Outputs (114)

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion (2021)
Journal Article
Sanchez, S., Rengasamy, D., Hyde, C. J., Figueredo, G. P., & Rothwell, B. (2021). Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. Journal of Intelligent Manufacturing, 32(8), 2353–2373. https://doi.org/10.1007/s10845-021-01785-0

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, par... Read More about Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.

Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic (2021)
Conference Proceeding
Benford, S., Mansfield, P., & Spence, J. (2021). Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic. In CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411764.3445125

The global pandemic has driven musicians online. We report an ethnographic account of how two traditional folk clubs with little previous interest in digital platforms transitioned to online experiences. They followed very different approaches: one a... Read More about Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic.

Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review (2021)
Journal Article
He, Y., Aliyu, A., Evans, M., & Luo, C. (2021). Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review. Journal of Medical Internet Research, 23(4), Article e21747. https://doi.org/10.2196/21747

Background: COVID-19 has challenged the resilience of the health care information system, which has affected our ability to achieve the global goal of health and well-being. The pandemic has resulted in a number of recent cyberattacks on hospitals, p... Read More about Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review.

Creating a Digital Mirror of Creative Practice (2021)
Conference Proceeding
Johnson, C. (2021). Creating a Digital Mirror of Creative Practice. In Computational Intelligence in Music, Sound, Art and Design – 10th International Conference, EvoMUSART 2021 (427-442). https://doi.org/10.1007/978-3-030-72914-1_28

This paper describes an ongoing project to create a “digital mirror” to my practice as a composer of contemporary classical music; that is, a system that takes descriptions (in code) of aspects of that practice, and reflects them back as computer-gen... Read More about Creating a Digital Mirror of Creative Practice.

Adaptive Covariance Pattern Search (2021)
Book Chapter
Neri, F. (2021). Adaptive Covariance Pattern Search. In P. A. Castillo, & J. L. Jiménez Laredo (Eds.), Applications of Evolutionary Computation – 24th International Conference, EvoApplications 2021 (178-193). Springer. https://doi.org/10.1007/978-3-030-72699-7_12

Pattern search is a family of single solution deterministic optimisation algorithms for numerical optimisation. Pattern search algorithms generate a new candidate solution by means of an archive of potential moves, named pattern. This pattern is gen... Read More about Adaptive Covariance Pattern Search.

Generalised Pattern Search Based on Covariance Matrix Diagonalisation (2021)
Journal Article
Neri, F., & Rostami, S. (2021). Generalised Pattern Search Based on Covariance Matrix Diagonalisation. SN Computer Science, 2, Article 171. https://doi.org/10.1007/s42979-021-00513-y

Pattern Search is a family of gradient-free direct search methods for numerical optimisation problems. The characterising feature of pattern search methods is the use of multiple directions spanning the problem domain to sample new candidate solution... Read More about Generalised Pattern Search Based on Covariance Matrix Diagonalisation.

Constructing a universe for the setoid model (2021)
Conference Proceeding
Altenkirch, T., Boulier, S., Kaposi, A., Sattler, C., & Sestini, F. (2021). Constructing a universe for the setoid model. In S. Kiefer, & C. Tasson (Eds.), Foundations of Software Science and Computation Structures : 24th International Conference, FOSSACS 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021, Proceedings (1-21). https://doi.org/10.1007/978-3-030-71995-1_1

The setoid model is a model of intensional type theory that validates certain extensionality principles, like function extensionality and propositional extensionality, the latter being a limited form of univalence that equates logically equivalent pr... Read More about Constructing a universe for the setoid model.

Text Data Augmentations: Permutation, Antonyms and Negation (2021)
Journal Article
Haralabopoulos, G., Torres, M. T., Anagnostopoulos, I., & McAuley, D. (2021). Text Data Augmentations: Permutation, Antonyms and Negation. Expert Systems with Applications, 177, Article 114769. https://doi.org/10.1016/j.eswa.2021.114769

Text has traditionally been used to train automated classifiers for a multitude of purposes, such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM classifier require a large number of training examples to avoid biases... Read More about Text Data Augmentations: Permutation, Antonyms and Negation.

Teaching Mathematics to Computer Scientists: Reflections and a Case Study (2021)
Journal Article
Neri, F. (2021). Teaching Mathematics to Computer Scientists: Reflections and a Case Study. SN Computer Science, 2(2), Article 75. https://doi.org/10.1007/s42979-021-00461-7

Mathematics, despite being the foundation of computer science, is nowadays often considered a totally separate subject. The fact that many jobs in computer science do not explicitly require any specific mathematical knowledge posed questions about th... Read More about Teaching Mathematics to Computer Scientists: Reflections and a Case Study.

Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities (2021)
Journal Article
Li, W., Meng, W., & Furnell, S. (2021). Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities. Pattern Recognition Letters, 144, 35-41. https://doi.org/10.1016/j.patrec.2021.01.019

© 2021 Elsevier B.V. The Internet of Things (IoT) allows various embedded devices and smart sensors to be connected with each other, which provides a basis for building smart cities. The IoT-enabled smart city can greatly benefit people's daily lives... Read More about Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities.