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Article

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), 2. doi: 10.1145/2983918

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.

Addepalli, S., Weyde, T. ORCID: 0000-0001-8028-9905, Namoano, B. , Oyedeji, O. A., Wang, T., Erkoyuncu, J. A. & Roy, R. ORCID: 0000-0001-5491-7437 (2023). Automation of knowledge extraction for degradation analysis. CIRP Annals, 72(1), pp. 33-36. doi: 10.1016/j.cirp.2023.03.013

Adilova, L., Kamp, M., Andrienko, G. ORCID: 0000-0002-8574-6295 & Andrienko, N. ORCID: 0000-0003-3313-1560 (2023). Re-interpreting rules interpretability. International Journal of Data Science and Analytics, doi: 10.1007/s41060-023-00398-5

Agibetov, A., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Ondresik, M. , Solimando, A., Banerjee, I., Guerrini, G., Catalano, C. E., Oliveira, J. M., Patane, G., Reis, R. L. & Spagnuolo, M. (2018). Supporting shared hypothesis testing in the biomedical domain. Journal of Biomedical Semantics, 9, 9. doi: 10.1186/s13326-018-0177-x

Alam, S. S. & Jianu, R. (2016). Analyzing Eye-Tracking Information in Visualization and Data Space: from Where on the Screen to What on the Screen.. IEEE Transactions on Visualization and Computer Graphics, PP(99), doi: 10.1109/TVCG.2016.2535340

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

Alexandrov, S., Sen, A. & Stefanski, B. (2021). D-instantons in Type IIA string theory on Calabi-Yau threefolds. Journal of High Energy Physics(11), 18. doi: 10.1007/JHEP11(2021)018

Algergawy, A., Cheatham, M., Faria, D. , Ferrara, A., Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Schmidt, D., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. & Zhou, L. (2018). Results of the ontology alignment evaluation initiative 2018. CEUR Workshop Proceedings, 2288, pp. 76-116.

Algergawy, A., Faria, D., Ferrara, A. , Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. & Zhou, L. (2019). Results of the ontology alignment evaluation initiative 2019. CEUR Workshop Proceedings, 2536, pp. 46-85.

Ali, H., D'Avila Garcez, A.S., Tran, S.N. , Zhou, X. & Iqbal, K. (2014). Unimodal late fusion for NIST i-vector challenge on speaker detection. Electronics Letters, 50(15), pp. 1098-1100. doi: 10.1049/el.2014.1207

Ali, H., Tran, S. N., Benetos, E. & d'Avila Garcez, A. S. (2016). Speaker recognition with hybrid features from a deep belief network. Neural Computing and Applications, doi: 10.1007/s00521-016-2501-7

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2015). Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adaptive Behavior, 23(4), pp. 206-215. doi: 10.1177/1059712315589355

Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. International Journal of Artificial Life Research, 4(1), pp. 1-12. doi: 10.4018/ijalr.2014010101

Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Fernandez, A. (2012). A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Computer Methods and Programs in Biomedicine, 108(1), pp. 346-355. doi: 10.1016/j.cmpb.2012.02.004

Alonso, E. & Schmajuk, N. (2012). Computational Models of Classical Conditioning guest editors’ introduction. Learning and Behavior, 40(3), pp. 231-240. doi: 10.3758/s13420-012-0081-7

Alt, H., Cabello, S., Giannopoulos, P. ORCID: 0000-0002-6261-1961 & Knauer, C. (2018). Minimum Cell Connection in Line Segment Arrangements. International Journal of Computational Geometry & Applications, 27(03), pp. 159-176. doi: 10.1142/s0218195917500017

Alvarado, N., McVey, L., Elshehaly, M. ORCID: 0000-0002-5867-6121 , Greenhalgh, J., Dowding, D., Ruddle, R., Gale, C. P., Mamas, M., Doherty, P., West, R., Feltbower, R. & Randell, R. (2021). Analysis of a Web-Based Dashboard to Support the Use of National Audit Data in Quality Improvement: Realist Evaluation. Journal of Medical Internet Research, 23(11), e28854. doi: 10.2196/28854

Alvino, C. V., Unal, G. B., Slabaugh, G. G. , Peny, B. & Fang, T. (2007). Efficient segmentation based on Eikonal and diffusion equations. International Journal of Computer Mathematics, 84(9), pp. 1309-1324. doi: 10.1080/00207160701324249

Amaya, A., Woolf, C., Devane, N. , Galliers, J. R., Talbot, R., Wilson, S. & Marshall, J. (2018). Receiving Aphasia Intervention in a Virtual Environment: The Participants’ Perspective. Aphasiology, doi: 10.1080/02687038.2018.1431831

Amálio, N. & Spanoudakis, G. (2008). From Monitoring Templates to Security Monitoring and Threat Detection. 2008 Second International Conference on Emerging Security Information, Systems and Technologies, pp. 185-192. doi: 10.1109/SECURWARE.2008.58

Anderson, C., Copestake, P. & Robinson, L. (2000). A specialist toxicity database (TRACE) is more effective than its larger, commercially available counterparts. Toxicology, 151, pp. 37-43. doi: 10.1016/S0300-483X(00)00264-X

Andrienko, N., Andrienko, G. ORCID: 0000-0002-8574-6295 & Shirato, G. (2023). Episodes and Topics in Multivariate Temporal Data. Computer Graphics Forum, 42(6), e14926. doi: 10.1111/cgf.14926

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Anzer, G. , Bauer, P., Budziak, G., Fuchs, G., Hecker, D., Weber, H. & Wrobel, S. (2021). Constructing Spaces and Times for Tactical Analysis in Football. IEEE Transactions on Visualization and Computer Graphics, 27(4), pp. 2280-2297. doi: 10.1109/tvcg.2019.2952129

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, PP(99), doi: 10.1109/TITS.2017.2683539

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N., Cordero Garcia, J. M. , Hecker, D. & Vouros, G. (2022). Supporting Visual Exploration of Iterative Job Scheduling. IEEE Computer Graphics and Applications, 42(3), pp. 74-86. doi: 10.1109/MCG.2022.3163437

Andrienko, G., Andrienko, N. & Fuchs, G. (2016). Understanding movement data quality. Journal of Location Based Services, 10(1), pp. 31-46. doi: 10.1080/17489725.2016.1169322

Andrienko, G., Andrienko, N., Fuchs, G. & Cordero Garcia, J. M. (2018). Clustering Trajectories by Relevant Parts for Air Traffic Analysis. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 34-44. doi: 10.1109/TVCG.2017.2744322

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, G., Andrienko, N., Mladenov, M. , Mock, M. & Pölitz, C. (2011). Identifying Place Histories from Activity Traces with an Eye to Parameter Impact.. IEEE Transactions on Visualization and Computer Graphics, 18(5), pp. 675-688. doi: 10.1109/TVCG.2011.153

Andrienko, N. & Andrienko, G. (2010). Spatial generalization and aggregation of massive movement data.. IEEE Transactions on Visualization and Computer Graphics, 17(2), pp. 205-219. doi: 10.1109/TVCG.2010.44

