City Research Online

Besold, T. R., ed. (2018). Pre-Proceedings of the Cognitive Computation Symposium: Thinking Beyond Deep Learning (CoCoSym 2018) : Extended Abstracts/Speakers' Positions. London: City, University of London.

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.view all authors (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.view all authors (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

Abdan, S. (2023). Investigation of Mechanical Losses in Oil-flooded, Twin-screw Air Compressors. (Unpublished Doctoral thesis, City, University of London)

Abdan, S., Basha, N., Kovacevic, A. ORCID: 0000-0002-8732-2242 , Stosic, N., Birari, A. & Asati, N.view all authors (2019). Development and Design of Energy Efficient Oil-Flooded Screw Compressors. In: IOP Conference Series: Materials Science and Engineering. 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.view all authors (2022). Results of SemTab 2022. In: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching. Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2022), 23-27 Oct 2022, Virtual.

Abrishamchi, M. A. N., Abdullah, A. H., Cheok, A. D. ORCID: 0000-0001-6316-2339 & Bielawski, K. S.view all authors (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.view all authors (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.view all authors (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

Abufadel, A., Slabaugh, G. G., Unal, G. B. , Zhang, L. & Odry, B.view all authors (2006). Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation. In: 18th International Conference on Pattern Recognition, 2006. ICPR 2006. (pp. 1013-1016). IEEE Computer Society. doi: 10.1109/ICPR.2006.719

Abufadel, A., Slabaugh, G. G., Unal, G. B. , Zhang, L. & Odry, B.view all authors (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. 15th International Joint Conference on e-Business and Telecommunications, ICETE 2018, 26 - 27 July 2018, Porto, Portugal. doi: 10.5220/0006884405140519

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.view all authors (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: 0000-0001-5491-7437view all authors (2023). Automation of knowledge extraction for degradation analysis. CIRP Annals, 72(1), pp. 33-36. doi: 10.1016/j.cirp.2023.03.013

Aden, I., Child, C. H. T. ORCID: 0000-0001-5425-2308 & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2024). International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art. Big Data and Cognitive Computing, 8(5), article number 47. doi: 10.3390/bdcc8050047

Adhikari, S., Asad, H. ORCID: 0000-0002-8506-5721 & Jones, K. (2024). Enhancing IoT Security: Novel Mechanisms for Malware Detection using HPCs and Neural Networks. Paper presented at the at 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 1-3 Nov 2023, Exeter, UK. doi: 10.1109/TrustCom60117.2023.00199

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

Adnan, M., Nguyen, H. P., Ruddle, R. & Turkay, C. ORCID: 0000-0001-6788-251Xview all authors (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). EuroVis Workshop on Visual Analytics (EuroVA) 2019, 03 June 2019, Porto, Portugal. doi: 10.2312/eurova.20191126

Adriano Moran, Juan (2012). The reality of home remote patient monitoring: A thesis on the nature, dynamics and effects of telehealth. (Unpublished Doctoral thesis, City University London)

Agerri, R. (2006). Motivational attitudes and norms in a unified agent communication language for open multi-agent systems: A pragmatic approach. (Unpublished Doctoral thesis, City, University of London)

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. RAIS 2022 2nd International Workshop on Reliability of Autonomous Intelligent Systems, 31 Oct - 3 Nov 2022, Charlotte, NC, USA. doi: 10.1109/ISSREW55968.2022.00085

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.view all authors (2018). Supporting shared hypothesis testing in the biomedical domain. Journal of Biomedical Semantics, 9(1), article number 9. doi: 10.1186/s13326-018-0177-x

Ahmed, S., Balasubramanian, H., Stumpf, S. ORCID: 0000-0001-6482-1973 , Morrison, C., Sellen, A. & Grayson, M.view all authors (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. ACM Conference on Intelligent User Interfaces, 17 - 20 March 2020, Cagliari, Italy. doi: 10.1145/3377325.3377508

Aksenov, V. ORCID: 0000-0001-9134-5490, Anoprenko, M., Fedorov, A. & Spear, M.view all authors (2023). Brief Announcement: BatchBoost: Universal Batching for Concurrent Data Structures. In: Leibniz International Proceedings in Informatics. International Symposium on Distributed Computing (DISC), 10-12 Oct 2023, L'Aquila, Italy. doi: 10.4230/LIPIcs.DISC.2023.35

Al Arif, S.M.M.R. (2018). Fully automatic image analysis framework for cervical vertebra in X-ray images. (Unpublished Doctoral thesis, City, University of London)

Al Arifi, S. M. M. R., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G.view all authors (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 Azwani, N. (2020). Optimizing deterrence strategies in state-state cyber conflicts theoretical models for strategic cyber deterrence. (Unpublished Doctoral thesis, City, University of London)

Al-Arif, S. M., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G.view all authors (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., Knapp, K. & Slabaugh, G. G.view all authors (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.view all authors (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.view all authors (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.

