Items where Schools and Departments is "Computer Science" and Year is 2017
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Abd Rahman, M. H., Nordin, A. I. & 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. & Velastin, S. (Eds.),
Advances in Visual Informatics. IVIC 2017.
International Visual Informatics Conference 2017, 28 - 30 November, Bangi, Malaysia.
doi: 10.1007/978-3-319-70010-6_50
Abdallah, S., Benetos, E., Gold, N. , Hargreaves, S., Weyde, T. & Wolff, D. (2017). The digital music lab: A big data infrastructure for digital musicology. Journal on Computing and Cultural Heritage, 10(1), pp. 1-21. doi: 10.1145/2983918
Abrishamchi, M. A. N., Abdullah, A. H., Cheok, A. D. ORCID: 0000-0001-6316-2339 & Bielawski, K. S. (2017).
Side channel attacks on smart home systems: A short overview.
In:
IECON 2017 - 43rd Annual Conference of the IEEE.
doi: 10.1109/IECON.2017.8217429
Abrishamchi, M. A. N., Abdullah, A. H., Cheok, A. D. ORCID: 0000-0001-6316-2339 & 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. & 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.
doi: 10.4108/eai.14-2-2017.152553
Achichi, M., Cheatham, M., Dragisic, Z. , Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. & Zamazal, O. (2017).
Results of the ontology alignment evaluation initiative 2017.
CEUR Workshop Proceedings, 2032,
pp. 61-113.
Al-Arif, S. M., Gundry, M., Knapp, K. & Slabaugh, G. G. (2017). Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. In: Yao, J., Vrtovec, T., Zheng, G. , Frangi, A., Glocker, B. & Li, S. (Eds.), Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. Lecture Notes in Computer Science, 10182. (pp. 3-15). Cham: Springer.
Al-Arif, S. M., Gundry, M., Slabaugh, G. G. & Knapp, K. (2017). Global Localization and Orientation of the Cervical Spine in X-ray Imaging. In: Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Computational Methods and Clinical Applications for Spine Imaging, 17 Oct 2016, Athens, Greece.
Albrecht, T., Slabaugh, G. G., Alonso, E. & Al-Arif, M. R. (2017). Deep Learning for Single-Molecule Science. Nanotechnology, 28(42), article number 423001. 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. & Vieira, M. R. (2017). Diversity with Intrusion Detection Systems: An Empirical Study. In: 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA). The 16th IEEE International Symposium on Network Computing and Applications, 30 Oct - 01 Nov 2017, Boston, USA. doi: 10.1109/NCA.2017.8171327
Andrienko, G., Andrienko, N., Chen, W. , Maciejewski, R. & Zhao, Y. (2017). Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions. IEEE Transactions on Intelligent Transportation Systems, 18(8), pp. 2232-2249. doi: 10.1109/tits.2017.2683539
Andrienko, G., Andrienko, N., Fuchs, G. & Wood, J. (2017). Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data. IEEE Transactions on Visualization and Computer Graphics, 23(9), pp. 2120-2136. doi: 10.1109/tvcg.2016.2616404
Andrienko, N. & Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization, 17(1), pp. 41-65. doi: 10.1177/1473871617692841
Anisetti, M., Ardagna, C. A., Damiani, E. , Maña, A. & 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. & 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
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Badra, F. & Besold, T. R. (2017). Preface. CEUR Workshop Proceedings, 2028, pp. 9-11.
Basaru, R. R., Child, C. H. T., Alonso, E. & 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.
Beecham, R., Dykes, J., Meulemans, W. , Slingsby, A., Turkay, C. & Wood, J. (2017). Map LineUps: effects of spatial structure on graphical inference. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 391-400. doi: 10.1109/tvcg.2016.2598862
Besold, T. R., Garcez, A.D, Stenning, K. , van der Torre, L. & van Lambalgen, M. (2017). Reasoning in non-probabilistic uncertainty: logic programming and neural-symbolic computing as examples. Minds and Machines, 27(1), pp. 37-77. doi: 10.1007/s11023-017-9428-3
Besold, T. R., Hedblom, M. M. & 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. & 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. & 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. & 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. & Netkachova, K. (2017). Security-informed safety: integrating security within the safety demonstration of a smart device. In: 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies. 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, 11-15 Jun 2017, San Francisco, USA.
Bojanczyk, M., Daviaud, L., Guillon, B. & Penelle, V. (2017). Which Classes of Origin Graphs Are Generated by Transducers. In: Chatzigiannakis, I., Indyk, P., Kuhn, F. & Muscholl, A. (Eds.), 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017). 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017), 10 - 14 July 2017, Warsaw, Poland.
