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A

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

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

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

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

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

Abufadel, A., Slabaugh, G. G., Unal, G. B. , Zhang, L. & Odry, B. (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. (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

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.

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

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)

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

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

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. (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. (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. (2017). Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. In: Yao, J., Vrtovec, T., Zheng, G. , Frangi, A., Glocker, B. & Li, S. (Eds.), Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. Lecture Notes in Computer Science, 10182. (pp. 3-15). Cham: Springer.

Al-Arif, S. M., Gundry, M., Slabaugh, G. G. & Knapp, K. (2017). Global Localization and Orientation of the Cervical Spine in X-ray Imaging. In: Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Lecture Notes in Computer Science, 10182. (pp. 64-76). Cham: Springer. ISBN 978-3-319-55049-7

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, 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

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(11), 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. (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

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.

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

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. (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. (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.

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

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

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

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, 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. (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, 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. 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.

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., 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

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.

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

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

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

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

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

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

B

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