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  1. Stell, J. G., Schmidt, R., & Rydeheard, D. (2016). A Bi-Intuitionistic Modal Logic: Foundations and Automation. Journal of Logical and Algebraic Methods in Programming, 85(4), 500-519. DOI: 10.1016/j.jlamp.2015.11.003. Publication link: eb6b44e1-4c1b-4d42-b172-db0414406b98
  2. Liao, H., Li, Z., Zeng, X., & Liu, W. (2016). A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations. International Journal of Computational Intelligence Systems. . Publication link: 0ba4b1ef-e367-44e1-b0e6-db7e92f77784
  3. Goulermas, J. Y., Kostopoulos, A., & Mu, T. (2016). A New Measure for Analyzing and Fusing Sequences of Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(5), [833-848]. DOI: 10.1109/TPAMI.2015.2470671. Publication link: 6322e42e-63ce-4c1e-9139-444d3e7358cf
  4. Werner, S., Navaridas Palma, J., & Lujan, M. (2016). A Survey on Design Approaches to Circumvent Permanent Faults in Networks-on-Chip. ACM Computing Surveys . . Publication link: dcba7e6d-ec16-4844-8f49-1720c2938f52
  5. Teh, P. S., Zhang, N., Teoh, A. B. J., & Chen, K. (2016). A Survey on Touch Dynamics Authentication in Mobile Devices. Computers and Security. . Publication link: d7b90082-e987-417a-8ca0-bd8e3e069a5a
  6. Dongarra, J., Heroux, M. A., & Luszczek, P. (2016). A new metric for ranking high-performance computing systems. National Science Review, 3(1), 30-35. DOI: 10.1093/nsr/nwv084. Publication link: a898173c-4875-4255-ae90-060c9047e71f
  7. Duck, G., Nenadic, G., Filannino, M., Brass, A., Robertson, D. L., & Stevens, R. (2016). A survey of bioinformatics database and software usage through mining the literature. PLoS ONE, 11(6), [e0157989]. DOI: 10.1371/journal.pone.0157989. Publication link: d48c4b39-7ddb-4c86-ba6c-849b6f8f1a20
  8. Moreau-Luchaire, C., Moutafis, C., Reyren, N., Sampaio, J., Vaz, C. A. F., Horne, N. V., ... Fert, A. (2016). Additive interfacial chiral interaction in multilayers for stabilization of small individual skyrmions at room temperature. Nature Nanotechnology, 11, 444–448. DOI: 10.1038/nnano.2015.313. Publication link: eaf51823-2742-4948-bdf7-80fd08a5a4bf
  9. Al-Riyami, A., Zhang, N., & Keane, J. (2016). An Adaptive Early Node Compromise Detection Scheme for Hierarchical WSNs. IEEE Access, 4. DOI: 10.1109/ACCESS.2016.2594478. Publication link: 2f8f4fc4-8c2d-4748-8016-62fa62df06b6
  10. Field, L., & Sakellariou, R. (2016). An Evaluation of Information Consistency in Grid Information Systems. Journal of Grid Computing, 1-11. DOI: 10.1007/s10723-016-9373-z. Publication link: 0be15fc6-fa37-4280-9a5c-55b183aef722
  11. Liaoa, H., Xua, Z., Zeng, X., & Xu, D-L. (2016). An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations. Information Sciences, 329, 274-286. DOI: 10.1016/j.ins.2015.09.024. Publication link: 73e1bea6-a1e6-48f4-9282-aa3ea4e02a2b
  12. Erikson, A., E. Kiasari, A., Navaridas Palma, J., & Stewart, I. A. (2016). An optimal single-path routing algorithm in the Datacenter Network DPillar. IEEE Transactions on Parallel and Distributed Systems. DOI: 10.1109/TPDS.2016.2591011. Publication link: ca4767a2-3897-4ddb-a238-cbb19785b97a
  13. Korkontzelos, I., Azadeh Nikfarjamb, Shardlow, M., Sarkerb, A., Ananiadou, S., & Graciela H. Gonzalez (2016). Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. Journal of Biomedical Informatics, 62, 148–158. DOI: 10.1016/j.jbi.2016.06.007. Publication link: 70a3f77e-6614-46d5-9467-d4572d518319
