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Items where Schools and Departments is "School of Mathematics, Computer Science & Engineering > Computer Science" and Year is 2017

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Number of items: 101.

A

Abd Rahman, M. H., Nordin, A. I. and Denisova, A. ORCID: 0000-0002-1497-5808 (2017). The effect of time manipulation on immersion in digital games. In: Badioze Zaman, H., Robinson, P., Smeaton, A. F., Shih, T. K. and Velastin, S. (Eds.), Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science. (pp. 544-551). Cham: UNSPECIFIED. ISBN 978-3-319-70009-0

Abdallah, S., Benetos, E., Gold, N., Hargreaves, S., Weyde, T. and Wolff, D. (2017). The digital music lab: A big data infrastructure for digital musicology. Journal on Computing and Cultural Heritage, 10(1), 2.. doi: 10.1145/2983918

Abrishamchi, M. A. N., Abdullah, A. H., Cheok, A. D. ORCID: 0000-0001-6316-2339 and Bielawski, K. S. (2017). Side channel attacks on smart home systems: A short overview. In: IECON 2017 - 43rd Annual Conference of the IEEE. (pp. 4926-4932). IEEE. ISBN 978-1-5386-1127-2

Abrishamchi, M. A. N., Abdullah, A. H., Cheok, A. D. ORCID: 0000-0001-6316-2339 and Nikolic, P. K. (2017). A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home. In: Balog, M., Knapcikova, L., Dorcak, P., Pollak, F., Caganova, D., Fazio, P. and Aydin, K. (Eds.), Smart City 360°. The second EAI International Summit, Smart City 360°, Bratislava, Slovakia, November 22-24, 2016. Revised Selected Papers. . European Union Digital Library.

Albrecht, T., Slabaugh, G. G., Alonso, E. and Al-Arif, M. R. (2017). Deep Learning for Single-Molecule Science. Nanotechnology, doi: 10.1088/1361-6528/aa8334

Algaith, A. (2017). Technical Report: Diversity with Intrusion Detection Systems: An Empirical Study. .

Algaith, A., Elia, I. A., Gashi, I. and Vieira, M. R. (2017). Diversity with Intrusion Detection Systems: An Empirical Study. Paper presented at the The 16th IEEE International Symposium on Network Computing and Applications, 30 Oct - 01 Nov 2017, Boston, USA.

Andrienko, G., Andrienko, N., Chen, W., Maciejewski, R. and Zhao, Y. (2017). Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions. IEEE Transactions on Intelligent Transportation Systems, PP(99), doi: 10.1109/TITS.2017.2683539

Andrienko, G., Andrienko, N., Fuchs, G. and Cordero Garcia, J. M. (2017). Clustering Trajectories by Relevant Parts for Air Traffic Analysis. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2744322

Andrienko, N. and Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization, doi: 10.1177/1473871617692841

Anisetti, M., Ardagna, C. A., Damiani, E., Maña, A. and Spanoudakis, G. (2017). Towards Transparent and Trustworthy Cloud. IEEE Cloud Computing, 4(3), pp. 40-48. doi: 10.1109/MCC.2017.51

Asad, M. (2017). Efficient hand orientation and pose estimation for uncalibrated cameras. (Unpublished Doctoral thesis, City, University of London)

Asad, M. and Slabaugh, G. G. (2017). Staged Probabilistic Regression for Hand Orientation Inference. Computer Vision and Image Understanding, 161, pp. 114-129. doi: 10.1016/j.cviu.2017.05.009

B

Badra, F. and Besold, T. R. (2017). Preface. CEUR Workshop Proceedings, 2028, pp. 9-11.

Basaru, R. R., Child, C. H. T., Alonso, E. and Slabaugh, G. G. (2017). Conditional Regressive Random Forest Stereo-based Hand Depth Recovery. Paper presented at the International Conference on Computer Vision Workshop on Observing and Understanding Hands in Action, 23 Oct 2017, Venice, Italy.