Al-Kadi, Khulud (2012). Telecare for managing diabetes in Saudi Arabia. (Unpublished Doctoral thesis, City University London)

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, 23(5), pp. 1492-1505. doi: 10.1109/tvcg.2016.2535340

Alberts, H. C. (1995). Redesigning the United States defense acquisition system. (Unpublished Doctoral thesis, City, University of London)

Albrecht, T., Slabaugh, G. G., Alonso, E. & Al-Arif, M. R.view all authors (2017). Deep Learning for Single-Molecule Science. Nanotechnology, 28(42), article number 423001. doi: 10.1088/1361-6528/aa8334

Alevizos, C. (2009). SYMEX: A Systems Theory based Framework for Workflow Modelling and Execution. (Unpublished Doctoral thesis, City, University of London)

Alexandrov, S., Sen, A. & Stefanski, B. (2021). D-instantons in Type IIA string theory on Calabi-Yau threefolds. Journal of High Energy Physics, 2021(11), article number 18. doi: 10.1007/jhep11(2021)018

Algaith, A. (2019). Assessing the security benefits of defence in depth. (Unpublished Doctoral thesis, City, University of London)

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

Algaith, A., Elia, I. A., Gashi, I. & Vieira, M. R.view all authors (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

Algaith, A., Nunes, P., Fonseca, J. , Gashi, I. ORCID: 0000-0002-8017-3184 & Viera, M.view all authors (2018). Finding SQL Injection and Cross Site Scripting Vulnerabilities with Diverse Static Analysis Tools. In: 2018 14th European Dependable Computing Conference (EDCC). 14th European Dependable Computing Conference, 10-14 Sep 2018, Iasi, Romania. doi: 10.1109/EDCC.2018.00020

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.view all authors (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.view all authors (2019). Results of the ontology alignment evaluation initiative 2019. CEUR Workshop Proceedings, 2536, pp. 46-85.

Alghamdi, A., Zhu, J., Yin, G. , Shorfuzzaman, M., Alsufyani, N., Alyami, S. & Biswas, S. ORCID: 0000-0002-6770-9845view all authors (2022). Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis. Sensors, 22(18), article number 6786. doi: 10.3390/s22186786

Alghamdi, S. (2022). Data-driven modelling of unhealthy snacking behaviour. (Unpublished Doctoral thesis, City, University of London)

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. doi: 10.1007/978-3-030-69717-4_16

Ali, H., D'Avila Garcez, A.S., Tran, S.N. , Zhou, X. & Iqbal, K.view all authors (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.view all authors (2016). Speaker recognition with hybrid features from a deep belief network. Neural Computing and Applications, 29(6), pp. 13-19. doi: 10.1007/s00521-016-2501-7

Allain, K. & Weyde, T. ORCID: 0000-0001-8028-9905 (2024). JazzDAP: Collaborative Research Tools for Digital Jazz Archives. In: Proceedings of the 11th International Conference on Digital Libraries for Musicology. DLfM 2024: 11th International Conference on Digital Libraries for Musicology, 27 Jun 2024, Stellenbosch, South Africa. doi: 10.1145/3660570.3660572

Allain, K. T. (2022). SFNCS: A Framework for Assessment of Spatio-Temporal Visualization Methods. (Unpublished Doctoral thesis, City, University of London)

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. & 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 (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., 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 (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

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 (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. 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. 4th International Conference on Agents and Artificial Intelligence, 6-8 Feb 2012, Algarve, Portugal. 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.

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.view all authors (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.view all authors (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), article number e28854. doi: 10.2196/28854

Alvino, C. V., Unal, G. B., Slabaugh, G. G. , Peny, B. & Fang, T.view all authors (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.view all authors (2018). Receiving Aphasia Intervention in a Virtual Environment: The Participants’ Perspective. Aphasiology, 32(5), pp. 538-558. 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, 7, pp. 185-192. doi: 10.1109/securware.2008.58

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: 0000-0002-9466-2018view all authors (2020). Radiography Classification: A comparison between Eleven Convolutional Neural Networks. In: 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA), 19-22 Oct 2020, Online. doi: 10.1109/MCNA50957.2020.9264285

Anderson, C., Copestake, P. & Robinson, L. (2000). A specialist toxicity database (TRACE) is more effective than its larger, commercially available counterparts. Toxicology, 151(1-3), pp. 37-43. doi: 10.1016/s0300-483x(00)00264-x

Anderson, P. (1990). Computer architecture for wafer scale integration. (Unpublished Doctoral thesis, City, University of London)

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. & Hecker, D. (2023). Extracting Movement-based Topics for Analysis of Space Use. In: EuroVA: International Workshop on Visual Analytics. 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 & Hecker, D. (2024). Topic modelling for spatial insights: Uncovering space use from movement data. Computers & Graphics, 122, article number 103989. doi: 10.1016/j.cag.2024.103989

Andrienko, N. ORCID: 0000-0003-3313-1560 & Andrienko, G. ORCID: 0000-0002-8574-6295 (2024). Exploring Relationships between Events in Context. In: International Workshop on Visual Analytics. EuroVis Workshop on Visual Analytics (2024), 27 May 2024, Odense, Denmark. doi: 10.2312/eurova.20241114

Andrienko, N. ORCID: 0000-0002-8574-6295, Andrienko, G. ORCID: 0000-0002-8574-6295, Artikis, A. , Mantenoglou, P. & Rinzivillo, S.view all authors (2024). Human-in-the-Loop: Visual Analytics for Building Models Recognising Behavioural Patterns in Time Series. IEEE Computer Graphics and Applications, 44(3), pp. 14-29. doi: 10.1109/mcg.2024.3379851

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

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

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.view all authors (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.view all authors (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. ORCID: 0000-0002-8574-6295, Andrienko, N., Cordero Garcia, J. M. , Hecker, D. & Vouros, G.view all authors (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.view all authors (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. 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.view all authors (2018). Visual analytics of flight trajectories for uncovering decision making strategies. In: SESAR Innovation Days. Eighth SESAR Innovation Days, 3-7 Dec 2018, Salzburg, Austria.

Andrienko, G., Andrienko, N., Fuchs, G. & Wood, J.view all authors (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.view all authors (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

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