Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications
Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. 2023. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2216-2221Conference paper
A topological features based quantum kernel
Incudini, M., Martini, F., Di Pierro, A. and Windridge, D. 2023. A topological features based quantum kernel. 7th International Conference on Quantum Techniques in Machine Learning. CERN, Geneva 19 - 24 Nov 2023Conference paper
MesoGraph: automatic profiling of mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of mesothelioma subtypes from histological images. Cell Reports Medicine. 4 (10). https://doi.org/10.1016/j.xcrm.2023.101226Article
Interpretable chronic kidney disease risk prediction from clinical data using machine learning
Chennareddy, V., Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Interpretable chronic kidney disease risk prediction from clinical data using machine learning. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_63Conference paper
Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings
Morusupalli, R., Dandibhotla, T., Atluri, V., Windridge, D., Lingras, P. and Komati, V. (ed.) 2023. Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings. Springer.Conference Proceedings
Addressing challenges in healthcare big data analytics
Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Addressing challenges in healthcare big data analytics. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_70Conference paper
Review of parameter tuning methods for nature-inspired algorithms
Joy, G., Huyck, C. and Yang, X. 2023. Review of parameter tuning methods for nature-inspired algorithms. in: Yang, X. (ed.) Benchmarks and Hybrid Algorithms in Optimization and Applications Singapore Springer. pp. 33-47Book chapter
Using Hidden Markov Chain for improving the dependability of safety-critical WSNs
Al-Nader, I., Lasebae, A. and Raheem, R. 2023. Using Hidden Markov Chain for improving the dependability of safety-critical WSNs. Barolli, L. (ed.) 37th International Conference on Advanced Information Networking and Applications. Federal University of Juiz de Fora, Brazil 29 - 31 Mar 2023 Cham, Switzerland. Springer. pp. 460–472 https://doi.org/10.1007/978-3-031-29056-5_40Conference paper
Visual attribution using Adversarial Latent Transformations
Zia, T., Wahab, A., Windridge, D., Tirunagari, S. and Bhatti, N. 2023. Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. https://doi.org/10.1016/j.compbiomed.2023.107521Article
Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain
Edris, E., Aiash, M., Khoshkholghi, A., Naha, R., Chowdhury, A. and Loo, J. 2023. Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things. 24. https://doi.org/10.1016/j.iot.2023.100913Article
Deep combination of radar with optical data for gesture recognition: role of attention in fusion architectures
Towakel, P., Windridge, D. and Nguyen, H. 2023. Deep combination of radar with optical data for gesture recognition: role of attention in fusion architectures. IEEE Transactions on Instrumentation and Measurement. 72, pp. 1-15. https://doi.org/10.1109/TIM.2023.3307768Article
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. Artificial Intelligence in Medicine. 143. https://doi.org/10.1016/j.artmed.2023.102628Article
Android code vulnerabilities early detection using AI-powered ACVED plugin
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. 2023. Android code vulnerabilities early detection using AI-powered ACVED plugin. Atluri, V. and Ferrara, A. (ed.) 37th Annual IFIP WG 11.3 Conference (DBSec 2023). Sophia-Antipolis, France 19 - 21 Jul 2023 Cham, Switzerland. Springer. pp. 339–357 https://doi.org/10.1007/978-3-031-37586-6_20Conference paper
Labelled vulnerability dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Piras, L. and Petrovski, A. 2023. Labelled vulnerability dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models. Vimercati, S. and Samarati, P. (ed.) International Conference on Security and Cryptography (SECRYPT) 2023. Rome, Italy 10 - 12 Jul 2023 SCITEPRESS - Science and Technology Publications. pp. 659-666 https://doi.org/10.5220/0012060400003555Conference paper
Goal-modeling privacy-by-design patterns for supporting GDPR compliance
Al-Obeidallah, M., Piras, L., Iloanugo, O., Mouratidis, H., Alkubaisy, D and Dellagiacoma, D. 2023. Goal-modeling privacy-by-design patterns for supporting GDPR compliance. Fill, H.-G., Domínguez-Mayo, F.J., van Sinderen, M. and Maciaszek, L. (ed.) International Conference on Software Technologies (ICSOFT). Rome, Italy 10 - 12 Jul 2023 SCITEPRESS - Science and Technology Publications. pp. 361-368 https://doi.org/10.5220/0012080700003538Conference paper