Basaru, R. R., Child, C. H. T., Alonso, E. and Slabaugh, G. G. (2017). Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo. Paper presented at the International Conference on Computer Vision Workshop on Observing and Understanding Hands in Action, 23 Oct 2017, Venice, Italy.

Besold, T. R., Garcez, A.D, Stenning, K., van der Torre, L. and van Lambalgen, M. (2017). Reasoning in non-probabilistic uncertainty: logic programming and neural-symbolic computing as examples. Minds and Machines, 27(1), doi: 10.1007/s11023-017-9428-3

Besold, T. R., Hedblom, M. M. and Kutz, O. (2017). A narrative in three acts: Using combinations of image schemas to model events. Biologically Inspired Cognitive Architectures, 19, pp. 10-20. doi: 10.1016/j.bica.2016.11.001

Besold, T. R., Kuhnberger, K-U. and Plaza, E. (2017). Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams. Connection Science, 29(4), pp. 387-413. doi: 10.1080/09540091.2017.1326463

Bloomfield, R. E., Bishop, P. G., Butler, E. and Netkachova, K. (2017). Using an assurance case framework to develop security strategy and policies. Lecture Notes in Computer Science, 10489, pp. 27-38. doi: 10.1007/978-3-319-66284-8_3

Bloomfield, R. E., Butler, E. and Netkachova, K. (2017). Assurance of open systems dependability: developing a framework for automotive security and safety. Paper presented at the Sixth Workshop on Open Systems Dependability, 21 Oct 2017, Tokyo, Japan.

Bloomfield, R. E., Guerra, A. S. L., Butler, E. and Netkachova, K. (2017). Security-informed safety: integrating security within the safety demonstration of a smart device. Paper presented at the 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, 11-15 Jun 2017, San Francisco, USA.

Bojanczyk, M., Daviaud, L., Guillon, B. and Penelle, V. (2017). Which Classes of Origin Graphs Are Generated by Transducers. In: Chatzigiannakis, I., Indyk, P., Kuhn, F. and Muscholl, A. (Eds.), 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017). Leibniz International Proceedings in Informatics (LIPIcs), 80. (114:1-114:13). Dagstuhl: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. ISBN 978-3-95977-041-5

Brown, D., Waugh, S., Bussone, A. and Stumpf, S. ORCID: 0000-0001-6482-1973 (2017). Evaluation of BeYou plus an mHealth application to support self-management strategies for people living with HIV. Paper presented at the 23rd Annual Conference of the British HIV Association (BHIVA), 4-7 Apr 2017, Liverpool, UK.

Bussone, A., Stumpf, S. and Wilson, S. (2017). The use of online forums by people living with HIV for help in understanding personal health information. International Journal of Medical Informatics, 108, pp. 64-70. doi: 10.1016/j.ijmedinf.2017.10.001

C

Cheok, A. D. ORCID: 0000-0001-6316-2339, Edirisinghe, C. and Karunanayaka, K. (2017). Confucius computer: a philosophical digital agent for intergenerational philosophical play. Personal and Ubiquitous Computing, 21(2), pp. 327-343. doi: 10.1007/s00779-016-0995-8

Cheok, A. D. ORCID: 0000-0001-6316-2339, Karunanayaka, K. and Zhang, E. Y. (2017). Lovotics: Human - Robot Love and Sex Relationships. In: Lin, P., Abney, K. and Jenkins, R. (Eds.), Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence. (pp. 193-213). Oxford University Press. ISBN 9780190652951

Claramunt, C., Ray, C., Salmon, L., Camossi, E., Hadzagic, M., Jousselme, A-L., Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Theodoridis, Y. and Vouros, G. (2017). Maritime data integration and analysis: Recent progress and research challenges. Advances in Database Technology - EDBT, 2017, pp. 192-197. doi: 10.5441/002/edbt.2017.18

