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Sarah Jane Delany
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2020 – today
- 2024
- [c53]Xuehao Liu, Sarah Jane Delany, Susan McKeever:
Applying Prompts and Parameter-Efficient Methods to Enhance Single-Stream Vision-Language Transformers. VISIGRAPP (2): VISAPP 2024: 501-508 - 2023
- [j17]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
A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator. BMC Bioinform. 24(1): 178 (2023) - [c52]Shweta Soundararajan
Using ChatGPT to Generate Gendered Language. AICS 2023: 1-8 - [c51]Nasim Sobhani, Kinshuk Sengupta, Sarah Jane Delany:
Measuring Gender Bias in Natural Language Processing: Incorporating Gender-Neutral Linguistic Forms for Non-Binary Gender Identities in Abusive Speech Detection. RANLP 2023: 1121-1131 - [c50]Alina Berry
The Proof of Gold is Fire: Measuring Stress to Show Impact of Gender Based Initiatives in Computing Education. SIGITE 2023: 178-179 - [c49]Alina Berry
TechMate: A Research-Driven Toolkit to Enhance Gender Balance in Computing Education. UKICER 2023: 13:1 - [c48]Xuehao Liu, Sarah Jane Delany, Susan McKeever:
Applying Positional Encoding to Enhance Vision-Language Transformers. VISIGRAPP (5: VISAPP) 2023: 838-845 - 2022
- [j16]Pádraig Cunningham
k-Nearest Neighbour Classifiers - A Tutorial. ACM Comput. Surv. 54(6): 128:1-128:25 (2022) - [c47]Manuela Nayantara Jeyaraj
Author Gender Identification Considering Gender Bias. AICS 2022: 214-225 - [c46]Nasim Sobhani, Sarah Jane Delany:
Identity Term Sampling for Measuring Gender Bias in Training Data. AICS 2022: 226-238 - [c45]Husamelddin A. M. Balla, Marisa Llorens-Salvador, Sarah Jane Delany:
Arabic Question Classification using Deep Learning. CCRIS 2022: 85-92 - [c44]Husamelddin A. M. Balla, Marisa Llorens-Salvador, Sarah Jane Delany:
Arabic Medical Community Question Answering Using ON-LSTM and CNN. ICMLC 2022: 298-307 - [c43]Nasim Sobhani, Sarah Jane Delany:
Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task. ISMIS 2022: 95-105 - [i5]Alina Berry, Susan McKeever, Brenda Murphy
Addressing the "Leaky Pipeline": A Review and Categorisation of Actions to Recruit and Retain Women in Computing Education. CoRR abs/2206.06113 (2022) - 2021
- [c42]Husamelddin A. M. Balla, Marisa Llorens-Salvador, Sarah Jane Delany:
Interactive Learning Approach for Arabic Target-Based Sentiment Analysis. RANLP 2021: 111-120 - [c41]Kaiqiang Huang, Sarah Jane Delany, Susan McKeever
Fairer Evaluation of Zero Shot Action Recognition in Videos. VISIGRAPP (5: VISAPP) 2021: 206-215 - [i4]Xuehao Liu, Sarah Jane Delany, Susan McKeever:
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases. CoRR abs/2102.11132 (2021) - [i3]Padraig Cunningham
Feature Selection Tutorial with Python Examples. CoRR abs/2106.06437 (2021) - 2020
- [j15]Bojan Bozic, Andre Rios, Sarah Jane Delany:
Comparing tagging suggestion models on discrete corpora. Int. J. Web Inf. Syst. 16(2): 201-221 (2020) - [c40]William Coleman
Active Learning for Auditory Hierarchy. CD-MAKE 2020: 365-384 - [c39]Husamelddin A. M. Balla, Sarah Jane Delany:
Exploration of Approaches to Arabic Named Entity Recognition. CLEOPATRA@ESWC 2020: 2-16 - [c38]Pádraig Cunningham
Underestimation Bias and Underfitting in Machine Learning. TAILOR 2020: 20-31 - [i2]Padraig Cunningham
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples). CoRR abs/2004.04523 (2020) - [i1]Padraig Cunningham
Algorithmic Bias and Regularisation in Machine Learning. CoRR abs/2005.09052 (2020)
2010 – 2019
- 2019
- [c37]Xuehao Liu, Sarah Jane Delany