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

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Adilova, L. , Wrobel, S. & Rhyne, T-M. (2022). Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications, 42(1), pp. 123-133. doi: 10.1109/MCG.2021.3130314

Andrienko, N. ORCID: 0000-0002-8574-6295, Andrienko, G. ORCID: 0000-0002-8574-6295, Chen, S. & Fisher, B. (2022). Seeking Patterns of Visual Pattern Discovery for Knowledge Building. Computer Graphics Forum, 41(6), pp. 124-148. doi: 10.1111/cgf.14515

Andrienko, N., Andrienko, G. & Fuchs, G. (2014). Analysis of mobility behaviors in geographic and semantic spaces. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 341-342. doi: 10.1109/VAST.2014.7042556

Andrienko, N., Andrienko, G., Fuchs, G. & Jankowski, P. (2016). Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces. INFORMATION VISUALIZATION, 15(2), pp. 117-153. doi: 10.1177/1473871615581216

Andrienko, N., Andrienko, G., Fuchs, G. & Jankowski, P. (2015). Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data. Lecture Notes in Computer Science, 9286, pp. 254-258. doi: 10.1007/978-3-319-23461-8_25

Andrienko, N., Andrienko, G., Fuchs, G. , Rinzivillo, S. & Betz, H-D. (2015). Real Time Detection and Tracking of Spatial Event Clusters. Lecture Notes in Computer Science, 9286, pp. 316-319. doi: 10.1007/978-3-319-23461-8_38

Andrienko, N., Andrienko, G., Fuchs, G. & Stange, H. (2014). Detecting and tracking dynamic clusters of spatial events. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 219-220. doi: 10.1109/VAST.2014.7042499

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Garcia, J. M. C. & Scarlatti, D. (2019). Analysis of Flight Variability: a Systematic Approach. IEEE Transactions on Visualization and Computer Graphics, 25(1), pp. 54-64. doi: 10.1109/TVCG.2018.2864811

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Patterson, F. & Stange, H. (2019). Visual Analysis of Place Connectedness by Public Transport. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/tits.2019.2924796

Angelelli, P., Oeltze, S., Turkay, C. , Haasz, J., Hodneland, E., Lundervold, A., Hauser, H. & Preim, B. (2014). Interactive Visual Analysis of Heterogeneous Cohort Study Data. IEEE Computer Graphics and Applications, PP(99), doi: 10.1109/MCG.2014.40

Anglade, A., Benetos, E., Mauch, M. & Dixon, S. (2010). Improving music genre classification using automatically induced harmony rules. Journal of New Music Research, 39(4), pp. 349-361. doi: 10.1080/09298215.2010.525654

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

Anisetti, M., Ardagna, C. A., Guida, F. , Gürgens, S., Lotz, V., Maña, A., Pandolfo, C., Pazzaglia, J., Pujol, G. & Spanoudakis, G. (2010). ASSERT4SOA: Toward Security Certification of Service-Oriented Applications. OTM Workshops, 6428, pp. 38-40. doi: 10.1007/978-3-642-16961-8_11

Ardagna, C. A., Bena, N., Hebert, C. , Krotsiani, M., Kloukinas, C. ORCID: 0000-0003-0424-7425 & Spanoudakis, G. ORCID: 0000-0002-0037-2600 (2023). Big Data Assurance: An Approach Based on Service-Level Agreements. Big Data, doi: 10.1089/big.2021.0369

Ardagna, D., Baresi, L., Comai, S. , Comuzzi, M. & Pernici, B. (2011). A Service-Based Framework for Flexible Business Processes. IEEE Software, 28(2), pp. 61-67. doi: 10.1109/MS.2011.28

Arsovski, S., Wong, S. & Cheok, A. D. ORCID: 0000-0001-6316-2339 (2018). Open-domain neural conversational agents: The step towards artificial general intelligence. International Journal of Advanced Computer Science and Applications, 9(6), pp. 402-408. doi: 10.14569/IJACSA.2018.090654

Asad, H., Adhikari, S. & Gashi, I. ORCID: 0000-0002-8017-3184 (2023). A Perspective-Retrospective Analysis of Diversity in Signature-Based Open-Source Network Intrusion Detection Systems. International Journal of Information Security,

Asad, H. & Gashi, I. ORCID: 0000-0002-8017-3184 (2022). Dynamical Analysis of Diversity in Rule-Based Open Source Network Intrusion Detection Systems. Empirical Software Engineering, 27(1), 4. doi: 10.1007/s10664-021-10046-w

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

Asano, R., Bornus, P., Craft, J. , Dolscheid, S., Faber, S., Haase, V., Heimerich, M., Kopparti, R. M., Lobben, M., Osawa, A., Oudyk, K., Trettenbrein, P., Varelmann, T., Wehrle, S., Ya, R., Grice, M. & Vogeley, K. (2018). Spring School on Language, Music, and Cognition: Organizing Events in Time. Music & Science, 1, pp. 1-17. doi: 10.1177/2059204318798831

Ascencio-Cabral, A. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2022). Comparison of Convolutional Neural Networks and Transformers for the Classification of Images of COVID-19, Pneumonia and Healthy Individuals as Observed with Computed Tomography. Journal of Imaging, 8(9), 237. doi: 10.3390/jimaging8090237

Badkobeh, G. ORCID: 0000-0001-5550-7149 & Crochemore, M. (2022). Linear construction of a left Lyndon tree. Information and Computation, 285(Part B), 104884. doi: 10.1016/j.ic.2022.104884

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

Badreddine, S., d'Avila Garcez, A. S., Serafini, L. & Spranger, M. (2022). Logic Tensor Networks. Artificial Intelligence, 303, 103649. doi: 10.1016/j.artint.2021.103649

Bai, W., Sinclair, M., Tarroni, G. ORCID: 0000-0002-0341-6138 , Oktay, O., Rajchl, M., Vaillant, G., Lee, A. M., Aung, N., Lukaschuk, E., Sanghvi, M. M., Zemrak, F., Fung, K., Paiva, J. M., Carapella, V., Kim, Y. J., Suzuki, H., Kainz, B., Matthews, P M., Petersen, S. E., Piechnik, S. K., Neubauer, S., Glocker, B. & Rueckert, D. (2018). Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonanc, 20, 65. doi: 10.1186/s12968-018-0471-x

Bai, W., Suzuki, H., Huang, J. , Francis, C., Wang, S., Tarroni, G. ORCID: 0000-0002-0341-6138, Guitton, F., Aung, N., Fung, K., Petersen, S. E., Piechnik, S. K., Neubauer, S., Evangelou, E., Dehghan, A., O'Regan, D., Wilkinson, M., Guo, Y., Matthews, P. M. & Rueckert, D. (2020). A population-based phenome-wide association study of cardiac and aortic structure and function. Nature Medicine, 26(10), pp. 1654-1662. doi: 10.1038/s41591-020-1009-y

Baloch, S., Melkisetoglu, R., Flöry, S. , Azernikov, S., Slabaugh, G. G., Zouhar, A. & Fang, T. (2010). Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation.. Lecture Notes in Computer Science, 6363, pp. 555-562. doi: 10.1007/978-3-642-15711-0_69

