• Ariadne: evolving test data using grammatical evolution 

  Anjum, Muhammad Sheraz; Ryan, Conor (Springer, 2019)

  Software testing is a key component in software quality assurance; it typically involves generating test data that exercises all instructions and tested conditions in a program and, due to its complexity, can consume as ...
• Computing camps for girls - a first-time experience at the University of Limerick 

  McInerney, Clare; Lamprecht, Anna-Lena; Margaria, Tiziana (Springer, 2017)

  Increasing the number of females in ICT-related university courses has been a major concern for several years. In 2015, we offered a girls-only computing summer camp for the first time, as a new component in our education ...
• Towards more reliable cross-comparison of feature location techniques 

  Razzaq, Abdul (University of Limerick, 2019)

  Feature location (FL) is the task of finding the source code that implements a specific, user-observable functionality in a software system. Given its key role in many software maintenance tasks, it is an area of much ...
• Learning sequence patterns in knowledge graph triples to predict inconsistencies 

  Elbattah, Mahmoud; Ryan, Conor (SCITEPRESS- Science and Technology Publications Ltd., 2019)

  The current trend towards the Semantic Web and Linked Data has resulted in an unprecedented volume of data being continuously published on the Linked Open Data (LOD) cloud. Massive Knowledge Graphs (KGs) are increasingly ...
• In search of alternative housing solutions - when the collaborative economy meets housing 

  O'Shea, Kim; Avram, Gabriela; O Murchú, Nora (2019)

  Collaborative housing constitutes a premise for groups of individuals to self-manage and self-build their own housing according to their own needs. It creates opportunities for social innovation and embracing other sharing ...
• Translation quality assessment in computer-assisted translation tools 

  Marín, Daniel (University of Limerick, 2017)

  The increasing interest in measuring translation quality according to objective methods and standard metrics has led some translation software companies to start integrating assessment-enabling features into their ...
• Extending the life of NOR flash memory using a genetic algorithm 

  Sullivan, Joe (2013)

  We present methods, observations and insights into the application of Evolu- tionary Algorithms(EA) to the problem of ash memory wear-out. In doing so we examine the union of two distinct cutting edge technologies: ...
• Trustworthy health-related tweets on social media in Saudi Arabia: tweet metadata analysis 

  Albalawi, Yahya; Nikolov, Nikola S.; Buckley, Jim (Journal of Medical Internet Research, 2019)

  Background: Social media platforms play a vital role in the dissemination of health information. However, evidence suggests that a high proportion of Twitter posts (ie, tweets) are not necessarily accurate, and many studies ...
• The use of formal methods to describe a financial crime analytics model 

  Nagle, Daniel (University of Limerick, 2019)

  There are many examples of the utilization of formal methods for creating complete specifications of software applications. Often these are bounded in scope to the concept of a critical system. This work looks to expand ...
• Retaining and managing episodic contributors in free/libre/open source software communities 

  Barcomb, Ann Susan (University of Limerick, 2019)

  Free/libre/open source software (FLOSS) communities are commonly understood according to the Onion model. This thesis presents an alternative approach of understanding participation, the habitualepisodic lens drawn from ...
• Feature selection methods and genomic big data: a systematic review 

  Tadist, Khawla; Najah, Said; Nikolov, Nikola S.; Mrabti, Fatiha; Zahi, Azeddine (SpringerOpen, 2019)

  In the era of accelerating growth of genomic data, feature-selection techniques are believed to become a game changer that can help substantially reduce the complexity of the data, thus making it easier to analyze and ...
• A tutorial on uncertainty modeling for machine reasoning 

  Ristic, Branko; Gilliam, Christopher; Byrne, Marion; Benavoli, Alessio (2019)

  Increasingly we rely on machine intelligence for reasoning and decision making under uncertainty. This tutorial reviews the prevalent methods for model-based autonomous decision making based on observations and prior ...
• Effects of introducing a secure web-based messenger application for communication among non-consultant hospital doctors 

  Corbett, Mel; Chapman, Lucy; O'Shea, John; Canning, Patrick; Sebaouis, Salim; O'Sullivan, Donnchadh; Power, Norah; O'Connor, Margaret (Cureus, 2019)

  Use of web-based messaging applications to communicate clinical information is common between non-consultant hospital doctors (NCHDs). This study sought to assess webbased messenger use in NCHDs following the introduction ...
• Dataset construction for the detection of anti-social behaviour in online communication in arabic 

  Alakrot, Azalden; Murray, Liam; Nikolov, Nikola S. (Elsevier, 2018)

  Warning: this paper contains a range of words which may cause offence. In recent years, many studies target anti-social behaviour such as offensive language and cyberbullying in online communication. Typically, these ...
• Towards accurate detection of offensive language in online communication in Arabic 

  Alakrot, Azalden; Murray, Liam; Nikolov, Nikola S. (Elsevier, 2018)

  We present the results of predictive modelling for the detection of anti-social behaviour in online communication in Arabic, such as comments which contain obscene or offensive words and phrases. We collected and labelled ...
• Creating tangible interactions with cultural heritage: lessons learned from a large scale,long term co-design project 

  Avram, Gabriela; Ciolfi, Luigina; Mayea, Laura (Taylor & Francis, 2019)

  We reflect on the process, outcomes and value generated by applying co-design to a large scale, long-term (4 years) collaboration involving designers, developers and cultural heritage professionals, with the goal of ...
• Symmetric learning data augmentation model for underwater target noise data expansion 

  He, Ming; Wang, Hongbin; Zhou, Lianke; Wang, Pengming; Ju, Andrew (Tech Science Press, 2018)

  An important issue for deep learning models is the acquisition of training of data. Without abundant data from a real production environment for training, deep learning models would not be as widely used as they are today. ...
• A comprehensive comparative study of MOM for adaptive interoperability communications in service oriented architecture 

  Ibrahim, Najhan Muhamad; Hassan, Mohd Fadzil (2019)

  Numerous software platforms have developed to support several application systems with a variety of techniques and solution. The communications between those platforms are required to ensure tasks distributed across ...
• Procedural content generation for games using grammatical evolution an attribute grammars 

  Patten, James Vincent; Ryan, Conor (Nova Science Pub Inc;, 2014)

  The benefits of using some type of automation to reduce the time and cost of software development is generally accepted in most domains, video games1 included. While there are a wide variety of automation techniques ...
• EVO-CBG - an evolutionary system for automatically generating character behaviours for game environments 

  Patten, James Vincent; Ryan, Conor (Springer, 2012)

  In this paper we discuss the need to extend the standard types of character behaviours found in game environments if we are to create new and more compelling gaming experiences. We propose using techniques from Evolutionary ...

View more