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Richard McCreadie
Richard M. C. McCreadie
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2020 – today
- 2024
- [c71]Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard McCreadie, Gerardo Aragon-Camarasa:
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. ECAI 2024: 1800-1807 - [c70]Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. ECCV (54) 2024: 435-454 - [c69]Javier Sanz-Cruzado
, Edward Richards
FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain. ECIR (5) 2024: 267-271 - [c68]Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng:
LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. ICASSP 2024: 5275-5279 - [c67]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. ICASSP 2024: 6580-6584 - [c66]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. ICRA 2024: 12428-12435 - [c65]Zijun Long
CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora. SIGIR 2024: 2188-2198 - [i16]Zijun Long, Richard McCreadie, Muhammad Imran:
CrisisViT: A Robust Vision Transformer for Crisis Image Classification. CoRR abs/2401.02838 (2024) - [i15]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 abs/2402.14551 (2024) - [i14]Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose:
Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries. CoRR abs/2402.15276 (2024) - [i13]Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson:
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR abs/2403.06289 (2024) - [i12]Javier Sanz-Cruzado, Nikolaos Droukas, Richard McCreadie:
FAR-Trans: An Investment Dataset for Financial Asset Recommendation. CoRR abs/2407.08692 (2024) - 2023
- [c64]Alexander Pugantsov
Divergence-Based Domain Transferability for Zero-Shot Classification. EACL (Findings) 2023: 1604-1609 - [i11]Alexander Pugantsov, Richard McCreadie:
Divergence-Based Domain Transferability for Zero-Shot Classification. CoRR abs/2302.05735 (2023) - [i10]Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie:
LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR abs/2303.18013 (2023) - [i9]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng:
When hard negative sampling meets supervised contrastive learning. CoRR abs/2308.14893 (2023) - [i8]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. CoRR abs/2309.01516 (2023) - [i7]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. CoRR abs/2310.10221 (2023) - [i6]Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie:
Large Multi-modal Encoders for Recommendation. CoRR abs/2310.20343 (2023) - [i5]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 abs/2311.16481 (2023) - 2022
- [c63]Alexander J. Hepburn
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. ECIR (2) 2022: 137-143 - [c62]Cody Buntain, Richard McCreadie, Ian Soboroff:
Incident Streams 2021 Off the Deep End: Deeper Annotations and Evaluations in Twitter. ISCRAM 2022: 584-604 - [c61]Zijun Long, Richard McCreadie:
Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? ISCRAM 2022: 1068-1080 - [p1]Richard McCreadie, John Soldatos
Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. Technologies and Applications for Big Data Value 2022: 135-158 - [i4]Alexander Pugantsov, Richard McCreadie:
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. CoRR abs/2202.01096 (2022) - 2021
- [j9]Zaiqiao Meng
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24(4-5): 347-369 (2021) - [c60]Cody Buntain, Richard McCreadie, Ian Soboroff:
Incident Streams 2020: TRECIS in the Time of COVID-19. ISCRAM 2021: 621-639 - [c59]Zijun Long, Richard McCreadie:
Automated Crisis Content Categorization for COVID-19 Tweet Streams. ISCRAM 2021: 667-678 - [c58]Alexander J. Hepburn, Richard McCreadie:
University of Glasgow Terrier Team (uogTr) at the TREC 2021 Incident Streams Track. TREC 2021 - 2020
- [j8]Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38(2): 16:1-16:32 (2020) - [c57]Richard McCreadie, Cody Buntain, Ian Soboroff:
Incident Streams 2019: Actionable Insights and How to Find Them. ISCRAM 2020: 744-760 - [c56]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys 2020: 588-590 - [c55]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys 2020: 681-686 - [c54]Cody Buntain, Richard McCreadie, Ian Soboroff:
Incident Streams 2020: TRECIS in the Time of COVID-19. TREC 2020 - [c53]Alexander J. Hepburn, Richard McCreadie:
