Richard McCreadie

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 61

Top Venues

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

Publications

Zijun Long, George Killick, Lipeng Zhuang, Gerardo Aragon-Camarasa, Zaiqiao Meng, Richard McCreadie
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. CoRR (2024)
Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR (2024)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. ICASSP (2024)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. ICRA (2024)
Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. ICASSP (2024)
Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose
Fast and Effective Long-Text To Image Retrieval for Large Corpora. SIGIR (2024)
Javier Sanz-Cruzado, Edward Richards, Richard McCreadie
FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain. ECIR (5) (2024)
Zijun Long, Richard McCreadie, Muhammad Imran
CrisisViT: A Robust Vision Transformer for Crisis Image Classification. CoRR (2024)
Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose
Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries. CoRR (2024)
Javier Sanz-Cruzado, Nikolaos Droukas, Richard McCreadie
FAR-Trans: An Investment Dataset for Financial Asset Recommendation. CoRR (2024)
Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. CoRR (2023)
Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie
LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR (2023)
Alexander Pugantsov, Richard McCreadie
Divergence-Based Domain Transferability for Zero-Shot Classification. EACL (Findings) (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. CoRR (2023)
Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie
Large Multi-modal Encoders for Recommendation. CoRR (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
When hard negative sampling meets supervised contrastive learning. CoRR (2023)
Alexander Pugantsov, Richard McCreadie
Divergence-Based Domain Transferability for Zero-Shot Classification. CoRR (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. CoRR (2023)
Alexander J. Hepburn, Richard McCreadie
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. CoRR (2022)
Cody Buntain, Richard McCreadie, Ian Soboroff
Incident Streams 2021 Off the Deep End: Deeper Annotations and Evaluations in Twitter. ISCRAM (2022)
Alexander J. Hepburn, Richard McCreadie
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. ECIR (2) (2022)
Zijun Long, Richard McCreadie
Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? ISCRAM (2022)
Alexander J. Hepburn, Richard McCreadie
University of Glasgow Terrier Team (uogTr) at the TREC 2021 Incident Streams Track. TREC (2021)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24 (4-5) (2021)
Cody Buntain, Richard McCreadie, Ian Soboroff
Incident Streams 2020: TRECIS in the Time of COVID-19. ISCRAM (2021)
Zijun Long, Richard McCreadie
Automated Crisis Content Categorization for COVID-19 Tweet Streams. ISCRAM (2021)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys (2020)
Alexander J. Hepburn, Richard McCreadie
University of Glasgow Terrier Team (uogTr) at the TREC 2020 Incident Streams Track. TREC (2020)
Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38 (2) (2020)
Cody Buntain, Richard McCreadie, Ian Soboroff
Incident Streams 2020: TRECIS in the Time of COVID-19. TREC (2020)
Richard McCreadie, Cody Buntain, Ian Soboroff
Incident Streams 2019: Actionable Insights and How to Find Them. ISCRAM (2020)
Charles Thomas, Richard McCreadie, Iadh Ounis
Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR (2019)
Richard McCreadie, Cody Buntain, Ian Soboroff
TREC Incident Streams: Finding Actionable Information on Social Media. ISCRAM (2019)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR (2019)
Richard McCreadie, Shahzad Rajput, Ian Soboroff, Craig Macdonald, Iadh Ounis
On enhancing the robustness of timeline summarization test collections. Inf. Process. Manag. 56 (5) (2019)
Richard McCreadie, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
Explicit Diversification of Event Aspects for Temporal Summarization. ACM Trans. Inf. Syst. 36 (3) (2018)
Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis
On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. ECIR (2018)
Richard McCreadie, Craig Macdonald, Iadh Ounis
Automatic Ground Truth Expansion for Timeline Evaluation. SIGIR (2018)
Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang
On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. ECIR (2018)
Karin Sim Smith, Richard McCreadie, Craig MacDonald, Iadh Ounis
Regional Sentiment Bias in Social Media Reporting During Crises. Inf. Syst. Frontiers 20 (5) (2018)
Craig Macdonald, Richard McCreadie, Iadh Ounis
Agile Information Retrieval Experimentation with Terrier Notebooks. DESIRES (2018)
Dimosthenis Kyriazis, Christos Doulkeridis, Panagiotis Gouvas, Ricardo Jiménez-Peris, Ana Juan Ferrer, Leonidas Kallipolitis, Pavlos Kranas, George Kousiouris, Craig Macdonald, Richard McCreadie, Yosef Moatti, Apostolos Papageorgiou, Marta Patiño-Martínez, Stathis Plitsos, Dimitrios Poulopoulos, Antonio Paradell, Amaryllis Raouzaiou, Paula Ta-Shma, Valerio Vianello
BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations. BigData Congress (2018)
Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis
Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. ASONAM (2017)
Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis
Transfer Learning for Multi-language Twitter Election Classification. ASONAM (2017)
Gaurav Baruah, Richard McCreadie, Jimmy Lin
A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries. CIKM (2017)
Jimmy Lin, Salman Mohammed, Royal Sequiera, Luchen Tan, Nimesh Ghelani, Mustafa Abualsaud, Richard McCreadie, Dmitrijs Milajevs, Ellen M. Voorhees
Overview of the TREC 2017 Real-Time Summarization Track. TREC (2017)
Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis
Enhancing First Story Detection using Word Embeddings. SIGIR (2016)
Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