  14. Batista-Navarro, R. T., Carter, J., & Ananiadou, S. (2016). Argo: Enabling the development of bespoke workflows and services for disease annotation. Database: The Journal of Biological Databases and Curation. DOI: 10.1093/database/baw066. Publication link: f6f973f9-77c1-4089-af5d-1932ef468a09
  15. Milosevic, N., & Nenadic, G. (2016). As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian. ArXiv. . Publication link: a723bd68-7ffa-4145-899e-2e77b585ac46
  16. Liu, Q., Pineda garcia, G., Stromatias, E., Serrano-Gotarredona, T., & Furber, S. (2016). Benchmarking Spike-Based Visual Recognition: a Dataset and Evaluation. Frontiers in Neuroscience, 10, [496]. DOI: 10.3389/fnins.2016.00496. Publication link: 56af59c0-610c-4646-ab7e-8b3ffa19a6e5
  17. Hardisty, A. R., Bacall, F., Beard, N., Balcázar-Vargas, M. P., Balech, B., Barcza, Z., ... Yilmaz, P. (2016). BioVeL: A virtual laboratory for data analysis and modelling in biodiversity science and ecology. Ecology, 16(1), [49]. DOI: 10.1186/s12898-016-0103-y. Publication link: 13800686-d926-4f57-a04d-366776e43a33
  18. Bhattacharya, B. S., Bond, T. P., O'Hare, L., Turner, D., & Durrant, S. J. (2016). Causal Role of Thalamic Interneurons in Brain State Transitions: A Study Using a Neural Mass Model Implementing Synaptic Kinetics. Frontiers in Computational Neuroscience, 10, 115. DOI: 10.3389/fncom.2016.00115. Publication link: cda80a8e-ce57-4e84-98bb-89be5eaecc1d | PubMed:27899890
  19. Morris, D., Fowler, R., & Turner, M. (2016). Collaborative Computation Projects’ Visualisation Applications Survey. Eurographics Proceedings. . Publication link: 3ae969e7-5848-4a3e-8178-4d379506d963
  20. Clinch, S., Davies, N., Mikusz, M., Metzger, P., Langheinrich, M., Schmidt, A., & Ward, G. (2016). Collecting Shared Experiences through Lifelogging: Lessons Learned. IEEE Pervasive Computing , 15, 58-67. DOI: 10.1109/MPRV.2016.6. Publication link: 8aa8d511-fb5a-44a6-808d-fea49f5c3a2a
  21. Yiapanis, P., Brown, G., & Lujan, M. (2016). Compiler-Driven Software Speculation for Thread-level Parallelism. ACM Transactions on Programming Languages and Systems, 38(2), [5]. DOI: 10.1145/2821505. Publication link: 337e40a6-7b5e-4c38-943c-0b2237844588
  22. Bryan, M. T., Heldt, G., Thomson, T., Heyderman, L. J., & Hrkac, G. (2016). Complex spin configurations in hybrid magnetic multilayer structures due to mutual spin imprinting. Physical Review B: Condensed Matter and Materials Physics, 94, [104415]. DOI: 10.1103/PhysRevB.94.104415. Publication link: 608a17c1-b1b6-4010-9f76-4a4fa1cd1d09
  23. Wu, Y., Mu, T., Liatsis, P., & John, G. (2016). Computation of Heterogeneous Object Co-embeddings from Relational Measurements. Pattern Recognition. DOI: 10.1016/j.patcog.2016.12.004. Publication link: da6cbd47-c5c5-4151-8d87-ca82d5dec7b1
  24. Loucopoulos, P., & Fayoumi, A. (2016). Conceptual Modeling for the Design of Intelligent and Emergent Information Systems. Expert Systems with Applications, 59, 174-194. DOI: 10.1016/j.eswa.2016.04.019. Publication link: 382e549b-eaa8-4a81-a047-1c70ec2a8226
  25. Banach, R., Michael Butler, Qin, S., & Zhu, H. (2016). Core Hybrid Event-B II. Science of Computer Programming. DOI: 10.1016/j.scico.2015.02.003. Publication link: 6fa26e01-59da-400c-bb3e-5bb62239f0ba
  26. Nikolaou, N., Narayanan Edakunni, Kull, M., Flach, P., & Brown, G. (2016). Cost-sensitive boosting algorithms:Do we really need them?Machine Learning, 104(2), 359–384. DOI: 10.1007/s10994-016-5572-x. Publication link: b11d947a-4d5e-4d12-a4ee-6bf62e3e264c