University of Glasgow Terrier Team (uogTr) at the TREC 2020 Incident Streams Track. TREC 2020 - [i3]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR abs/2007.13237 (2020)
2010 – 2019
- 2019
- [j7]Richard McCreadie
On enhancing the robustness of timeline summarization test collections. Inf. Process. Manag. 56(5): 1815-1836 (2019) - [c52]Richard McCreadie, Cody Buntain, Ian Soboroff:
TREC Incident Streams: Finding Actionable Information on Social Media. ISCRAM 2019 - [c51]Charles Thomas, Richard McCreadie, Iadh Ounis:
Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR 2019: 1341-1344 - [i2]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR abs/1909.07705 (2019) - 2018
- [j6]Karin Sim Smith, Richard McCreadie
Regional Sentiment Bias in Social Media Reporting During Crises. Inf. Syst. Frontiers 20(5): 1013-1025 (2018) - [j5]Richard McCreadie, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Explicit Diversification of Event Aspects for Temporal Summarization. ACM Trans. Inf. Syst. 36(3): 25:1-25:31 (2018) - [c50]Dimosthenis Kyriazis
BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations. BigData Congress 2018: 237-241 - [c49]Craig Macdonald, Richard McCreadie, Iadh Ounis:
Agile Information Retrieval Experimentation with Terrier Notebooks. DESIRES 2018: 54-61 - [c48]Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang:
On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. ECIR 2018: 263-275 - [c47]Ting Su
On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. ECIR 2018: 765-772 - [c46]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Automatic Ground Truth Expansion for Timeline Evaluation. SIGIR 2018: 685-694 - 2017
- [c45]Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis
Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. ASONAM 2017: 317-320 - [c44]Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis
Transfer Learning for Multi-language Twitter Election Classification. ASONAM 2017: 341-348 - [c43]Gaurav Baruah, Richard McCreadie, Jimmy Lin:
A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries. CIKM 2017: 67-76 - [c42]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 - 2016
- [c41]Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Fernando Diaz:
A Study of Realtime Summarization Metrics. CIKM 2016: 2125-2130 - [c40]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
Experiments in Newswire Summarisation. ECIR 2016: 421-435 - [c39]Saul Vargas, Richard McCreadie, Craig MacDonald, Iadh Ounis:
Comparing Overall and Targeted Sentiments in Social Media during Crises. ICWSM 2016: 695-698 - [c38]Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis
Enhancing First Story Detection using Word Embeddings. SIGIR 2016: 821-824 - [c37]Richard McCreadie, Craig Macdonald, Iadh Ounis
EAIMS: Emergency Analysis Identification and Management System. SIGIR 2016: 1101-1104 - [c36]Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz:
Overview of the TREC 2016 Real-Time Summarization Track. TREC 2016 - [i1]Richard McCreadie, Craig MacDonald, Iadh Ounis:
Emergency Identification and Analysis with EAIMS. CoRR abs/1610.04002 (2016) - 2015
- [c35]Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. ICWSM 2015: 654-657 - [c34]Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis
Comparing Approaches for Query Autocompletion. SIGIR 2015: 775-778 - [c33]Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Tetsuya Sakai:
TREC 2015 Temporal Summarization Track Overview. TREC 2015 - [c32]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 - [c31]Richard McCreadie, Craig Macdonald, Iadh Ounis
Crowdsourced Rumour Identification During Emergencies. WWW (Companion Volume) 2015: 965-970 - [c30]Richard McCreadie, Karolin Kappler, Andreas Kaltenbrunner
SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. WWW (Companion Volume) 2015: 1217-1220 - 2014
- [c29]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: 37-42 - [c28]Richard McCreadie, Craig Macdonald, Iadh Ounis
Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. CIKM 2014: 301-310 - [c27]Richard McCreadie, Craig Macdonald, Iadh Ounis
A Study of Personalised Medical Literature Search. CLEF 2014: 74-85 - [c26]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