Sound Transformation: Applying Image Neural Style Transfer Networks to Audio Spectograms. CAIP (2) 2019: 330-341 - [c36]Hao Chen, Susan McKeever, Sarah Jane Delany:
The Use of Deep Learning Distributed Representations in the Identification of Abusive Text. ICWSM 2019: 125-133 - 2018
- [c35]Bojan Bozic, André Ríos, Sarah Jane Delany
Validation of Tagging Suggestion Models for a Hotel Ticketing Corpus. iiWAS 2018: 15-23 - [c34]Jack O'Neill, Sarah Jane Delany, Brian Mac Namee:
Rank Scoring via Active Learning (RaScAL). HumL@ISWC 2018: 38-50 - [c33]Jack O'Neill, Sarah Jane Delany, Brian Mac Namee:
From Rankings to Ratings: Rank Scoring via Active Learning. ISWC (Best Workshop Papers) 2018: 69-81 - [c32]Hao Chen, Susan McKeever
A Comparison of Classical Versus Deep Learning Techniques for Abusive Content Detection on Social Media Sites. SocInfo (1) 2018: 117-133 - 2017
- [c31]Hao Chen, Susan McKeever, Sarah Jane Delany:
Abusive Text Detection Using Neural Networks. AICS 2017: 258-260 - [c30]Paul Laird, Sarah Jane Delany
Multiparty computations in varying contexts. DSC 2017: 400-407 - [c29]Jack O'Neill, Sarah Jane Delany, Brian Mac Namee:
Rating by Ranking: An Improved Scale for Judgement-Based Labels. IntRS@RecSys 2017: 24-29 - [c28]Hao Chen, Susan McKeever, Sarah Jane Delany
Presenting a labelled dataset for real-time detection of abusive user posts. WI 2017: 884-890 - 2016
- [j14]Rong Hu
Active learning for text classification with reusability. Expert Syst. Appl. 45: 438-449 (2016) - [c27]Jack O'Neill, Sarah Jane Delany, Brian Mac Namee:
Activist: A New Framework for Dataset Labelling. AICS 2016: 140-148 - [c26]Marisa Llorens-Salvador, Sarah Jane Delany:
Deep Level Lexical Features for Cross-lingual Authorship Attribution. MultiLingMine@ECIR 2016: 16-25 - [c25]Bruno Ohana, Brendan Tierney, Sarah Jane Delany:
Sentiment Classification Using Negation as a Proxy for Negative Sentiment. FLAIRS 2016: 316-321 - [c24]Lucas Rizzo
Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile. AIAI 2016: 215-229 - [c23]Hao Chen, Susan McKeever
Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media. UKCI 2016: 187-205 - [c22]Jack O'Neill, Sarah Jane Delany
Model-Free and Model-Based Active Learning for Regression. UKCI 2016: 375-386 - 2014
- [j13]Alexey Tarasov, Sarah Jane Delany
Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work. Expert Syst. Appl. 41(14): 6190-6210 (2014) - [c21]Eoghan O'Shea, Sarah Jane Delany, Rob Lane, Brian Mac Namee
NudgeAlong: A Case Based Approach to Changing User Behaviour. ICCBR 2014: 345-359 - 2013
- [j12]Santiago Ontañón, Sarah Jane Delany, William E. Cheetham:
Report on the 21st International Conference on Case-Based Reasoning. AI Mag. 34(4): 9- (2013) - [j11]Kenneth Kennedy, Brian Mac Namee
A window of opportunity: Assessing behavioural scoring. Expert Syst. Appl. 40(4): 1372-1380 (2013) - [j10]Patrick Lindstrom, Brian Mac Namee
Drift detection using uncertainty distribution divergence. Evol. Syst. 4(1): 13-25 (2013) - [j9]Kenneth Kennedy, Brian Mac Namee
Using semi-supervised classifiers for credit scoring. J. Oper. Res. Soc. 64(4): 513-529 (2013) - [e1]Sarah Jane Delany
Case-Based Reasoning Research and Development - 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013. Proceedings. Lecture Notes in Computer Science 7969, Springer 2013, ISBN 978-3-642-39055-5 [contents] - 2012
- [j8]Sarah Jane Delany
SMS spam filtering: Methods and data. Expert Syst. Appl. 39(10): 9899-9908 (2012) - [j7]Sarah Jane Delany
Profiling instances in noise reduction. Knowl. Based Syst. 31: 28-40 (2012) - [c20]Bruno Ohana, Sarah Jane Delany
A Case-Based Approach to Cross Domain Sentiment Classification. ICCBR 2012: 284-296 - [c19]Alexey Tarasov, Sarah Jane Delany
