An Analysis of Case-Base Editing in a Spam Filtering System. - Sarah Jane Delany; Padraig Cunningham (ECCBR, 2004)

OpenMVC: a non-proprietry component-based framework for web applications. - Ronan Barrett; Sarah Jane Delany (WWW (Alternate Track Papers & Posters), 2004)

Generating Estimates of Classification Confidence for a Case-Based Spam Filter. - Sarah Jane Delany; Padraig Cunningham; Dónal Doyle; Anton Zamolotskikh (ICCBR, 2005)

An Assessment of Case-Based Reasoning for Spam Filtering. - Sarah Jane Delany; Padraig Cunningham; Lorcan Coyle (Artif. Intell. Rev., 2005)

A case-based technique for tracking concept drift in spam filtering. - Sarah Jane Delany; Padraig Cunningham; Alexey Tsymbal; Lorcan Coyle (Knowl. Based Syst., 2005)

ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift. - Sarah Jane Delany; Padraig Cunningham; Barry Smyth (ECAI, 2006)

A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. - Sarah Jane Delany; Padraig Cunningham; Alexey Tsymbal (FLAIRS, 2006)

A methodology for comparing classifiers that allow the control of bias. - Anton Zamolotskikh; Sarah Jane Delany; Padraig Cunningham (SAC, 2006)

Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches. - Sarah Jane Delany; Derek G. Bridge (Artif. Intell. Rev., 2006)

Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering. - Sarah Jane Delany; Derek G. Bridge (ICCBR, 2007)

About the authors. - Michael G. Madden; Sarah Jane Delany (Artif. Intell. Rev., 2007)

Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). - Michael G. Madden; Sarah Jane Delany (Artif. Intell. Rev., 2007)

Back to the Future: Knowledge Light Case Base Cookery. - Qian Zhang; Rong Hu; Brian Mac Namee; Sarah Jane Delany (ECCBR Workshops, 2008)

Supervised Learning. - Pádraig Cunningham; Matthieu Cord; Sarah Jane Delany (Machine Learning Techniques for Multimedia, 2008)

Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem. - Kenneth Kennedy; Brian Mac Namee; Sarah Jane Delany (AICS, 2009)

The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing. - Sarah Jane Delany (ICCBR, 2009)

Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning. - Rong Hu; Brian Mac Namee; Sarah Jane Delany (FLAIRS, 2010)

Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost. - Patrick Lindstrom; Sarah Jane Delany; Brian Mac Namee (FLAIRS, 2010)

EGAL: Exploration Guided Active Learning for TCBR. - Rong Hu; Sarah Jane Delany; Brian Mac Namee (ICCBR, 2010)

CBTV: Visualising Case Bases for Similarity Measure Design and Selection. - Brian Mac Namee; Sarah Jane Delany (ICCBR, 2010)

Noise reduction for instance-based learning with a local maximal margin approach. - Nicola Segata; Enrico Blanzieri; Sarah Jane Delany; Padraig Cunningham (J. Intell. Inf. Syst., 2010)

Domain Independent Sentiment Classification with Many Lexicons. - Bruno Ohana; Brendan Tierney; Sarah Jane Delany (AINA Workshops, 2011)

Benchmarking classification models for emotion recognition in natural speech: A multi-corporal study. - Alexey Tarasov; Sarah Jane Delany (FG, 2011)

A Case-Based Approach to Cross Domain Sentiment Classification. - Bruno Ohana; Sarah Jane Delany; Brendan Tierney (ICCBR, 2012)

Dynamic Estimation of Rater Reliability in Subjective Tasks Using Multi-armed Bandits. - Alexey Tarasov; Sarah Jane Delany; Brian Mac Namee (SocialCom/PASSAT, 2012)

SMS spam filtering: Methods and data. - Sarah Jane Delany; Mark Buckley; Derek Greene (Expert Syst. Appl., 2012)

Profiling instances in noise reduction. - Sarah Jane Delany; Nicola Segata; Brian Mac Namee (Knowl. Based Syst., 2012)

Report on the 21st International Conference on Case-Based Reasoning. - Santiago Ontañón; Sarah Jane Delany; William E. Cheetham (AI Mag., 2013)

A window of opportunity: Assessing behavioural scoring. - Kenneth Kennedy; Brian Mac Namee; Sarah Jane Delany; M. O'Sullivan; N. Watson (Expert Syst. Appl., 2013)