  27. Navarro Lopez, E., & Rebekah Carter (2016). Deadness and how to disprove liveness in hybrid dynamical systems. Theoretical Computer Science, 642, 1-23. DOI: 10.1016/j.tcs.2016.06.009. Publication link: 5cdab9d9-5aaa-4af4-9721-fd260dc278de
  28. Wong-McSweeney, D., Woodcock, J., Waddington, D., Peris, E., Koziel, Z., Moorhouse, A., & Redel-Macías, M. D. (2016). Effect of attitudinal, situational and demographic factors on annoyance due to environmental vibration and noise from construction of a light rapid transit system. International Journal of Environmental Research and Public Health, 13(12), [1237]. DOI: 10.3390/ijerph13121237. Publication link: fedd1f96-3752-475f-aba4-a0c071d97a18
  29. Bisig, A., Akosa, C. A., Moon, J. H., Rhensius, J., Moutafis, C., Von Bieren, A., ... Kläui, M. (2016). Enhanced Nonadiabaticity in Vortex Cores due to the Emergent Hall Effect. Physical Review Letters, 117(27), [277203]. DOI: 10.1103/PhysRevLett.117.277203. Publication link: 5323ca09-daf3-4593-a99d-f848f1a5ca0c
  30. Thompson, P., Nawaz, R., McNaught, J., & Ananiadou, S. (2016). Enriching News Events with Meta-knowledge Information. Language Resources and Evaluation, 1–30. DOI: 10.1007/s10579-016-9344-9. Publication link: 8750fd86-3ceb-4823-90c4-1c157980d936
  31. Milosevic, N. (2016). Equity forecast: Predicting long term stock price movement using machine learning. Journal of Economics Library, 3(2), 288-294. [750]. DOI: 10.1453/jel.v3i2.750. Publication link: b212b59d-caf2-465d-bd8e-450c7eb3820b
  32. Pöhlmann, S., Harkness, E., Taylor, C., & Astley, S. (2016). Evaluation of Kinect 3D Sensor for Healthcare Imaging. Journal of Medical and Biological Engineering, 36(6), 857-870. DOI: 10.1007/s40846-016-0184-2. Publication link: 0195978c-951e-41a1-8033-a22c3e2f4e47
  33. Davies, A., Brown, G., Vigo, M., Harper, S., Horseman, L., Splendiani, B., ... Jay, C. (2016). Exploring the Relationship Between Eye Movements and Electrocardiogram Interpretation Accuracy. Scientific Reports, 1-13. [6]. DOI: 10.1038/srep38227. Publication link: ad9d08ae-ca38-42e8-9986-8b491b665227
  34. Aizpurua, A., Harper, S., & Vigo, M. (2016). Exploring the Relationship between Web Accessibility and User Experience. International Journal of Human-Computer Studies, 91, 13-23. DOI: 10.1016/j.ijhcs.2016.03.008. Publication link: 4660f125-7563-4596-91c5-f3fd0c6972ee
  35. Madl, T., Franklin, S., Chen, K., Trappl, R., & Montaldi, D. (2016). Exploring the structure of spatial representations. PLoS One., 11(6), [ e0157343]. DOI: 10.1371/journal.pone.0157343. Publication link: 8c799f2a-4817-45fa-a41f-d866b6bd068a
  36. Wolstencroft, K., Krebs, O., Snoep, J., Stanford, N. J., Bacall, F., Golebiewski, M., ... Goble, C. (2016). FAIRDOMHub: a repository and collaboration environment for sharing systems biology research. Nucleic Acids Research, 45(D1), D404-D407. DOI: 10.1093/nar/gkw1032, 10.1093/nar/gkw1032. Publication link: 4395a36c-e1aa-4871-9375-5ab814ef2e74 | PubMed:27899646
  37. Kyle, D., Oikonomou, A., Hill, E., Vijayaraghavan, A., & Bayat, A. (2016). Fabrication and modelling of fractal, biomimetic, micro and nano-topographical surfaces. Bioinspiration & Biomimetics, 11(4), [046009]. DOI: 10.1088/1748-3190/11/4/046009. Publication link: 5efa2f40-f013-449b-afd8-819ae2b22e18
