Computer Engineering Commons^™

List Of 121 Papers Citing One Or More Skin Lesion Image Datasets, Neda Alipour

Other resources

No abstract provided.

The First Annual Teaching And Research Showcase Poster Tu Dublin – The Proof Is In The Pudding – Using Perceived Stress To Measure Short-Term Impact In Initiatives To Enhance Gender Balance In Computing Education, Alina Berry, Sarah Jane Delany

Other resources

The problem of gender imbalance in computing higher education has forced academics and professionals to implement a wide range of initiatives. Many initiatives use recruitment or retention numbers as their most obvious evidence of impact. This type of evidence of impact is, however, more resource heavy to obtain, as well as often requires a longitudinal approach. There are many shorter term initiatives that use other ways to measure their success.

First, this poster presents with a review of existing evaluation measures in interventions to recruit and retain women in computing education across the board. Three main groups of evaluation come …

Demo: Codec-Aware Video Delivery Over Sdns, Obinna Izima, Ruairí De Fréin, Ali Malik

Other resources

To guarantee quality of delivery for video streaming over software defined networks, efficient predictors and adaptive routing frameworks are required. We demonstrate an agent that predicts video quality of delivery metrics in a scalable way using a bespoke codec-aware learning model. We also demonstrate the integration of this agent with an adaptive framework for centrally controlled software-defined networks that re-configures network operational paths in response to the learning agent, ensuring that good quality of delivery of video is maintained during periods of congestion. The demo scenario highlights the feasibility, scalability and accuracy of the framework.

Mental Workload Assessment: Knowledge-Bases Based Upon The Features Of The Original Nasa Task Load Index, Lucas Rizzo, Luca Longo

Other resources

No abstract provided.

Examining A Hate Speech Corpus For Hate Speech Detection And Popularity Prediction, Filip Klubicka, Raquel Fernandez

Other resources

As research on hate speech becomes more and more relevant every day, most of it is still focused on hate speech detection. By attempting to replicate a hate speech detection experiment performed on an existing Twitter corpus annotated for hate speech, we highlight some issues that arise from doing research in the field of hate speech, which is essentially still in its infancy. We take a critical look at the training corpus in order to understand its biases, while also using it to venture beyond hate speech detection and investigate whether it can be used to shed light on other …

Adapt At Semeval-2018 Task 9: Skip-Gram Word Embeddings For Unsupervised Hypernym Discovery In Specialised Corpora, Alfredo Maldonado, Filip Klubicka

Other resources

This paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora. Candidate hypernyms for an input word are predicted based on cosine similar- ity scores. Two sets of word embedding mod- els were trained separately on two specialised corpora: a medical corpus and a music indus- try corpus. Our system scored highest in the medical domain among the competing unsu- pervised systems but performed poorly on the music industry domain. Our approach does not depend on any external data other than raw specialised corpora.

Predicting Speech Intelligibility, Andrew Hines [Thesis]

Other resources

Hearing impairment, and specifically sensorineural hearing loss, is an increasingly prevalent condition, especially amongst the ageing population. It occurs primarily as a result of damage to hair cells that act as sound receptors in the inner ear and causes a variety of hearing perception problems, most notably a reduction in speech intelligibility. Accurate diagnosis of hearing impairments is a time consuming process and is complicated by the reliance on indirect measurements based on patient feedback due to the inaccessible nature of the inner ear. The challenges of designing hearing aids to counteract sensorineural hearing losses are further compounded by the …

Software Quality Strategic Driver Model (Sq-Sdm 11), Ronan Fitzpatrick

Other resources

No abstract provided.

Software Quality Strategic Driver Model (Sq-Sdm), Ronan Fitzpatrick

Other resources

No abstract provided.

The Software Quality Star (Sq-Star), Ronan Fitzpatrick

Other resources

Usability is a significant factor in the creation of quality software products which is an important focus of the software engineering syllabus. Usability is also a significant factor in the study of Human-Computer Interaction (HCI). Despite the connection, software quality and the rigours of the software engineering discipline are not used in the teaching of HCI and visa versa. Consequently, students undertaking software engineering courses are not fully exposed to usability issues and HCI students often miss out on the disciplines of software engineering. This paper presents a quality focused conceptual model - the Software Quality Star - which can …

An Investigation Into The Causes And Effects Of Legacy Status In A System With A View To Assessing Both Systems Currently In Use And Those Being Considered For Introduction, Patricia O'Byrne

Other resources

This dissertation analyses the area of legacy systems and determines the effects that are exhibited in legacy systems, presenting them in a legacy effect determination framework, so that management can ascertain whether the system they have is a legacy system. An analysis of legacy causal criteria is carried out, resulting in a table of legacy causes. A new definition of legacy systems is put forward, by defining legacy status as a status held by a legacy system. “A system exhibits legacy status if it is deficient in terms of its suitability to the business, its platform suitability or application software …