paper

    Llewellynn, T., Fernández-Carrobles, M. M., Deniz, O., Fricker, S., Storkey, A., Pazos, N., Velikic, G., Leufgen, K., Dahyot, R., Koller, S., Goumas, G., Leitner, P., Dasika, G., Wang, L. & Tutschku, K., 15 May 2017, Proceedings of the Computing Frontiers Conference. New York, NY, USA: ACM, p. 299-304 6 p. (CF'17).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. BPRMeth: a flexible Bioconductor package for modelling methylation profiles

    Kapourani, C-A. & Sanguinetti, G., 15 Jul 2018, In : Bioinformatics. 34, 14, p. 2485-2486 2 p.

    Research output: Contribution to journalArticle

  16. BRIE: transcriptome-wide splicing quantication in single cells

    Huang, Y. & Sanguinetti, G., 27 Jun 2017, In : Genome Biology. 18, 123, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  17. Ballooning Delta-prime in the Second Stable Region

    Bishop, C. M., Hastie, R. J., Sykes, A. & Wilson, H. R., 1 Jan 1990, In : Physics of Fluids B. 2, p. 3052-3053 2 p.

    Research output: Contribution to journalArticle

  18. Ballooning stability analysis of JET H-mode discharges

    O'Brien, D. P., Galvao, R., Keilhacker, M., Lazzaro, E., Watkins, M. L. & Bishop, C. M., 1989, Proceedings 16th European Conference on Controlled Fusion and Plasma Physics. Vol. 1. p. 229-232 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Band tails in a disordered system

    van Rossum, M., Nieuwenhuizen, T. M., Hofstetter, E. & Schreiber, M., 1993, Photonic band gaps and localization: Proceedings of a NATO ARW on Localization and Propagation of Classical Waves in Random and Periodic Structures held in Aghia Pelaghia, Heraklion, Crete, May 26-30, 1992 . Soukoulis, C. M. (ed.). New York: Springer US, p. 509-513 5 p. (Nato Science Series B:; vol. 308).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Basic Integrated Modelling: A Case Study

    Salgado, M. E. & Oyarzún, D. R., 1 Jul 2006, In : International Journal of Electrical Engineering Education. 43, 3, p. 217-231 15 p.

    Research output: Contribution to journalArticle

  21. Bat detective - Deep learning tools for bat acoustic signal detection

    Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., Pandourski, I., Parsons, S., Russ, J., Szodoray-Paradi, A., Szodoray-Paradi, F., Tilova, E., Girolami, M., Brostow, G. & Jones, K. E., 8 Mar 2018, In : PLoS Computational Biology. 14, 3, p. 1-19 19 p.

    Research output: Contribution to journalArticle

  22. Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting

    Bekasovs, A. & Murray, I., 16 Nov 2018, (Accepted/In press) p. 1-6. 6 p.

    Research output: Contribution to conferencePaper

  23. Bayesian Classification with Gaussian Processes

    Williams, C. K. I. & Barber, D., Dec 1998, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 20, 12, p. 1342-1351 10 p.

    Research output: Contribution to journalArticle

  24. Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation

    Kleinegesse, S. & Gutmann, M., 1 Jun 2020, (Accepted/In press) Proceedings of the 37th International Conference on Machine Learning (ICML) 2020. PMLR, p. 7289-7299 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  25. Bayesian Inference of Atomistic Structure in Functional Materials

    Todorovic, M., Gutmann, M., Corander, J. & Rinke, P., 18 Mar 2019, In : npj Computational Materials. 5, 7 p., 35.

    Research output: Contribution to journalArticle

  26. Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms

    Murray, I. & Ghahramani, Z., 2004, Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI-04). Arlington, Virginia: AUAI Press, p. 392-399 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  27. Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Environmental Associates

    Custovic, A., Simpson, A., Belgrave, D., Buchan, I. & Bishop, C., 2012, In : Quaderni di statistica. 14, 14, 4 p.