  38. Yousefzadeh, A., Plana Cabrera, L., Temple, S., Serrano-Gotarredona, T., Furber, S., & Linares-Barranco, B. (2016). Fast Predictive Handshaking in Synchronous FPGAs for Fully Asynchronous Multi-Symbol Chip Links. Application to SpiNNaker 2-of-7 Links. IEEE Transactions on Circuits and Systems. Part 2: Express Briefs, 63(8), 763-767. DOI: 10.1109/TCSII.2016.2531092. Publication link: 878ef4a0-5b36-48bb-aad6-9fd81d53265c
  39. Morgan, D., Poolman, T., Williamson, A., Wang, Z., Clark, N. R., Ma’ayan, A., ... Ray, D. (2016). Glucocorticoid receptor isoforms direct distinct mitochondrial programs to regulate ATP production. Scientific Reports. DOI: 10.1038/srep26419. Publication link: 9d4f2461-d34c-4271-97e0-bbe687611e80
  40. Auton, G., Zhang, J., Krishna Kumar, R., Wang, H., Zhang, X., Hill, E., & Song, A. (2016). Graphene ballistic nano-rectifier with very high responsivity. Nature communications, 7, [11670]. DOI: 10.1038/ncomms11670. Publication link: 59e64098-a012-4b1b-adfc-ff295798d364
  41. Auton, G., Krishna Kumar, R., Hill, E., & Song, A. (2016). Graphene triangular ballistic rectifier: fabrication and characterization. Journal of Electronic Materials, 1-7. DOI: 10.1007/s11664-016-4938-y. Publication link: fa1aeef3-af34-486e-8ded-725e44fa3445
  42. Brajnik, G., Vigo, M., Yesilada, Y., & Harper, S. (2016). Group versus Individual Web Accessibility Evaluations: Effects with Novice Evaluators. Interacting with Computers, 28(6), 843-861. DOI: 10.1093/iwc/iww006, 10.1093/iwc/iww006. Publication link: 3f95b122-2f73-44c7-a175-949522803ffa
  43. Qiao, J., Li, W., Zeng, X., & Han, H. (2016). Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis. Applied Soft Computing Journal, 49, 524-543. DOI: 10.1016/j.asoc.2016.08.009. Publication link: 26f998ed-2832-4e8d-9110-bbd99d2ed586
  44. Al-Riyami, A., Zhang, N., & Keane, J. (2016). Impact of Hash Value Truncation on ID Anonymity in Wireless Sensor Networks. Ad Hoc Networks, 45, 80-103. DOI: 10.1016/j.adhoc.2016.02.019. Publication link: 85a9bf6d-e6a6-4900-9a09-ea6b28fe8388
  45. Kurzak, J., Anzt, H., Gates, M., & Dongarra, J. (2016). Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs. IEEE Transactions on Parallel and Distributed Systems, 27(7), 2036-2048. [7275187]. DOI: 10.1109/TPDS.2015.2481890. Publication link: f81e1266-b82a-4be6-884b-8e63a5a49a18
  46. Furber, S. (2016). Large-Scale Neuromorphic Computing Systems. Journal of Neural Engineering. DOI: 10.1088/1741-2560/13/5/051001. Publication link: a49527f0-4f4d-418d-b26f-3955c5d09bfa
  47. Knight, J. C., Tully, P. J., Kaplan, B. A., Lansner, A., & Furber, S. (2016). Large-scale simulations of plastic neural networks on neuromorphic hardware. Frontiers in Neuroanatomy, 10(37), [37]. DOI: 10.3389/fnana.2016.00037. Publication link: fed200ed-cd0f-43ae-8a1b-e76f6dff929f
  48. Sandouk, U., & Chen, K. (2016). Learning Contextualized Music Semantics from Tags via a Siamese Neural Network. ACM Transactions on Intelligent Systems and Technology , 8(2), [24]. DOI: 10.1145/2953886. Publication link: 7b02c0b6-3b03-491c-839b-71d670895848
  49. Sandouk, U., & Chen, K. (2016). Learning Contextualized Semantics from Co-occurring Terms via a Siamese Architecture. Neural Networks, 76, 65-96. [NN3581]. DOI: 10.1016/j.neunet.2016.01.004. Publication link: 5aff57a0-f3f2-4279-9abd-3ab9b5980c3c
  50. Abdelfattah, A., Anzt, H., Dongarra, J., Gates, M., Haidar, A., Kurzak, J., ... YarKhan, A. (2016). Linear algebra software for large-scale accelerated multicore computing. Acta Numerica. DOI: 10.1017/S0962492916000015. Publication link: a4d69cb8-a2c9-43fc-a6b6-942795fc4f51
