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Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA (2020)
Conference Proceeding
Wang, X., Gao, Y., Atkin, J., & Bozhko, S. (2020). Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA. . https://doi.org/10.23919/icems50442.2020.9290968

This paper presents a Neural Network (NN)-based weighting factor (WF) selection method for the multi-objective cost function in Model Predictive Control (MPC). MPC is adopted for scheduling the loads and charging/discharging the battery intelligently... Read More about Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA.

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification (2020)
Journal Article
Le, H. L., Landa-Silva, D., Galar, M., Garcia, S., & Triguero, I. (2021). EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Applied Soft Computing, 101, https://doi.org/10.1016/j.asoc.2020.107033

© 2020 Learning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples. Undersampling approaches reduce the size of... Read More about EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.

Measuring Mental Workload Variations in Office Work Tasks using fNIRS (2020)
Journal Article
Midha, S., Maior, H. A., Wilson, M. L., & Sharples, S. (2021). Measuring Mental Workload Variations in Office Work Tasks using fNIRS. International Journal of Human-Computer Studies, 147, Article 102580. https://doi.org/10.1016/j.ijhcs.2020.102580

The motivation behind using physiological measures to estimate cognitive activity is typically to build technology that can help people to understand themselves and their work, or indeed for systems to do so and adapt. While functional Near Infrared... Read More about Measuring Mental Workload Variations in Office Work Tasks using fNIRS.

Framing governance for a contested emerging technology:insights from AI policy (2020)
Journal Article
Ulnicane, I., Knight, W., Leach, T., Stahl, B. C., & Wanjiku, W. (2021). Framing governance for a contested emerging technology:insights from AI policy. Policy and Society, 40(2), 158-177. https://doi.org/10.1080/14494035.2020.1855800

This paper examines how the governance in AI policy documents have been framed as way to resolve public controversies surrounding AI. It draws on the studies of governance of emerging technologies, the concept of policy framing, and analysis of 49 re... Read More about Framing governance for a contested emerging technology:insights from AI policy.

Artificial intelligence for human flourishing – Beyond principles for machine learning (2020)
Journal Article
Stahl, B. C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., …Wright, D. (2021). Artificial intelligence for human flourishing – Beyond principles for machine learning. Journal of Business Research, 124, 374-388. https://doi.org/10.1016/j.jbusres.2020.11.030

The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an accoun... Read More about Artificial intelligence for human flourishing – Beyond principles for machine learning.

Test Record (2020)
Journal Article
Veasey, B., CREATORS_FN: Price, C. V., CREATORS_FN: Green, C. J., CREATORS_FN: Sperring, C. D., CREATORS_FN: Houghton, C. L., Bloggs, & Person, N. U. (2020). Test Record. Nature Communications, https://doi.org/10.1000/xyz123

ABSTRACT: This is a test record for the purposes of analysis of collected meta against particular input fieldname titles and how it is exposed through JSON export from eprints (Everything Version) ------ This is an adjusted abstract with two ne... Read More about Test Record.

Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance (2020)
Journal Article
Santiago Júnior, V. A. D., Özcan, E., & Carvalho, V. R. D. (2020). Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance. Applied Soft Computing, 97(Part A), Article 106760. https://doi.org/10.1016/j.asoc.2020.106760

In this paper, we introduce a multi-objective selection hyper-heuristic approach combining Reinforcement Learning, (meta)heuristic selection, and group decision-making as acceptance methods, referred to as Hyper-Heuristic based on Reinforcement Learn... Read More about Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance.

A Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object Transfer (2020)
Journal Article
Al-saadi, Z., Sirintuna, D., Kucukyilmaz, A., & Basdogan, C. (2021). A Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object Transfer. IEEE Transactions on Haptics, 14(2), 384-395. https://doi.org/10.1109/toh.2020.3034244

Haptics provides a natural and intuitive channel of communication during the interaction of two humans in complex physical tasks, such as joint object transportation. However, despite the utmost importance of touch in physical interactions, the use o... Read More about A Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object Transfer.

Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic (2020)
Journal Article
Zaki, F., Gani, A., Tahaei, H., Furnell, S., & Anuar, N. B. (2021). Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic. Computer Networks, 184, Article 107617. https://doi.org/10.1016/j.comnet.2020.107617

© 2020 Modern network traffic classification puts much attention toward producing a granular classification of the traffic, such as at the application service level. However, the classification process is often impaired by the lack of granular networ... Read More about Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic.

From collaborative to institutional reflexivity: Calibrating responsibility in the funding process (2020)
Journal Article
Grimpe, B., Stahl, B. C., Ten Holter, C., Inglesant, P., Eden, G., Patel, M., & Jirotka, M. (2020). From collaborative to institutional reflexivity: Calibrating responsibility in the funding process. Science and Public Policy, 47(5), 720-732. https://doi.org/10.1093/scipol/scaa038

Science–policy organisations are expected to be reflexive of their political influence on research and society. In this long-standing discourse on institutional reflexivity, formal organisations have largely been considered as a whole, and from a str... Read More about From collaborative to institutional reflexivity: Calibrating responsibility in the funding process.