    Research output: Contribution to journalArticle

  28. Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors

    Wallach, H., Sutton, C. & McCallum, A., 2008, ICML Workshop on Prior Knowledge for Text and Language. p. 15-20 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. Bayesian Multitask Classification With Gaussian Process Priors

    Skolidis, G. & Sanguinetti, G., 1 Dec 2011, In : IEEE Transactions on Neural Networks. 22, 12, p. 2011-2021 11 p.

    Research output: Contribution to journalArticle

  30. Bayesian Neural Networks

    Bishop, C. M., Jul 1997, In : The Journal of the Brazilian Computer Society. 4, 1, p. 61–68 8 p.

    Research output: Contribution to journalArticle

  31. Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models

    Gutmann, M. U. & Corander, J., 2016, In : Journal of Machine Learning Research. 17, 125, p. 1-47 47 p.

    Research output: Contribution to journalArticle

  32. Bayesian inference for queueing networks and modeling of internet services

    Sutton, C. & Jordan, M. I., 2011, In : Annals of Applied Statistics. 5, 1, p. 254-282 29 p.

    Research output: Contribution to journalArticle

  33. Bayesian inference for wind field retrieval

    Nabney, I. T., Cornford, D. & Williams, C. K. I., Jan 2000, In : Neurocomputing. 30, 1–4, p. 3-11 9 p.

    Research output: Contribution to journalArticle

  34. Bayesian inference of physiologically meaningful parameters from body sway measurements

    Tietäväinen, A., Gutmann, M. U., Keski-Vakkuri, E., Corander, J. & Hæggström, E., 19 Jun 2017, In : Scientific Reports. 7, 1, p. 1-14 14 p., 3771.

    Research output: Contribution to journalArticle

  35. Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit

    Žurauskiene, J., Kirk, P., Thorne, T. & Stumpf, M. P. H., 1 Aug 2014, In : Physica a-Statistical mechanics and its applications. 407, p. 33-42 10 p.

    Research output: Contribution to journalArticle

  36. Becoming the expert - interactive multi-class machine teaching

    Johns, E., Mac Aodha, O. & Brostow, G. J., 15 Oct 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), p. 2616-2624 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  37. Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex

    Pakan, J. M., Lowe, S. C., Dylda, E., Keemink, S., Currie, S. P., Coutts, C. A. & Rochefort, N. L., 23 Aug 2016, In : eLIFE. 5

    Research output: Contribution to journalArticle

  38. Benchmarking infrastructure for mutation text mining

    Klein, A., Riazanov, A., Hindle, M. M. & Baker, C. J. O., 25 Feb 2014, In : Journal of Biomedical Semantics. 5, 11, p. 1-13 13 p.

    Research output: Contribution to journalArticle

  39. Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game

    Colombo, M., Stankevicius, A. & Seriés, P., Oct 2014, In : Frontiers in Psychology. 5, 9 p., 1154.

    Research output: Contribution to journalArticle

  40. Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study

    Simpson, A., Tan, V. Y. F., Winn, J., Svensén, M., Bishop, C. M., Heckerman, D. E., Buchan, I. & Custovic, A., Jun 2010, In : American Journal of Respiratory and Critical Care Medicine. 181, 11, p. 1200-1206 7 p.

    Research output: Contribution to journalArticle

  41. Beyond correlations in MEA recordings - how far can we go?

    Panas, D., Maccione, A., Berdondini, L. & Hennig, M., 2011.

    Research output: Contribution to conferencePoster

  42. Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code

    Karampatsis, R-M., Babii, H., Robbes, R., Sutton, C. & Janes, A., 9 Dec 2019, (Accepted/In press) ICSE: International Conference on Software Engineering. 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  43. Binocular eye-movements of dyslexic readers: Prioritising the abducting eye and purposeful movements within a fixation

    Shillcock, R., Obregon-Sargent, M., Kreiner, H. & Roberts, M., 2011, In : Journal of Eye Movement Research. 4, 3, p. 308-308 1 p.

    Research output: Contribution to journalMeeting abstract

  44. Binocular fixations: What happens when each eye looks at a different word?

    Kreiner, H. & Shillcock, R., Sep 2008, In : International Journal of Psychology. 43, 3-4, p. 47-47 1 p.

    Research output: Contribution to journalArticle

  45. Binocular foveation in reading

    Shillcock, R., Roberts, M., Kreiner, H. & Obregon-Sargent, M., Nov 2010, In : Attention, Perception & Psychophysics. 72, 8, p. 2184-2203 20 p.

    Research output: Contribution to journalArticle

  46. Binocular strategies in reading

    Roberts, M., Obregón, M. & Shillcock, R., 1 Aug 2009. 1 p.

    Research output: Contribution to conferenceAbstract

  47. Bio-PEPAd: A non-Markovian extension of Bio-PEPA

    Caravagna, G. & Hillston, J., 2012, In : Theoretical Computer Science. 419, p. 26-49 24 p.

    Research output: Contribution to journalArticle

  48. Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping

    Gallone, G., Simpson, T. I., Armstrong, J. D. & Jarman, A. P., Jul 2011, In : BMC Bioinformatics. 12, July, 15 p., 289.

    Research output: Contribution to journalArticle

  49. Biologically inspired EM image alignment and neural reconstruction

    Knowles-Barley, S., Butcher, N. J., Meinertzhagen, I. A. & Armstrong, J. D., 2011, In : Bioinformatics. 27, 16, p. 2216-2223 8 p.

    Research output: Contribution to journalArticle

  50. Biologically-inspired object recognition system for recognizing natural scene categories

    Alameer, A., Degenaar, P. & Nazarpour, K., 9 Jan 2017, 2016 International Conference for Students on Applied Engineering (ICSAE). Institute of Electrical and Electronics Engineers (IEEE), p. 129-132 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  51. Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

    Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Sep 2016. 1 p.

    Research output: Contribution to conferencePoster

  52. Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

    Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Oct 2016. 1 p.

    Research output: Contribution to conferencePoster

  53. Biomimetic and Biofeedback approaches forBrain Machine Interface

    Nazarpour, K. & Jackson, A., 17 Dec 2010, p. 207-211. 5 p.

    Research output: Contribution to conferencePaper

  54. Blending LSTMs into CNNs

    Geras, K. J., Mohamed, A., Caruana, R., Urban, G., Wang, S., Aslan, Ö., Philipose, M., Richardson, M. & Sutton, C., 4 Feb 2016, (Accepted/In press) International Conference on Learning Representations (ICLR Workshop). 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  55. Blind Separation of TMJ Sounds by Incorporating Fractional Delay Estimation

    Took, C. C., Nazarpour, K., Sanei, S. & Chambers, J., 20 Dec 2006. 4 p.

    Research output: Contribution to conferencePaper

  56. Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound

    Tsalaile, T., Naqvi, S. M., Nazarpour, K., Sanei, S. & Chambers, J. A., 12 May 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), p. 461-464 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  57. Blind source separation for fmri signals using spatial independent component analysis

    Zhong, M., Tang, H. & Tang, Y., Dec 2002, In : ACTA Biophysica Sinica. 19, 1, p. 79-83 5 p.

    Research output: Contribution to journalArticle

  58. BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

    Turner, J., Crowley, E., O'Boyle, M., Storkey, A. & Gray, G., 30 Apr 2020, Proceedings to the International Conference on Learning Representations 2020. p. 1-15 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  59. Blunted Medial Prefrontal Cortico-Limbic Reward-Related Effective Connectivity and Depression

    Rupprechter, S., Romaniuk, L., Series, P., Hirose, Y., Hawkins, E., Sandu-Giuraniuc, A., Waiter, G., Mcneil, C. J., Shen, X., Harris, M., Campbell, A., Porteous, D., McFarlane, J., Lawrie, S., Murray, A., Delgado, M., McIntosh, A., Whalley, H. & Steele, D., 1 Jun 2020, In : Brain. 143, 6, p. 1946-1956

    Research output: Contribution to journalArticle

  60. Bottom-up connectionist modelling of speech

    Cairns, P., Shillcock, R., Chater, N. & Levy, J., 20 Dec 1995, Preview this Book Connectionist Models Of Memory And Language. Levy, J. (ed.). CRC PRESS-TAYLOR & FRANCIS GROUP, 289 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  61. Brain white matter structure and information processing speed in healthy older age

    Kuznetsova, K., Munoz-Maniega, S., Ritchie, S., Cox, S., Storkey, A., Starr, J., Wardlaw, J., Deary, I. & Bastin, M., 2015, In : Brain Structure and Function. 21, 6, p. 3323-3235

    Research output: Contribution to journalArticle

  62. BrainTrap: The Fly Brain Protein Trap Database

    Knowles-Barley, S., Longair, M. & Armstrong, D., 2009.