The quantum path kernel: A generalized neural tangent kernel for deep quantum machine learning
Incudini, M., Grossi, M., Mandarino, A., Vallecorsa, S., Di Pierro, A. and Windridge, D. 2023. The quantum path kernel: A generalized neural tangent kernel for deep quantum machine learning. IEEE Transactions on Quantum Engineering. 4. https://doi.org/10.1109/TQE.2023.3287736Article
A.I.: Artificial Intelligence as philosophy: machine consciousness and intelligence
Gamez, D. 2023. A.I.: Artificial Intelligence as philosophy: machine consciousness and intelligence. in: Johnson, D., Kowalski, D., Lay, C. and Engels, K. (ed.) The Palgrave Handbook of Popular Culture as Philosophy Palgrave Macmillan.Book chapter
IoT-based emergency vehicle services in intelligent transportation system
Chowdhury, A., Kaisar, S., Khoda, M., Naha, R., Khoshkholghi, A. and Aiash, M. 2023. IoT-based emergency vehicle services in intelligent transportation system. Sensors. 23 (11). https://doi.org/10.3390/s23115324Article
Pediatrics in artificial intelligence era: A systematic review on challenges, opportunities, and explainability
Balla, Y., Tirunagari, S. and Windridge, D. 2023. Pediatrics in artificial intelligence era: A systematic review on challenges, opportunities, and explainability. Indian Pediatrics. 60 (7), pp. 561-569. https://doi.org/10.1007/s13312-023-2936-8Article
Resource saving via ensemble techniques for quantum neural networks
Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S. and Windridge, D. 2023. Resource saving via ensemble techniques for quantum neural networks. https://doi.org/10.48550/arXiv.2303.11283Pre-print
CAGE: Consensus Algorithm Genetically Enhanced
Mitchell, I. and Maka, K. 2023. CAGE: Consensus Algorithm Genetically Enhanced. 15th International Conference on Global Security, Safety & Sustainability. Virtual Online 11 - 12 Oct 2023 Springer.Conference paper
Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT)
Ponugumati, S., Ali, K., Lasebae, A., Zahoor, Z., Kiyani, A., Khoshkholghi, A. and Maddu, L. 2023. Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 75-80 https://doi.org/10.1109/CCGridW59191.2023.00026Conference paper
Federated learning for performance prediction in multi-operator environments
Lan, X., Taghia, J., Moradi, F., Khoshkholghi, A., Listo Zec, E., Mogren, O., Mahmoodi, T. and Johnsson, A. 2023. Federated learning for performance prediction in multi-operator environments. ITU Journal on Future and Evolving Technologies. 4 (1), pp. 166-177. https://doi.org/10.52953/PFYZ9165Article
Generative recorrupted-to-recorrupted: an unsupervised image denoising network for arbitrary noise distribution
Liu, Y., Wan, B., Shi, D. and Cheng, X. 2023. Generative recorrupted-to-recorrupted: an unsupervised image denoising network for arbitrary noise distribution. Remote Sensing. 15 (2). https://doi.org/10.3390/rs15020364Article
Developing a novel digital forensics readiness framework for wireless medical networks using specialised logging
Mpungu, C., George, C. and Mapp, G. 2023. Developing a novel digital forensics readiness framework for wireless medical networks using specialised logging. Jahankhani, H. (ed.) 14th ICGS3-22: International Conference on Global Security, Safety and Sustainability. Virtual Conference 07 - 08 Sep 2022 Springer. pp. 203-226 https://doi.org/10.1007/978-3-031-20160-8_12Conference paper
Value of information in the mean-square case and its application to the analysis of financial time-series forecast
Belavkin, R., Pardalos, P. and Principe, J. 2023. Value of information in the mean-square case and its application to the analysis of financial time-series forecast. Simos, D., Rasskazova, V., Archetti, F., Kotsireas, I. and Pardalos, P. (ed.) 16th International Conference on Learning and Intelligent Optimization. Milos Island, Greece 05 - 10 Jun 2022 Cham Springer. https://doi.org/10.1007/978-3-031-24866-5_39Conference paper
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time
Gao, X., Taylor, S., Pang, W., Hui, R., Lu, X., Oxford GI Investigators and Braden, B. 2023. Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. Information Fusion. 92, pp. 64-79. https://doi.org/10.1016/j.inffus.2022.11.023Article
Android source code vulnerability detection: a systematic literature review
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. 2023. Android source code vulnerability detection: a systematic literature review. ACM Computing Surveys. 55 (9). https://doi.org/10.1145/3556974Article
