• Conceptual representations for computational concept creation 

  Xiao, P; Toivonen, H; Gross, O; Cardoso, A; Correia, J; Machado, P; Martins, P; Oliveira, HG; Sharma, R; Pinto, AM (Association for Computing Machinery, 2019-02-01)

  Computational creativity seeks to understand computational mechanisms that can be characterized as creative. The creation of new concepts is a central challenge for any creative system. In this article, we outline different ...

• Adaptive Service Deployment using In-Network Mediation 

  Elhabbash, A; Blair, GS; Tyson, G; Elkhatib, Y (IEEE, 2018)

  Serendipitous peer discovery is important for emerging Internet applications, particularly in dynamic environments (e.g., the IoT, ubiquitous and fog domains) where a large number of resources operate different services ...

• Detection and Resolution of Rumours in Social Media: A Survey 

  Zubiaga, A; Aker, A; Bontcheva, K; Liakata, M; Procter, R (ACM, Inc, 2018-06)

  Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i.e., items of information that are unverified at the time ...

• A longitudinal assessment of the persistence of twitter datasets 

  Zubiaga, A (Wiley, 2018-08)

  Social media datasets are not always completely replicable. Having to adhere to requirements of platforms such as Twitter, researchers can only release a list of unique identifiers, which others can then use to recollect ...

• A longitudinal analysis of the public perception of the opportunities and challenges of the Internet of Things 

  Zubiaga, A; Procter, R; Maple, C (PLoS, 2018-12-20)

  The Internet of Things (or IoT), which enables the networked interconnection of everyday objects, is becoming increasingly popular in many aspects of our lives ranging from entertainment to health care. While the IoT brings ...

• Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads 

  Zubiaga, A; Liakata, M; Procter, R; Hoi, GWS; Tolmie, P (PLoS, 2016-03-04)

  As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may ...

• A Concise Taxonomy for Describing Data as an Art Material 

  Freeman, J; Wiggins, G; Starks, G; Sandler, M (Leonardo, 2018-02)

  How can we describe data when used as an art material? As the number of artists using data in their work increases, so too must our ability to describe the material in a way that is understood by both specialist and general ...

• A PARALLEL FUSION APPROACH TO PIANO MUSIC TRANSCRIPTION BASED ON CONVOLUTIONAL NEURAL NETWORK 

  Cong, F; Liu, S; Guo, L; Wiggins, GA; IEEE (IEEE, 2018)

  In this paper, a supervised approach based on Convolutional Neural Networks (CNN) for polyphonic piano transcription is presented. The system consists of pitch detection model, onset/offset detection model, and note search ...

• To play with feeling? the opportunity of aesthetics in computational musical creativity 

  Wiggins, GA (CEUR Workshop Proceedings, 2018-01-01)

  The research field of Computational Creativity (CC) has been defined as “The philosophy, science and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviours that...

• Modelling Competing Legal Arguments using Bayesian Model Comparison and Averaging 

  FENTON, NE; NEIL, M; Gill, R; Lagnado, D (Springer, 2019)

  Bayesian models of legal arguments generally aim to produce a single integrated model, combining each of the legal arguments under consideration. This combined approach implicitly assumes that variables and their relationships ...

• Resolving the so-called “probabilistic paradoxes in legal reasoning” with Bayesian Networks 

  FENTON, NE; DE ZOETE, J; NOGUCHI, T; Lagnado, D

  Examples of reasoning problems such as the twins problem and poison paradox have been proposed by legal scholars to demonstrate the limitations of probability theory in legal reasoning. Specifically, such problems are ...

• Gravito-Inertial Ambiguity Resolved through Head Stabilisation 

  FARKHATDINOV, I; Hannah, M; Alain, B; Vincent, H (Royal Society, The, 2019)

  It has been frequently observed that humans and animals spontaneously stabilise their heads with respect to the gravitational vertical during body movements even in the absence of vision. The interpretations of this ...

• Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites 

  Gharibi, R; Malekzadeh, M (2017-05-31)

• Experimental demonstration of Luneburg lens based on hyperuniform disordered media 

  Zhang, H; Chu, H; Giddens, H; Wu, W; Hao, Y (AIP Publishing LLC, 2019-02-04)

  Hyperuniformity provides a means of categorizing many nanostructures including nano-composite materials, and the design methodology based on hyperuniform randomness often leads to devices with extraordinary characteristics. ...

• Radio Access Network Selection in a Heterogeneous Communication Environment 

  BODANESE, E; Luo, W; Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE

  In recent years, a variety of wireless network technologies have been developed and deployed, including UMTS, WiFi, and WiMAX. The overlapping of different networks creates heterogeneous wireless environments, which can ...

• Who Watches the Watchmen: Exploring Complaints on the Web 

  Ibosiola, D; Castro, I; Stringhini, G; Uhlig, S; Tyson, G

  Under increasing scrutiny, many web companies now offer bespoke mechanisms allowing any third party to file complaints (e.g., requesting the de-listing of a URL from a search engine). While this self-regulation might be a ...

• Exploring Fuzzy Logic and Random Forest for Car Drivers’ Fuel Consumption Estimation in IoT-Enabled Serious Games 

  POSLAD, S; 14th IEEE International Symposium on Autonomous Decentralized Systems (ISADS, 2019) (IEEE, 2019)

  Internet of Things (IoT) technologies have a promising potential for instructional serious games related to field operations. We explore IoT’s potential for serious games in the automotive application domain to improve ...

• SubSpectralNet - Using sub-spectrogram based convolutional neural networks for acoustic scene classification 

  Phaye, SSR; BENETOS, E; Wang, Y; IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE, 2019-05-12)

  Acoustic Scene Classification (ASC) is one of the core research problems in the field of Computational Sound Scene Analysis. In this work, we present SubSpectralNet, a novel model which captures discriminative features by ...

• Audio-based identification of beehive states 

  Nolasco, I; Terenzi, A; Cecchi, S; Orcioni, S; BEAR, H; BENETOS, E; IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE, 2019-05-12)

  The absence of the queen in a beehive is a very strong indicator of the need for beekeeper intervention. Manually searching for the queen is an arduous recurrent task for beekeepers that disrupts the normal life cycle of ...

• A Polarization-Reconfigurable Glass Dielectric Resonator Antenna Using Liquid Metal 

  KELLY, J; Chen, Z; Wong, H (IEEE, 2019)

  In this communication, we introduce a glass dielectric resonator antenna (DRA) incorporating a liquid-metal polarizer capable of polarization reconfiguration. The polarizer is formed by a type of liquid-metal alloy composed ...

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