    Research output: Contribution to conferencePoster

  63. BrainTrap: a database of 3D protein expression patterns in the Drosophila brain

    Knowles-Barley, S., Longair, M. & Armstrong, J. D., 2010, In : Database: The Journal of Biological Databases and Curation. 2010, p. 1-9 9 p., baq005.

    Research output: Contribution to journalArticle

  64. Branching and Bounding Improvements for Global Optimization Algorithms with Lipschitz Continuity Properties

    Cartis, C., Fowkes, J. & Gould, N., 2013, ERGO Technical Report.

    Research output: Book/ReportOther report

  65. Branching and bounding improvements for global optimization algorithms with Lipschitz continuity properties

    Cartis, C., Fowkes, J. M. & Gould, N. I. M., Mar 2015, In : Journal of Global Optimization. 61, 3, p. 429-457 29 p.

    Research output: Contribution to journalArticle

  66. Bregman divergence as general framework to estimate unnormalized statistical models

    Gutmann, M. & Hirayama, J., 2011, Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI 2011). 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  67. Building a mechanistic model of the development and function of the primary visual cortex

    Bednar, J. A., Sep 2012, In : Journal of Physiology-Paris. 106, 5-6, p. 194-211 18 p.

    Research output: Contribution to journalArticle

  68. Building the Central Complex in Drosophila: The Generation and Development of Distinct Neural Subsets

    Young, J. M. & Armstrong, J. D., 1 May 2010, In : Journal of Comparative Neurology. 518, 9, p. 1525-1541 17 p.

    Research output: Contribution to journalArticle

  69. CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks

    Paroni, A., Graudenzi, A., Caravagna, G., Damiani, C., Mauri, G. & Antoniotti, M., 4 Feb 2016, In : BMC Bioinformatics. 17, 64, 12 p.

    Research output: Contribution to journalArticle

  70. CAPRI: efficient inference of cancer progression models from cross-sectional data

    Ramazzotti, D., Caravagna, G., Olde Loohuis, L., Graudenzi, A., Korsunsky, I., Mauri, G., Antoniotti, M. & Mishra, B., 15 Sep 2015, In : Bioinformatics. 31, 18, p. 3016-26 11 p.

    Research output: Contribution to journalArticle

  71. CMOS Magnetic Sensors for Wearable Magnetomyography

    Heidari, H., Zuo, S., Krasoulis, A. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2116-2119 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  72. CO-Releasing Molecules Have Nonheme Targets in Bacteria: Transcriptomic, mathematical Modeling and Biochemical Analyses of CORM-3 [Ru(CO) 3 Cl (glycinate)] Actions on a Heme-Deficient Mutant of Escherichia coli

    Wilson, J. L., Wareham, L. K., Mclean, S., Begg, R., Greaves, S., Mann, B. E., Sanguinetti, G. & Poole, R. K., 25 Jun 2015, In : Antioxidants and Redox Signaling. 23, 2, p. 148-162 15 p.

    Research output: Contribution to journalArticle

  73. Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking

    Wei, X. & Radu, V., 28 Nov 2019, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  74. Calibrating spatio-temporal models of leukocyte dynamics against in vivo live-imaging data using approximate Bayesian computation.

    Liepe, J., Taylor, H., Barnes, C. P., Huvet, M., Bugeon, L., Thorne, T., Lamb, J. R., Dallman, M. J. & Stumpf, M. P. H., 1 Mar 2012, In : Integrative Biology. 4, 3, p. 335-345 11 p.