Drift detection using uncertainty distribution divergence. - Patrick Lindstrom; Brian Mac Namee; Sarah Jane Delany (Evol. Syst., 2013)

Using semi-supervised classifiers for credit scoring. - Kenneth Kennedy; Brian Mac Namee; Sarah Jane Delany (J. Oper. Res. Soc., 2013)

NudgeAlong: A Case Based Approach to Changing User Behaviour. - Eoghan O'Shea; Sarah Jane Delany; Rob Lane; Brian Mac Namee (ICCBR, 2014)

Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work. - Alexey Tarasov; Sarah Jane Delany; Brian Mac Namee (Expert Syst. Appl., 2014)

Activist: A New Framework for Dataset Labelling. - Jack O'Neill; Sarah Jane Delany; Brian Mac Namee (AICS, 2016)

Deep Level Lexical Features for Cross-lingual Authorship Attribution. - Marisa Llorens-Salvador; Sarah Jane Delany (MultiLingMine@ECIR, 2016)

Sentiment Classification Using Negation as a Proxy for Negative Sentiment. - Bruno Ohana; Brendan Tierney; Sarah Jane Delany (FLAIRS, 2016)

Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile. - Lucas Rizzo; Pierpaolo Dondio; Sarah Jane Delany; Luca Longo (AIAI, 2016)

Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media. - Hao Chen; Susan McKeever; Sarah Jane Delany (UKCI, 2016)

Model-Free and Model-Based Active Learning for Regression. - Jack O'Neill; Sarah Jane Delany; Brian Mac Namee (UKCI, 2016)

Active learning for text classification with reusability. - Rong Hu; Brian Mac Namee; Sarah Jane Delany (Expert Syst. Appl., 2016)

Abusive Text Detection Using Neural Networks. - Hao Chen; Susan McKeever; Sarah Jane Delany (AICS, 2017)

Multiparty computations in varying contexts. - Paul Laird; Sarah Jane Delany; Pierpaolo Dondio (DSC, 2017)

Rating by Ranking: An Improved Scale for Judgement-Based Labels. - Jack O'Neill; Sarah Jane Delany; Brian Mac Namee (IntRS@RecSys, 2017)

Presenting a labelled dataset for real-time detection of abusive user posts. - Hao Chen; Susan McKeever; Sarah Jane Delany (WI, 2017)

Validation of Tagging Suggestion Models for a Hotel Ticketing Corpus. - Bojan Bozic; André Ríos; Sarah Jane Delany (iiWAS, 2018)

Rank Scoring via Active Learning (RaScAL). - Jack O'Neill; Sarah Jane Delany; Brian Mac Namee (HumL@ISWC, 2018)

From Rankings to Ratings: Rank Scoring via Active Learning. - Jack O'Neill; Sarah Jane Delany; Brian Mac Namee (ISWC (Best Workshop Papers), 2018)

A Comparison of Classical Versus Deep Learning Techniques for Abusive Content Detection on Social Media Sites. - Hao Chen; Susan McKeever; Sarah Jane Delany (SocInfo (1), 2018)

Sound Transformation: Applying Image Neural Style Transfer Networks to Audio Spectograms. - Xuehao Liu; Sarah Jane Delany; Susan McKeever (CAIP (2), 2019)

The Use of Deep Learning Distributed Representations in the Identification of Abusive Text. - Hao Chen; Susan McKeever; Sarah Jane Delany (ICWSM, 2019)

Active Learning for Auditory Hierarchy. - William Coleman; Charlie Cullen; Ming Yan; Sarah Jane Delany (CD-MAKE, 2020)

Exploration of Approaches to Arabic Named Entity Recognition. - Husamelddin A. M. Balla; Sarah Jane Delany (CLEOPATRA@ESWC, 2020)

Underestimation Bias and Underfitting in Machine Learning. - Pádraig Cunningham; Sarah Jane Delany (TAILOR, 2020)

k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples). - Padraig Cunningham; Sarah Jane Delany (CoRR, 2020)

Algorithmic Bias and Regularisation in Machine Learning. - Padraig Cunningham; Sarah Jane Delany (CoRR, 2020)

Comparing tagging suggestion models on discrete corpora. - Bojan Bozic; Andre Rios; Sarah Jane Delany (Int. J. Web Inf. Syst., 2020)

Interactive Learning Approach for Arabic Target-Based Sentiment Analysis. - Husamelddin A. M. Balla; Marisa Llorens-Salvador; Sarah Jane Delany (RANLP, 2021)