Dynamic Estimation of Rater Reliability in Subjective Tasks Using Multi-armed Bandits. SocialCom/PASSAT 2012: 979-980 - 2011
- [c18]Bruno Ohana, Brendan Tierney, Sarah Jane Delany
Domain Independent Sentiment Classification with Many Lexicons. AINA Workshops 2011: 632-637 - [c17]Alexey Tarasov, Sarah Jane Delany
Benchmarking classification models for emotion recognition in natural speech: A multi-corporal study. FG 2011: 841-846 - [c16]Patrick Lindstrom, Brian Mac Namee
Drift Detection Using Uncertainty Distribution Divergence. ICDM Workshops 2011: 604-608 - 2010
- [j6]Nicola Segata
Noise reduction for instance-based learning with a local maximal margin approach. J. Intell. Inf. Syst. 35(2): 301-331 (2010) - [c15]Rong Hu, Brian Mac Namee, Sarah Jane Delany:
Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning. FLAIRS 2010 - [c14]Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee:
Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost. FLAIRS 2010 - [c13]Rong Hu
EGAL: Exploration Guided Active Learning for TCBR. ICCBR 2010: 156-170 - [c12]Brian Mac Namee
CBTV: Visualising Case Bases for Similarity Measure Design and Selection. ICCBR 2010: 213-227
2000 – 2009
- 2009
- [c11]Kenneth Kennedy, Brian Mac Namee
Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem. AICS 2009: 174-187 - [c10]Sarah Jane Delany
The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing. ICCBR 2009: 135-149 - 2008
- [c9]Qian Zhang, Rong Hu, Brian Mac Namee, Sarah Jane Delany:
Back to the Future: Knowledge Light Case Base Cookery. ECCBR Workshops 2008: 239-248 - [p1]Pádraig Cunningham
Supervised Learning. Machine Learning Techniques for Multimedia 2008: 21-49 - 2007
- [j5]Michael G. Madden, Sarah Jane Delany:
About the authors. Artif. Intell. Rev. 27(4): 203-206 (2007) - [j4]Michael G. Madden
Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). Artif. Intell. Rev. 27(4): 207-208 (2007) - [c8]Sarah Jane Delany, Derek G. Bridge:
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering. ICCBR 2007: 314-328 - 2006
- [j3]Sarah Jane Delany
Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches. Artif. Intell. Rev. 26(1-2): 75-87 (2006) - [c7]Sarah Jane Delany, Padraig Cunningham, Barry Smyth:
ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift. ECAI 2006: 627- - [c6]Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal:
A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. FLAIRS 2006: 340-345 - [c5]Anton Zamolotskikh, Sarah Jane Delany, Padraig Cunningham
A methodology for comparing classifiers that allow the control of bias. SAC 2006: 582-587 - 2005
- [j2]Sarah Jane Delany
An Assessment of Case-Based Reasoning for Spam Filtering. Artif. Intell. Rev. 24(3-4): 359-378 (2005) - [j1]Sarah Jane Delany
A case-based technique for tracking concept drift in spam filtering. Knowl. Based Syst. 18(4-5): 187-195 (2005) - [c4]Sarah Jane Delany, Padraig Cunningham
Generating Estimates of Classification Confidence for a Case-Based Spam Filter. ICCBR 2005: 177-190 - 2004
- [c3]Sarah Jane Delany, Padraig Cunningham
An Analysis of Case-Base Editing in a Spam Filtering System. ECCBR 2004: 128-141 - [c2]Sarah Jane Delany, Pádraig Cunningham
A Case-Based Technique for Tracking Concept Drift in Spam Filtering. SGAI Conf. (Applications) 2004: 3-16 - [c1]Ronan Barrett, Sarah Jane Delany
OpenMVC: a non-proprietry component-based framework for web applications. WWW (Alternate Track Papers & Posters) 2004: 464-465
Coauthor Index
aka: Pádraig Cunningham
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last updated on 2024-10-07 21:21 CEST by the dblp team
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