    Research output: Contribution to journalArticle

  75. CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras

    Cosma, A., Radoi, I. E. & Radu, V., 28 Nov 2019, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  76. Capturing Data Uncertainty in High-Volume Stream Processing

    Diao, Y., Li, B., Liu, A., Peng, L., Sutton, C. A., Tran, T. T. L. & Zink, M., 2009, 4th Biennial Conference on Innovative Data Systems Research (CIDR). 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  77. Carbon monoxide gas is not inert, but global, in its consequences for bacterial gene expression, iron acquisition and antibiotic resistance

    Wareham, L. K., Begg, R., Jesse, H. E., Van Beilen, J., Ali, S., Svistunenko, D., McLean, S., Hellingwerf, K., Sanguinetti, G. & Poole, R. K., 13 Jun 2016, In : Antioxidants and Redox Signaling. 24, 17, p. 1013-1028 16 p.

    Research output: Contribution to journalArticle

  78. Carbon monoxide-releasing antibacterial molecules target respiration and global transcriptional regulators

    Davidge, K. S., Sanguinetti, G., Yee, C. H., Cox, A. G., McLeod, C. W., Monk, C. E., Mann, B. E., Motterlini, R. & Poole, R. K., 13 Feb 2009, In : Journal of Biological Chemistry. p. 4516-4524 9 p.

    Research output: Contribution to journalArticle

  79. Cascaded Multilevel Inverter With Regeneration Capability and Reduced Number of Switches

    Lezana, P., Rodriguez, J. & Oyarzun, D. A., 3 Mar 2008, In : IEEE Transactions on Industrial Electronics. 55, 3, p. 1059-1066 8 p.

    Research output: Contribution to journalArticle

  80. Categorial mirror symmetry for K3 surfaces

    Bartocci, C., Bruzzo, U. & Sanguinetti, G., Oct 1999, In : Communications in Mathematical Physics. 206, 2, p. 265-272 8 p.

    Research output: Contribution to journalArticle

  81. Categorical encoding of decision variables in orbitofrontal cortex

    Onken, A., Xie, J., Panzeri, S. & Padoa-Schioppa, C., 14 Oct 2019, In : PLoS Computational Biology. 15, 10, 27 p., e1006667.

    Research output: Contribution to journalArticle

  82. Cellular mechanisms underlying behavioral state-dependent bidirectional modulation of motor cortex output

    Schiemann, J., Puggioni, P., Pelko, M., Domanski, A., Van Rossum, M. & Duguid, I., 26 May 2015, In : Cell Reports. 11, 8, p. 1319–1330

    Research output: Contribution to journalArticle

  83. Censoring Representations with an Adversary

    Edwards, H. & Storkey, A., 4 May 2016, International Conference in Learning Representations (ICLR2016). 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  84. Centre Report 2019: Centre for Research in Digital Education

    Bayne, S., Ewins, A., Evans, P., Gallagher, M., Ghazali-Mohammed, Z., Manches, A., Odai, L., Knox, J., Menzies, J., O'shea, C., Plowman, L., Ross, J., Sowton, C., Robertson, J., Sheail, P., Tsai, Y-S., Wang, Y., Williamson, B., Farrell, K., Lawson, T. & 1 others, Priztker, R., 1 May 2019, The Centre for Research in Digital Education. 21 p.

    Research output: Book/ReportCommissioned report

  85. Changing dynamics of spontaneous waves during retinal development: A novel panretinal perspective achieved with the Active Pixel Sensor (APS) 4,096 electrodes array

    Sernagor, E., Maccione, A., Hennig, M., Gandolfo, M., Eglen, S. & Berdondini, L., 2010, Proc. Society for Neuroscience Annual Meeting (SFN'10).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  86. Changing dynamics of spontaneous waves during retinal development: a novel panretinal perspective achieved with the Active Pixel Sensor (APS) 4,096 electrodes array

    Sernagor, E., Maccione, A., Hennig, M., Gandolfo, M., Eglen, S. & Berdondini, L., 2010, 7th Int. Meeting on Substrate-Integrated Microelectrodes. BIOPRO Baden-Württemberg GmbH, p. 100-103 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  87. Changing expectations about speed alters perceived motion direction

    Sotiropoulos, G., Seitz, A. R. & Series, P., 8 Nov 2011, In : Current Biology. 21, 21, p. R883-R884 2 p.