  51. Gao, X., Mu, T., & Wang, M. (2016). Local voting based multi-view embedding. Neurocomputing, 171, 901-909. DOI: 10.1016/j.neucom.2015.07.043. Publication link: ffc72ade-b026-41ae-9f13-cc33114ba5f9
  52. Gorgovan, C., D'Antras, A., & Lujan, M. (2016). MAMBO: A low overhead dynamic binary modification tool for ARM. ACM Transactions on Architecture and Code Optimization, 13(1), [14]. DOI: 10.1145/2896451. Publication link: 076a9d5b-1dc7-4be9-b1a4-b68264acb124
  53. Alnazzawi, N., Thompson, P., & Ananiadou, S. (2016). Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain- Specific Terminological Resource. PLoS One., 11(9), [e0162287]. DOI: 10.1371/journal.pone.0162287. Publication link: 8ddb1a3d-bf6f-4aa0-aa34-82bb933777a4
  54. Pietri, I., & Sakellariou, R. (2016). Mapping Virtual Machines onto Physical Machines in Cloud Computing: A Survey. ACM Computing Surveys , 49(3), [49]. DOI: 10.1145/2983575. Publication link: b58e0d31-1437-4150-9bd2-a01207ee6e7d
  55. Ren, J., Zhao, L., Liu, L., & Li, B. (2016). Measuring Service Utilities in Service Value Networks. International Journal of Information Systems in the Service Sector. . Publication link: 1221f16f-f940-4feb-ae7f-948e363bc4db
  56. Karystianis, G., Sheppard, T., Dixon, W. G., & Nenadic, G. (2016). Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database.BMC Medical Informatics and Decision Making, 16(1). DOI: 10.1186/s12911-016-0255-x. Publication link: 0833526c-e904-4a5b-8ac6-48d29dba5189 | PubMed:26860263
  57. Galloway, J. M., Bird, S. M., Talbot, J., Shepley, P. M., Bradley, R. C., El-Zubir, O., ... Critchley, K. (2016). Nano- and micro-patterning biotemplated magnetic CoPt arrays. Nanoscale, 8(22), 11738-11747. DOI: 10.1039/c6nr03330j. Publication link: 9a3c842b-40b9-4010-b059-1733961493b4
  58. Jay, C., Harper, S., Dunlop, I., Smith, S., Sufi, S. A., Goble, C., & Buchan, I. (2016). Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search. Journal of medical Internet research, 18(1). DOI: 10.2196/jmir.4912. Publication link: 3072b312-c090-44e4-a215-4468e7e50fa8
  59. Labecki, M., Kus, R., Brzozowska, A., Stacewicz, T., Sen Bhattacharya, B., & Suffczynski, P. (2016). Nonlinear Origin of SSVEP Spectra—A Combined Experimental and Modeling Study. Frontiers in Computational Neuroscience, 10, [129]. DOI: 10.3389/fncom.2016.00129. Publication link: be1d4300-307e-4fc9-881f-3a2879da947c
  60. Anzt, H., Kreutzer, M., Ponce, E., Peterson, G., Wellein, G., & Dongarra, J. (2016). Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. International Journal of High Performance Computing Applications, 1-11. DOI: 10.1177/1094342016646844. Publication link: 46d836fb-497b-420e-99e7-8775da8f19ac
  61. D'Antras, A., Gorgovan, C., Garside, J., & Luján, M. (2016). Optimizing Indirect Branches in Dynamic Binary Translators. ACM Transactions on Architecture and Code Optimization, 13(1), [7]. DOI: 10.1145/2866573. Publication link: fb71654b-005c-4b24-be3f-8a582f3ebf89
  62. Mosa, A., & Paton, N. W. (2016). Optimizing virtual machine placement for energy and SLA in clouds using utility functions. Journal of Cloud Computing, 5(1), [17]. DOI: 10.1186/s13677-016-0067-7. Publication link: 13ebe598-b8af-448d-b061-be7faef70260