Bao, J. ORCID: 0000-0002-9583-1696, Franco, S., He, Y-H. ORCID: 0000-0002-0787-8380 , Hirst, E. ORCID: 0000-0003-1699-4399, Musiker, G. & Xiao, Y. (2020). Quiver mutations, Seiberg duality, and machine learning. Physical Review D (PRD), 102(8), 086013. doi: 10.1103/PhysRevD.102.086013

Barbieri, F., Guizzo, E., Lucchesi, F. , Maffei, G., del Prado Martin, F. M. & Weyde, T. ORCID: 0000-0001-8028-9905 (2019). Towards a Multimodal Time-Based Empathy Prediction System. 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), pp. 716-720. doi: 10.1109/FG.2019.8756532

Barros Pena, B. ORCID: 0000-0003-4035-1860, Kursar, B., Clarke, R. E. , Alpin, K., Holkar, M. & Vines, J. (2021). "Pick Someone Who Can Kick Your Ass" - Moneywork in Financial Third Party Access. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3), 218. doi: 10.1145/3432917

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G. (2018). Conditional Regressive Random Forest Stereo-based Hand Depth Recovery. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 614-622. doi: 10.1109/ICCVW.2017.78

Basaru, R. R., Slabaugh, G. G., Alonso, E. & Child, C. H. T. (2018). Data-driven Recovery of Hand Depth using Conditional Regressive Random Forest on Stereo Images. IET Computer Vision, 12(5), pp. 666-678. doi: 10.1049/iet-cvi.2017.0227

Basdekis, I., Karampelas, P., Doulgeraki, V. & Stephanidis, C. (2009). Designing Universally Accessible Networking Services for a Mobile Personal Assistant. Lecture Notes in Computer Science, 5615, pp. 279-288. doi: 10.1007/978-3-642-02710-9_31

Basdekis, I., Klironomos, I., Metaxas, I. & Stephanidis, C. (2010). An overview of web accessibility in Greece: a comparative study 2004-2008. Universal Access in the Information Society, 9(2), pp. 185-190. doi: 10.1007/s10209-009-0166-z

Bauer, J., Broom, M. ORCID: 0000-0002-1698-5495 & Alonso, E. ORCID: 0000-0002-3306-695X (2019). The Stabilisation of Equilibria in Evolutionary Game Dynamics through Mutation: Mutation Limits in Evolutionary Games. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2231), 20190355. doi: 10.1098/rspa.2019.0355

Bawden, D. (2013). Altavista, Google and least effort: a requiem. Journal of Documentation, 69(6), pp. 760-761.

Bawden, D. (2013). Imagination, exciting mixtures and the improvement of information research. Journal of Documentation, 69(3), pp. 332-333.

Bawden, D. (2012). Norbert Wiener and voices from the past. Journal of Documentation, 68(5),

Bawden, D. (2013). Physical plus digital. Journal of Documentation, 69(4),

Bawden, D. (2012). Russell Shank and the nature of the information disciplines. Journal of Documentation, 68(6),

Bawden, D. (2013). Senate House Library and the context of documents. Journal of Documentation, 69(5),

Bawden, D. (2012). The city, the world, and what cannot be measured. Journal of Documentation, 68(2),

Bawden, D. (2012). The declining impact of the impact factor. Journal of Documentation, 69(2),

Bawden, D. & Robinson, L. (2014). As long as we don't pretend that it is science. Journal of Documentation, 70(1), pp. 2-3.

Bawden, D. & Robinson, L. (2013). "Deep down things": In what ways is information physical, and why does it matter for information science?. Information Research: an international electronic journal, 18(3),

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

Beecham, R., Rooney, C., Meier, S. , Dykes, J., Slingsby, A., Turkay, C., Wood, J. & Wong, B.L.W. (2016). Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples. Computer Graphics Forum: the international journal of the Eurographics Association, 35(3), pp. 241-249. doi: 10.1111/cgf.12900

Beecham, R. & Wood, J. (2014). Characterising group-cycling journeys using interactive graphics. Transportation Research Part C: Emerging Technologies, 47(2), pp. 194-206. doi: 10.1016/j.trc.2014.03.007

Beecham, R. & Wood, J. (2014). Exploring gendered cycling behaviours within a large-scale behavioural data-set. Transportation Planning and Technology, 37(1), pp. 83-97. doi: 10.1080/03081060.2013.844903

Beecham, R., Wood, J. & Bowerman, A. (2014). Studying commuting behaviours using collaborative visual analytics. Computers, Environment and Urban Systems, 47, pp. 5-15. doi: 10.1016/j.compenvurbsys.2013.10.007

Begum, M., Haglund, P., Korhonen, A. , Lonati, V., Monga, M., Strömbäck, F. & Tilanterä, A. (2023). Empirical Evaluation of a Differentiated Assessment of Data Structures: The Role of Prerequisite Skills. Informatics in Education, doi: 10.15388/infedu.2024.05

Behn, N. ORCID: 0000-0001-9356-9957, Moss, B., McVicker, S. , Roper, A. ORCID: 0000-0001-6950-6294, Northcott, S. ORCID: 0000-0001-8229-5452, Marshall, J. ORCID: 0000-0002-6589-221X, Thomas, S., Simpson, A. ORCID: 0000-0003-3286-9846, Flood, C., James, K., Goldsmith, K. & Hilari, K. ORCID: 0000-0003-2091-4849 (2021). SUpporting wellbeing through PEeR-Befriending (SUPERB) feasibility trial: fidelity of peer-befriending for people with aphasia. BMJ Open, 11(8), doi: 10.1136/bmjopen-2020-047994

Benetos, E. & Dixon, S. (2011). Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription. IEEE Journal of Selected Topics in Signal Processing, 5(6), pp. 1111-1123. doi: 10.1109/JSTSP.2011.2162394

Benetos, E. & Dixon, S. (2013). Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model. The Journal of the Acoustical Society of America (JASA), 133(3), pp. 1727-1741. doi: 10.1121/1.4790351

Benetos, E. & Dixon, S. (2012). A Shift-Invariant Latent Variable Model for Automatic Music Transcription. Computer Music Journal, 36(4), pp. 81-94. doi: 10.1162/COMJ_a_00146

Benetos, E. & Dixon, S. (2012). Temporally-constrained convolutive probabilistic latent component analysis for multi-pitch detection. Lecture Notes in Computer Science: Latent Variable Analysis and Signal Separation, 7191, pp. 364-371. doi: 10.1007/978-3-642-28551-6_45

Benetos, E., Dixon, S., Giannoulis, D. , Kirchhoff, H. & Klapuri, A. (2013). Automatic music transcription: challenges and future directions. Journal of Intelligent Information Systems, pp. 1-28. doi: 10.1007/s10844-013-0258-3

Benetos, E., Ewert, S. & Weyde, T. (2014). Automatic transcription of pitched and unpitched sounds from polyphonic music. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3107-3111. doi: 10.1109/ICASSP.2014.6854172

Benetos, E. & Kotropoulos, C. (2010). Non-Negative Tensor Factorization Applied to Music Genre Classification. IEEE Transactions on Audio, Speech & Language Processing, 18(8), pp. 1955-1967. doi: 10.1109/TASL.2010.2040784

