Derek Greene

Orcid: 0000-0001-8065-5418

According to our database1, Derek Greene authored at least 122 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
A Deep Learning Approach for Selective Relevance Feedback.
Proceedings of the Advances in Information Retrieval, 2024

Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Surrogate explanations for role discovery on graphs.
Appl. Netw. Sci., December, 2023

Counterfactual explanations for misclassified images: How human and machine explanations differ.
Artif. Intell., November, 2023

A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants.
ACM Trans. Inf. Syst., April, 2023

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.
Frontiers Artif. Intell., February, 2023

RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.
CoRR, 2023

The Role of Document Embedding in Research Paper Recommender Systems: To Breakdown or to Bolster Disciplinary Borders?
CoRR, 2023

Topic-Centric Explanations for News Recommendation.
CoRR, 2023

Graph Embedding for Mapping Interdisciplinary Research Networks.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction.
Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop co-located with The 45th European Conference on Information Retrieval ( ECIR), 2023

Handwriting Analysis on the Diaries of Rosamond Jacob.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022
Towards explainable community finding.
Appl. Netw. Sci., 2022

Author multidisciplinarity and disciplinary roles in field of study networks.
Appl. Netw. Sci., 2022

Assessing Network Representations for Identifying Interdisciplinarity.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.
Proceedings of the Case-Based Reasoning Research and Development, 2022

An Analysis of Variations in the Effectiveness of Query Performance Prediction.
Proceedings of the Advances in Information Retrieval, 2022

The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs.
Proceedings of the Complex Networks and Their Applications XI, 2022

On the Reproduciblity and Robustness of Query Performance Prediction Experiments - An Extended Abstract.
Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), 2022

A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research.
CoRR, 2021

Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions.
CoRR, 2021

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation.
CoRR, 2021

Instance-Based Counterfactual Explanations for Time Series Classification.
Proceedings of the Case-Based Reasoning Research and Development, 2021

Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2021.
Proceedings of the Working Notes of FIRE 2021, 2021

Selecting Informative Features for Post-hoc Community Explanation.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Navigating Multidisciplinary Research Using Field of Study Networks.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Nearest Neighbour-Based Data Augmentation for Time Series Forecasting.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

2020
Ensemble topic modeling using weighted term co-associations.
Expert Syst. Appl., 2020

Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography.
CoRR, 2020

Overlapping community finding with noisy pairwise constraints.
Appl. Netw. Sci., 2020

Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2020.
Proceedings of the FIRE 2020: Forum for Information Retrieval Evaluation, 2020

Curatr: A Platform for Exploring and Curating Historical Text Corpora.
Proceedings of the Digital Humanities in the Nordic Countries 5th Conference, 2020

Mitigating Gender Bias in Machine Learning Data Sets.
Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

Where's the Why? In Search of Chains of Causes for Query Events.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020

Active Learning for the Text Classification of Rock Climbing Logbook Data.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020

2019
EVE: explainable vector based embedding technique using Wikipedia.
J. Intell. Inf. Syst., 2019

Temporal Analysis of Reddit Networks via Role Embeddings.
CoRR, 2019

Active semi-supervised overlapping community finding with pairwise constraints.
Appl. Netw. Sci., 2019

Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts.
Proceedings of the Metadata and Semantic Research - 13th International Conference, 2019

Comparison of Embedding Techniques for Topic Modeling Coherence Measures.
Proceedings of the Poster Session of the 2nd Conference on Language, 2019

2018
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track.
Mach. Learn., 2018

Stability of topic modeling via matrix factorization.
Expert Syst. Appl., 2018

Introduction to the special issue for the ECML PKDD 2018 journal track.
Data Min. Knowl. Discov., 2018

Semi-supervised Overlapping Community Finding Based on Label Propagation with Pairwise Constraints.
Proceedings of the Complex Networks and Their Applications VII, 2018

MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017
Spreading One's Tweets: How Can Journalists Gain Attention for their Tweeted News?
J. Web Sci., 2017

On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools.
CoRR, 2017

Lit@EVE: Explainable Recommendation Based on Wikipedia Concept Vectors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Exploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddings.
Proceedings of the Language, Data, and Knowledge - First International Conference, 2017

Weak Supervision for Semi-supervised Topic Modeling via Word Embeddings.
Proceedings of the Language, Data, and Knowledge - First International Conference, 2017

TweetCric: A Twitter-Based Accountability Mechanism for Cricket.
Proceedings of the Web Engineering - 17th International Conference, 2017

Finding Niche Topics using Semi-Supervised Topic Modeling via Word Embeddings.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

Synthetic Dataset Generation for Online Topic Modeling.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

Semi-Supervised Overlapping Community Finding with Pairwise Constraints.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

2016
Indicators of Good Student Performance in Moodle Activity Data.
CoRR, 2016

Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach.
CoRR, 2016

Spreading the news: how can journalists gain more engagement for their tweets?
Proceedings of the 8th ACM Conference on Web Science, 2016