D

Daviaud, L., Guillon, P. and Merlet, G. (2017). Comparison of max-plus automata and joint spectral radius of tropical matrices. In: Larsen, K. G., Bodlaender, H. L. and Raskin, J-F. (Eds.), 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017). Leibniz International Proceedings in Informatics (LIPIcs), 83. (19:1-19:14). Dagstuhl: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. ISBN 9783959770460

Daviaud, L., Jecker, I., Reynier, P-A. and Villevalois, D. (2017). Degree of Sequentiality of Weighted Automata. In: Foundations of Software Science and Computation Structures. FoSSaCS 2017. Lecture Notes in Computer Science, 10203. (pp. 215-230). Berlin: Springer. ISBN 978-3-662-54457-0

Daviaud, L. and Johnson, M. (2017). The Shortest Identities for Max-Plus Automata with Two States. In: Larsen, Kim G, Bodlaender, Hans L and Raskin, Jean-François (Eds.), 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017). Leibniz International Proceedings in Informatics (LIPIcs), 83. (48:1-48:13). Dagstuhl: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. ISBN 978-3-95977-046-0

Donadello, I., Serafini, L. and d'Avila Garcez, A. S. (2017). Logic tensor networks for semantic image interpretation. Paper presented at the IJCAI 2017, 19-25 Aug 2017, Melbourne, Australia.

E

Edwards, B. I., Khougali, N. H. O. and Cheok, A. D. ORCID: 0000-0001-6316-2339 (2017). Trends in Computer-Aided Diagnosis Using Deep 2 Learning Techniques: A Review of Recent Studies on 3 Algorithm Development 4. Preprints, 2017, doi: 10.20944/preprints201710.0117.v1

Elmsley (né Lambert), A. (2017). Modelling metrical flux: an adaptive frequency neural network for expressive rhythmic perception and prediction. (Unpublished Doctoral thesis, City, University of London)

Elmsley (né Lambert), A., Weyde, T. and Armstrong, N. (2017). Generating Time: Rhythmic Perception, Prediction and Production with Recurrent Neural Networks. Journal of Creative Music Systems, 1(2), doi: 10.5920/JCMS.2017.04

Endert, A., Ribarsky, W., Turkay, C., Wong, B.L.W., Nabney, I.T., Diaz-Blanco, I. and Rossi, F. (2017). The State of the Art in Integrating Machine Learning into Visual Analytics. Computer Graphics Forum, 36(8), pp. 458-486. doi: 10.1111/cgf.13092

F

Frankowska-Takhari, S., MacFarlane, A., Goker, A. S. and Stumpf, S. (2017). Selecting and tailoring of images for visual impact in online journalism. Information Research, 22(1), 1619..

Fysarakis, K., Petroulakis, N., Roos, A., Abbasi, K., Vizarreta, P., Petropoulos, G., Sakic, E., Spanoudakis, G. and Askoxylakis, I. G. (2017). A Reactive Security Framework for Operational Wind Parks Using Service Function Chaining. In: Proceedings of 2017 IEEE Symposium on Computers and Communication (ISCC). . IEE.

G

Galliers, J. R., Wilson, S., Marshall, J., Talbot, R., Devane, N., Booth, T., Woolf, C. and Greenwood, H. (2017). Experiencing EVA Park, A Multi-User Virtual World For People With Aphasia. ACM Transactions on Accessible Computing, 10(4), 15.. doi: 10.1145/3134227

Giannopoulos, P. ORCID: 0000-0002-6261-1961, Bonnet, E. and Lampis, M. (2017). On the Parameterized Complexity of Red-Blue Points Separation. Paper presented at the 12th International Symposium on Parameterized and Exact Computation (IPEC 2017), 04 - 08 Sep 2017, Vienna, Austria.

H

Harder, F. and Besold, T. R. (2017). An approach to supervised learning of three valued Lukasiewicz logic in Hölldobler's core method. CEUR Workshop Proceedings, 1895, pp. 24-37.