Experiments in Newswire Summarisation. ECIR (2016)
Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz
Overview of the TREC 2016 Real-Time Summarization Track. TREC (2016)
Saul Vargas, Richard McCreadie, Craig MacDonald, Iadh Ounis
Comparing Overall and Targeted Sentiments in Social Media during Crises. ICWSM (2016)
Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Fernando Diaz
A Study of Realtime Summarization Metrics. CIKM (2016)
Richard McCreadie, Craig MacDonald, Iadh Ounis
Emergency Identification and Analysis with EAIMS. CoRR (2016)
Richard McCreadie, Craig Macdonald, Iadh Ounis
EAIMS: Emergency Analysis Identification and Management System. SIGIR (2016)
Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis
Comparing Approaches for Query Autocompletion. SIGIR (2015)
Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis
Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. ICWSM (2015)
Richard McCreadie, Craig Macdonald, Iadh Ounis
Crowdsourced Rumour Identification During Emergencies. WWW (Companion Volume) (2015)
Richard McCreadie, Karolin Kappler, Andreas Kaltenbrunner, Magdalini Kardara, Craig Macdonald, John Soldatos, Iadh Ounis
SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. WWW (Companion Volume) (2015)
Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Tetsuya Sakai
TREC 2015 Temporal Summarization Track Overview. TREC (2015)
Richard McCreadie, Saul Vargas, Craig MacDonald, Iadh Ounis, Stuart Mackie, Jarana Manotumruksa, Graham McDonald
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. TREC (2015)
Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lünen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien
Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. ACL (System Demonstrations) (2014)
Richard McCreadie, Craig Macdonald, Iadh Ounis
Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. CIKM (2014)
Richard McCreadie, Craig Macdonald, Iadh Ounis, Jon Brassey
A Study of Personalised Medical Literature Search. CLEF (2014)
Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
Comparing Algorithms for Microblog Summarisation. CLEF (2014)
Richard McCreadie, Romain Deveaud, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Thibaut Thonet, Bekir Taner Dinçer
University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC (2014)
Javed A. Aslam, Matthew Ekstrand-Abueg, Virgil Pavlu, Fernando Diaz, Richard McCreadie, Tetsuya Sakai
TREC 2014 Temporal Summarization Track Overview. TREC (2014)
Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
On choosing an effective automatic evaluation metric for microblog summarisation. IIiX (2014)
Graham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald, Iadh Ounis
University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. CLEF (Working Notes) (2014)
Richard McCreadie, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Bekir Taner Dinçer
University of Glasgow at TREC 2013: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC (2013)
Richard McCreadie
News vertical search using user-generated content. SIGIR Forum 47 (1) (2013)
Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton
Can Twitter Replace Newswire for Breaking News? ICWSM (2013)
Richard McCreadie, Craig Macdonald, Iadh Ounis, Miles Osborne, Sasa Petrovic
Scalable distributed event detection for Twitter. IEEE BigData (2013)
Richard McCreadie, Craig Macdonald
Relevance in microblogs: enhancing tweet retrieval using hyperlinked documents. OAIR (2013)
Richard McCreadie, Craig Macdonald, Iadh Ounis
News vertical search: when and what to display to users. SIGIR (2013)
Richard McCreadie, Craig Macdonald, Iadh Ounis
Identifying top news using crowdsourcing. Inf. Retr. 16 (2) (2013)
Nut Limsopatham, Craig Macdonald, Richard McCreadie, Iadh Ounis
Exploiting term dependence while handling negation in medical search. SIGIR (2012)
Craig Macdonald, Richard McCreadie, Rodrygo L. T. Santos, Iadh Ounis
From Puppy to Maturity: Experiences in Developing Terrier. OSIR@SIGIR (2012)
Richard McCreadie, Craig Macdonald, Iadh Ounis
CrowdTerrier: automatic crowdsourced relevance assessments with terrier. SIGIR (2012)
Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks. TREC (2012)
Dean McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie
Evaluating Real-Time Search over Tweets. ICWSM (2012)
Rodrygo L. T. Santos, Craig Macdonald, Richard McCreadie, Iadh Ounis, Ian Soboroff
Information Retrieval on the Blogosphere. Found. Trends Inf. Retr. 6 (1) (2012)
Richard McCreadie, Craig Macdonald, Iadh Ounis
MapReduce indexing strategies: Studying scalability and efficiency. Inf. Process. Manag. 48 (5) (2012)
Richard McCreadie, Craig Macdonald, Iadh Ounis, Jim Giles, Ferris Jabr
An examination of content farms in web search using crowdsourcing. CIKM (2012)
Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis, Dean McCullough
On building a reusable Twitter corpus. SIGIR (2012)
Richard McCreadie, Craig Macdonald, Iadh Ounis
A Learned Approach for Ranking News in Real-Time Using the Blogosphere. SPIRE (2011)
Rodrygo L. T. Santos, Richard McCreadie, Vassilis Plachouras
Large-scale information retrieval experimentation with terrier. CIKM (2011)
Richard McCreadie, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. TREC (2011)
Richard McCreadie
Leveraging user-generated content for news search. SIGIR (2010)
Richard McCreadie, Craig Macdonald, Iadh Ounis
News article ranking: leveraging the wisdom of bloggers. RIAO (2010)
Rodrygo L. T. Santos, Richard McCreadie, Craig Macdonald, Iadh Ounis
University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web Tracks. TREC (2010)
Richard McCreadie, Craig Macdonald, Iadh Ounis
Comparing Distributed Indexing: To MapReduce or Not? LSDS-IR@SIGIR (2009)
Richard McCreadie, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos
University of Glasgow at TREC 2009: Experiments with Terrier. TREC (2009)
Richard McCreadie, Craig Macdonald, Iadh Ounis
On single-pass indexing with MapReduce. SIGIR (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Richard McCreadie