  63. Wang, Q., Abdul, S. S., Almeida, L., Ananiadou, S., Balderas-Martínez, Y. I., Batista-Navarro, R., ... Arighi, C. N. (2016). Overview of the interactive task in BioCreative V. Database, 2016, [baw119]. DOI: 10.1093/database/baw119. Publication link: 199c0e58-4cf5-40fc-9827-ffea64f29029
  64. Abdelfattah, A., Ltaief, H., Keyes, D., & Dongarra, J. (2016). Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs. Concurrency and Computation: Practice and Experience. DOI: 10.1002/cpe.3874. Publication link: f847a51c-ccca-4ddc-a050-50f06e00554b
  65. lucanin, D., Pietri, I., holmbacka, S., Brandic, I., lilius, J., & Sakellariou, R. (2016). Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. IEEE Transactions on Cloud Computing. DOI: 10.1109/TCC.2016.2628368. Publication link: 15dc2cb3-498a-45ec-8950-cf1ec441016c
  66. YarKhan, A., Kurzak, J., Luszczek, P., & Dongarra, J. (2016). Porting the PLASMA Numerical Library to the OpenMP Standard. International Journal of Parallel Programming, 1-22. DOI: 10.1007/s10766-016-0441-6. Publication link: 1d508689-11a3-4d49-8585-8f30333cdf87
  67. Siddique, A., Ansari, M., & Luján, M. (2016). Purge-Rehab: Eager Software Transactional Memory with High Performance Under Contention. International Journal of Parallel Programming, 44(6), 1359-1383. DOI: 10.1007/s10766-016-0427-4. Publication link: e3292cf6-9c89-464e-a1f8-2c0f6e21401b
  68. Stivaros, S., Radon, M., Keane, J., Griffiths, P., Mileva, R., Connolly, D., ... Batty, R. (2016). Quantification of structural changes in the corpus callosumin children with profound hypoxic–ischaemic brain injury. Pediatric Radiology, 1-9. . Publication link: a1b93708-979c-484f-aed3-669c9ea328f7
  69. Swainston, N., Smallbone, K., Hefzi, H., Dobson, P. D., Brewer, J., Hanscho, M., ... Mendes, P. (2016). Recon 2.2: from reconstruction to model of human metabolism. Metabolomics : Official journal of the Metabolomic Society, 12, 109. DOI: 10.1007/s11306-016-1051-4. Publication link: b446001f-127f-4d1d-8b62-2071f45d817b | PubMed:27358602
  70. Carbonell, P., Currin, A., Dunstan, M., Fellows, D., Jervis, A., Rattray, N. J. W., ... Turner, N. J. (2016). SYNBIOCHEM - A SynBio foundry for the biosynthesis and sustainable production of fine and speciality chemicals.Biochemical Society Transactions, 44(3), 675-7. DOI: 10.1042/BST20160009. Publication link: 230b6a5b-8b99-4c32-9285-03bc1b0e20b1 | PubMed:27284023
  71. Feuvre, R. L., Carbonell, P., Currin, A., Dunstan, M., Fellows, D., Jervis, A., ... Turner, N. J. (2016). SYNBIOCHEM Synthetic Biology Research Centre, Manchester - A UK foundry for fine and speciality chemicals production. Synthetic and Systems Biotechnology. DOI: 10.1016/j.synbio.2016.07.001. Publication link: 0ad51c53-08d0-4c69-b469-c9975abca512
  72. Eraslan, S., Yesilada, Y., & Harper, S. (2016). Scanpath Trend Analysis on Web Pages: Clustering Eye Tracking Scanpaths. ACM Transactions on the Web. DOI: 10.1145/2970818. Publication link: 9842902f-51a4-48a8-91b8-2a5281044e78
  73. Griffiths, R., Nutter, P., Neumann, A., Thönnißen , . C., Wilhelm , E-S., & Thomson, T. (2016). Signal Asymmetries in the Anomalous Hall Effect of Bilayer Magnetic Nanostructures. Applied Physics Letters. DOI: 10.1063/1.4963231. Publication link: 30b57063-b32b-46ba-a397-62daabbb4f4d
  74. Hoyle, D. C., & Brass, A. (2016). Statistical mechanics of ontology based annotations. Physica A: Statistical Mechanics and its Applications, 442, 284-299. . Publication link: 41a7e1f0-c408-44e5-878b-6a12b6170e58