Brown, D., Waugh, S., Bussone, A. & 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. & 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
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Cheok, A. D. ORCID: 0000-0001-6316-2339, Edirisinghe, C. & 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. & Zhang, E. Y. (2017).
Lovotics: Human - Robot Love and Sex Relationships.
In: Lin, P., Abney, K. & Jenkins, R. (Eds.),
Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence.
(pp. 193-213). Oxford University Press.
doi: 10.1093/oso/9780190652951.001.0001
Chicharro, D. ORCID: 0000-0002-4038-258X & Panzeri, S. (2017).
Synergy and redundancy in dual decompositions of mutual information gain and information loss.
Entropy, 19(2),
article number 71.
doi: 10.3390/e19020071
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. & Vouros, G. (2017).
Maritime data integration and analysis: Recent progress and research challenges.
Advances in Database Technology - EDBT, 2017-M,
pp. 192-197.
doi: 10.5441/002/edbt.2017.18
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Daviaud, L., Guillon, P. & Merlet, G. (2017). Comparison of max-plus automata and joint spectral radius of tropical matrices. In: Larsen, K. G., Bodlaender, H. L. & Raskin, J-F. (Eds.), 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017). 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017), 21 -25 August 2017, Aalborg, Denmark.
Daviaud, L., Jecker, I., Reynier, P-A. & Villevalois, D. (2017). Degree of Sequentiality of Weighted Automata. In: Foundations of Software Science and Computation Structures. FoSSaCS 2017. Foundations of Software Science and Computation Structures. FoSSaCS 2017, 24-27 April, Uppsala, Sweden. doi: 10.1007/978-3-662-54458-7_13
Daviaud, L. & Johnson, M. (2017). The Shortest Identities for Max-Plus Automata with Two States. In: Larsen, Kim G, Bodlaender, Hans L & Raskin, Jean-François (Eds.), 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017). 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017), 21 -25 August 2017, Aalborg, Denmark.
Denisova, A., Guckelsberger, C. & Zendle, D. (2017). Challenge in Digital Games: Towards Developing a Measurement Tool. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. (pp. 2511-2519). New York, USA: ACM Press. doi: 10.1145/3027063.3053209
Donadello, I., Serafini, L. & d'Avila Garcez, A. S. (2017). Logic tensor networks for semantic image interpretation. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. IJCAI 2017, 19-25 Aug 2017, Melbourne, Australia.
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Edwards, B. I., Khougali, N. H. O. & 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. & 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. & 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
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Frankowska-Takhari, S., MacFarlane, A., Goker, A. S. & Stumpf, S. (2017). Selecting and tailoring of images for visual impact in online journalism. Information Research, 22(1), article number 1619.
Fysarakis, K., Petroulakis, N., Roos, A. , Abbasi, K., Vizarreta, P., Petropoulos, G., Sakic, E., Spanoudakis, G. & 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). . IEEE. doi: 10.1109/ISCC.2017.8024604
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Galliers, J. R., Wilson, S., Marshall, J. , Talbot, R., Devane, N., Booth, T., Woolf, C. & Greenwood, H. (2017). Experiencing EVA Park, A Multi-User Virtual World For People With Aphasia. ACM Transactions on Accessible Computing, 10(4), pp. 1-24. doi: 10.1145/3134227
Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 (2017).
Sensorimotor Prediction with Neural Networks on Continuous Spaces.
Lecture Notes in Computer Science, 10613,
pp. 76-83.
doi: 10.1007/978-3-319-68600-4_10
Giannopoulos, P. ORCID: 0000-0002-6261-1961, Bonnet, E. & Lampis, M. (2017).
On the Parameterized Complexity of Red-Blue Points Separation.
In:
12th International Symposium on Parameterized and Exact Computation (IPEC 2017).
12th International Symposium on Parameterized and Exact Computation (IPEC 2017), 04 - 08 Sep 2017, Vienna, Austria.
doi: 10.4230/LIPIcs.IPEC.2017.8
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Harder, F. & 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.
Harrow, I., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Splendiani, A. , Romacker, M., Woollard, P., Markel, S., Alam-Faruque, Y., Koch, M., Malone, J. & Waaler, A. (2017).
Matching disease and phenotype ontologies in the ontology alignment evaluation initiative.