Comparing Algorithms for Microblog Summarisation. CLEF 2014: 153-159 - [c25]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: 1500-1504 - [c24]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
On choosing an effective automatic evaluation metric for microblog summarisation. IIiX 2014: 115-124 - [c23]Javed A. Aslam, Matthew Ekstrand-Abueg, Virgil Pavlu, Fernando Diaz, Richard McCreadie, Tetsuya Sakai:
TREC 2014 Temporal Summarization Track Overview. TREC 2014 - [c22]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 - 2013
- [j4]Richard McCreadie, Craig Macdonald, Iadh Ounis
Identifying top news using crowdsourcing. Inf. Retr. 16(2): 179-209 (2013) - [j3]Richard McCreadie:
News vertical search using user-generated content. SIGIR Forum 47(1): 62-63 (2013) - [c21]Richard McCreadie, Craig Macdonald, Iadh Ounis
Scalable distributed event detection for Twitter. IEEE BigData 2013: 543-549 - [c20]Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton:
Can Twitter Replace Newswire for Breaking News? ICWSM 2013 - [c19]Richard McCreadie, Craig Macdonald:
Relevance in microblogs: enhancing tweet retrieval using hyperlinked documents. OAIR 2013: 189-196 - [c18]Richard McCreadie, Craig Macdonald, Iadh Ounis
News vertical search: when and what to display to users. SIGIR 2013: 253-262 - [c17]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 - 2012
- [b1]Richard McCreadie:
News vertical search using user-generated content. University of Glasgow, UK, 2012 - [j2]Rodrygo L. T. Santos
Information Retrieval on the Blogosphere. Found. Trends Inf. Retr. 6(1): 1-125 (2012) - [j1]Richard McCreadie, Craig Macdonald, Iadh Ounis
MapReduce indexing strategies: Studying scalability and efficiency. Inf. Process. Manag. 48(5): 873-888 (2012) - [c16]Richard McCreadie, Craig Macdonald, Iadh Ounis
An examination of content farms in web search using crowdsourcing. CIKM 2012: 2551-2554 - [c15]Dean McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie:
Evaluating Real-Time Search over Tweets. ICWSM 2012 - [c14]Craig Macdonald, Richard McCreadie, Rodrygo L. T. Santos, Iadh Ounis:
From Puppy to Maturity: Experiences in Developing Terrier. OSIR@SIGIR 2012: 60-63 - [c13]Richard McCreadie, Craig Macdonald, Iadh Ounis
CrowdTerrier: automatic crowdsourced relevance assessments with terrier. SIGIR 2012: 1005 - [c12]Nut Limsopatham, Craig Macdonald, Richard McCreadie, Iadh Ounis
Exploiting term dependence while handling negation in medical search. SIGIR 2012: 1065-1066 - [c11]Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis
On building a reusable Twitter corpus. SIGIR 2012: 1113-1114 - [c10]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 - 2011
- [c9]Rodrygo L. T. Santos
Large-scale information retrieval experimentation with terrier. CIKM 2011: 2601-2602 - [c8]Richard McCreadie, Craig Macdonald, Iadh Ounis
A Learned Approach for Ranking News in Real-Time Using the Blogosphere. SPIRE 2011: 104-116 - [c7]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 - 2010
- [c6]Richard McCreadie, Craig Macdonald, Iadh Ounis:
News article ranking: leveraging the wisdom of bloggers. RIAO 2010: 40-48 - [c5]Richard McCreadie:
Leveraging user-generated content for news search. SIGIR 2010: 919 - [c4]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
2000 – 2009
- 2009
- [c3]Richard McCreadie, Craig Macdonald, Iadh Ounis
On single-pass indexing with MapReduce. SIGIR 2009: 742-743 - [c2]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Comparing Distributed Indexing: To MapReduce or Not? LSDS-IR@SIGIR 2009 - [c1]Richard McCreadie, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos:
University of Glasgow at TREC 2009: Experiments with Terrier. TREC 2009
Coauthor Index
Craig Macdonald
aka: Craig MacDonald
aka: Craig MacDonald
[i6] [p1] [j9] [c56] [c55] [i3] [j7] [i2] [j6] [j5] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c40] [c39] [c38] [c37] [i1] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [j4] [c21] [c20] [c19] [c18] [c17] [j2] [j1] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [c7] [c6] [c4] [c3] [c2] [c1]
[i6] [p1] [j9] [j8] [c56] [c55] [i3] [j7] [c51] [i2] [j6] [j5] [c49] [c48] [c47] [c46] [c45] [c44] [c40] [c39] [c38] [c37] [i1] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [j4] [c21] [c20] [c18] [c17] [j2] [j1] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [c7] [c6] [c4] [c3] [c2] [c1]
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