Sarah Jane Delany

According to our database1, Sarah Jane Delany authored at least 60 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Online presence:

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Bibliography

2021
k-Nearest Neighbour Classifiers - A Tutorial.
ACM Comput. Surv., 2021

Feature Selection Tutorial with Python Examples.
CoRR, 2021

Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases.
CoRR, 2021

Fairer Evaluation of Zero Shot Action Recognition in Videos.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020
Comparing tagging suggestion models on discrete corpora.
Int. J. Web Inf. Syst., 2020

Algorithmic Bias and Regularisation in Machine Learning.
CoRR, 2020

k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples).
CoRR, 2020

Underestimation Bias and Underfitting in Machine Learning.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Exploration of Approaches to Arabic Named Entity Recognition.
Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 17th Extended Semantic Web Conference (ESWC 2020), 2020

Active Learning for Auditory Hierarchy.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019
The Use of Deep Learning Distributed Representations in the Identification of Abusive Text.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Sound Transformation: Applying Image Neural Style Transfer Networks to Audio Spectograms.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
A Comparison of Classical Versus Deep Learning Techniques for Abusive Content Detection on Social Media Sites.
Proceedings of the Social Informatics, 2018

From Rankings to Ratings: Rank Scoring via Active Learning.
Proceedings of the Emerging Topics in Semantic Technologies, 2018

Rank Scoring via Active Learning (RaScAL).
Proceedings of the 2nd International Workshop on Augmenting Intelligence with Humans­-in-­the-­Loop co-located with 17th International Semantic Web Conference (ISWC 2018), 2018

Validation of Tagging Suggestion Models for a Hotel Ticketing Corpus.
Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, 2018

2017
Presenting a labelled dataset for real-time detection of abusive user posts.
Proceedings of the International Conference on Web Intelligence, 2017

Rating by Ranking: An Improved Scale for Judgement-Based Labels.
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

Multiparty computations in varying contexts.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2017

Abusive Text Detection Using Neural Networks.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

2016
Active learning for text classification with reusability.
Expert Syst. Appl., 2016

Model-Free and Model-Based Active Learning for Regression.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Sentiment Classification Using Negation as a Proxy for Negative Sentiment.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Deep Level Lexical Features for Cross-lingual Authorship Attribution.
Proceedings of the First Workshop on Modeling, 2016

Activist: A New Framework for Dataset Labelling.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

2014
Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work.
Expert Syst. Appl., 2014

NudgeAlong: A Case Based Approach to Changing User Behaviour.
Proceedings of the Case-Based Reasoning Research and Development, 2014

2013
Using semi-supervised classifiers for credit scoring.
J. Oper. Res. Soc., 2013

Drift detection using uncertainty distribution divergence.
Evol. Syst., 2013

A window of opportunity: Assessing behavioural scoring.
Expert Syst. Appl., 2013

Report on the 21st International Conference on Case-Based Reasoning.
AI Mag., 2013

2012
Profiling instances in noise reduction.
Knowl. Based Syst., 2012

SMS spam filtering: Methods and data.
Expert Syst. Appl., 2012

Dynamic Estimation of Rater Reliability in Subjective Tasks Using Multi-armed Bandits.
Proceedings of the 2012 International Conference on Privacy, 2012

A Case-Based Approach to Cross Domain Sentiment Classification.
Proceedings of the Case-Based Reasoning Research and Development, 2012

2011
Benchmarking classification models for emotion recognition in natural speech: A multi-corporal study.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Domain Independent Sentiment Classification with Many Lexicons.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2011

2010
Noise reduction for instance-based learning with a local maximal margin approach.
J. Intell. Inf. Syst., 2010

CBTV: Visualising Case Bases for Similarity Measure Design and Selection.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

EGAL: Exploration Guided Active Learning for TCBR.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009
The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing.
Proceedings of the Case-Based Reasoning Research and Development, 2009

Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2008
Supervised Learning.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Back to the Future: Knowledge Light Case Base Cookery.
Proceedings of the ECCBR 2008, 2008

2007
Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07).
Artif. Intell. Rev., 2007

About the authors.
Artif. Intell. Rev., 2007

Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering.
Proceedings of the Case-Based Reasoning Research and Development, 2007

2006
Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches.
Artif. Intell. Rev., 2006

A methodology for comparing classifiers that allow the control of bias.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
A case-based technique for tracking concept drift in spam filtering.
Knowl. Based Syst., 2005

An Assessment of Case-Based Reasoning for Spam Filtering.
Artif. Intell. Rev., 2005

Generating Estimates of Classification Confidence for a Case-Based Spam Filter.
Proceedings of the Case-Based Reasoning, 2005

2004
OpenMVC: a non-proprietry component-based framework for web applications.
Proceedings of the 13th international conference on World Wide Web, 2004

An Analysis of Case-Base Editing in a Spam Filtering System.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004


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