Discovering structure in social networks of 19th century fiction.
Proceedings of the 8th ACM Conference on Web Science, 2016

TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Time Series Analysis of VLE Activity Data.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Detecting Attention Dominating Moments Across Media Types.
Proceedings of the First International Workshop on Recent Trends in News Information Retrieval co-located with 38th European Conference on Information Retrieval (ECIR 2016), 2016

The Sense and Sensibility of Different Sliding Windows in Constructing Co-occurrence Networks from Literature.
Proceedings of the Computational History and Data-Driven Humanities, 2016

Benchmarking Multi-label Classification Algorithms.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Time Series Clustering of Moodle Activity Data.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Novel2Vec: Characterising 19th Century Fiction via Word Embeddings.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Dimensionality Reduction and Visualisation Tools for Voting Records.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Ensemble Topic Modeling via Matrix Factorization.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

An Investigation into Information Navigation via Diverse Keyword-based Facets.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Topic Stability over Noisy Sources.
Proceedings of the 2nd Workshop on Noisy User-generated Text, 2016

2015
An analysis of the coherence of descriptors in topic modeling.
Expert Syst. Appl., 2015

Topic Stability over Noisy Sources.
CoRR, 2015

TextLuas: Tracking and Visualizing Document and Term Clusters in Dynamic Text Data.
CoRR, 2015

Unveiling the Political Agenda of the European Parliament Plenary: A Topical Analysis.
Proceedings of the ACM Web Science Conference, 2015

Analyzing Discourse Communities with Distributional Semantic Models.
Proceedings of the ACM Web Science Conference, 2015

2014
Adaptive Representations for Tracking Breaking News on Twitter.
CoRR, 2014

A Latent Space Analysis of Editor Lifecycles in Wikipedia.
Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

How Many Topics? Stability Analysis for Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Online social media in the Syria conflict: Encompassing the extremes and the in-betweens.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
The Extreme Right Filter Bubble.
CoRR, 2013

Discovering Latent Patterns from the Analysis of User-Curated Movie Lists.
CoRR, 2013

TwitterCrowds: Techniques for Exploring Topic and Sentiment in Microblogging Data.
CoRR, 2013

Unsupervised graph-based topic labelling using dbpedia.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Uncovering the wider structure of extreme right communities spanning popular online networks.
Proceedings of the Web Science 2013 (co-located with ECRC), 2013

Producing a unified graph representation from multiple social network views.
Proceedings of the Web Science 2013 (co-located with ECRC), 2013

Kanopy: Analysing the Semantic Network around Document Topics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

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

Identifying Topical Twitter Communities via User List Aggregation
CoRR, 2012

Aggregating content and network information to curate twitter user lists.
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, 2012

A system for twitter user list curation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

An Analysis of Interactions within and between Extreme Right Communities in Social Media.
Proceedings of the Ubiquitous Social Media Analysis, 2012

An Eigenvalue-Based Measure for Word-Sense Disambiguation.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
Normalized Mutual Information to evaluate overlapping community finding algorithms
CoRR, 2011

Supporting the Curation of Twitter User Lists
CoRR, 2011

Improved functional overview of protein complexes using inferred epistatic relationships.
BMC Syst. Biol., 2011

Identifying Representative Textual Sources in Blog Networks.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Deriving Insights from National Happiness Indices.
Proceedings of the Data Mining Workshops (ICDMW), 2011

ThemeCrowds: multiresolution summaries of twitter usage.
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, 2011

2010
Partitioning large networks without breaking communities.
Knowl. Inf. Syst., 2010

Missing value imputation for epistatic MAPs.
BMC Bioinform., 2010

An Analysis of Current Trends in CBR Research Using Multi-View Clustering.
AI Mag., 2010

Merging multiple criteria to identify suspicious reviews.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Spectral Co-Clustering for Dynamic Bipartite Graphs.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Distortion as a validation criterion in the identification of suspicious reviews.
Proceedings of the First Workshop on Social Media Analytics, 2010

Using Crowdsourcing and Active Learning to Track Sentiment in Online Media.
Proceedings of the ECAI 2010, 2010

Tracking the Evolution of Communities in Dynamic Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
A Matrix Factorization Approach for Integrating Multiple Data Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A Machine Learning System for Tracking Sentiment in Irish Economic News.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2008
Unsupervised Learning and Clustering.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Ensemble non-negative matrix factorization methods for clustering protein-protein interactions.
Bioinform., 2008

An Analysis of Research Themes in the CBR Conference Literature.
Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

Parallel integration of heterogeneous genome-wide data sources.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Practical solutions to the problem of diagonal dominance in kernel document clustering.
Proceedings of the Machine Learning, 2006

Efficient Prediction-Based Validation for Document Clustering.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Producing Accurate Interpretable Clusters from High-Dimensional Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

2004
Instant Messaging & Presence Management in Mobile Ad-Hoc Networks.
Proceedings of the 2nd IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2004 Workshops), 2004

Ensemble Clustering in Medical Diagnostics.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004


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