Reducing the dependency of having prior domain knowledge for effective online information retrieval
Zammit, O., Smith, S., Windridge, D. and De Raffaele, C. 2023. Reducing the dependency of having prior domain knowledge for effective online information retrieval. Expert Systems. 40 (4). https://doi.org/10.1111/exsy.13014Article
Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles
Li, S., Cheng, X., Huang, X., Otaibi, S. and Wang, H. 2023. Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles. IEEE Transactions on Intelligent Transportation Systems. 24 (2), pp. 2183-2198. https://doi.org/10.1109/TITS.2021.3137458Article
A user-guided personalization methodology to facilitate new smart home occupancy
Ali, S.M.M., Augusto, J., Windridge, D. and Ward, E. 2023. A user-guided personalization methodology to facilitate new smart home occupancy. Universal Access in the Information Society. 22 (3), pp. 869-891. https://doi.org/10.1007/s10209-022-00883-xArticle
eHealth: legal, ethical and governance challenges
George, C., Whitehouse, D. and Duquenoy, P. (ed.) 2013. eHealth: legal, ethical and governance challenges. Berlin, Heidelberg Springer.Book
Quality traceability for user-centric context-aware systems in intelligent environments
Sakanga, N., Augusto, J., Brodie, L. and Marzano, L. 2022. Quality traceability for user-centric context-aware systems in intelligent environments. Work-07: Digital Innovation for people well-being: Healthcare and Agriculture perspectives . Yokohama, Japan 07 Nov 2022 IEEE. https://doi.org/10.1109/WF-IoT54382.2022.10152209Conference paper
An efficient quality of services based wireless sensor network for anomaly detection using soft computing approaches
Mittal, M., Kobielnik, M., Gupta, S., Cheng, X. and Wozniak, M. 2022. An efficient quality of services based wireless sensor network for anomaly detection using soft computing approaches. Journal of Cloud Computing. 11 (1), pp. 1-21. https://doi.org/10.1186/s13677-022-00344-zArticle
Competitive learning with spiking nets and spike timing dependent plasticity
Huyck, C. and Orume, E. 2022. Competitive learning with spiking nets and spike timing dependent plasticity. Bramer, M. and Stahl, F. (ed.) AI-2022: The Forty-second SGAI International Conference. Cambridge, England, UK 13 - 15 Dec 2022 Springer. pp. 153-166 https://doi.org/10.1007/978-3-031-21441-7_11Conference paper
Factors affecting the deployment of learning analytics in developing countries: case of Egypt
Mahmoud, M., Dafoulas, G., Abd ElAziz, R. and Saleeb, N. 2022. Factors affecting the deployment of learning analytics in developing countries: case of Egypt. International Journal of Emerging Technologies in Learning (iJET). 17 (03), pp. 279-298. https://doi.org/10.3991/ijet.v17i03.24405Article
Achieving sustainability: from innovation to valorisation and continuous improvement
Georgiadou, E., Siakas, K., Ross, M. and Rahanu, H. 2022. Achieving sustainability: from innovation to valorisation and continuous improvement. Yilmaz, M., Clarke, P., Messanarz, R. and Woran, B. (ed.) EuroSPI 2022: European Systems, Software and Services Process Improvement and Innovation Conference. Salzburg, Austria 31 Aug - 02 Sep 2022 Springer Nature. pp. 763-778 https://doi.org/10.1007/978-3-031-15559-8_53Conference paper
Requirements volatility in multicultural situational contexts
Siakas, E., Rahanu, H., Georgiadou, E. and Siakas, K. 2022. Requirements volatility in multicultural situational contexts. Yilmaz, M., Clarke, P., Messanarz, R. and Woran, B. (ed.) EuroSPI 2022: European Systems, Software and Services Process Improvement and Innovation Conference. Salzburg, Austria 31 Aug - 02 Sep 2022 Springer Nature. pp. 633-655 https://doi.org/10.1007/978-3-031-15559-8_45Conference paper
The proposal of adding a society value to the software process improvement manifesto
Rahanu, H., Loveday, J., Siakas, E., Georgiadou, E., Siakas, K. and Ross, M. 2022. The proposal of adding a society value to the software process improvement manifesto. Yilmaz, M., Clarke, P., Messanarz, R. and Wöran, B. (ed.) EuroSPI 2022: European Systems, Software and Services Process Improvement and Innovation Conference. Salzburg, Austria 31 Aug - 02 Sep 2022 Springer Nature. pp. 673-687 https://doi.org/10.1007/978-3-031-15559-8_47Conference paper
An examination of counterexamples in proofs and refutations
Bagce, S. and Baskent, C. 2009. An examination of counterexamples in proofs and refutations. Philosophia Scientiae. https://doi.org/10.4000/philosophiascientiae.228Article
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