Outputs (130)

ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems (2019)
Journal Article
Pekaslan, D., Wagner, C., & Garibaldi, J. M. (2020). ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems. IEEE Transactions on Fuzzy Systems, 28(10), 2302-2312. https://doi.org/10.1109/tfuzz.2019.2933787

Non-Singleton Fuzzy Logic Systems (NSFLSs) have the potential to capture and handle input noise within the design of input fuzzy sets. In this paper, we propose an online learning method which utilises a sequence of observations to continuously updat... Read More about ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems.

Response To The Governments Consultation Smart Data Putting Consumers In Control Of Their Data And Enabling Innovation (2019)
Other
McAuley, D., & Chen, J. (2019). Response To The Governments Consultation Smart Data Putting Consumers In Control Of Their Data And Enabling Innovation

Horizon is a Research Institute centred at The University of Nottingham and a Research Hub within the UKRI Digital Economy programme. Horizon brings together researchers from a broad range ofdisciplines to investigate the opportunities and challenges... Read More about Response To The Governments Consultation Smart Data Putting Consumers In Control Of Their Data And Enabling Innovation.

Distributed building energy simulation with the HLA (2019)
Presentation / Conference Contribution
Amponsah, K., Zakhary, S., Robinson, D., Nathanail, P., Logan, B., & Siebers, P.-O. (2019, July). Distributed building energy simulation with the HLA. Presented at 2019 Summer Simulation Conference, Berlin, Germany

The primary aim of this work is to demonstrate the feasibility of applying the High Level Architecture (HLA) framework to the distributed execution of physical urban building energy simulations that are too large to be supported within the resource c... Read More about Distributed building energy simulation with the HLA.

VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise (2019)
Presentation / Conference Contribution
Sari, S., & Kucukyilmaz, A. (2019, August). VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise. Presented at 16th International Conference on Mobile Web and Intelligent Information Systems, Istanbul, Turkey

With recent advances in mobile and wearable technologies, virtual reality (VR) found many applications in daily use. Today, a mobile device can be converted into a low-cost immersive VR kit thanks to the availability of do-it-yourself viewers in the... Read More about VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise.

Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking (2019)
Journal Article
Gibbs, J. A., Burgess, A. J., Pound, M. P., Pridmore, T. P., & Murchie, E. H. (2019). Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking. Plant Physiology, 181, 28-42. https://doi.org/10.1104/pp.19.00141

Understanding the relationships between local environmental conditions and plant structure and function is critical for both fundamental science and for improving the performance of crops in field settings. Wind-induced plant motion is important in m... Read More about Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking.

An Unforeseen Equivalence between Uncertainty and Entropy (2019)
Presentation / Conference Contribution
Muller, T. (2019, July). An Unforeseen Equivalence between Uncertainty and Entropy. Presented at 13th IFIP WG 11.11 International Conference on Trust Management, Copenhagen, Denmark

Uncertainty and entropy are related concepts, so we would expect there to be some overlap, but the equality that is shown in this paper is unexpected. In Beta models, interactions between agents are evidence used to construct Beta distributions. In m... Read More about An Unforeseen Equivalence between Uncertainty and Entropy.

Landscape Summary: Bias In Algorithmic Decision-Making: what is bias in algorithmic decision-making, how can we identify it, and how can we mitigate it? (2019)
Report
Rovatsos, M., Mittelstadt, B., & Koene, A. (2019). Landscape Summary: Bias In Algorithmic Decision-Making: what is bias in algorithmic decision-making, how can we identify it, and how can we mitigate it?. Centre for Data Ethics and Innovation

The Reputation Lag Attack (2019)
Presentation / Conference Contribution
Sirur, S., & Muller, T. (2019, July). The Reputation Lag Attack. Presented at 13th IFIP WG 11.11 International Conference on Trust Management, Copenhagen, Denmark

Reputation systems and distributed networks are increasingly common. Examples are electronic marketplaces, IoT and ad-hoc networks. The propagation of information through such networks may suffer delays due to, e.g., network connectivity, slow report... Read More about The Reputation Lag Attack.

Information Theoretical Analysis of Unfair Rating Attacks under Subjectivity (2019)
Journal Article
Wang, D., Muller, T., Zhang, J., & Liu, Y. (2019). Information Theoretical Analysis of Unfair Rating Attacks under Subjectivity. IEEE Transactions on Information Forensics and Security, 15, 816-828. https://doi.org/10.1109/TIFS.2019.2929678

Ratings provided by advisors can help an advisee to make decisions, e.g., which seller to select in e-commerce. Unfair rating attacks – where dishonest ratings are provided to mislead the advisee – impact the accuracy of decision making. Current lite... Read More about Information Theoretical Analysis of Unfair Rating Attacks under Subjectivity.

Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable (2019)
Presentation / Conference Contribution
Du, H., & Alechina, N. (2019, January). Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable. Presented at 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA

Several qualitative spatial logics used in reasoning about geospatial data have a sound and complete axiomatisation over metric spaces. It has been open whether the same ax-iomatisation is also sound and complete for 2D Euclidean spaces. We answer th... Read More about Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable.