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Items where Division is "Department of Computer Science" and Year is 2022

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Number of items: 35.

A

Amaradio, M. N., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Gulisano, M., Costanza, J. and Nicosia, G. (2022) Pareto optimal metabolic engineering for the growth-coupled overproduction of sustainable chemicals. Biotechnology and Bioengineering. ISSN 0006-3592 doi: https://doi.org/10.1002/bit.28103 (In Press)

Amoudi, S. A., Hong, X. and Wei, H. (2022) Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. In: The 21st UK Workshop on Computational Intelligence, 7-9, Sept,2022, Sheffield. (In Press)

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks. In: 5th International Conference on Advanced Systems and Emergent Technologies, 22-25 MAR 2022, Hammamet, Tunisia. doi: https://doi.org/10.1109/IC_ASET53395.2022.9765948

Assaf, O., Di Fatta, G. and Nicosia, G. (2022) Multivariate LSTM for stock market volatility prediction. In: International Conference on Machine Learning, Optimization, and Data Science, 4-8 OCT 2021, Grasmere, UK, pp. 531-544. doi: https://doi.org/10.1007/978-3-030-95470-3_40

B

Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Nawaz, T. and Ferryman, J. ORCID: https://orcid.org/0000-0003-2194-4871 (2022) Using Deep Siamese networks for trajectory analysis to extract motion patterns in videos. Electronics Letters. ISSN 0013-5194 doi: https://doi.org/10.1049/ell2.12460

C

Chen, L., Boyle, J., Danelakis, A., Ferryman, J., Ferstl, S., Gicic, D., Grudzień, A., Howe, A., Marcin, K., Mierzejewski, K. and Theoharis, T. (2022) D4FLY multimodal biometric database: multimodal fusion evaluation envisaging on-the-move biometric-based border control. In: 17th IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS 2021), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663737

G

Galea, D. (2022) Meteorological data reduction for tropical cyclones using deep learning techniques. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00108656

Gao, M., Yang, F., Wei, H. and Liu, X. (2022) Individual maize location and height estimation in field from UAV-borne LiDAR and RGB images. Remote Sensing, 14 (10). e2292. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14102292

H

Hanga, K. M., Kovalchuk, Y. and Gaber, M. M. (2022) PGraphD*: methods for drift detection and localisation using deep learning modelling of business processes. Entropy, 24 (7). 910. ISSN 1099-4300 doi: https://doi.org/10.3390/e24070910

Hong, X., Gao, J., Wei, H., Xiao, J. and Mitchell, R. (2022) Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing. ISSN 0925-2312 (In Press)

I

Ihmeida, M. and Wei, H. (2022) Image registration techniques and applications: comparative study on remote sensing imagery. In: 14th International Conference on Developments in eSystems Engineering (DeSE), 7-10 DEC 2021, Sharjah, United Arab Emirates, pp. 142-148. doi: https://doi.org/10.1109/DeSE54285.2021.9719538

K

Kirchhof, J. C., Moin, A., Badii, A., Günnemann, S. and Challenger, M. (2022) MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna & ML-Quadrat. In: ACM / IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS), 23-28 Oct 2022, Montréal, Canada. (In Press)

Kovalchuk, Y. ORCID: https://orcid.org/0000-0003-4306-4680, Budini, E., Cook, R. M. and Walsh, A. (2022) Investigating the relationship between facial mimicry and empathy. Behavioral Sciences, 12 (8). 250. ISSN 2076-328X doi: https://doi.org/10.3390/bs12080250

L

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) Reprobate at ITC 2021: pseudoboolean optimisation for RobinX sports timetabling. In: 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021, 23 Aug 2022 - 26 Aug 2022, Bruges, Belgium, pp. 454-459.

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) Pseudo-Boolean optimisation for RobinX sports timetabling. Journal of Scheduling, 25. pp. 287-299. ISSN 1099-1425 doi: https://doi.org/10.1007/s10951-022-00737-7

Li, X., Liang, H., Nagala, S. and Chen, J. (2022) Improving ultrasound image classification with local texture quantisation. In: The International Conference on Acoustics, Speech, & Signal Processing (ICASSP). (In Press)

Liang, H. (2022) DRprofiling: deep reinforcement user profiling for recommendations in heterogenous information networks. Transactions on Knowledge and Data Engineering, 34 (4). pp. 1723-1734. ISSN 1558-2191 doi: https://doi.org/10.1109/TKDE.2020.2998695

Liang, H. and Markchom, T. (2022) TNE: a general time-aware network representation learning framework for temporal applications. Knowledge-Based Systems, 240. 108050. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2021.108050

Liu, X., Yang, F., Wei, H. and Gao, M. (2022) Shadow compensation from UAV images based on texture-preserving local color transfer. Remote Sensing, 14 (19). 4969. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14194969