Benetos, E. & Stylianou, Y. (2010). Auditory Spectrum-Based Pitched Instrument Onset Detection. IEEE Transactions on Audio, Speech & Language Processing, 18(8), pp. 1968-1977. doi: 10.1109/TASL.2010.2040785

Berlanga, R., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 & Nebot, V. (2011). Building conceptual spaces for exploring and linking biomedical resources. CEUR Workshop Proceedings, 698,

Berlanga, R., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 & Nebot, V. (2012). Exploring and linking biomedical resources through multidimensional semantic spaces. BMC Bioinformatics, 13(Supp 1), S6. doi: 10.1186/1471-2105-13-S1-S6

Bernardy, J. P., Jannson, P. & Paterson, R. A. (2012). Proofs for free - parametricity for dependent types. Journal of Functional Programming, 22(2), pp. 107-152. doi: 10.1017/S0956796812000056

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Yang, X. & Slabaugh, G. G. (2011). A robust and efficient approach to detect 3D rectal tubes from CT colonography. Medical Physics, 38(11), 6238. doi: 10.1118/1.3654842

Yang, X., Tek, B., Beddoe, G. & Slabaugh, G. G. (2010). Feature Selection for Computer-Aided Polyp Detection using MRMR. SPIE Proceedings, 7624, doi: 10.1117/12.844165

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Ye, X., Beddoe, G. & Slabaugh, G. G. (2011). A Bayesian Approach for False Positive Reduction in CTC CAD. Lecture Notes in Computer Science, 6668, pp. 40-46. doi: 10.1007/978-3-642-25719-3_6

Ye, X., Lin, X., Dehmeshki, J. , Slabaugh, G. G. & Beddoe, G. (2009). Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. IEEE Transactions on Biomedical Engineering, 56(7), pp. 1810-1820. doi: 10.1109/TBME.2009.2017027

Ye, X., Siddique, M., Douiri, A. , Beddoe, G. & Slabaugh, G. G. (2009). Image segmentation using joint spatial-intensity-shape features: Application to CT lung nodule segmentation. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259, 72594V. doi: 10.1117/12.811151

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,

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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

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Zhang, Q. C., Slingsby, A., Dykes, J. , Wood, J., Kraak, M. J., Blok, C. A. & Ahas, R. (2013). Visual analysis design to support research into movement and use of space in Tallinn: A case study. Information Visualization, doi: 10.1177/1473871613480062

Zhang, Z., Krol, M. ORCID: 0000-0002-3437-8621, Sonnino, A. , Zhang, L. & Rivière, E. (2021). EL PASSO: Efficient and Lightweight Privacy-preserving Single Sign On. Proceedings on Privacy Enhancing Technologies, 2021(2), pp. 70-87. doi: 10.2478/popets-2021-0018

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Book

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Book Section

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

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Al Arifi, S. M. M. R., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest. In: 2015 International Conference on Image Processing Theory, Tools and Applications. (pp. 417-422). IEEE. doi: 10.1109/IPTA.2015.7367179

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.

Alonso, E. (2014). Actions and Agents. In: Frankish, K. & Ramsey, W. (Eds.), The Cambridge Handbook of Artificial Intelligence. (pp. 232-246). UK: Cambridge University Press. doi: 10.1017/CBO9781139046855

Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2010). Computational models of learning and beyond: Symmetries of associative learning. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. (pp. 316-332). IGI Global. doi: 10.4018/978-1-60960-021-1.ch013

Andrienko, G. ORCID: 0000-0002-8574-6295 & Andrienko, N. ORCID: 0000-0003-3313-1560 (2018). Creating maps of artificial spaces to explore trajectories. In: Proceedings of the Workshop on Advanced Visual Interfaces AVI. . NY, USA: ACM. doi: 10.1145/3206505.3206557

Asad, M. & Slabaugh, G. G. (2014). Hand Orientation Regression Using Random Forest for Augmented Reality. In: DePaolis, L.T. & Mongelli, A. (Eds.), Augmented and Virtual Reality. AVR 2014. Lecture Notes in Computer Science, 8853. (pp. 159-174). Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-319-13969-2_13

Bawden, D. & Robinson, L. (2012). Introduction to information science. In: UNSPECIFIED . London: Facet Publishing.

Beecham, R. (2015). Using Bikeshare Datasets to Improve Urban Cycling Experience and Research Urban Cycling Behaviour. In: Gerike, R. & Parkin, J. (Eds.), Cycling Futures: From Research into Practice. (pp. 267-283). Farnham: Ashgate.

Benetos, E., Siatras, S., Kotropoulos, C. , Nikolaidis, N. & Pitas, I. (2008). Movie analysis with emphasis to dialogue and action scene detection. In: Maragos, P., Potamianos, A. & Gros, P. (Eds.), Multimodal Processing and Interaction: Audio, Video, Text. (pp. 157-177). Springer. doi: 10.1007/978-0-387-76316-3_7

Berube, L. ORCID: 0000-0002-1046-8569 & Wilson, F. (2020). Follow the users: assessing UK nonprint legal deposit within the academic discovery environment. In: Gooding, P. & Terras, M. (Eds.), Electronic Legal Deposit: Shaping the library collections of the future. (pp. 179-202). London, UK: Facet Publishing.

Bibas, A., Spanoudakis, G., Bellos, C. , Fotiadis, D. I. & Koutsouris, D. (2013). Biologically Inspired Near Extinct System Reconstruction. In: 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). . IEEE. doi: 10.1109/BIBE.2013.6701644

Botros, F., Perin, C., Aseniero, B.A. & Carpendale, S. (2016). Go and grow: Mapping personal data to a living plant. In: AVI '16 Proceedings of the International Working Conference on Advanced Visual Interfaces. (pp. 112-119). New York, NY, United States: ACM. doi: 10.1145/2909132.2909267

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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

Cherla, S., Weyde, T., Garcez, A. & Pearce, M. (2013). A Distributed Model For Multiple-Viewpoint Melodic Prediction. In: de Souza Britto Jr, A., Gouyon, F. & Dixon, S. (Eds.), Proceedings of the 14th International Society for Music Information Retrieval Conference. (pp. 15-20). International Society for Music Information Retrieval.

Collins, E. I. M., Cox, A. L., Bird, J. & Harrison, D. (2014). Social networking use and RescueTime: The issue of engagement. In: UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. (pp. 687-690). New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/2638728.2641322

Comuzzi, M. (2014). Aligning Monitoring and Compliance Requirements in Evolving Business Networks. In: On the Move to Meaningful Internet Systems: OTM 2014 Conferences. (pp. 166-183). Springer.