    Research output: Contribution to journalArticle

  88. Changing how Earth System Modelling is done to provide more useful information for decision making, science and society

    Smith, M. J., Palmer, P., Purves, D. W., Vanderwel, M. C., Lyutsarev, V., Calderhead, B., Joppa, L. N., Bishop, C. & Emmott, S., 2014, In : Bulletin of the American Meteorological Society. 95, 9

    Research output: Contribution to journalArticle

  89. Chapter Six – Genetic Analysis of Drosophila Circadian Behavior in Seminatural Conditions

    Green, E. W., O'Callaghan, E. K., Pegoraro, M., Armstrong, J. D., Costa, R. & Kyriacou, C. P., 2015, Circadian Rhythms and Biological Clocks, Part A. Sehgal, A. (ed.). Academic Press, p. 121-133 13 p. (Methods in Enzymology; vol. 559).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  90. Chapter Two - Towards a Systems Level Understanding of the Oxygen Response of Escherichia coli

    Bettenbrock, K., Bai, H., Ederer, M., Green, J., Hellingwerf, K. J., Holcombe, M., Kunz, S., Rolfe, M. D., Sanguinetti, G., Sawodny, O., Sharma, P., Steinsiek, S. & Poole, R. K., 2014, Advances in Microbial Systems Biology. Vol. 64. p. 65 - 114 50 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  91. Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

    Turner, J., Cano Reyes, J., Radu, V., Crowley, E., O'Boyle, M. & Storkey, A., 13 Dec 2018, Proceedings of the - Workload Characterization (IISWC), 2018 IEEE International Symposium on. Raleigh, North Carolina, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 101-110 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  92. Characterizing binocular eye-movements in reading in esotropic Duane’s Syndrome

    Shillcock, R., Obregon-Sargent, M., Kreiner, H. & Roberts, M., 2011, In : Journal of Eye Movement Research. 4, 3, p. 182-182 1 p.

    Research output: Contribution to journalMeeting abstract

  93. Characterizing response behavior in multisensory perception with conflicting cues

    Natarajan, R., Murray, I., Shams, L. & Zemel, R., 2009, Advances in Neural Information Processing Systems 21. Koller, D., Schuurmans, D., Bengio, Y. & Bottou, L. (eds.). p. 1153-1160 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  94. Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?

    Reichert, D. P., Seriès, P., Storkey, A. J. & Gutkin, B. S. (ed.), 18 Jul 2013, In : PLoS Computational Biology. 9, 7, 19 p., e1003134.

    Research output: Contribution to journalArticle

  95. Circadian control of mouse heart rate and blood pressure by the suprachiasmatic nuclei: behavioral effects are more significant than direct outputs

    Sheward, W. J., Naylor, E., Knowles-Barley, S., Armstrong, J. D., Brooker, G. A., Seckl, J. R., Turek, F. W., Holmes, M. C., Zee, P. C. & Harmar, A. J., 22 Mar 2010, In : PLoS ONE. 5, 3, 9 p., e9783.

    Research output: Contribution to journalArticle

  96. Classification of Animal Behaviour Using Dynamic Models of Movement

    Dewar, M. A., Lukins, T. C., Heward, J. A. & Armstrong, D., 2008.

    Research output: Contribution to conferencePoster

  97. Classification of Elbow Electormyography Signals based on Directed Transfer Functions

    Latif, R., Sanei, S. & Nazarpour, K., 24 Jun 2008, 2008 International Conference on BioMedical Engineering and Informatics. Institute of Electrical and Electronics Engineers (IEEE), p. 371-374 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  98. Classification of arterial plaque by spectral analysis of in vitro radio frequency intravascular ultrasound data

    Watson, R. J., McLean, C. C., Moore, M. P., Spencer, T., Salter, D. M., Anderson, T., Fox, K. A. A. & McDicken, W. N., Jan 2000, In : Ultrasound in Medicine & Biology. 26, 1, p. 73-80 8 p.

    Research output: Contribution to journalArticle

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