Liu, X., Yang, F., Wei, H. and Gao, M. (2022) Shadow removal from UAV images based on color and texture equalization compensation of local homogeneous regions. Remote Sensing, 14 (11). e2616. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14112616

M

Moin, A., Challenger, M., Badii, A. and Günnemann, S. (2022) Supporting AI engineering on the IoT edge through model-driven TinyML. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 27 June 2022 - 01 July 2022, Los Alamitos, CA, pp. 884-893. doi: https://doi.org/10.1109/COMPSAC54236.2022.00140 (ISSN: 0730-3157, ISBN 978166548810-5)

Moin, A., Challenger, M., Badii, A. and Günnemann, S. (2022) Towards model-driven engineering for quantum AI. INFORMATIK 2022, Lecture Notes in Informatics (LNI). pp. 1121-1131. ISSN 1617-5468 doi: https://doi.org/10.18420/inf2022_95

Moin, A. ORCID: https://orcid.org/0000-0002-8484-7836, Challenger, M., Badii, A. and Günnemann, S. (2022) A model-driven approach to machine learning and software modeling for the IoT. Software and Systems Modeling. ISSN 1619-1366 doi: https://doi.org/10.1007/s10270-021-00967-x

Moin, A., Mituca, A., Challenger, M., Badii, A. and Günnemann, S. (2022) ML-Quadrat & DriotData: a model-driven engineering tool and a low-code platform for smart IoT services. In: 2022 IEEE/ACM 44th International Conference on Software Engineering, 22-24 May 2022, Pittsburgh, PA, USA, pp. 144-148. doi: https://doi.org/10.1109/ICSE-Companion55297.2022.9793752

Moin, A., Wattanavaekin, U., Lungu, A., Badii, A., Gunnemann, S. and Challenger, M. (2022) Enabling automated machine learning for model-driven AI engineering. IEEE Software. ISSN 1937-4194 (In Press)

O

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Nicosia, G. (2022) Backpropagation neural tree. Neural Networks, 149. ISSN 0893-6080 doi: https://doi.org/10.1016/j.neunet.2022.02.003

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Timmis, J. and Nicosia, G. (2022) Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm and Evolutionary Computation, 74. 101130. ISSN 2210-6502 doi: https://doi.org/10.1016/j.swevo.2022.101130

P

Patino, L., Boyle, J., Ferryman, J., Auer, J., Pegoraro, J., Pflugfelder, R., Cokbas, M., Janusz, K., Ishwar, P., Slavic, G., Marcenaro, L., Jiang, Y., Jin, Y., Ko, H., Zhao, G., Ben-yosef, G. and Qiu, J. (2022) PETS2021: Through-foliage detection and tracking challenge and evaluation. In: 17th IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS 2021), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663837

Patino, L., Cane, T. and Ferryman, J. (2022) A comprehensive maritime benchmark dataset for detection, tracking and threat recognition. In: 17th IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS 2021), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663739

Patino, L., Hubner, M., King, R., Litzenberger, M., Roupioz, L., Michon, K., Szklarski, L., Pegoraro, J., Stoianov, N. and Ferryman, J. (2022) Fusion of heterogenous sensor data in border surveillance. Sensors, 22 (19). 7351. ISSN 1424-8220 doi: https://doi.org/10.3390/s22197351

Porter, J. (2022) Evaluating performance on a bespoke maths game with children with Down Syndrome. Journal of Computer Assisted Learning. ISSN 1365-2729 doi: https://doi.org/10.1111/jcal.12685

Prakash, N., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Mueller, C. L., Ferdinand, O. and Zielinski, O. (2022) Intelligent Marine Pollution Analysis on Spectral Data. In: OCEANS 2021, 20-23 SEPT 2021, San Diego, Porto, pp. 1-6. doi: https://doi.org/10.23919/OCEANS44145.2021.9706056

Z

Zaznov, I. ORCID: https://orcid.org/0000-0003-1229-5515, Kunkel, J., Dufour, A. ORCID: https://orcid.org/0000-0003-0519-648X and Badii, A. (2022) Predicting stock price changes based on the limit order book: a survey. Mathematics, 10 (8). 1234. ISSN 2227-7390 doi: https://doi.org/10.3390/math10081234

Zhang, J., Chen, M. and Hong, X. (2022) Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability. IEEE Transactions on Industrial Informatics. ISSN 1941-0050 doi: https://doi.org/10.1109/TII.2022.3215971 (In Press)

Zhang, J., Zhou, D., Chen, M. and Hong, X. (2022) Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant. IEEE transactions on Automation Science and Engineering. ISSN 1558-3783 doi: https://doi.org/10.1109/TASE.2022.3144288

This list was generated on Fri Dec 2 03:38:30 2022 UTC.

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