Comuzzi, M., Kotsokalis, C., Spanoudakis, G. & Yahyapour, R. (2009). Establishing and Monitoring SLAs in complex Service Based Systems. In: Damiani, E., Zhang, J. & Chang, R. (Eds.), 2009 IEEE International Conference on Web Services. Los Alamitos, California, I & II. (pp. 783-790). IEEE. doi: 10.1109/ICWS.2009.47

Comuzzi, M. & Spanoudakis, G. (2010). Dynamic set-up of monitoring infrastructures for service based systems. In: Shin, S. Y., Ossowski, S., Schumacher, M. , Palakal, M. J. & Hung, C. (Eds.), Proceedings of the 2010 ACM Symposium on Applied Computing. (pp. 2414-2421). ACM. doi: 10.1145/1774088.1774591

Comuzzi, M. & Spanoudakis, G. (2009). A Framework for Hierarchical and Recursive Monitoring of Service Based Systems. In: Sasaki, H., Bellot, G. O., Ehmann, M. & Dini, O. (Eds.), Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09. (pp. 383-388). IEEE. doi: 10.1109/ICIW.2009.63

Cox, A. L., Bird, J., Mauthner, N. , Dray, S., Peters, A. & Collins, E. (2014). Socio-Technical Practices and Work-Home Boundaries. In: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services. (pp. 581-584). New York, USA: ACM. doi: 10.1145/2628363.2634259

Cremaschi, M., Siano, A., Avogadro, R. , Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 & Maurino, A. (2020). STILTool: a Semantic Table Interpretation evaLuation Tool. In: The Semantic Web: ESWC 2020 Satellite Events. Lecture Notes in Computer Science, 12124. . Springer. doi: 10.1007/978-3-030-62327-2_11

Culbertson, W. B., Malzbender, T. & Slabaugh, G. G. (2000). Generalized Voxel Coloring. In: Triggs, B., Zisserman, A. & Szeliski, R. (Eds.), Vision Algorithms: Theory and Practice. (pp. 100-115). Springer. doi: 10.1007/3-540-44480-7_7

Curran, W., Moore, T., Kulesza, T. , Wong, W-K, Todorovic, S., Stumpf, S., White, R. & Burnett, M. (2012). Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? In: Duarte, C., Carriço, L., Jorge, J. A. , Oviatt, S. L. & Gonçalves, D. (Eds.), Proceedings of the 2012 ACM international conference on Intelligent User Interfaces. (pp. 285-288). New York: ACM. doi: 10.1145/2166966.2167019

Denisova, A. ORCID: 0000-0002-1497-5808 & Cook, E. (2019). Power-Ups in Digital Games: The Rewarding Effect of Phantom Game Elementson Player Experience. In: CHI PLAY '19 Proceedings of the Annual Symposium on Computer-Human Interaction in Play. (pp. 161-168). New York, NY: ACM Press. doi: 10.1145/3311350.3347173

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

Dinh, H. Q., Turk, G. & Slabaugh, G. G. (2001). Reconstructing Surfaces Using Anisotropic Basis Functions. In: Eighth IEEE International Conference on Computer Vision, 2001. ICCV 2001. Proceedings. (pp. 606-613). IEEE. doi: 10.1109/ICCV.2001.937682

Doan, H., Slabaugh, G. G., Unal, G. B. & Fang, T. (2006). Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts. In: 2006 IEEE International Conference on Image Processing. (pp. 1913-1916). IEEE. doi: 10.1109/ICIP.2006.313142

Fairbank, M., Prokhorov, D. & Alonso, E. (2013). Approximating Optimal Control with Value Gradient Learning. In: Lewis, F. & Liu, D. (Eds.), Reinforcement Learning and Approximate Dynamic Programming for Feedback Control. (pp. 142-161). Hoboken, NJ, USA: Wiley-IEEE Press. doi: 10.1002/9781118453988

Foster, H. & Spanoudakis, G. (2011). SMaRT: A Workbench for reporting the monitorability of services from SLAs. In: Proceedings of the 3rd International Workshop on Principles of Engineering Service-Oriented Systems. (pp. 36-42). New York; USA: ACM. doi: 10.1145/1985394.1985400

Foster, H. & Spanoudakis, G. (2012). Taming the cloud: Safety, certification and compliance for software services - Keynote at the Workshop on Engineering Service-Oriented Applications (WESOA) 2011. In: Lecture Notes in Computer Science. (pp. 3-8). Springer. doi: 10.1007/978-3-642-31875-7_2

Foster, H., Spanoudakis, G. & Mahbub, K. (2012). Formal Certification and Compliance for Run-Time Service Environments. In: Moser, L. E., Parashar, M. & Hung, P. C. K. (Eds.), 2012 IEEE Ninth International Conference on Services Computing (SCC),. (pp. 17-24). IEEE. doi: 10.1109/SCC.2012.23

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

Georgiou, D., MacFarlane, A. & Russell-Rose, T. (2015). Extracting Sentiment from Healthcare Survey Data: An Evaluation of Sentiment Analysis Tools. In: 2015 Science and Information Conference (SAI). . IEEE. doi: 10.1109/SAI.2015.7237168

Grellmann, B., Neate, T., Roper, A. ORCID: 0000-0001-6950-6294 , Wilson, S. ORCID: 0000-0001-6445-654X & Marshall, J. ORCID: 0000-0002-6589-221X (2018). Investigating Mobile Accessibility Guidance for People with Aphasia. In: ASSETS '18 Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility. (pp. 410-413). New York, USA: ACM. doi: 10.1145/3234695.3241011

Hampshire, T. E., Roth, H. R., Boone, D. J. , Slabaugh, G. G., Halligan, S. & Hawkes, D. J. (2012). Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. In: Yoshida, H, Hawkes, DJ & Vannier, MW (Eds.), Abdominal Imaging. Computational and Clinical Applications. (pp. 1-9). Springer. doi: 10.1007/978-3-642-33612-6_1

Harrison, D., Marshall, P., Berthouze, N. & Bird, J. (2014). Tracking physical activity: Problems related to running longitudinal studies with commercial devices. In: UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. (pp. 699-702). New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/2638728.2641320

Heitlinger, S. ORCID: 0000-0001-6148-350X, Houston, L., Choi, J. H-j. , Taylor, A. & Catlow, R. (2022). More-than-human computer interaction for urban food governance. In: Moragues-Faus, A., Clark, J. K., Battersby, J. & Davies, A. (Eds.), Routledge Handbook of Urban Food Governance. . Routledge. doi: 10.4324/9781003055907

Heitlinger, S. ORCID: 0000-0001-6148-350X, Houston, L. & Taylor, A. (2022). Nature 3.0 Blockchain for extraction or care? In: Catlow, R. & Rafferty, P. (Eds.), Radical Friends: Decentralised Autonomous Organisations and the Arts. . Torque Editions.