Heeley, Robert (2017). A hybrid machine learning approach to measuring sentiment, credibility and influence on Twitter. (Unpublished Doctoral thesis, City, University of London)

Howe, J. M., Mota, E.D. and Garcez, A. (2017). Inductive learning in Shared Neural Multi-Spaces. Paper presented at the Twelfth International Workshop on Neural-Symbolic Learning and Reasoning 2017, July 17-18, 2017, London, UK.

Howe, J. M., Robbins,, E and King, A (2017). Theory Learning with Symmetry Breaking. Proceedings of the 19th International Symposium on Principles and Practice of Declarative Programming, pp. 85-96. doi: 10.1145/3131851.3131861

J

Jawaid, M. M., Rajani, R., Liatsis, P., Reyes Aldasoro, C. and Slabaugh, G. G. (2017). Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Jawaid, M. M., Rajani, R., Liatsis, P., Reyes-Aldasoro, C. C. and Slabaugh, G. G. (2017). A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation. Computer Methods and Programs in Biomedicine, doi: 10.1016/j.cmpb.2017.03.020

Jawaid, M. M., Riaz, A., Rajani, R., Reyes-Aldasoro, C. C. and Slabaugh, G. G. (2017). Framework for Detection and Localization of Coronary Non-Calcified Plaques in Cardiac CTA using Mean Radial Profiles. Computers in Biology and Medicine, 89, pp. 84-95. doi: 10.1016/j.compbiomed.2017.07.021

Jianu, R. and Alam, S. S. (2017). A Data Model and Task Space for Data of Interest (DOI) Eye-Tracking Analyses. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2665498

K

Koloutsou, K., Kikidis, D., Spanoudakis, G., Bibas, A. and Nikolopoulos, T. (2017). Speech audiometry test with picture-related sentence lists in Modern Greek for partially hearing children. Hearing, Balance and Communication, 15(4), pp. 187-198. doi: 10.1080/21695717.2017.1389176

Koytek, P., Perin, C., Vermeulen, J., Andre, E. and Carpendale, S. (2017). MyBrush: Brushing and Linking with Personal Agency. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2743859

Krotsiani, M., Kloukinas, C. and Spanoudakis, G. (2017). Cloud Certification Process Validation using Formal Methods. Paper presented at the 15th International Conference on Service Oriented Computing (ICSOC 2017), 13-16 Nov 2017, Malaga, Spain.

Krotsiani, M., Kloukinas, C. and Spanoudakis, G. (2017). Validation of Service Level Agreements using Probabilistic Model Checking. Paper presented at the 14th IEEE International Conference on Services Computing, 25-30 Jun 2017, Honolulu, USA.

L

Laird, A. R., Riedel, M. C., Okoe, M., Jianu, R., Ray, K. L., Eickhoff, S. B., Smith, S. M., Fox, P. T. and Sutherland, M. T. (2017). Heterogeneous fractionation profiles of meta-analytic coactivation networks. NeuroImage, 149, pp. 424-435. doi: 10.1016/j.neuroimage.2016.12.037

Lee, D. (2017). Numbers, instruments and hands: the impact of faceted analytical theory on classifying music ensembles. Knowledge Organization, 44(6), pp. 405-415.

Loorak, M.H., Perin, C., Collins, C. and Carpendale, S. (2017). Exploring the Possibilities of Embedding Heterogeneous Data Attributes in Familiar Visualizations. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 581-590. doi: 10.1109/TVCG.2016.2598586

Luzardo, A., Alonso, E. and Mondragon, E. ORCID: 0000-0003-4180-1261 (2017). A Rescorla-Wagner Drift-Diffusion Model of Conditioning and Timing. PLoS Computational Biology, 13(11), e1005796. doi: 10.1371/journal.pcbi.1005796