A Fast Inference and Type-Reduction Process for Constrained Interval Type-2 Fuzzy Systems (2020)
Journal Article
D'Alterio, P., Garibaldi, J. M., John, R. I., & Wagner, C. (2021). A Fast Inference and Type-Reduction Process for Constrained Interval Type-2 Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 29(11), 3323-3333. https://doi.org/10.1109/TFUZZ.2020.3018379

Constrained interval type-2 (CIT2) fuzzy sets have been introduced to preserve interpretability when moving from type-1 to interval type-2 (IT2) membership functions. Although they can be used to produce type-2 fuzzy systems with enhanced explainabil... Read More about A Fast Inference and Type-Reduction Process for Constrained Interval Type-2 Fuzzy Systems.

Intelligent control of exoskeletons through a novel learning-from-demonstration method (2020)
Presentation / Conference
Ugur, E., Samur, E., Ugurlu, B., Erol Barkana, D., Kucukyilmaz, A., & Bebek, O. (2020, September). Intelligent control of exoskeletons through a novel learning-from-demonstration method. Poster presented at Cybathlon Symposium 2020, Zurich, Switzerland

We present a novel concept that enables the intelligent and adaptive control of exoskeletons through exploiting our state-of-the-art learning from demonstration (LfD) method, namely Conditional Neural Movement Primitives (CNMPs) [1], on our integrate... Read More about Intelligent control of exoskeletons through a novel learning-from-demonstration method.

A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion (2020)
Journal Article
Zhang, G., Rong, H., Paul, P., He, Y., Neri, F., & Pérez-Jiménez, M. J. (2021). A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion. International Journal of Neural Systems, 31(1), Article 2050055. https://doi.org/10.1142/S0129065720500550

© World Scientific Publishing Company Several variants of spiking neural P systems (SNPS) have been presented in the literature to perform arithmetic operations. However, each of these variants was designed only for one specific arithmetic operation.... Read More about A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion.

On the quest for defining organisational plasticity: a community modelling experiment (2020)
Journal Article
Siebers, P., Herath, D. B., Bardone, E., Farahbakhsh, S., Knudsen, P. G., Madsen, J. K., …Secchi, D. (2021). On the quest for defining organisational plasticity: a community modelling experiment. Evidence-based HRM, 9(2), 126-138. https://doi.org/10.1108/ebhrm-09-2019-0079

Purpose - This viewpoint article is concerned with an attempt to advance Organisational Plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the Social Simulation community to drive the process of idea gen... Read More about On the quest for defining organisational plasticity: a community modelling experiment.

Following the journey of scores through a complex musical work (2020)
Conference Proceeding
Hazzard, A., Greenhalgh, C., & Kallionpää, M. (2020). Following the journey of scores through a complex musical work. In AM '20: Proceedings of the 15th International Audio Mostly Conference (249-252). https://doi.org/10.1145/3411109.3411116

We chart the composition and technical development of a non-linear, interactive work for pianist, Disklavier piano and interactive system called Climb!. Collaborating with a composer and performers we focus on the journey of score representations thr... Read More about Following the journey of scores through a complex musical work.

Emerging technologies as the next pandemic?: Possible consequences of the Covid crisis for the future of responsible research and innovation (2020)
Journal Article
Stahl, B. C. (2021). Emerging technologies as the next pandemic?: Possible consequences of the Covid crisis for the future of responsible research and innovation. Ethics and Information Technology, 23(S1), 135-137. https://doi.org/10.1007/s10676-020-09551-1

Digital technology plays a key role during the Covid-19 pandemic. It is used to hunt for vaccination and treatment; it helps us collect and represent the data to understand the progress of the disease and it contributes to tracking and tracing infect... Read More about Emerging technologies as the next pandemic?: Possible consequences of the Covid crisis for the future of responsible research and innovation.

End-to-End Fovea Localisation in Colour Fundus Images with a Hierarchical Deep Regression Network (2020)
Journal Article
Xie, R., Liu, J., Cao, R., Qiu, C. S., Duan, J., Garibaldi, J., & Qiu, G. (2020). End-to-End Fovea Localisation in Colour Fundus Images with a Hierarchical Deep Regression Network. IEEE Transactions on Medical Imaging, 40(1), 116-128. https://doi.org/10.1109/TMI.2020.3023254

Accurately locating the fovea is a prerequisite for developing computer aided diagnosis (CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region lacking prominent visual features and this makes it difficult to dir... Read More about End-to-End Fovea Localisation in Colour Fundus Images with a Hierarchical Deep Regression Network.

Acoustic topology optimisation using CMA-ES (2020)
Conference Proceeding
Ramamoorthy, V. T., Ozcan, E., Parkes, A., Sreekumar, A., Jaouen, L., & Becot, F. (2020). Acoustic topology optimisation using CMA-ES. In Proceedings of ISMA2020 International Conference on Noise and Vibration Engineering: USD2020 International Conference on Uncertainty in Structural Dynamics

Structural topology optimisation techniques are increasingly being applied to acoustic materials. Most acoustic topology optimisation applications use the solid-isotropic-material-with-penalization (SIMP) approach [1]–[4] which is a derivative-based... Read More about Acoustic topology optimisation using CMA-ES.