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Hunt, S. & Sands, D. (2020). New Program Abstractions for Privacy. In: Di Pierro, A., Malacaria, A. & Nagarajan, P. (Eds.), From Lambda Calculus to Cybersecurity Through Program Analysis. . Springer. doi: 10.1007/978-3-030-41103-9_10

Jennings, D., Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Bonardi, C. (2010). Temporal uncertainty during overshadowing: A temporal difference account. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. (pp. 46-55). IGI Global. doi: 10.4018/978-1-60960-021-1.ch003

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Conference or Workshop Item

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. Lecture Notes in Computer Science. (pp. 544-551). Cham: UNSPECIFIED. ISBN 978-3-319-70009-0 doi: 10.1007/978-3-319-70010-6_50

Abdan, S., Basha, N., Kovacevic, A. ORCID: 0000-0002-8732-2242 , Stosic, N., Birari, A. & Asati, N. (2019). Development and Design of Energy Efficient Oil-Flooded Screw Compressors. IOP Conference Series: Materials Science and Engineering, 604(1), ISSN 1757-8981 doi: 10.1088/1757-899X/604/1/012015

Abdelmageed, N., Chen, J., Cutrona, V. , Efthymiou, V., Hassanzadeh, O., Hulsebos, M., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Sequeda, J. & Srinivas, K. (2022). Results of SemTab 2022. Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 3320, ISSN 1613-0073

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. (pp. 4926-4932). IEEE. ISBN 978-1-5386-1127-2 doi: 10.1109/IECON.2017.8217429

Abufadel, A., Slabaugh, G. G., Unal, G. B. , Zhang, L. & Odry, B. (2008). Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation. Paper presented at the 8th International Conference on Pattern Recognition (ICPR), 2006., 20-08-2006 - 24-08-2008, Hong Kong.

Acarali, D., Rajarajan, M. & Komninos, N. ORCID: 0000-0003-2776-1283 (2018). Evaluating the Provision of Botnet Defences using Translational Research Concepts. In: Samarati, P. & Obaidat, M. S. (Eds.), Proceedings of the 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018) - Volume 2: SECRYPT. (pp. 514-519). SciTePress. ISBN 978-989-758-319-3 doi: 10.5220/0006884405140519

Adnan, M., Nguyen, H. P., Ruddle, R. & Turkay, C. ORCID: 0000-0001-6788-251X (2019). Visual Analytics of Event Data using Multiple Mining Methods. In: Turkay, C. ORCID: 0000-0001-6788-251X & Von Landesberger, T. (Eds.), EuroVis Workshop on Visual Analytics (EuroVA). . The Eurographics Association. ISBN 978-3-03868-087-1 doi: 10.2312/eurova.20191126

Aghazadeh Chakherlou, R., Salako, K. ORCID: 0000-0003-0394-7833 & Strigini, L. ORCID: 0000-0002-4246-2866 (2022). Arguing safety of an improved autonomous vehicle from safe operation before the change: new results. In: RAIS 2022 2nd International Workshop on Reliability of Autonomous Intelligent Systems. (pp. 307-312). New York, USA: IEEE. ISBN 9781665476805 doi: 10.1109/ISSREW55968.2022.00085

Ahmed, S., Balasubramanian, H., Stumpf, S. ORCID: 0000-0001-6482-1973 , Morrison, C., Sellen, A. & Grayson, M. (2020). Investigating the Intelligibility of a Computer Vision System for Blind Users. In: IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces. (pp. 419-429). New York: ACM. ISBN 978-1-4503-7118-6 doi: 10.1145/3377325.3377508

Aksenov, V. ORCID: 0000-0001-9134-5490, Anoprenko, M., Fedorov, A. & Spear, M. (2023). Brief Announcement: BatchBoost: Universal Batching for Concurrent Data Structures. Paper presented at the International Symposium on Distributed Computing (DISC), 10-12 Oct 2023, L'Aquila, Italy. doi: 10.4230/LIPIcs.DISC.2023.35

Al-Arif, S. M., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Hough Forest-based Corner Detection for Cervical Spine Radiographs. Paper presented at the Medical Image Understanding and Analysis Conference, MIUA 2015, 15-07-2015 - 17-07-2015, University of Lincoln, UK.

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. Lecture Notes in Computer Science, 10182. (pp. 64-76). Cham: Springer. ISBN 978-3-319-55049-7

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). . IEEE. ISBN 978-1-5386-1465-5 doi: 10.1109/NCA.2017.8171327

Algaith, A., Nunes, P., Fonseca, J. , Gashi, I. ORCID: 0000-0002-8017-3184 & Viera, M. (2018). Finding SQL Injection and Cross Site Scripting Vulnerabilities with Diverse Static Analysis Tools. In: 2018 14th European Dependable Computing Conference (EDCC). (pp. 57-64). IEEE. ISBN 978-1-5386-8060-5 doi: 10.1109/EDCC.2018.00020

Alhamdan, W. & Howe, J. M. ORCID: 0000-0001-8013-6941 (2021). Classification of date fruits in a controlled environment using Convolutional Neural Networks. In: Hassanien, A. E., Chang, K. C. & Mincong, T. (Eds.), AMLTA 2021: Advanced Machine Learning Technologies and Applications. (pp. 154-163). Cham, Switzerland: Springer. ISBN 978-3-030-69716-7 doi: 10.1007/978-3-030-69717-4_16

Alonso, E. & Fairbank, M. (2013). Emergent and Adaptive Systems of Systems. Paper presented at the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 13-10-2013 - 16-10-2013, Manchester, UK.

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Conditioning for Least Action. Paper presented at the 11th International Conference on Cognitive Modeling, 13-04-2012 - 15-04-2012, Berlin, Germany.

Alonso, E., Karcanias, N. & Hessami, A. G. (2013). Multi-Agent Systems: A new paradigm for Systems of Systems. Paper presented at the ICONS 2013 : The Eighth International Conference on Systems, 27-01-2013 - 01-02-2013, Seville, Spain.

Alonso, E., Karcanias, N. & Hessami, A. G. (2013). Symmetries, groups and groupoids for Systems of Systems. Paper presented at the 2013 IEEE International Systems Conference (SysCon), 15-04-2013 - 18-04-2013, Orlando, USA. doi: 10.1109/SysCon.2013.6549889

Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Quantum Probability and Operant Conditioning: Behavioral Uncertainty in Reinforcement Learning. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.

Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Uses, Abuses and Misuses of Computational Models in Classical Conditioning. Paper presented at the 11th International Conference on Cognitive Modeling, 13-15 Apr 2012, Berlin, Germany.

Alonso, E. ORCID: 0000-0002-3306-695X, Mondragon, E. ORCID: 0000-0003-4180-1261 & Kjaell-Ohlsson, N. (2012). Internally Driven Q-learning - Convergence and Generalization Results. In: Filipe, J. & Fred, A. (Eds.), Proceedings of the 4th International Conference on Agents and Artificial Intelligence. (pp. 491-494). Setubal, Portugal: SCITEPRESS. ISBN 978-989-8425-95-9 doi: 10.5220/0003736404910494

Alonso, E., Sahota, P. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.

Ananda, Karabağ, C. ORCID: 0000-0003-4424-0471, Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 , Alonso, E. ORCID: 0000-0002-3306-695X & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2020). Radiography Classification: A comparison between Eleven Convolutional Neural Networks. In: 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). (pp. 119-125). New York, USA: IEEE. ISBN 978-1-7281-8373-2 doi: 10.1109/MCNA50957.2020.9264285

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. & Hecker, D. (2023). Extracting Movement-based Topics for Analysis of Space Use. Paper presented at the EuroVA 2023, 12 Jun 2023, Leipzig, Germany. doi: 10.2312/eurova.20231091

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Fuchs, G. , Scarlatti, D., Cordero Garcia, J. M., Vouros, G. A., Herranz, R. & Marcos, R. (2018). Visual analytics of flight trajectories for uncovering decision making strategies. Paper presented at the Eighth SESAR Innovation Days, 3-7 Dec 2018, Salzburg, Austria.

Annabi, L. & Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 (2018). State representation learning with recurrent capsule networks. Paper presented at the Workshop on Modeling the Physical World: Perception, Learning, and Control, NeurIPS 2018 - 32nd Conference on Neural Information Processing Systems, 07 Dec 2018, Montreal, Canada.

Apperly, I., Bundy, A., Cohn, A. , Colton, S., Cussens, J., d'Avila Garcez, A. S., Hahn, U., Jamnik, M., Jay, C., Mareschal, D., Sammut, C., Schmid, U., Seed, A., Stahl, B., Steedman, M. & Tamaddoni-Nezhad, A. (2022). Preface. CEUR Workshop Proceedings, 3227, ISSN 1613-0073

Ardagna, C. A., Damiani, E., Krotsiani, M. , Kloukinas, C. ORCID: 0000-0003-0424-7425 & Spanoudakis, G. ORCID: 0000-0002-0037-2600 (2018). Big Data Assurance Evaluation: An SLA-Based Approach. In: 2018 IEEE International Conference on Services Computing (SCC). (pp. 299-303). IEEE. ISBN 978-1-5386-7250-1 doi: 10.1109/SCC.2018.00053

Asad, M. & Abhayaratne, C. (2013). Kinect depth stream pre-processing for hand gesture recognition. Paper presented at the 2013 IEEE International Conference on Image Processing, ICIP 2013, 15 September - 18 September 2013, Melbourne, Australia. doi: 10.1109/ICIP.2013.6738770

Asad, M., Gentet, E., Basaru, R. R. & Slabaugh, G. G. (2015). Generating a 3d hand model from frontal color and range scans. In: 2015 IEEE International Conference on Image Processing (ICIP). (pp. 4589-4593). IEEE. ISBN 9781479983391 doi: 10.1109/ICIP.2015.7351676

Avogadro, R., Cremaschi, M., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 & Rula, A. (2021). A Framework for Quality Assessment of Semantic Annotations of Tabular Data. Lecture Notes in Computer Science, 12922, ISSN 0302-9743 doi: 10.1007/978-3-030-88361-4_31

Bai, W., Chen, C., Tarroni, G. ORCID: 0000-0002-0341-6138 , Duan, J., Guitton, F., Petersen, S. E., Guo, Y., Matthews, P. M. & Rueckert, D. (2019). Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. In: Shen, D., Liu, T., Peters, T. M. , Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11765. (pp. 541-549). Cham: Springer. ISBN 9783030322441

Bai, W., Suzuki, H., Qin, C. , Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Matthews, P. M. & Rueckert, D. (2018). Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Lecture Notes in Computer Science, 11073. (pp. 586-594). Cham: Springer. ISBN 978-3-030-00936-6 doi: 10.1007/978-3-030-00937-3_67

Barattin, S., Tzelepis, C. ORCID: 0000-0002-2036-9089, Patras, I. & Sebe, N. (2023). Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization. Computer Vision and Pattern Recognition, pp. 8001-8010. ISSN 1063-6919 doi: 10.1109/cvpr52729.2023.00773

Barros Pena, B. ORCID: 0000-0003-4035-1860 (2022). Curb your enthusiasm: The dissonances of digitising personal finance. Proceedings of DRS, 67, ISSN 2398-3132 doi: 10.21606/drs.2022.302

Barros Pena, B. ORCID: 0000-0003-4035-1860, Clarke, R. E., Holmquist, L. E. & Vines, J. (2021). Circumspect users: Older adults as critical adopters and resistors of technology. In: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. . ACM. ISBN 9781450380966 doi: 10.1145/3411764.3445128

Barros Pena, B. ORCID: 0000-0003-4035-1860, Koteyko, N., van Driel, M. , Delgado, A. & Vines, J. (2023). "My Perfect Platform Would Be Telepathy" - Reimagining the Design of Social Media with Autistic Adults. In: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (pp. 1-16). ACM. ISBN 9781450394215 doi: 10.1145/3544548.3580673

Barros Pena, B. ORCID: 0000-0003-4035-1860, Kursar, B., Clarke, R. E. , Alpin, K., Holkar, M. & Vines, J. (2021). Financial technologies in the cycle of poor mental health and financial hardship: Towards financial citizenship. In: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. . ACM. ISBN 9781450380966 doi: 10.1145/3411764.3445251

Barthet, M., Plumbley, M. D., Kachkaev, A. , Dykes, J., Wolff, D. & Weyde, T. (2014). Big Chord Data Extraction and Mining. Paper presented at the 9th Conference on Interdisciplinary Musicology – CIM14, 03-12-2014 - 06-12-2014, Staatliches Institut für Musikforschung, Berlin, Germany.

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.

Basdekis, I., Alexandraki, C., Mourouzis, A. & Stephanidis, C. Incorporating Accessibility in Web-Based Work Environments: Two Alternative Approaches and Issues Involved. Paper presented at the 11th International Conference on Human-Computer Interaction, 22-27 Jul 2005, Las Vegas, USA.

Basdekis, I., Klironomos, I., Antona, M. & Stephanidis, C. (2006). Online Communities for All: The Role of Design for All in the Formation and Support of Inclusive Online Communities. Paper presented at the International Design for All Conference, 13-15 Sep 2006, Rovaniemi, Finland.

Basdekis, I., Kloukinas, C. ORCID: 0000-0003-0424-7425, Agostinho, C. , Vezakis, I., Pimenta, A., Gallo, L. & Spanoudakis, G. ORCID: 0000-0002-0037-2600 (2023). Pseudonymisation in the context of GDPR-compliant medical research. In: 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN). . New York, USA: IEEE. ISBN 9781665475983 doi: 10.1109/DRCN57075.2023.10108370

Basdekis, I., Sakkalis, V. & Stephanidis, C. (2011). Towards an Accessible Personal Health Record. Paper presented at the Second International ICST Conference, MobiHealth 2011, 5 - 7 October 2011, Kos Island, Greece. doi: 10.1007/978-3-642-29734-2_9

Bawden, D. (2008). How real is the Google generation?. Paper presented at the 5th Conference of NAPLE (National Authorities on Public Libraries in Europe), October 2008, Vilnius, Lithuania.

Bawden, D. (2011). Mind the gap: transitions between concepts of information in varied domains. Paper presented at the Information ecology and libraries conference, 10th - 12th October 2011, Comenius University Bratislava, Slovakia.

Bawden, D. (2009). Sharing knowledge and information, three views of the future. Paper presented at the Inforum 2009, May 2009, Prague, Czech Republic.

Bawden, D. & Robinson, L. (2001). Information and knowledge for open societies; seven principles for libraries and librarians. Paper presented at the Knowledge, Information and Democracy in the Open Society: the Role of the Library and Information Sector (The 9th BOBCATSSS Symposium), 29th - 31st January 2001, Vilnius University, Lithuania.

Bawden, D., Robinson, L. & Calvert, A. (2008). Value and impact: New trends in evaluating library and information services. Paper presented at the 3rd Joint Conference of Slovene Special and Academic Libraries, October 2008, Ljubljana, Slovenia.

