School of Electronic Engineering and Computer Science
Collections in this community
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Department of Computer Science Research Reports: 2000 - 2008 [56]
Technical Reports of the Department of Computer Science for the years 2000 - 2008 -
Networks Group [71]
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School of Electronic Engineering and Computer Science Research Reports: 2008 - [33]
Electronic Engineering and Computer Science Research Reports from 2009 onwards
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Recent Submissions
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Influence of Music on Perceived Emotions in Film
(2022-01-01)Film music plays a core role in film production and reception as it not only contributes to the film aesthetics and creativity, but it also affects viewers' experience and enjoyment. Film music composers often aim to serve ... -
DMRN+17: Digital Music Research Network One-day Workshop 2022
(Centre for Digital Music - C4DM, 2022-12-20)DMRN+17: Digital Music Research Network One-day Workshop 2022 Queen Mary University of London - Tuesday 20th December 2022. The Digital Music Research Network (DMRN) aims to promote research in the area of Digital Music, ... -
FCMCPS-COVID: AI propelled fog-cloud inspired scalable medical cyber-physical system, specific to coronavirus disease.
(2023-10)Medical cyber-physical systems (MCPS) firmly integrate a network of medical objects. These systems are highly efficacious and have been progressively used in the Healthcare 4.0 to achieve continuous high-quality services. ... -
Guitar augmentation for Percussive Fingerstyle: Combining self-reflexive practice and user-centred design
(2021-01-01)What is the relationship between a musician-designer's auditory imagery for a musical piece, a design idea for an augmented instrument to support the realisation of that piece, and the aspiration to introduce the resulting ... -
On the Role of Reflection and Digital Tool Design for Creative Practitioners
(2023-04-28)This position paper suggests that Creativity Support Tools (CSTs) could be designed for reflection to foster self-learning in creative user experiences. The authors suggest that a state where people continually apply ... -
ChatGPT: Vision and challenges
(2023-05-15)Artificial intelligence (AI) and machine learning have changed the nature of scientific inquiry in recent years. Of these, the development of virtual assistants has accelerated greatly in the past few years, with ChatGPT ... -
CoRAL: a Context-aware Croatian Abusive Language Dataset
(2022-01-01)In light of unprecedented increases in the popularity of the internet and social media, comment moderation has never been a more relevant task. Semi-automated comment moderation systems greatly aid human moderatorsby either ... -
JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual, multilingual, and cross-lingual approaches
(2022-01-01)The reverse dictionary is a sequence-to-vector task in which a gloss is provided as input, and the model is trained to output a semantically matching word vector. The reverse dictionary is useful in practical applications ... -
Misspelling Semantics in Thai
(2022) -
Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis
Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms. Examples of mesostructures include melody, arpeggios, ... -
Computing ecosystems: neural networks and embedded hardware platforms
Embedded hardware platforms such as single-board computers (e.g., Raspberry Pi, Bela) or microcontrollers (e.g., Teensy, Arduino Uno) offer an entry point for beginners into physical computing. However, deploying neural ... -
Pipeline for recording datasets and running neural networks on the Bela embedded hardware platform
Deploying deep learning models on embedded devices is an arduous task: oftentimes, there exist no platform-specific instructions, and compilation times can be considerably large due to the limited computational resources ... -
Adapting Language-Audio Models as Few-Shot Audio Learners
(2023-08-20)Contrastive language-audio pretraining (CLAP) has become a new paradigm to learn audio concepts with audio-text pairs. CLAP models have shown unprecedented performance as zero-shot classifiers on downstream tasks. To further ... -
Adapting Language-Audio Models as Few-Shot Audio Learners
(2023-08-20)Contrastive language-audio pretraining (CLAP) has become a new paradigm to learn audio concepts with audio-text pairs. CLAP models have shown unprecedented performance as zero-shot classifiers on downstream tasks. To further ... -
PISketch: Finding Persistent and Infrequent Flows
(2023-05-11)