Journal of Biomedical Statistics, 8(1),
article number 55.
doi: 10.1186/s13326-017-0162-9
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. & Garcez, A. (2017). Inductive learning in Shared Neural Multi-Spaces. CEUR Workshop Proceedings, 2003,
Howe, J. M., Robbins, E. & King, A. (2017). Theory Learning with Symmetry Breaking. Proceedings of the 19th International Symposium on Principles and Practice of Declarative Programming, Part F, pp. 85-96. doi: 10.1145/3131851.3131861
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Jawaid, M. M., Rajani, R., Liatsis, P. , Reyes-Aldasoro, C. C. & Slabaugh, G. G. (2017). A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation. Computer Methods and Programs in Biomedicine, 144, pp. 189-202. doi: 10.1016/j.cmpb.2017.03.020
Jawaid, M. M., Rajani, R., Liatsis, P. , Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & 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., Riaz, A., Rajani, R. , Reyes-Aldasoro, C. C. & 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. & 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, 24(3), pp. 1232-1245. doi: 10.1109/tvcg.2017.2665498
Jimenez-Ruiz, E., Grau, B. C. & Cross, V. (2017). LogMap family participation in the OAEI 2017. CEUR Workshop Proceedings, 2032,
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Kharlamov, E., Hovland, D., Skjaeveland, M. G. , Bilidas, D., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Xiao, G., Soylu, A., Lanti, D., Rezk, M., Zheleznyakov, D., Giese, M., Lie, H., Ioannidis, Y., Kotidis, Y., Koubarakis, M. & Waaler, A. (2017).
Ontology Based Data Access in Statoil.
Journal of Web Semantics, 44,
pp. 3-36.
doi: 10.1016/j.websem.2017.05.005
Khiat, A., Yaman, B., Guerrini, G. , Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 & Karam, N (2017).
Boosting MultiFarm track with Turkish dataset.
CEUR Workshop Proceedings, 2032,
pp. 215-216.
Koloutsou, K., Kikidis, D., Spanoudakis, G. , Bibas, A. & 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. & Carpendale, S. (2017). MyBrush: Brushing and Linking with Personal Agency. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 605-615. doi: 10.1109/tvcg.2017.2743859
Krotsiani, M., Kloukinas, C. & Spanoudakis, G. (2017). Cloud Certification Process Validation using Formal Methods. In: Maximilien, M., Vallecillo, A., Wang, J. & Oriol, M. (Eds.), Service-Oriented Computing. ICSOC 2017. 15th International Conference on Service Oriented Computing (ICSOC 2017), 13-16 Nov 2017, Malaga, Spain.
Krotsiani, M., Kloukinas, C. & 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.
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Laird, A. R., Riedel, M. C., Okoe, M. , Jianu, R., Ray, K. L., Eickhoff, S. B., Smith, S. M., Fox, P. T. & 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. doi: 10.5771/0943-7444-2017-6-405
Loorak, M.H., Perin, C., Collins, C. & 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. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2017).
A Rescorla-Wagner Drift-Diffusion Model of Conditioning and Timing.
PLoS Computational Biology, 13(11),
article number e1005796.
doi: 10.1371/journal.pcbi.1005796
Luzardo, A., Rivest, F., Alonso, E. & 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
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Martinez, M., Abdel-Fattah, A. M. H., Krumnack, U. , Gomez-Ramirez, D., Smaill, A., Besold, T. R., Pease, A., Schmidt, M., Guhe, M. & 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
Meulemans, W., Dykes, J., Slingsby, A. , Turkay, C. & Wood, J. (2017). Small Multiples with Gaps. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 381-390. doi: 10.1109/tvcg.2016.2598542
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. & 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. & 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. doi: 10.1145/3132525.3132530
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Neate, T., Evans, M. & 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. doi: 10.1145/3077548.3077549
Neate, T., Jones, M. & 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. & 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
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O'Sullivan, D. & 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(12), article number 195. doi: 10.1007/s10916-017-0838-9
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Panteli, M., Benetos, E. ORCID: 0000-0002-6820-6764 & Dixon, S. (2017).
A computational study on outliers in world music.
PLOS ONE, 12(12),
article number e0189399.
doi: 10.1371/journal.pone.0189399
Pereira, S., Cross, V. & Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 (2017).
On partitioning for ontology alignment.
CEUR Workshop Proceedings, 1963,
Perin, C., Wun, T., Pusch, R. & Carpendale, S. (2017). Assessing the Graphical Perception of Time and Speed on 2D+Time Trajectories. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 698-708. doi: 10.1109/tvcg.2017.2743918
Pica, G., Piasini, E., Chicharro, D. ORCID: 0000-0002-4038-258X & Panzeri, S. (2017).
Invariant components of synergy, redundancy, and unique information among three variables.
Entropy, 19(9),
article number 451.
doi: 10.3390/e19090451
Pinkel, C., Binnig, C., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 , Kharlamov, E., Nikolov, A., Schwarte, A., Heupel, C. & Kraska, T. (2017).
INCMap: A Journey towards ontology-based data integration.
Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), 265,
pp. 145-164.
Popov, P. T. (2017). Models of Reliability of Fault-Tolerant Software Under Cyber-Attacks. In: 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE). IEEE 28th International Symposium on Software Reliability Engineering (ISSRE) (2017), 23-26 Oct 2017, Toulouse, France. doi: 10.1109/ISSRE.2017.23
Power, C., Denisova, A., Papaioannou, T. & Cairns, P. (2017). Measuring Uncertainty in Games: Design and Preliminary Validation. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. (pp. 2839-2845). New York, USA: ACM Press. doi: 10.1145/3027063.3053215
Pozdniakov, K. (2017). A machine learning approach for smart computer security audit. (Unpublished Doctoral thesis, City, University of London)
Prasinos, M., Spanoudakis, G. & Koutsouris, D. (2017). Towards a Model-Driven Platform for Evidence based Public Health Policy Making. In: SEKE 2017 Proceedings of the 29th International COnference on Software Engineering & Knowledge Engineering. 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. & Pérez, N. (2017). Scholarly publishing, Freedom of Information and academic self-determination: The UNAM-Elsevier Case. Figshare, doi: 10.6084/m9.figshare.5632657.v1
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Rajarajan, M. & 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. & Slabaugh, G. G. (2017). Special issue: medical image understanding and analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 5(5), article number 317. doi: 10.1080/21681163.2015.1081080
Riaz, A., Asad, M., Al-Arid, S. M. M. R. , Alonso, E., Dima, D., Corr, P. J. & 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. & Slabaugh, G. G. (2017). Fusion of fMRI and Non-Imaging Data for ADHD Classification. Computerized Medical Imaging and Graphics, 65, pp. 115-128. doi: 10.1016/j.compmedimag.2017.10.002
Rooney, C., Beecham, R., Dykes, J. ORCID: 0000-0002-8096-5763 & 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. & 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.
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Sacha, D., Al-Masoudi, F., Steinbrecher, M. , Schreck, T., Keim, D., Andrienko, G. & Janetzko, H. (2017). Dynamic Visual Abstraction of Soccer Movement. Computer Graphics Forum, 36(3), pp. 305-315. doi: 10.1111/cgf.13189
Sathiyanarayanan, M. ORCID: 0000-0002-8598-1949 (2017).
Improving Visual Investigation Analysis of Digital Communication Data within E-discovery.
Paper presented at the VIS 2017, 1-6 Oct 2017, Phoenix, USA.
Sathiyanarayanan, M. ORCID: 0000-0002-8598-1949 & Turkay, C. ORCID: 0000-0001-6788-251X (2017).
Challenges and Opportunities in using Analytics Combined with Visualisation Techniques for Finding Anomalies in Digital Communications.
Paper presented at the The 16th International Conference on Artificial Intelligence and Law, 12- 16 Jun, 2017, London, United kingdom.
Sathiyanarayanan, M. ORCID: 0000-0002-8598-1949, Turkay, C. ORCID: 0000-0001-6788-251X & Fadahunsi, O. (2017).
Design of Small Multiples Matrix-based Visualisation to Understand E-mail Socio-organisational Relationships.
Paper presented at the 10th International Conference on Communication Systems & Networks (COMSNETS), 3 - 7 January 2018, Bengaluru, India.
Schmid, U., Zeller, C., Besold, T. R. , Tamaddoni-Nezhad, A. & 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. & Garcez, A. S. D. (2017). Category-based Inductive Learning in Shared NeMuS. CEUR Workshop Proceedings, 2003,
Shahegh, P., Dietz, T., Cukier, M. , Algaith, A., Brozik, A. & Gashi, I. (2017). AntiVirus and Malware Analysis Tool. In: 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA). 16th IEEE International Symposium on Network Computing and Applications, 30 Oct - 1 Nov 2017, Boston, USA.