Beecham, R., Dykes, J., Slingsby, A. & Turkay, C. (2015). Supporting crime analysis through visual design. Paper presented at the VIS 2015, 25-10-2015 - 30-10-2015, Chicago, USA.

Benetos, E., Badeau, R., Weyde, T. & Richard, G. (2014). Template Adaptation for Improving Automatic Music Transcription. Paper presented at the 15th International Society for Music Information Retrieval Conference (ISMIR), 27-10-2014 - 31-10-2014, Taipei, Taiwan.

Benetos, E., Cherla, S. & Weyde, T. (2013). An efficient shift-invariant model for polyphonic music transcription. Paper presented at the MML 2013: 6th International Workshop on Machine Learning and Music, 23 Sep 2013, Prague, Czech Republic.

Benetos, E. & Dixon, S. (2010). Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution. Paper presented at the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, 25 Sep 2010, Makuhari, Japan.

Benetos, E. & Dixon, S. (2011). Multiple-instrument polyphonic music transcription using a convolutive probabilistic model. Paper presented at the 8th Sound and Music Computing Conference, 6 - 9 Jul 2011, Padova, Italy.

Benetos, E. & Dixon, S. (2011). Polyphonic music transcription using note onset and offset detection. Paper presented at the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 22 - 27 May 2011, Prague, Czech Republic. doi: 10.1109/ICASSP.2011.5946322

Benetos, E. & Dixon, S. (2011). A temporally-constrained convolutive probabilistic model for pitch detection. Paper presented at the Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011 IEEE Workshop on, 16 - 19 Oct 2011, New Paltz, NY, US.

Benetos, E., Dixon, S., Giannoulis, D. , Kirchhoff, H. & Klapuri, A. (2012). Automatic Music Transcription: Breaking the Glass Ceiling. Paper presented at the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), 8 - 12 Oct 2012, Porto, Portugal.

Benetos, E. & Holzapfel, A. (2013). Automatic transcription of Turkish makam music. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, PR, Brazil.

Benetos, E. & Holzapfel, A. (2014). Incorporating pitch class profiles for improving automatic transcription of Turkish makam music. Paper presented at the 4th International Workshop on Folk Music Analysis, 12-06-2014 - 13-06-2014, Istanbul, Turkey.

Benetos, E., Holzapfel, A. & Stylianou, Y. (2009). Pitched Instrument Onset Detection based on Auditory Spectra. Paper presented at the 10th International Society for Music Information Retrieval Conference, ISMIR 2009, 26 - 30 Oct 2009, Kobe, Japan.

Benetos, E., Jansson, A. & Weyde, T. (2014). Improving automatic music transcription through key detection. Paper presented at the AES 53rd International Conference on Semantic Audio, 27 - 29 Jan 2014, London, UK.

Benetos, E., Klapuri, A. & Dixon, S. (2012). Score-informed transcription for automatic piano tutoring. European Signal Processing Conference, ISSN 2219-5491

Benetos, E. & Kotropoulos, C. (2008). A tensor-based approach for automatic music genre classification. Paper presented at the EUSIPCO 2008: 16th European Signal Processing Conference, 25 - 29 Aug 2008, Lausanne, Switzerland.

Benetos, E., Kotropoulos, C., Lidy, T. & Rauber, A. (2006). Testing supervised classifiers based on non-negative matrix factorization to musical instrument classification. Paper presented at the EUSIPCO 2006: 14th European Signal Processing Conference, 4 - 8 Sep 2006, Florence, Italy.

Benetos, E., Kotti, M. & Kotropoulos, C. (2006). Applying supervised classifiers based on non-negative matrix factorization to musical instrument classification. Paper presented at the IEEE International Conference on Multimedia and Expo (ICME 2006), 9 - 12 July 2006, Toronto, Canada. doi: 10.1109/ICME.2006.262650

Benetos, E., Kotti, M. & Kotropoulos, C. (2007). Large scale musical instrument identification. Paper presented at the 4th Sound and Music Computing Conference, 11 - 13 Jul 2007, Lefkada, Greece.

Benetos, E., Kotti, M. & Kotropoulos, C. (2006). Musical instrument classification using non-negative matrix factorization algorithms and subset feature selection. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 5, pp. 221-224. ISSN 1520-6149

Benetos, E., Kotti, M., Kotropoulos, C. , Burred, J. J., Eisenberg, G., Haller, M. & Sikora, T. (2005). Comparison of subspace analysis-based and statistical model-based algorithms for musical instrument classification. Paper presented at the 2nd Workshop On Immersive Communication And Broadcast Systems (ICOB 2005), 27 - 28 Oct 2005, Berlin, Germany.

Benetos, E., Lagrange, M. & Dixon, S. (2012). Characterisation of acoustic scenes using a temporally-constrained shift-invariant model. Paper presented at the 15th International Conference on Digital Audio Effects Conference (DAFx-12), 17 - 21 Sept 2012, University of York, York, UK.

Benetos, E. & Weyde, T. (2013). Explicit duration hidden Markov models for multiple-instrument polyphonic music transcription. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, Brazil.

Berget, G. & MacFarlane, A. ORCID: 0000-0002-8057-0737 (2019). Experimental Methods in IIR: The Tension between Rigour and Ethics in Studies Involving Users with Dyslexia. In: CHIIR '19: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval. (pp. 93-101). New York, USA: ACM. ISBN 9781450360258 doi: 10.1145/3295750.3298939

Bernardy, J-P., Jansson, P. & Paterson, R. A. (2010). Parametricity and Dependent Types. Paper presented at the International Conference on Functional Programming, 27-09-2010 - 29-09-2010, Baltimore, USA. doi: 10.1145/1932681.1863592

Beveridge, L., Makri, S. ORCID: 0000-0002-5817-4893 & Macfarlane, A. ORCID: 0000-0002-8057-0737 (2022). 'I’m just not sure.' The persistence of uncertainty in the information seeking of undergraduate students with dyslexia. Information Research: an international electronic journal, 27, ISSN 1368-1613 doi: 10.47989/irisic2207

Biffi, C., Oktay, O., Tarroni, G. ORCID: 0000-0002-0341-6138 , De Marvao, A., Bai, W., Doumou, G., Rajchl, M., Bedair, R., Prasad, S., Cook, S., O'Regan, D. & Rueckert, D. (2018). Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, 11071. (pp. 464-471). Cham: Springer. ISBN 978-3-030-00933-5 doi: 10.1007/978-3-030-00934-2_52

Bishop, P. ORCID: 0000-0003-3307-5159, Povyakalo, A. ORCID: 0000-0002-4068-422X & Strigini, L. ORCID: 0000-0002-4246-2866 (2022). Bootstrapping confidence in future safety based on past safe operation. 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE), ISSN 1071-9458 doi: 10.1109/ISSRE55969.2022.00020

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. Paper presented at the 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, 11-15 Jun 2017, San Francisco, USA.

Bloomfield, R. E. & Netkachova, K. (2014). Building Blocks for Assurance Cases. Paper presented at the International Symposium on Software Reliability Engineering (ISSRE), 03-11-2014 - 06-11-2014, Naples, Italy.

Bojanczyk, M., Daviaud, L