  75. Duque-Ramos, A., Quesada-Martinez, M., Iniesta-Moreno, M., Fernandez-Breis , J. T., & Stevens, R. (2016). Supporting the analysis of ontology evolution processes through the combination of static and dynamic scaling functions in OQuaRE. Journal of Biomedical Semantics, 7. DOI: 10.1186/s13326-016-0091-z. Publication link: c5b29d45-673b-45f2-84e7-c4a29668440e
  76. Clinch, S., Alexander, J., & Gehring, S. (2016). Survey Paper: Pervasive Displays for Information Presentation. IEEE Pervasive Computing, 15(3), 14-22. DOI: 10.1109/MPRV.2016.55. Publication link: 5d10bfa3-e239-4bce-af17-81fa54deccf8
  77. Knight, J., & Furber, S. (2016). Synapse-centric mapping of cortical models to the SpiNNaker neuromorphic architecture. Frontiers in Neuroscience, 10, [420]. DOI: 10.3389/fnins.2016.00420 . Publication link: 15eb534c-1f20-45ea-9d78-95d032cb8cec
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  1. Ramesh, G., Turner, M., & Wortmann, F. (2016). Analysis of hair shine using hair rendering and subjective evaluation. Paper presented at 7th International Conference on Applied Hair Research, Red Bank, United States.. Publication link: 7057e382-033f-4505-941c-81cb22c314a4
  2. Gledson, A., Asfiandy, D., Mellor, J., Ba-Dhfari, T. O. F., Stringer, G., Couth, S., ... Keane, J. (2016). Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. Paper presented at IEEE International Conference on Healthcare Informatics , Chicago, United States.DOI: 10.1109/ICHI.2016.22. Publication link: 40f27686-70c8-4d23-8993-70288dc277b5
  3. Reger, G. (2016). Considering Typestate Verification for Quantified Event Automata. Paper presented at 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2016) , Corfu, Greece.. Publication link: 5a668209-acf9-4fa0-9bcd-cf7f87f31dd1
  4. Zennaro, F., & Chen, K. (2016). Covariate Shift Adaptation via Sparse Filtering for High-Dimensional Periodic Data. Paper presented at 29th Conference on Neural Information Processing Systems, Spain.. Publication link: ccac2159-8ff4-45dc-a600-1c3b704f1234
  5. Troumpoukis, A., Charalambidis, A., Mouchakis, G., Konstantopoulos, S., Siebes, R., de Boer, V., ... Digles, D. (2016). Developing a Benchmark Suite for Semantic Web Data from Existing Workflows. Paper presented at Workshop on Benchmarking Linked Data, Kobe, Japan.. Publication link: 03047934-c3d3-4cd4-b001-e0b913766a92
  6. Zhao, Y., & Schmidt, R. (2016). Forgetting Concept and Role Symbols in ALCOIHμ+(∇,Π)-Ontologies. 1345-1352. Paper presented at 25th International Joint Conference on Artificial Intelligence , United States.. Publication link: 1171f128-ceda-4f82-abc8-7d207dd64d6e
  7. Chard, K., D' Arcy, M., Heavner, B., Foster, I., Kesselman, C., Madduri, R., ... Toga, A. (2016). I'll Take That to Go: Big Data Bags and Minimal Identifiers for Exchange of Large, Complex Datasets. Paper presented at 2016 IEEE International Conference on Big Data, Washington, DC, United States.. Publication link: 8335e672-1d85-4649-a245-56fbdb1bd423
  8. Reger, G., Suda, M., Voronkov, A., & Hoder, K. (2016). Selecting the selection. Paper presented at 8th International Joint Conference on Automated Reasoning , Coimbra, Portugal.. Publication link: f431cd11-f5a7-4569-abff-aa5936fbacd7
  9. Banach, R., & Zhu, H. (2016). Shared-Variable Concurrency, Continuous Behaviour and Healthiness for Critical Cyberphysical Systems. Paper presented at FTSCS 2016 Fifth International Workshop on Formal Techniques for Safety-Critical Systems, Tokyo, Japan.. Publication link: 9b36090a-dc08-44f8-8c80-e80ef21daf99