Luzardo, A., Rivest, F., Alonso, E. and Ludvig, E. (2017). A Drift-Diffusion Model of Interval Timing in the Peak Procedure. Journal of Mathematical Psychology, 77, pp. 111-123. doi: 10.1016/j.jmp.2016.10.002

M

Martinez, M., Abdel-Fattah, A. M. H., Krumnack, U., Gomez-Ramirez, D., Smaill, A., Besold, T. R., Pease, A., Schmidt, M., Guhe, M. and Kuehnberger, K-U. (2017). Theory blending: extended algorithmic aspects and examples. Annals of Mathematics and Artificial Intelligence, 80(1), pp. 65-89. doi: 10.1007/s10472-016-9505-y

Millan Cifuentes, J. D. (2017). Curiosity driven search experiences. (Unpublished Doctoral thesis, City, University of London)

Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E. and Kokkola, N. (2017). Associative Learning Should Go Deep. Trends in Cognitive Science, 21(11), pp. 822-825. doi: 10.1016/j.tics.2017.06.001

Morrison, C., Cutrell, E., Dhareshwar, A., Doherty, K., Thieme, A. and Taylor, A. (2017). Imagining Artificial Intelligence Applications with People with Visual Disabilities Using Tactile Ideation. Paper presented at the ASSETS '17 The 19th International ACM SIGACCESS Conference on Computers and Accessibility, 29 October- -1 November 2017, Baltimore, MD, USA.

N

Neate, T., Evans, M. and Jones, M. (2017). Enhancing interaction with dual-screen television through display commonalities. In: TVX '17. Proceedings of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video. (pp. 91-103). ACM. ISBN 9781450345293

Neate, T., Jones, M. and Evans, M. (2017). Cross-device media: a review of second screening and multi-device television. Personal and Ubiquitous Computing, 21(2), pp. 391-405. doi: 10.1007/s00779-017-1016-2

Netkachova, K. and Bloomfield, R. E. (2017). Is Chocolate Good for You-or, Is the Cloud Secure?. Computer, 50(8), pp. 74-78. doi: 10.1109/MC.2017.3001250

O

O'Sullivan, D. and Plastiras, P. (2017). Combining ontologies and open standards to derive a middle layer information model for interoperability of personal and electronic health records. Journal of Medical Systems, 41(195), doi: 10.1007/s10916-017-0838-9

P

Panteli, M., Benetos, E. ORCID: 0000-0002-6820-6764 and Dixon, S. (2017). A computational study on outliers in world music. PLOS ONE, 12(12), e0189399. doi: 10.1371/journal.pone.0189399

Perin, C., Wun, T., Pusch, R. and Carpendale, S. (2017). Assessing the Graphical Perception of Time and Speed on 2D+Time Trajectories. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2743918

Petroulakis, N. E., Spanoudakis, G. and Askoxylakis, Y. (2017). Fault Tolerance Using an SDN Pattern Framework. Paper presented at the IEEE Global Communications Conference 2017, 4-8 Dec 2017, Singapore.

Pino, L., Spanoudakis, G., Krotsiani, M. and Mahbub, K. (2017). Pattern Based Design and Verification of Secure Service Compositions. IEEE Transactions on Services Computing, doi: 10.1109/TSC.2017.2690430

Popov, P. T. (2017). Models of Reliability of Fault-Tolerant Software Under Cyber-Attacks. doi: 10.1109/ISSRE.2017.23 ISSN 2332-6549

Pozdniakov, K. (2017). A machine learning approach for smart computer security audit. (Unpublished Doctoral thesis, City, University of London)

Prasinos, M., Spanoudakis, G. and Koutsouris, D. (2017). Towards a Model-Driven Platform for Evidence based Public Health Policy Making. Paper presented at the The 29th International Conference on Software Engineering & Knowledge Engineering, 5-7 Jul 2017, Pittsburgh, USA.