Fairer Evaluation of Zero Shot Action Recognition in Videos. - Kaiqiang Huang; Sarah Jane Delany; Susan McKeever (VISIGRAPP (5: VISAPP), 2021)

Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases. - Xuehao Liu; Sarah Jane Delany; Susan McKeever (CoRR, 2021)

Feature Selection Tutorial with Python Examples. - Padraig Cunningham; Bahavathy Kathirgamanathan; Sarah Jane Delany (CoRR, 2021)

Author Gender Identification Considering Gender Bias. - Manuela Nayantara Jeyaraj; Sarah Jane Delany (AICS, 2022)

Identity Term Sampling for Measuring Gender Bias in Training Data. - Nasim Sobhani; Sarah Jane Delany (AICS, 2022)

Arabic Question Classification using Deep Learning. - Husamelddin A. M. Balla; Marisa Llorens-Salvador; Sarah Jane Delany (CCRIS, 2022)

Arabic Medical Community Question Answering Using ON-LSTM and CNN. - Husamelddin A. M. Balla; Marisa Llorens-Salvador; Sarah Jane Delany (ICMLC, 2022)

Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task. - Nasim Sobhani; Sarah Jane Delany (ISMIS, 2022)

Addressing the "Leaky Pipeline": A Review and Categorisation of Actions to Recruit and Retain Women in Computing Education. - Alina Berry; Susan McKeever; Brenda Murphy; Sarah Jane Delany (CoRR, 2022)

k-Nearest Neighbour Classifiers - A Tutorial. - Pádraig Cunningham; Sarah Jane Delany (ACM Comput. Surv., 2022)

Using ChatGPT to Generate Gendered Language. - Shweta Soundararajan; Manuela Nayantara Jeyaraj; Sarah Jane Delany (AICS, 2023)

Measuring Gender Bias in Natural Language Processing: Incorporating Gender-Neutral Linguistic Forms for Non-Binary Gender Identities in Abusive Speech Detection. - Nasim Sobhani; Kinshuk Sengupta; Sarah Jane Delany (RANLP, 2023)

The Proof of Gold is Fire: Measuring Stress to Show Impact of Gender Based Initiatives in Computing Education. - Alina Berry; Sarah Jane Delany (SIGITE, 2023)

TechMate: A Research-Driven Toolkit to Enhance Gender Balance in Computing Education. - Alina Berry; Sarah Jane Delany (UKICER, 2023)

Applying Positional Encoding to Enhance Vision-Language Transformers. - Xuehao Liu; Sarah Jane Delany; Susan McKeever (VISIGRAPP (5: VISAPP), 2023)

A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator. - Trevor Doherty; Emma Dempster; Eilis J. Hannon; Jonathan Mill; Richie Poulton; David Corcoran; Karen Sugden; Ben Williams; Avshalom Caspi; Terrie E. Moffitt; Sarah Jane Delany; Therese M. Murphy (BMC Bioinform., 2023)

Applying Prompts and Parameter-Efficient Methods to Enhance Single-Stream Vision-Language Transformers. - Xuehao Liu; Sarah Jane Delany; Susan McKeever (VISIGRAPP (2): VISAPP, 2024)

International Mobility for PhD Students: Key Learnings. - Cecilia O. Alm; Reynold Bailey; Sarah Jane Delany; Georgiana Ifrim; Brian Mac Namee; Esa M. Rantanen; Ferat Sahin (SIGCSE (2), 2025)

Classifying the content of online notepad services using active learning. - Mhd Wesam Al-Nabki; Eduardo Fidalgo; Enrique Alegre; Sarah Jane Delany; Francisco Jáñez-Martino (J. Intell. Inf. Syst., 2025)

Why do women pursue a PhD in Computer Science? - Erika Ábrahám; Miguel Goulão; Milena Vujosevic-Janicic; Sarah Jane Delany; Amal Mersni; Oleksandra Yeremenko; Ozge Buyukdagli; Karima Boudaoud; Caroline Oehlhorn; Ute Schmid; Christina Büsing; Helen Bolke-Hermanns; et al. (CoRR, 2025)

Why do women pursue a Ph.D. in Computer Science? - Erika Ábrahám; Miguel Goulão; Milena Vujosevic-Janicic; Sarah Jane Delany; Amal Mersni; Oleksandra Yeremenko; Ozge Buyukdagli; Karima Boudaoud; Caroline Oehlhorn; Ute Schmid; Christina Büsing; Helen Bolke-Hermanns; et al. (J. Syst. Softw., 2026)