  10. Al Shekaili, D., Fernandes, A. A. A., & Paton, N. (2016). Structuring Linked Data Search Results Using Probabilistic Soft Logic: ISWC 2016: The Semantic Web – ISWC 2016. 3-19. Paper presented at ISWC2016 The 15th International Semantic Web Conference , Kobe, Japan.DOI: 10.1007/978-3-319-46523-4_1. Publication link: 0a06bf38-518e-4d2c-b207-3644144241bf
  11. Davies, A., Vigo, M., Harper, S., & Jay, C. (2016). The Visualisation of Eye-tracking Scanpaths: What can they tell us about how Clinicians View Electrocardiograms?. Paper presented at ETVIS 2016 - Second Workshop on Eye Tracking and Visualization , Baltimore, Maryland, United States.. Publication link: 0a8a24d7-5cd7-44a3-aa01-de02f1d91899
  12. Eraslan, S., Yesilada, Y., & Harper, S. (2016). Trends in Eye Tracking Scanpaths: Segmentation Effect?. 15-25. Paper presented at 27th ACM Conference on Hypertext and Social Media, Halifax, Canada.DOI: 10.1145/2914586.2914591. Publication link: 7ef569ac-5e01-4015-90c1-64cba6439a0c
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Conference contribution
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Other report
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Working paper
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  1. Mikusz, M., Bates, O., Clinch, S., Davies, N., Friday, A., & Noulas, A. (2016). Poster: Understanding Mobile User Interactions with the IoT. 140. Poster session presented at MobiSys '16 Companion, Singapore, Singapore.DOI: 10.1145/2938559.2938607. Publication link: b92dbbb8-b81c-45c2-8b85-cd14866ff3ea
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  3. Clinch, S., Mikusz, M., & Friday, A. (2016). Transitioning from a research deployment to a service. 241-242. Poster session presented at PerDis '16, Oulu, Finland.DOI: 10.1145/2914920.2940338. Publication link: 318120ad-8f49-4609-a6b9-5cb006f7cdf0
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  1. Banach, R. (2016). How to Brew Your Own Hybrid/Cyberphysical Formalism. ABZ 2016, Linz Austria, .. Publication link: 567db08c-1ebe-45b9-92aa-d5caf34c09f5
  2. Batista-Navarro, R. T., Soto, A., Ulate, W., & Ananiadou, S. (2016). Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata. 471-473. Research and Advanced Technology for Digital Libraries - 20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, , .DOI: 10.1007/978-3-319-43997-6. Publication link: 89a366f5-4eb5-4434-9fad-d4e08e1f3988
  1. Attwood, T. K., Pettifer, S. R., & Thorne, D. (2016). Bioinformatics challenges at the interface of biology and computer science: Mind the gap. Wiley-Blackwell.. Publication link: dae1a9ed-53b8-45d7-b7fb-d3766162c3c7
  2. Koch, D., Hannig, F., & Ziener, D. (Eds.) (2016). FPGAs for Software Programmers. Springer. DOI: 10.1007/978-3-319-26408-0. Publication link: 78a6ce02-0193-4353-b46a-b694e76fa460
Review article
  1. Hummaida, A. R., Paton, N. W., & Sakellariou, R. (2016). Adaptation in cloud resource configuration: a survey. Journal of Cloud Computing, 5(1), [7]. DOI: 10.1186/s13677-016-0057-9. Publication link: 96e13baf-0189-482e-93fd-23a5ddf19ac6
Other contribution
  1. Navarro Lopez, E.DYVERSE with Y of dYnamical. Publication link: a69101f1-f842-4a89-835e-f223109227ce
  2. Celikok, U., Navarro Lopez, E., & Sengor, N. S. Inhibitory spike-timing-dependent plasticity in striatal microcircuitry. Publication link: d03135da-5e84-4c01-b65d-b85fe3cab810
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