Priego, E., McKiernan, E., Posada, A., Hartley, R., Rodriguez-Ortega, N., Fiormonte, D., Gil, A., Logan, C., Alperin, J.P., Mounce, R., Eglen, S., Miranda Trigueros, E., Lawson, S., Gatto, L., Ramos, A. and Pérez, N. (2017). Scholarly publishing, Freedom of Information and academic self-determination: The UNAM-Elsevier Case. Figshare, doi: 10.6084/m9.figshare.5632657.v1

R

Rajarajan, M. and Yogachandran, R. (2017). Efficient Privacy-Preserving Facial Expression Classification. IEEE Transactions on Dependable and Secure Computing, 14(3), pp. 326-338. doi: 10.1109/TDSC.2015.2453963

Reyes-Aldasoro, C. C. and Slabaugh, G. G. (2017). Special issue: medical image understanding and analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 5(5), p. 317. doi: 10.1080/21681163.2015.1081080

Riaz, A., Asad, M., Al-Arid, S. M. M. R., Alonso, E., Dima, D., Corr, P. J. and Slabaugh, G. G. (2017). FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI. Lecture Notes in Computer Science, 10511, pp. 70-78. doi: 10.1007/978-3-319-67159-8_9

Riaz, A., Asad, M., Alonso, E. and Slabaugh, G. G. (2017). Fusion of fMRI and Non-Imaging Data for ADHD Classification. Computerized Medical Imaging and Graphics, doi: 10.1016/j.compmedimag.2017.10.002

Rooney, C., Beecham, R., Dykes, J. ORCID: 0000-0002-8096-5763 and Wong, W. (2017). Dynamic Design Documents for supporting applied visualization. Poster presented at the IEEE VIS 2017, 01 - 06 Oct 2017, Phoenix, USA.

Russell, A. J., Benetos, E. and Garcez, A. (2017). On the Memory Properties of Recurrent Neural Models. Paper presented at the 2017 International Joint Conference on Neural Networks, 14-19 May 2017, Anchorage, USA.

S

Sacha, D., Al-Masoudi, F., Steinbrecher, M., Schreck, T., Keim, D., Andrienko, G. and Janetzko, H. (2017). Dynamic Visual Abstraction of Soccer Movement. Computer Graphics Forum, 36(3), pp. 305-315. doi: 10.1111/cgf.13189

Schmid, U., Zeller, C., Besold, T. R., Tamaddoni-Nezhad, A. and Muggleton, S. (2017). How does predicate invention affect human comprehensibility?. Lecture Notes in Computer Science, 10326, pp. 52-67. doi: 10.1007/978-3-319-63342-8_5

Schramm, A. C. M., Mota, E. D. S., Howe, J. M. and Garcez, A. S. D. (2017). Category-based Inductive Learning in Shared NeMuS. CEUR Workshop Proceedings, 2003, ISSN 1613-0073

Shahegh, P., Dietz, T., Cukier, M., Algaith, A., Brozik, A. and Gashi, I. (2017). AntiVirus and Malware Analysis Tool. Paper presented at the 16th IEEE International Symposium on Network Computing and Applications, 30 Oct - 1 Nov 2017, Boston, USA.

Shurkhovetskyy, G., Andrienko, N., Andrienko, G. and Fuchs, G. (2017). Data Abstraction for Visualizing Large Time Series. Computer Graphics Forum, doi: 10.1111/cgf.13237

Slabaugh, G. G., Gundry, M., Knapp, K., Asad, M. and Al Arif, S. M. M. R. (2017). Patch-based Corner Detection for Cervical Vertebrae in X-ray Images. Signal Processing: Image Communication, doi: 10.1016/j.image.2017.04.002

Slabaugh, G. G., Knapp, K. and Al-Arif, S. M. (2017). Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. Paper presented at the British Machine Vision Conference 2017, 4-7 Sep 2017, London, UK.