Shurkhovetskyy, G., Andrienko, N., Andrienko, G. & Fuchs, G. (2017). Data Abstraction for Visualizing Large Time Series. Computer Graphics Forum, 37(1), pp. 125-144. doi: 10.1111/cgf.13237
Slabaugh, G. G., Gundry, M., Knapp, K. , Asad, M. & Al Arif, S. M. M. R. (2017). Patch-based Corner Detection for Cervical Vertebrae in X-ray Images. Signal Processing: Image Communication, 59, pp. 27-36. doi: 10.1016/j.image.2017.04.002
Slabaugh, G. G., Knapp, K. & Al-Arif, S. M. (2017). Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. In: Proceedings of the British Machine Vision Conference (BMVC). (154.1-154.12). BMVA Press.
Slingsby, A. & van Loon, E. (2017). Temporal tile-maps for characterising the temporal occupancy of places: A seabird case study. In: GISRUK 2017 Proceedings. 25th Geographical Information Science (GIS) Research UK Conference, 18 Apr 2017 - 21 Apr 2017, Manchester, UK.
Solimando, A., Jimenez-Ruiz, E. & Guerrini, G. (2017). Minimizing conservativity violations in ontology alignments: algorithms and evaluation. Knowledge and Information Systems, 51(3), pp. 775-819. doi: 10.1007/s10115-016-0983-3
Solis Lemus, J., Stramer, B., Slabaugh, G. G. & 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.
Soylu, A., Giese, M., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 , Kharlamov, E., Zheleznyakov, D. & Horrocks, I. (2017).
Ontology-based end-user visual query formulation: Why, what, who, how, and which?.
Universal Access in the Information Society, 16(2),
pp. 435-467.
doi: 10.1007/s10209-016-0465-0
Soylu, A., Giese, M., Schlatte, R. , Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Kharlamov, E., Ozcep, O., Neuenstadt, C. & Brandt, S. (2017).
Querying industrial stream-temporal data: An ontology-based visual approach.
Journal of Ambient Intelligence and Smart Environments, 9(1),
pp. 77-95.
doi: 10.3233/ais-160415
T
Tenório, M. R., Mota, E. D. S., Howe, J. M. & Garcez, A. S. D. A. (2017). Learning about Actions and Events in Shared NeMuS. In: CEUR Workshop Proceedings. Twelfth International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2017), July 17-18, 2017, London, UK.
Ter-Sarkisov, A. & 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
Ter-Sarkisov, A., Ross, R. J. & Kelleher, J. D. (2017). Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis. In: 2017 14th Conference on Computer and Robot Vision (CRV). doi: 10.1109/CRV.2017.25
Thudt, A. F., Perin, C., Willett, W.C. & Carpendale, S. (2017). Subjectivity in personal storytelling with visualization. Information Design Journal, 23(1), pp. 48-64. doi: 10.1075/idj.23.1.07thu
Tietz, L. H. B., Katrakazas, P., Laplante-Lévesque, A. , Pontoppidan, N. H., Koloutsou, N., Spanoudakis, G. & 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
Tran, S. N., Cherla, S., Garcez, A. & Weyde, T. (2017). The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR,
Turkay, C., Laramee, R. & 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
Tzelepis, C. ORCID: 0000-0002-2036-9089, Mezaris, V. & Patras, I. (2017).
Linear Maximum Margin Classifier for Learning from Uncertain Data.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12),
pp. 2948-2962.
doi: 10.1109/tpami.2017.2772235
V
Vedadi, S., Abdullah, Z. B., Arsovski, S. , Cheok, A. D. ORCID: 0000-0001-6316-2339 & Aris, B. B. (2017).
The Impact of Augmented Reality on Vocabulary Acquisition in Iran.
Advanced Science Letters, 23(9),
pp. 9098-9100.
doi: 10.1166/asl.2017.10031
W
Walny, J., Huron, S., Perin, C. , Wun, T., Pusch, R. & Carpendale, S. (2017). Active Reading of Visualizations. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 770-780. doi: 10.1109/tvcg.2017.2745958
Waugh, S., McKay, D. & 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. doi: 10.1145/3020165.3022132
X
Xu, K., Zhang, L., Pérez, D. , Nguyen, P. & Ogilvie-Smith, A (2017). Evaluating Interactive Visualization of Multidimensional Data Projection with Feature Transformation. Multimodal Technologies and Interaction, 1(3), doi: 10.3390/mti1030013
Y
Yang, G., Zhuang, X., Khan, H. , Haldar, S., Nyktari, E., Ye, X., Slabaugh, G. G., Wong, T., Mohiaddin, R., Keegan, J. & 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. & Guo, Y. (2017). Deep De-Aliasing for Fast Compressive Sensing MRI. IEEE Transactions on Medical Imaging,
Z
Zarrin, J., Aguiar, R. L. & 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. & 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