Slingsby, A. and van Loon, E. (2017). Temporal tile-maps for characterising the temporal occupancy of places: A seabird case study. presented at the 25th Geographical Information Science (GIS) Research UK Conference, 18 Apr 2017 - 21 Apr 2017, Manchester, UK.

Solis Lemus, J., Stramer, B., Slabaugh, G. G. and Reyes-Aldasoro, C. C. (2017). Segmentation of Overlapping Macrophages Using Anglegram Analysis. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Spanoudakis, G., Kikidis, D., Bibas, A., Katrakazas, P., Koutsouris, D. and Pontopidan, N. H. (2017). Public health policy for management of hearing impairments based on big data analytics: EVOTION at Genesis. Paper presented at the 17th IEEE International Bio-Informatics and Bio-Engineering Conference, 23-25 Oct 2017, Washington D.C., USA.

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Tenório, M. R., Mota, E. D. S., Howe, J. M. and Garcez, A. S. D. A. (2017). Learning about Actions and Events in Shared NeMuS. CEUR Workshop Proceedings, 2003, ISSN 1613-0073

Ter-Sarkisov, A. and Marsland, S. (2017). K-Bit-Swap: a new operator for real-coded evolutionary algorithms. Soft Computing, 21(20), pp. 6133-6142. doi: 10.1007/s00500-016-2170-6

Thudt, A. F., Perin, C., Willett, W.C. and Carpendale, S. (2017). Subjectivity in personal storytelling with visualization. Information Design Journal, 23(1), pp. 48-64. doi: 10.175/idj.23.1.07thu

Tietz, L. H. B., Katrakazas, P., Laplante-Lévesque, A., Pontoppidan, N. H., Koloutsou, N., Spanoudakis, G. and Koutsouris, D. (2017). Associations Between Hearing Performance and Physiological Measures - An Overview and Outlook. Studies in Health Technology and Informatics, 238, pp. 100-103. doi: 10.3233/978-1-61499-781-8-100

Turkay, C., Laramee, R. and Holzinger, A. (2017). On the challenges and opportunities in visualization for machine learning and knowledge extraction: A research agenda. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10410, pp. 191-198. doi: 10.1007/978-3-319-66808-6_13

W

Walny, J., Huron, S., Perin, C., Wun, T., Pusch, R. and Carpendale, S. (2017). Active Reading of Visualizations. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2745958

Waugh, S., McKay, D. and Makri, S. (2017). 'Too Much Serendipity': The Tension between Information Seeking and Encountering at the Library Shelves. In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval. (pp. 277-280). New York, NY, United States: ACM. ISBN 978-1-4503-4677-1

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Xu, K., Zhang, L., Pérez, D., Nguyen, P. and Ogilvie-Smith, A (2017). Evaluating Interactive Visualization of Multidimensional Data Projection with Feature Transformation. Multimodal Technologies and Interaction, 1(3), doi: 10.3390/mti1030013

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Yang, G., Zhuang, X., Khan, H., Haldar, S., Nyktari, E., Ye, X., Slabaugh, G. G., Wong, T., Mohiaddin, R., Keegan, J. and Firman, D. (2017). Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Yu, S., Dong, H., Yang, G., Slabaugh, G. G., Dragotti, P. L., Ye, X., Liu, F., Arridge, S., Keegan, J., Firmin, D. and Guo, Y. (2017). Deep De-Aliasing for Fast Compressive Sensing MRI. IEEE Transactions on Medical Imaging,

Z

Zarrin, J., Aguiar, R. L. and Barraca, J. P. (2017). HARD: Hybrid Adaptive Resource Discovery for Jungle Computing. Journal of Network and Computer Applications, 90, pp. 42-73. doi: 10.1016/j.jnca.2017.04.014

Zarrin, J., Aguiar, R. L. and Barraca, J. P. (2017). Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects. Simulation Modelling Practice and Theory, 72, pp. 168-201. doi: 10.1016/j.simpat.2016.12.014

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